RTIH magazine issue number nine by rtih

Retail InnovationTechnology Hub

BUILDING RETAIL’S BRAIN

Rohlik Group’s Vineta Bajaj discusses AI, automation, and the end of gut instinct

Omnichannel thought leaders

2025 edition of RTIH Top 100 Retail Technology Influencers List updated

Commerce meets conversational AI

Re-engineering the customer journey in an era of zero-click discovery

RTIH gets the lowdown on xTool, a leading provider of desktop laser cutters, engravers, and now apparel printers and metalfabs

Does digital signage actually drive sales? A landmark retail media study says ‘yes’

Retail InnovationTechnology Hub

ISSUE

September - November 2025

EDITOR AND FOUNDER

Scott Thompson

Email: scott.thompson@retailtechinnovationhub.com

Website: www.retailtechinnovationhub.com

LinkedIn: www.linkedin.com/company/ retail-technology-innovation-hub

CONTRIBUTORS

Vineta Bajaj

Mike Cadden

John-Pierre Kamel

Rachel Lawler

Trevor Sumner

Emma Thompson

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Buxton Press Limited

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GRAPHIC DESIGN

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TEditor’s letter

Welcome to the latest edition of RTIH magazine.

he future is here, but are retailers ready? It’s a question addressed by Graham Broomfield, COO at Neve Jewels Group, in a recent thought provoking LinkedIn post.

Broomfield argues that those who succeed will: Make AI and automation work for them now; Meet customers where they want to shop - TikTok, in-store, online, wherever; Simplify operations through better tech, not add layers of complexity; Move fast because the customer is already doing so.

“If you’re not building your business around these shifts today, someone else is. We’re not waiting for the future of retail anymore. It’s already here,” he concludes.

In the LinkedIn post, he also observes that AI has gone from buzzword to business as usual. Certainly, we are seeing lots of companies who are not only recognising the potential of the technology, but are also making it usable in everyday work - resulting in more efficiency and innovation in all areas.

And that’s what we will be focusing on with the first edition of the RTIH AI in Retail Awards, which is now open for entries. Deadline for submissions is Friday, 5th December. It’s free to enter and you can do so across multiple categories.

As we witness a digital transformation revolution across all channels, AI tools are reshaping the omnichannel game, from personalising customer experiences to optimising inventory, uncovering insights into consumer behaviour, and enhancing the human element of retailers’ businesses.

With 2025 proving to be the year when AI and especially gen AI shake off the ‘heavily hyped’ tag and become embedded in retail business processes, our newly launched awards celebrate global technology innovation in a fast moving omnichannel world and the resulting benefits for retailers, shoppers and employees.

Winners will be announced at an evening event at The Barbican in Central London on Thursday, 29th January.

Further information, including key dates, FAQs, and judging panel details, can be found at our website: retailtechinnovationhub.com. Thanks to all those who have entered thus far, and to everyone else, remember: you’ve got to be in it to win it!

Scott Thompson Editor & Founder, RTIH

scott.thompson@retailtechinnovationhub.com www.retailtechinnovationhub.com

ON THE COVER

RTIH gets the lowdown on xTool from Founder and CEO Jasen Wang.

TURNING INSPIRATION INTO REVENUE

HOW 3D TECH IS REDEFINING THE DIY

CX

Leigh Davidson

Leigh Davidson, Managing Director and CRO at 3D Cloud, explains why retailers are investing in visual tools that reduce designer onboarding and design time, provide better qualified leads, and help shoppers follow through on purchases.

For many DIY customers, a kitchen renovation starts with curiosity. They scroll through ideas, save pictures and begin measuring their space. Some have a clear sense of what they want. Others are just trying to see what is possible. What most people lack, though, is a clear picture of the final result.

Retailers in home improvement have seen this for years. People come in with plenty of ideas, but when the decisions get complicated or prices are unclear, progress stalls. Some shoppers go quiet. Others change their minds. Many simply stop altogether. That is starting to change. With the rise of 3D design tools that shoppers can use themselves or with help, retailers are now making it easier for people to move forward. These tools are not just for drawing layouts. They help people see what they are building, understand their choices and make decisions with confidence.

3D technology is making the kitchen planning process simpler, more visual and more straightforward for everyone involved.

Three types of DIY customers, one platform

One of the biggest advantages of the 3D Cloud Kitchen Planner is that it makes kitchen planning more collaborative and easier for trade professionals, independent planners, and guided renovators alike.

Independent planners

Some customers want to take their time and try things out. They are not ready to speak with a designer, but they want to understand their space, play with layouts and get a feel for pricing.

With the 3D Cloud Kitchen Planner, they can: • Try different layouts and products

3D tech is making the kitchen planning process simpler, more visual and more straightforward for everyone involved.

• Choose cabinets, worktops and finishes from actual catalogues

• See estimated costs as they go

• Save their designs to share later or continue in a design appointment

“The design process was really quick, and being able to see my kitchen in 360 made it feel real.” — DIY kitchen customer, UK

This gives the shopper more control and helps the retailer spot serious buyers early, without any added pressure.

Guided renovators

Other shoppers prefer to work with a professional from the start. They want help with design decisions and expect clear answers and quick results.

In these cases, the guided renovator can:

• Build the kitchen with a professional kitchen designer during the appointment

• Adjust layouts, materials and measurements in real-time

• Create a clear visual plan with pricing and installation details

“I’m not the most confident with tech, so working directly with the designer while they built everything in front of me was brilliant.”

— Kitchen showroom customer, UK

This approach leads to better conversations, fewer changes later and quicker approvals.

Trade

professionals

Many kitchen installations are handled by local tradespeople who serve multiple clients, often working across a variety of retailers. For this group, the 3D Cloud Kitchen Planner provides a reliable, easy-to-learn tool that supports their workflow.

Trade pros can:

• Generate instant visuals and materials lists to review with clients

• Confirm cabinet fit and appliance integration without guesswork

• Export contractor-ready plans and bill of materials

The result is less time spent chasing specs, fewer installation delays and happier clients who get what they expect. Retailers also benefit by making life easier for this important professional audience, turning trade partners into repeat customers and advocates.

”It’s quick, the outputs are spot on and it saves me hassle on every job. If a retailer’s got this, they’re getting more of my business.”

— Trade kitchen fitter, UK

What took weeks now takes days

Selling kitchens used to take a few weeks. Even the first meeting could last hours. Designers then had to draw up plans, send emails and wait for feedback. And the tools used were often difficult to learn and slow to update.

Meanwhile, customers were expected to imagine what everything would look like from flat 2D line drawings or low-quality images. That made decisions harder, not easier.

It was a slow, confusing process that left many people unsure and unwilling to commit.

Consultation 1 to 2 hours 15 to 20 minutes

Design creation 2 to 4 hours 5 to 10 minutes

Proposal preparation Manual, timeconsuming Instantly generated

Design revisions Multiple cycles over days 1 to 2 quick revisions

Client approval Often delayed Frequently same-day

What changes: Less time wasted, clearer decisions made early and faster progress toward the final sale.

Seeing is believing

According to the 2025 3D Cloud Kitchen and Bath Trends Study:

• 92% of homeowners who saw a 3D render said it helped them make decisions

• Those who used 3D planning tools were more likely to describe their projects as enjoyable and well organised

• Worries about cost were the most common reason for delays, but those who used visual tools were more confident and moved forward faster

When people can see their choices clearly, they stop guessing and start deciding.

Kitchen sales workflow speed

What design teams and retail leaders are saying

The 3D Cloud Kitchen Planner is not just built for customers. It is designed for the people helping them every day - showroom staff, designers and project managers. For teams used to juggling product options, customer questions and tight deadlines, the planner makes the job easier.

Retailers appreciate that it is easy to train on, does not require advanced tech skills and helps new team members become productive quickly. Designers like that it is simple, intuitive and unexpectedly fun to use.

It makes consultations faster and the whole experience more engaging for everyone involved.

“The least tech savvy member of the team was able to plan a kitchen quickly and easily.”

— Retail tech project manager for a major UK retailer

“The 3D Cloud kitchen planner is quicker and easier to use. Feels like a proper glimpse into the future of selling kitchens in retail.”

— Retail kitchen designer for a major UK retailer

Whether training new staff, running back-to-back appointments or helping a hesitant shopper feel more confident, design teams are finding that the right tools really do make all the difference.

Three results that stand out

Retailers using the 3D Cloud Kitchen Planner are already seeing real impact. Here are three standout results:

1. Most customers approve the design the first time

Once people see what they are getting, they are much more likely to agree on the first try. Retailers using the planner report approval rates of up to 95% during the first presentation.

2. The design process is 3× faster

Designers no longer spend hours building layouts. They can go from first conversation to a finished proposal in less than 30 minutes.

3. More shoppers go from browsing to buying

Those who begin on their own using the planner are more likely to follow through. By the time they speak with a designer, they have already made choices, understand costs, and are ready to finalise their plan.

For every room in the house

This approach works anywhere people need to make choices about layout, products and pricing. That includes:

• Furniture for any room

• Bedroom wardrobes

• Garden kitchens

• Modular office furniture

• Bathroom designs

• Garage or utility room setups

Wherever there are measurements, materials and multiple options to consider, a tool like this can simplify the process.

Why it matters

Retailers have spent years improving what happens after a sale is made. But for configurable products, the sale itself is the hardest part. That is where people often lose interest or get stuck.

3D planning tools help customers feel more certain earlier in the journey. They also make life easier for staff, saving time and reducing mistakes.

These tools are no longer just nice to have. They are becoming the main way people choose what to buy, how to customise it and when to say yes.

By making the experience clearer, faster and more personal, retailers are not only helping customers. They are selling more kitchens, creating better handovers for installers and building loyalty that lasts.

To learn more, visit 3DCloud.com/kitchens

8k render from the 3D Cloud Kitchen Designer

RTIH and 3D Cloud present the latest

The latest edition of the RTIH Top 100 Retail Technology Influencers List launched earlier this year. The list has seen a surge in popularity over the past few years, to the point that we’ve decided publishing it once a year is no longer enough.

Here, then, is a revised edition for 2025, with some names dropping out of the top 100 and some new names coming in (the latter are flagged as new entries for ease of reference).

RTIH has scoured the retail technology world to find the most influential figures for this comprehensive round up of people and trends that shape the industry and help drive it forward.

We’re witnessing a seismic change in shopping habits. Retailers are doubling down on innovative technologies like AR, AI, machine learning, robotics, and automation, and finding ways to use them to boost business efficiency and make customer experiences more exciting and dynamic.

Which is where the RTIH Top 100 Retail Technology Influencers List comes in, presented,

we should stress, in no particular order.

Such disruption requires new ways of problem solving and thought leaders who can both evangelise and execute on the likes of digital transformation and omnichannel excellence.

We hope you enjoy reading through it and, as always, if you would like to give feedback or believe that there are some glaring omissions, please feel free to get in touch.

Many thanks to 3D Cloud, which provides 3D product visualisation software trusted by top furniture and DIY retailers, for sponsoring the report.

Scott Thompson, Editor and Founder, RTIH

RTIH’s Top 100 Influencers

CAITLIN ALLEN | NEW ENTRY

LinkedIn Bio SVP of Market @ Simbe | 3 IPOs & Acquisitions | Board Member.

ANDY GAMBLE

LinkedIn Bio Global CIO | Investor | Non Executive Advisory Passionate about Technology, Retail, AI & Retail Media.

PAULA BOBBETT

LinkedIn Bio Chief Digital Officer/Executive Director/ Non Executive Director.

VINETA BAJAJ

LEONID GLADILIN

LinkedIn Bio Let’s boost your LTV | B2C and B2B e-commerce | Customer-centric loyalty | Retention is King.

CAROLINE VARGA

LinkedIn Bio Head of Uber Direct | on-demand delivery.

DOMINIQUE PIERRE LOCHER

LinkedIn Bio 1st generation digital pioneer, early stage investor and Food- and RetailTech entrepreneur.

GIOVANNI ZACCARIELLO

LinkedIn Bio SVP Global Visual Experience at Coach.

GRAHAM BROOMFIELD | NEW ENTRY

LinkedIn Bio COO Neve Jewels Group (Diamonds Factory, Austen & Blake & Sacet | Chief Digital Officer | NED | Investor | COO | CEO | NED | Trustee.

Caitlin Allen

RTIH’s Top 100 Influencers

GARY NEWBURY

SHISH SHRIDHAR

CASEY GOLDEN | NEW ENTRY

LinkedIn Bio Top 100 Retail Expert REThink Retail | Luxury Retail, Digital Transformation & Customer Experience Innovator PODCAST HOST: Retail Razor.

ANA PINTO

LinkedIn Bio CEO at Reckon.ai - We are Hiring!

JONATHAN DE MELLO

X Bio Retail & Retail Property expert. Founder & CEO of JDM Retail. NED. Top 25 Retail Influencer. Providing strategic consulting to retailers & property investors.

ANDREY GOLUB

LinkedIn Bio #Technology & #Strategy #Innovation. #FashionTech #DeepFashion #DesignAutomation #DigitalTransformation #MicroAutomation #DataDriven.

FRANK BEARD

X Bio Retail tech marketer | Speaker and writer | Once spent a month eating at gas stations and lived to tell the tale.

DEANN CAMPBELL

LinkedIn Bio Retail turnaround through optimising stores | Global Speaker | Rethink Retail Top Global Influencer | RTIH Top 100 Retail Technology Influencer.

Ana Pinto

RTIH’s Top 100 Influencers

LAWRENCE WILLIAMS

LinkedIn Bio Director of Retail Strategy | Sociologist | Solution Consultant | Author.

MICHELLE GRANT

X Bio Exploring the impact of digital transformation in retail and consumer goods. @Salesforce. Former Head of Retailing @Euromonitor. All opinions are my own.

MARSHALL KAY

LinkedIn Bio Strategic Advisor to retailers, global brands and investors. Speaker. Writer on Retail topics for Forbes. Named one of 2024’s Top Retail Influencers by UK-based Retail Tech Innovation Hub and US-based RETHINK Retail.

ALEX RIMMER | NEW ENTRY

LinkedIn Bio Marketing & comms leader shaping the future of retail through insight, storytelling & digital engagement. Director of Marketing & Communications.

ASIF AZIZ

LinkedIn Bio Retail Director EE/BT Group | NED | BT Group Clinical Advisory Board Member.

DAN MCGRATH | NEW ENTRY

LinkedIn Bio JD Group Customer Operations at JD Sports Fashion plc.

RICHARD NOON

LinkedIn Bio Product Manager - omnichannel at Footasylum.

SCOTT THOMPSON

LinkedIn Bio Editor and Founder at Retail Technology Innovation Hub and EdTech Innovation Hub. I’m hiring!

CATALINA SALAZAR

LinkedIn Bio Global Lead of Retail Media at Wolt | Advertising | Ad Tech & Product Management | Business Consulting.

Alex Rimmer Catalina Salazar

RTIH’s Top 100 Influencers

VIV CRASKE

LinkedIn Bio Advisor for retail/FoodTech/online grocery scale ups | Author.

MATTHEW TAYLOR

LinkedIn Bio CTO | Driving Business Value Through Global Technology, Cyber Security, Data and AI Leadership | CIO | Technology Executive.

DR. CHRISTIAN BOCK

LinkedIn Bio Empowering Tomorrow’s Retail Potential Today | reta Award Winner Best AI & Robotics Application 2023 (ALDI Nord).

ALICE RACKLEY

LinkedIn Bio Chief Executive Officer @ Polytag Limited | Connected packaging solutions and enabling circular economies through open standards.

Rackley

STEVE COLLINGE

LinkedIn Bio Rethink Retail Top Retail Expert 2025, RTIH Top 100 Retail Technology Influencer, Retail Commentator, International Speaker and Expert on the Home & Garden Industry. Group Managing Director | Sales & Marketing Director.

DARREN CREMINS | NEW ENTRY

LinkedIn Bio Partnering with Retailers to enable In Store Retail Media Success Stories. Ask Me How! SCALA a Stratacache Company | 20+ years Digital Signage knowledge | Lawn Bowls Novice.

PAUL DO FORNO

X Bio Managing Director / Eminence Lead Commerce Practice @DeloitteDigital. B2B B2C Commerce Digital Transformation Expert. Alum: @uofwaterloo.

ANDREW BUSBY

KIERAN BOWDEN

LinkedIn Bio Customer Success Director at Retail Assist & Barron McCann Limited.

BECK BESECKER

LinkedIn Bio Founder & CEO at 3D Cloud.

DAVID POLINCHOCK

LinkedIn Bio Helping retailers/brands understand emerging tech impacting physical space, including AR/ metaverse, payment tech | RETHINK Retail Top Retail Expert | RTIH Retail Influencer | Writing book on 3rd place w/Sydney Polinchock.

PAULA MACAGGI | NEW ENTRY

LinkedIn Bio Informing Retail Leaders | Founder of OFFBounds - #1 Podcast for Retail and Brands Executives | Reta Awards Judge | Top Retail Expert 2024 & 2025.

MIKE CADDEN

LinkedIn Bio Transformational retail focused IT Director/CIO/Programme Manager; RTIH Top 100 Retail Tech influencer.

Alice

RTIH’s Top 100 Influencers

SHARON YOURELL LAWLOR

LinkedIn Bio The Modern Shopper Strategist: Global Retail & Shopper Expert. Retail Author. Public Speaker. RETHINK Retail Top Expert (2023 & 2024). Decoding retail, tracking trends, and crafting impactful strategies.

MARTIN NEWMAN

LinkedIn Bio The Consumer Champion. Founder http:// CustomerServiceAction.com Agent: http://KnightAyton. co.uk New book out now: http://bit.ly/PowerofCX.

CHRISTINE RUSSO

GREG DEACON

MEGAN LUDLOW

LinkedIn Bio RTIH Top 100 Retail Tech Influencer (’22, ’23 & ‘24) | Product Manager - M&S App.

TREVOR SUMNER

LinkedIn Bio Entrepreneur - Executive - Advisor - Angel - Top 100 Retail And Top 50 RetailTech Influencer.

LEE COOPERSMITH

LinkedIn Bio Director of Business Development (UK & IE) - Excited to Innovate in Last-Mile Retail at Cleveron | Passionate about Transforming the Retail Experience | Technology Enthusiast.

RICHARD HAMMOND

LinkedIn Bio Uncrowd CEO & Founder | Expert in Experience Analytics.

BRITTAIN LADD

LinkedIn Bio AI for Supply Chain and Logistics l Warehouse and Fulfillment Automation l Humanoid Robotics l Autonomous Technology for Transportation l Digital Commerce l Business Strategy l Innovation l Opinion Writer.

Sharon Yourell Lawlor

RTIH’s Top 100 Influencers

JENNIFER STEPHENS

LinkedIn Bio CMO / Co-founder / NED / Venture

Builder / Advisor - US / UK / EMEA Integrating Frontier Technology to Reshape Consumer Business StrategiesWeb3 / AI / D2C 3.0 / Hospitality / Modern Leadership.

YAEL KOCHMAN

GLEN

RICHARDSON | NEW ENTRY

LinkedIn Bio Non Executive Director | Former COO @ The Range, CMO @ Fruugo.

ANDY BALDAUF

X Bio Top 100 Retail Tech Influencer | Done is better than perfect |Master #DigitalBusiness @fhhwz #digital #retail #ecommerce #marketing #innovation.

TONY D’ONOFRIO

LinkedIn Bio President @ Sensormatic | Recognized Global Top Retail Expert - 11,000+ Direct Contacts / 150,000+ Followers > Views my own.

BEN GIBBINS

LinkedIn Bio Connecting Retail Leaders With The Industry’s Best Technology & Transformation Talent | Retail Executive Search | Building The Retail Technology Leaders Hub - A Community For Retail Tech, Digital & Transformation Leaders.

STEVE LISTER

LinkedIn Bio Sustainability Consultant to Global Brands, Retailers & Partners - RETHINK Retail - Top Retail Expert Consultant 2024 - Top Retail Influencer 2023/24 - Retail Expert - RTIH Top 100 Retail Technology Influencer 2023/24.

EMILIO (WASIM) MALIK

LinkedIn Bio Founder of Lazeez Tapas Mayfair /Co Founder Tahina - Autonomous. AI. Frictionless stores / Entrepreneur.

MAUREEN HINTON

X Bio Retail Analyst, Commentator, Consultant, Speaker. Member of KPMG/Ipsos Retail Think Tank, Top 100 Retail Influencer @ Retail Rethink & RTIH.

NATALIE BERG

LinkedIn Bio Retail Analyst | Author | Podcast Host #RetailDisrupted.

TOBY PICKARD

LinkedIn Bio Retail Futures Senior Partner @ IGD | Top Retail Expert from Rethink Retail and RTIH Top Influencer.

JO HICKSON

LinkedIn Bio Head of Innovation, H&M Group, Stockholm.

MARTIN SCHOFIELD

LinkedIn Bio CEO at Retail247 | PIM and Stock SaaS Solutions.

Glen Richardson

RTIH’s Top 100 Influencers

JAMES PEPPER

LinkedIn Bio CEO @ Vista Technology Support | Charity Sector Trustee.

GLENN FAULKNER

LinkedIn Bio Automating Retail | Innovative Infrastructure & Hardware Product Manager | Driving Growth Through Bespoke Solutions | Cross-Functional Collaboration & Strategic Partnerships.

KATE HARDCASTLE

LinkedIn Bio Global Leader in Consumer Engagement

“Speaks fluent customer” Business Advisor Keynote Speaker Broadcaster EMEA USA PAN-ASIA Author - The Science of Shopping - pre order now Investor Passionate philanthropist.

CELIA VAN WICKEL

LinkedIn Bio Expert in eCommerce, Retail, CPG, and Marketing activation, insights, and trends | Creative and curious thought leader & storyteller | Thoughts expressed are my own.

OLYVIA MUNRO

LinkedIn Bio A 24-year-old building real-time product tracking for fashion retailers.

ISABELL AAKERVIK | NEW ENTRY

LinkedIn Bio Chief Expansion Officer at Sitoo | MACH Alliance Community Council Member | Women in MACH Ambassador.

NADINE NEATROUR

LinkedIn Bio Customer Centric Leader. Helping brands see through a customer lens to thrive. CMO. CCO. Advisory. Fractional. Consulting. NED.

CATHY MCCABE

LinkedIn Bio CEO & Co-Founder - Leading Global Retail Clienteling Solution | Empowering Associates with Omnichannel Retail | Build Your Business By Growing Customer Engagement | Understand Interactions | Data-Driven Retail Marketing.

James Pepper

Olyvia Munro

RTIH’s Top 100 Influencers

JUSTIN BRETON

LinkedIn Bio Innovative & inclusive marketing executive fostering meaningful engagement; Recognised as Ad Age 40 Under 40, Event Marketer Watchlist, Brand Innovators 40 Under 40, & Business Insider Rising Star of Brand Marketing.

OLIVER BANKS

LinkedIn Bio I help retailers drive operating model transformation and change // Consultant & Advisor // Author: Driving Retail Transformation // Podcast: The Retail Transformation Show // Keynote Speaker.

GREGG LONDON

LinkedIn Bio U.P.C. Data for Regulations, Compliance, and GS1 2D Initiatives - Supply Chain ConsultantGrocery Pragmatist - Magician – Rabbi.

ILANN HEPWORTH

LinkedIn Bio ShopAi, Enterprise AI Agents. Transforming Business Operations Through Natural Language Connecting Teams, Data & Systems via Intelligent Conversations.

ALEX BAKER

LinkedIn Bio Co-creating the new retail ecosystem.

SIMEON SIEGEL

LinkedIn Bio Managing Director, Senior Analyst, Board Member.

OSKAR JAKOBSSON

LinkedIn Bio Director Customer Solution @ICA - Senior retail manager. RTIH - Top 100 Retail tech influencer. Rethink Retail - Global Retail Leader. Retail tech expert and speaker.

Justin Breton Ilann Hepworth

RTIH’s Top 100 Influencers

WALTER HOLBROOK | NEW ENTRY

CAROLE KINGSBURY

LinkedIn Bio CIO | Technology Director | Peoplefocussed Change and Digital Transformation Leader.

RICK WATSON

LinkedIn Bio eCommerce Strategy Consultant | Strategic eCommerce Consulting to Optimize Your Results | ECommerce SaaS Positioning and Go-to-Market Strategy | Organizational Change Management | E-Commerce Expert Witness.

CARL BOUTET

LinkedIn Bio Retail Prescriptor | Marketing Educator | Global Strategist | Board Member & Advisor.

GONEN GERSHUNI

ART SEBASTIAN

LinkedIn Bio NexChapter I Entrepreneur I Technology Advisor I Omni-Channel Marketing I Digital Transformation I Retail Media Networks I Go-to-Market Strategy.

JOHN-PIERRE KAMEL

LinkedIn Bio Rethink Retail Top Retail Expert 2024 & 2025 | Retail, Omni-Channel, RFID Technology Executive | RTIH Top 100 Retail Global Technology Influencer 2024.

CHRIS IGWE

HARRY RIDLEY

LinkedIn Bio Head of Technology at Levy UK + Ireland.

SUMEET GOENKA

LinkedIn Bio Founder & CEO | YALLO Group – Tech Strategy & Talent for Retail, BFSI, Healthcare & More | Chief Architect | Ex-Richemont, Microsoft, Deloitte, Oracle.

HAMISH MCKAY | NEW ENTRY

LinkedIn Bio Co-founder & CEO of OrderEditing.com | Forbes 30 under 30.

SIMON SHANKSTER

LinkedIn Bio Vice President Business Development and Partnerships at Orderly | Top 100 Retail Technology Influencer | Achieving Results and Leading High Performing Teams | AI and Technology for Retail & Food Service. Harry Ridley

RTIH’s Top 100 Influencers

MATT BRADLEY

LinkedIn Bio Director & Founder - Retail Technology Show.

ELAINE PARR

LinkedIn Bio Consumer Products & Retail Leader |

MICHELLE KEARNS

STEVE DRESSER

LinkedIn Bio CEO @grocery_insight. Store insight, process, availability & better execution. Retail influencer. “The man supermarket CEO’s turn to” (BBC). SEN Tribunal vet.

PATRYK POWIERŻA

LinkedIn Bio Chief Growth Officer at x-kom | Forbes 30u30 | Tech Newsletter Author.

SVETLANA STOTSKAYA | NEW ENTRY

LinkedIn Bio Global Omnichannel Marketing / Strategy / AI & Data / Mentor at Techstars, Startup Wise Guys, Founder Institute / Awards Jury Member / Speaker / CMO Council.

Matt Bradley

RTIH’s Top 100 Influencers

ALFIE MEEKINGS

LinkedIn Bio Global Director of Transformation at AllSaints and John Varvatos.

TOBIAS CATERER

LinkedIn Bio Open Innovation Lead at M&S.

MIKE VAUGHN

LinkedIn Bio Retail Consultant and Trusted Advisor | Retail Strategy | Transformation | Technology and Process Consulting.

RON THURSTON

LinkedIn Bio Best Selling Author, Keynote Speaker, Podcast Host, and Senior Advisor.

MELISSA MOORE

LinkedIn Bio The Retail Advisor | The Retail Tea Break Podcast Host | Retail & Sales Lecturer | RETHINK Retail Top Retail Expert.

CAMILLA YOUNG | NEW ENTRY

LinkedIn Bio Chief Firestarter | Retail Transformation Leader | Connected Packaging Evangelist | High Impact Career Coach for Courageous Change Makers | DM me to talk future of retail or career reinvention.

HOW DO WE IDENTIFY THE TOP 100?

We use a variety of sources to select our top 100, including feedback from industry observers, research within our own networks, direct or thirdparty nominations via our website, and social media tools.

In addition to social presence, we also take into account award winners and judges, event speakers, books published, media appearances, and people building innovative companies, solutions etc in the retail space.

Camilla Young

Jasen Wang: “Creation should be simple and accessible”.

INTERVIEW Jasen Wang xTool Founder and CEO

RTIH gets the lowdown on xTool, a leading provider of desktop laser cutters, engravers, and now apparel printers and metalfabs.

RTIH: Tell us about yourself

JW: I’m Jasen Wang, Founder and CEO at xTool. I’ve always believed that creation should be simple and accessible. That belief became the foundation for xTool, a brand we launched in 2020 under Makeblock.

In just a few years, we’ve grown into one of the world’s leading providers of desktop laser cutters, engravers, and now apparel printers and metalfabs. Our mission is to empower makers, educators, and businesses of all sizes - including retailers and custom brand creators - to turn ideas into tangible products with tools that are not only powerful but also intuitive and affordable.

At xTool, we believe in creation as a journey - from vision to reality. Our technology bridges the gap between digital concepts and physical products, allowing users to bring their ideas to life more efficiently than ever. With AI powered design tools and precision hardware, we make creation seamless. Today, over half a million creators around the world use xTool to produce everything from custom tumblers and leather wallets to personalised apparel and signage. We’re proud to support this wave of micro-retail and product customisation, helping creators thrive in both online and offline sales.

RTIH: What was the inspiration behind setting the company up?

JW: The idea behind xTool came from a simple frustration: creative tools, especially for product personalisation and small batch manufacturing, were either too complicated, too expensive, or too limited for growing businesses. I wanted to change that. My goal was to democratise high-end fabrication tools, like

laser cutters and DTF printers, and make them accessible to retail startups, Etsy sellers, and even traditional stores wanting to offer in-house customisation.

We began with laser machines because they offer unmatched flexibility for custom products, from wooden signs to personalised phone cases. And we expanded into apparel printing after seeing huge demand from retail entrepreneurs looking for fast, high quality garment customisation. Whether it’s a shop adding names to products on demand or a growing brand building a unique SKU every day, xTool is built to support that kind of creative commerce.

We’re especially passionate about empowering SMBs to offer hyper-localised customisation. In an era dominated by global giants like Shein, local relevance has become a key competitive advantage. xTool enables smaller businesses to personalise products that resonate with their communities - helping them build stronger customer relationships and stand out through unique, locally inspired offerings.

RTIH: What has been the industry reaction thus far?

JW: The response has been phenomenal. Retailers and product sellers especially have embraced our machines as game-changers for customisation. Our apparel printer Kickstarter hit $1 million in just 1.5 hours, showing the strong demand for easy-to-use production tools that fit real retail environments. At trade shows like FESPA and CES, we’ve had boutique brands, craft business owners, and even larger retail chains drop by our booth to ask, “Can I use this in-store?” The answer is yes.

From Point of Sale personalisation to batch fulfilment for online shops, our tools are designed to support the growing need for unique, customer centric offerings. Retailers today are expected to do more with less, and we’re here to make that possible with compact, reliable, and affordable creative technology that transforms creative vision into creation in real-time.

RTIH: What has been your biggest challenge/setback?

Over half a million global creators use xTool to produce everything from custom tumblers and leather wallets to personalised apparel and signage

JW: Growth has been a double-edged sword. One major challenge has been building customer support infrastructure that scales with global demand, particularly for retail businesses that rely on uptime and fast service. We realised quickly that a small shop owner in Texas or a craft studio in Berlin can’t afford long downtimes. That’s we’ve just opened our U.S. HQ in Mountain View, California, to strengthen local support and after-sales service and our EU office in Dusseldorf is on the way too. Another challenge has been maintaining quality while scaling manufacturing. We’ve doubled down on testing, QC, and user feedback loops. Especially for our retail customers, consistency and reliability are non-negotiable. We’re working hard to ensure they get tools that just

Retailers are under pressure from all sides - rising costs, changing consumer preferences, and the shift to hyperpersonalised products.

Interview

work, day after day, so they can focus on growing their brand and creating value.

RTIH: What are the biggest challenges facing retailers right now?

JW: Retailers are under pressure from all sides - rising costs, changing consumer preferences, and the shift to hyper-personalised products. Customers now expect brands to deliver not just great quality but also customisation, speed, and sustainability. It’s no longer enough to stock the shelves - you need to offer something unique, fast, and tailored.

That’s where xTool fits in. Whether you’re a gift shop engraving names on wooden ornaments, a fashion retailer personalising t-shirts, or a pop-up brand offering event-specific merch, we provide the technology to make it happen.

In an era dominated by global giants like Shein, local relevance has become a key competitive advantage.

We also recognise that localised customisation is a critical tool for SMBs competing in a globalised retail landscape. With xTool, small and medium-sized businesses can quickly adapt to market shifts, create region specific products, and forge authentic connections with local customers, all without needing massive infrastructure or outsourcing. We’re giving them the power to scale smart, not just scale big.

RTIH: What’s the best question about your company or the market asked of you recently by: a.) an investor and b.) a customer?

JW: From an investor, the best question I got was: “How do you stay ahead in a market that’s innovating so quickly?” I said it comes down to agility and listening. We move fast, release new tools regularly, and gather feedback constantly, especially from retailers and small brands who use our machines every day. Our R&D pipeline is robust, and we’re investing in AI and automation to further simplify operations for commercial users.

From a customer, I was asked: “Can your new apparel printer keep up with retail demand?” It’s a great question, and the answer is yes. We designed it with retail scale throughput in mind: industrial-grade Epson i3200 printheads, AI driven calibration, and an intuitive interface that allows any staff member to start producing custom t-shirts or hoodies with minimal training. For retail shops that want to offer unique, high quality items on demand, this is a real game-changer.

Our mission is to turn ideas into tangible products with tools that are not only powerful but also intuitive and affordable

RTIH: What can we expect to see from xTool during 2025 and into 2026?

JW: We’re going deeper into retail ready technologiesfaster machines, smarter software, and even more plug and play tools for product personalisation. You’ll see our ecosystem grow beyond laser and apparel into areas like metalworking, expanded material compatibility, and deeper integrations with e-commerce platforms.

We’re also investing heavily in creator education, retail demo spaces, and better business tools to help our users not just make, but sell. That includes more localisation features for global markets, smarter design automation, and real-time inventory synchronisation tools. A core part of this strategy is the expansion of our xTool Squad - our global network of physical experience centres.

These spaces are hosted by passionate creators and experts who provide hands-on demos, machine setup, and ongoing support. They enable users to interact with xTool products in person, get expert guidance, and enjoy localised service before and after purchase. Whether you’re a retail brand exploring in-store personalisation or a small business owner launching your first product, xTool Squad brings our tools and community right to your neighbourhood.

Expect to see more xTool Squad locations opening globally, along with faster logistics and stronger local service infrastructure. For SMBs and retail innovators looking to scale personalisation without scaling complexity, we’ll be right there with them - on the ground, in their language, and at their pace.

“In just a few years, we’ve grown into one of the world’s leading providers of desktop laser cutters, engravers, and now apparel printers and metalfabs”.

“The response has been phenomenal. Retailers and product sellers especially have embraced our machines as gamechangers for customisation”.

Does digital signage actually drive sales?

A landmark retail media study says ‘yes’.

The $150 billion retail media the Point of Sale is where many retailers are hoping to rake in revenue. A whopping 80% of retailers are using digital signage today to enhance in-store experiences and drive conversions, according to Digital Signage Today.

But is digital signage actually driving sales at checkout? A landmark peer reviewed field study published by the Journal of Marketing answers that question

with a resounding yes. One of the largest ever studies of the impact of in-store digital signage, the findings by researchers at Vrije Universiteit Amsterdam (VU Amsterdam) and Babson College leverage data spanning 237 advertising campaigns and 30 million shoppers.

Not only did the study’s researchers uncover empirical data showing that digital ads boost sales conversion, they also quantified where, when and how the ads

deliver the greatest ROI. Among the study’s key findings are:

• Digital signage boosts the purchase likelihood of featured products by 8.1%.

• The likelihood effect is higher for new and low-priced products, as well as for popular brands.

• Point of Sale ads yield the biggest conversion on weekends, in late afternoon and evening, during good weather, and in crowded stores.

“The big takeaway is that quality in-store digital works,”

Retail media

Utilising the in-store digital channel fully benefits everyone, not just brands

says Chuck Billups, Global Head of Retail Media Advertising at PRN, part of the STRATACACHE family of advanced marketing technology companies and a global leader in interactive, intelligent shopper engagement experiences.

In fact, he notes that the 8.1% sales boost statistic may be too low when in-store ads are effectively deployed. “In studies in the US, we find much higher relative purchase intent and reported purchase behaviour in shoppers exposed to in-store advertising,” he comments. “They range from low double digits to even a few above a two times relative difference.”

A halo effect beyond PoS

Perhaps the study’s most impactful insight is that digital signage not

only shifts Point of Sale purchases - it stimulates incremental consumption for a brand beyond featured products at the checkout counter. Simply put, shoppers exposed to in-store digital ads are more inclined to purchase the brand’s other products during the same trip.

According to the study, digital signage yields an advertising elasticity (meaning, the percentage change in a brand’s sales due to a 1% change in the brand’s digital signage investment) of 0.18 - which is 50% higher than benchmark brand advertising elasticities - and it could lead to an average gross ROI in digital signage of 21%.

That halo effect could move the needle as brands formulate their retail media strategies. “We

are seeing renewed emphasis on Marketing Mix Modelling of all spends,” Billups explains. “Incremental sales and Incremental Return on Ad Spend (iROAS) are becoming the arbiters. Think of a pack of mints - will 8.1% justify an ad buy? The penny profit may be too low, but the iROAS may make it worth it.”

Europe’s in-store disconnect

Despite evidence that digital signage drives sales both at checkout and over the long-term, IAB Europe’s July 2025 “Attitudes to Retail Media Report” reveals a curious paradox: While brands and retailers are ramping up investment across Europe’s retail media ecosystem, spending on in-store digital advertising stubbornly lags behind that of every other channel.

The IAB report, based on a survey of over 180 advertisers, agencies, and retailers across 31 European markets, finds that although 79% of advertisers prioritise reaching shoppers at the Point of Sale, nearly half of buyers (48%) report zero digital advertising spend in physical retail environments.

This underinvestment contrasts with sharp growth across other retail media channels. Over 90% of buyers maintain substantial on-site

Digital deployment in-store can achieve shopper insights and secure sales. Leading European gym chain Basic-Fit uses digital to engage and inform members.

Retail media

investment, while off-site spend has surged dramatically - 46% of buyers now allocate more than 41% of their digital spend to off-site channels, up from just 30% in 2024.

Why the mismatch between in-store priorities and budget allocation? It suggests a misreading of in-store’s potential to drive results across the full funnel, says Alison Dunham, Sales Director of InStore Retail Media, UK, at PRN.

Before attitudes can shift, key stakeholders in in-store digital will need to present their receipts, she explains. “The onus is on retailers and their agency partners to show the full scope of what is achievable by way of shopper insight data in addition to attributable behavioural change and increased sales,” says Dunham.

“Some retailers, brands, and agencies still treat in-store as an essentially static channel, ignoring the opportunities presented by in-store digital displays and sensor technology. In doing so, they run the risk not only of running inefficient and wasteful campaigns that fail to achieve their full sales potential but also of squandering the attention and trust of shoppers.”

Actionable insights for brands and retailers

Will the Journal of Marketing study help close the in-store investment gap in Europe and across the retail media ecosystem?

For one, its findings may inform retailers’ approach to ad pricing

for years to come, says Billups. In the next few years in particular, he predicts, iROAS will become a required input for pricing strategies as brands increasingly focus on incremental sales.

And retailers can mine the study’s findings to optimise their overall in-store digital signage placement strategy. “Place it closer to the product instead of outside the front door,” says Billups. “Focus on high impact locations. Design the digital surfaces to be native and eye level.”

But it’s not just about the location of the in-store digital ad. To go beyond the 8.1% boost that the data reveals - and to soar potentially far beyond it - retailers and brands need to make the in-store digital

experience engaging and delightful.

As Dunham explains: “Utilising the in-store digital channel fully benefits everyone, not just brands. Retailers selling their in-store digital presence as simply another form of programmatic or resting on a CPM model rather than measuring shopper actions are missing out on not just a justifiably higher rate but also the opportunity to work with brands to deepen customer understanding and create compelling experiences that encourage repeat visits and purchases.”

“Put your creative strategy first instead of last, and use creative that works in the store on both branding and conversion levels,” Billups advises. “The returns are well worth the effort.”

In studies in the US, we find much higher relative purchase intent and reported purchase behaviour in shoppers exposed to in-store advertising

Major US grocer Albertsons has announced a pilot of in-store retail media capabilities with STRATACACHE.

FEATURE RICH TECH

to address PoS printing challenges in retail

In a challenging environment in which retailers are striving to increase customer engagement, innovative tech can help to drive operational efficiency as well as provide opportunities to diversify and boost revenue.

And with consumers increasingly ordering via multiple channels, demand for versatile order and labelling solutions alongside technology to facilitate unified commerce has clearly surged.

Scalability and flexibility are key and Star delivers the versatility required to integrate its PoS hardware with current and established systems, allowing businesses to seamlessly transition to mobile, tablet and cloud-based solutions.

This has ensured successful installation of its products into major retailers as well as smaller, independent stores. Feature-rich hardware with versatile connectivity allows for scalability, while providing a future-proof solution that can flexibly respond to changing needs as the business evolves.

For future-proof, scalable hardware that can support fixed, mobile and cloud

applications, Star provides the ideal solution with the TSP143IV X4 receipt and order printer. Equipped with exceptional connectivity: USB, LAN, WLAN and Bluetooth alongside cloud connectivity as standard the TSP143IV X4 delivers seamless compatibility with PoS systems, tablets, handheld devices, online ordering systems and self-ordering kiosks while supporting all major operating systems. As a result, the same model can be used in multiple locations, reducing the need for integration and training on a range of different printer models.

With its ultra compact size and ability to operate either horizontally, vertically or wall mounted the TSP143IV X4 takes limited counter space and can fit seamlessly into any retail environment. Moreover, thanks to auto reduction and thin paper support paper savings can be achieved, while a four-year warranty as

standard reflects the printer’s reliability and completes the package.

Ever mindful of the need for improved security in retail, Star’s unique cash drawer connection sensing feature adds an extra layer of protection to PoS systems, allowing the TSP143IV X4 printer to distinguish an open drawer or one which is completely disconnected. Alerts can be immediately triggered directly to a locally controlling application or via the cloud if the cash drawer is opened or disconnected.

Simple installation and operation

Delivering a new BLE based WLAN and Bluetooth setup designed to simplify wireless connectivity ‘out-of-the-box’, the TSP143IV X4 allows users to quickly connect via an auto-generated QR code or via the Star Quick Set Up Utility and be online within less than a minute.

Star has installed its products into major retailers as well as smaller, independent stores.

For multi-site installations, this clearly provides simple and straightforward provisioning of multiple printers.

PC PoS, tablet and cloud connected solutions

When it comes to receipt, order and label printing in-store, key challenges undoubtedly focus on ease of integration, multi-platform support and managing the printer estate in order to optimise operational efficiency and avoid any potential costly downtime. Star offers the flexibility of multi-platform integration across iOS, Android, Windows, Linux, ChromeOS/Web as well as tablet PoS and web-based printing accompanied by multiple device management. This is where solutions such as Star CloudPRNT™ and StarIO.Online really come into play. Star CloudPRNT stores and creates print jobs and communicates status with the printer. Orders created through web apps and cloud-based software can be directly printed in the store for remote ordering without the need for an additional tablet or device. Building on this, Star’s latest CloudPRNT Next technology provides faster, more secure and efficient communication between cloud applications and connected devices.

StarIO.Online is one of Star’s most advanced cloud services enabling fully managed cloud connected receipt, label and online order printing along with powerful device management tools for monitoring and controlling CloudPRNT enabled Star devices.

Running on securely managed cloud servers, StarIO.Online allows users to print to any CloudPRNT compatible device with real-time monitoring and centralised control. This includes realtime print job visibility with webhook notifications to reliably track print jobs, barcode scans, new device connections as well as status monitoring of both printer and connected cash drawers in a single or multi-store environment.

All Star’s latest receipt, ticket and label printers are CloudPRNT compatible and

With consumers increasingly ordering via multiple channels, demand for versatile order and labelling solutions alongside tech to facilitate unified commerce has surged

with Star continually innovating it is actively looking to further expand its range of cloud connected hardware.

The growth of self-service

As the rise in online ordering across multiple channels is resulting in greater demand for self-service kiosks for applications such as endless aisle, selfcheckout and store returns as well as the collection and delivery of food and beverages in QSR, kiosks can act as both a cost-effective solution for retailers and a convenient option for customers. Providing support for traditional PCs and tablet PoS, Star has developed long-standing partnerships with leading kiosk manufacturers supplying tier one retail chains as well as smaller stores. In addition to large scale projects, the expanding range of low cost offerings can be an attractive proposition for the SME market. Star also supports its iOS, Android, Windows, ChromeOS/Web tablet software partners with both open frame and housed kiosk printing solutions.

Alongside its compact mechanisms, Star’s robust packaged printers offer ease of installation, a variety of interface options and are CloudPRNT compatible for internet connected services. Driven by their lower cost compared to the modular open frame printer as well as ease to install, use and maintain, the packaged printer often successfully bridges the gap between a compact footprint and ease of use.

Multi-functional labelling

A sharp increase in multi-channel ordering and higher demands for efficient inventory management, accompanied by legislation around sustainable and accurately labelled

packaging, has resulted in an increased requirement for versatile and informative product labelling. Amongst the range of labelling solutions currently available, linerless labels without traditional backing paper offer both eco-friendly properties and operational efficiencies.

For businesses that require order and label printing solutions, the multi-media Star mC-Label2 and mC-Label3 printers can print traditional pre-formatted die cut labels, high adhesive permanent and semi-permanent variable length linerless labels as well as receipts.

This offers the ideal solution for printing different sizes and types of labels from 25mm to 80mm wide including product identification labels, shelf-edge labels, collection and return labels in addition to customer orders. And, featuring the same benefits as Star’s receipt printing range including tablet and cloud connectivity for ease of setup and multi-estate provisioning, these printers excel on all fronts.

StarIO.Online is one of Star’s most advanced cloud services.

AI and automation

Building retails brain

Retail has always been a business of instinct. Experienced merchants could walk the floor and predict stock levels. Buyers trusted their gut over algorithms. But the game has changed. In an era of razor thin margins, rising labour costs, volatile supply chains, and omnichannel demand, instinct is no longer enough.

From global grocery chains to emerging e-commerce players, retailers face operational decisions at a scale and speed that intuition alone cannot manage. This is where the shift begins: from gut instinct to data driven orchestration. And at the centre of that shift?

AI and automation.

Grocery retailers in particular face brutal economics. Net margins in the UK average just 1.5-2.5%, with some chains dipping below 1% in particularly competitive urban markets. According to IGD, operating margins for large UK grocers like Tesco and Sainsbury’s hover between 2% and 3%.

For online orders, fulfilment costs can exceed £5 per order, eating significantly into the gross margin of a typical £80 basket. Unless fulfilment processes are hyper-efficient, even healthy topline growth can drive losses.

According to McKinsey, picking accounts for over 50% of online grocery fulfilment costs. In a manual model, pick rates can average just 50–80 items per hour. Compare that to semi-automated facilities where AI enhanced systems regularly enable pick rates above 300 items per hour.

Add sick leave, inconsistent throughput, and rising wage expectations, and it’s clear that human centric models are under pressure. AI and automation offer not just cost reduction, but stability, and scalability.

Vineta Bajaj: The brain of retail is being rewired. And it’s powered by data.

Vineta Bajaj, Group CFO at Rohlik Group, discusses AI, automation, and the end of gut instinct.

AI and automation

The industry often positions automation as futuristic or out of reach. But the reality is, many of the technologies such as robotic picking arms, goods-to-person systems, AI demand forecasting are already here and delivering ROI.

Ocado’s highly automated customer fulfilment centres (CFCs), for instance, operate with item accuracy above 99% and significantly lower variable costs per order. Meanwhile, Tesco’s Transcend programme aims to enhance store-pick efficiency through AI powered inventory management and workforce scheduling.

What all of these have in common is a recognition that retail can’t afford to rely solely on people or legacy systems. Automation is now foundational infrastructure and not a bolt-on.

But automation hardware alone isn’t enough. The real leap comes from how decisions are made. In the past, a store manager might decide what shelf to use or how many drivers to roster.

Today, machine learning algorithms can forecast demand down to the SKU level, optimise pick routes to reduce walking distance by up to 40%, and dynamically

schedule shifts based on footfall and historical sales.

This orchestration layer, an AI powered “retail brain”, is emerging as the new centre of operational excellence. AI isn’t just replacing tasks. It’s creating a higher level of coherence across inbound logistics, picking, dispatch, final mile delivery, and even returns. Done right, it enables fewer people to make better decisions, faster and often before problems even surface.

Rohlik Group shows what’s possible when this orchestration layer meets scalable hardware: with over 1.3 million orders fulfilled monthly, YoY growth exceeding 40%, and accuracy rates above 99%, it’s a model that proves software and hardware are not competitors, they’re collaborators. And all of this is driven by years of customer behaviour, supply chain data and optimised using machine learning and AI.

Retailers outside of grocery are also using AI in transformative ways. EE’s Studio Store uses realtime footfall analytics and heat mapping to design adaptive layouts. Footasylum leverages AI to drive hyper-local pop-up retail based on granular customer data.

Zalando and Asos use natural

language processing to refine product search and recommendation engines, resulting in measurable improvements in conversion and customer satisfaction.

The innovation is not always headline grabbing, but it’s often quietly powerful: 10–15% fewer markdowns, 20% better forecast accuracy, and up to 30% reductions in out-of-stock incidents. And increasingly, it’s becoming the difference between surviving and scaling.

AI and automation aren’t just point solutions. Together, they represent a new way of thinking about retail: not as a chain of stores or a website, but as a dynamic, intelligent operating system.

Retailers who embrace this mindset will build agility into their infrastructure. They’ll make faster decisions, reduce waste, and serve customers better across every channel. They’ll also be better positioned to weather disruption, from supply shocks to changing customer behaviour, because their systems are built to adapt.

The era of gut instinct isn’t over; but it’s no longer running the show. The brain of retail is being rewired. And it’s powered by data.

Software and hardware are not competitors, they’re collaborators.

Tesco Transcend enhances store pick efficiency via AI.

Q&A Miguel Murta Cardosa Just Around The Corner’s

Portugal-based Just Around The Corner is a startup co-founded by former Sensei executive Miguel Murta Cardoso that delivers autonomous convenience stores to corporate and residential environments.

RTIH: Walk us through the recent launch of Just Around The Corner

MMC:: Just Around The Corner is a network of autonomous convenience stores in corporate offices and residential buildings in Portugal (for now). My background includes strategic consulting, retail supply chain management, and retail technology, where I developed a keen eye for making operations smarter and the customer experience more relevant.

My co-founder, José Pedro Granate, brings a highly complementary profile: he holds an MBA from INSEAD and has worked in both strategic consulting and at Amazon, where he led strategic and operational projects. Together, we founded Corner, a new retail format that transforms underused indoor spaces into modern, self-service stores with a curated product range, daily

maintenance, and a seamless user experience. We believe proximity retail can be both tech enabled and deeply human.

RTIH: Where did the idea come from?

MMC: The idea for Corner started long time ago, when I lived in Brazil where autonomous micromarkets were already a mature and widely adopted concept.

These stores combine automation with curated product selections, and they’re seamlessly integrated into both office and residential environments. Seeing how far ahead this model was compared to Europe, and how naturally it fit into people’s daily routines, was a big inspiration.

Upon my return to Portugal, I noticed a clear gap: most buildings still relied on outdated vending machines with poor variety, low nutritional value, and a disconnected user experience. At the same time, we are all becoming more conscious of how we spend our time. Whether at home or at work, the idea of going out just to grab a snack or basic grocery item feels increasingly inefficient.

Corner was created to fill that gap. We want to bring the convenience of modern retail directly into the spaces where people already live and work, offering a better, smarter, and more human alternative to vending machines.

RTIH: How has the startup journey been thus far?

MMC: The response has been extremely positive. Since we openly communicated the project launch, we’ve seen a surge in demand, especially from companies eager to enhance their workplace experience without investing in traditional foodservice infrastructure.

Our format is quick to install, easy to maintain, and delivers immediate value. In residential buildings, Corner is seen as a practical and differentiating amenity. We’ve also been approached by players from the retail, vending, and facility management sectors, exploring either partnerships or operational synergies.

Our format is quick to install, easy to maintain, and delivers immediate value.

We expect a significant increase in the number of stores over the coming months, and we’re scaling up our team and operations to match that momentum and our plans.

RTIH: What’s been your biggest challenge to date?

MMC: Operational consistency has been our biggest challenge. Each location requires a tailored approach, as consumption patterns vary significantly between offices and residential buildings.

To tackle that and improve efficiency, we’ve developed forecasting tools and more standardised routines. We’re constantly refining our model so it’s robust enough to scale, but flexible enough to feel local and relevant.

RTIH: Is your model more of a retail business or a tech enabled service?

MMC: It’s both, however we do not rely on highly expensive technology. We operate physical retail spaces with the support of traditional (but affordable) technology which we are evolving to match our business needs.

As time goes by, we expect artificial intelligence for such a business to become more affordable, and then for Corner to become an even more tech powered proximity retail operator.

RTIH: What are the biggest challenges facing physical retailers right now?

MMC: Remaining relevant. Today’s consumers expect maximum convenience, competitive pricing, and product

Startup Stories

variety. All at once. Delivering on these three fronts is extremely challenging, especially with rising operational costs and unpredictable traffic flows.

In office and residential retail, that challenge is even sharper: people want instant access to fresh, healthy products without queues, opening hours, or logistical friction. Many traditional formats struggle to meet these expectations.

At Corner, we’re tackling this by combining automation, human led operations, and location specific assortments, offering a flexible, leaner retail model that’s better adapted to today’s habits.

RTIH: What can we expect to see from Just Around The Corner over the coming months?

MMC: Despite the interest displayed from companies in other locations in Portugal (Porto, Algarve) and abroad (Switzerland, Cape Verde), our short-term strategy is to focus exclusively on Lisbon.

We want to validate and adjust the business model before scaling, test it across different building types, and ensure we’re delivering the right product mix for each setting. This will allow us to refine our technology, improve operational efficiency, and build a playbook for future growth.

In the coming months, we’ll expand our presence in Lisbon and prepare to scale the business, while keeping our core promise: proximity retail that’s convenient, curated, and human.

We believe proximity retail can be both technology enabled

and deeply human

Just Around The Corner’s co-founders have worked at Sensei and Amazon.

Journey to AI: build strong foundations for retail success

As Retail Express releases a comprehensive guide to AI integration in retail, here we explain the first steps retailers can take to overcome fragmented data, move beyond legacy systems, and harness the full power of artificial intelligence.

While AI has been grabbing headlines and presenting a vision of what is to come, AI is real and effective right now, and it forms the keystone of the retail industry’s future.

But for many businesses, the journey to AI feels like a daunting one. Fragmented data systems, legacy processes, and a fear of the unknown make AI retailing feel like an unassailable goal. Yes, AI transformation is ambitious, and there are challenges to overcome, but the rewards far outweigh the initial effort and it is achievable if taken one step at a time.

Adopting an AI mindset and preparing for change has to come first. This is an acknowledgment of the challenges faced by retailers and the need to get AI ready. To do AI right, retailers should be able to offer it a clean and consistent source of data - something which traditional retail practices have not really supported in the past.

The power of data unity

Retail tactics have evolved over time. This has led to a piecemeal construction of back-end processes, which in turn means siloed

data held in different locations, in different formats, and rely on different legacy systems that do not communicate with each other. Business functions might appear to work adequately with data held in this fractured structure, but fragmentation adds friction. The truth is that a legacy retailing structure IS broken when compared to that of retailers that have begun the AI transition underpinned and lubricated by unified data. A failure to innovate in data integration will leave legacy businesses struggling to catch up.

True benefits of retail AI

Buy-in is vital. Understanding exactly what retail AI is, what it can do, and how it differs from the generative AI of tools like ChatGPT is critical. Put simply, retail AI is practical. It’s a tool for calculation and analysis which builds efficiency and productivity, one with numerous direct applications which make retail businesses run more smoothly. AI driven decision making, for example, cuts the time required to find business data, analyse it, and action it.

A move towards AI does not mean losing control; and it does free senior staff to focus on broad strategy rather than repetitive, tactical tasks. AI can optimise pricing, predict trends, assist supplier negotiations, and help enhance supply chain resilience. AI offers retailers a huge productivity advantage, extra agility when the market is disrupted, and a route to boosted profitability.

Operational steps for preparation

Practically, then, how does a business go about preparing itself to transition to an AI-driven retailing model? The first stage is really about taking some initial actions, none of which demand any disruption of day-to-day business operations - this is about being prepared and fully understanding the company’s true structure. These foundational actions generate knowledge and form the essential basis of a plan for AI transition.

Action 1: Audit systems and skills

Retailers need to know their current state before they can move to a new one. Leadership must answer key questions on preparedness. How are disruptions and crises currently handled? Do existing systems have the agility to cope with future challenges? Does the business have skilled staff who understand AI’s potential - and, if not, where are the knowledge gaps?

Action 2: Foster support for AI

A move to AI is dependent on internal buy-in. Discover the ways that AI could make a difference. Read literature, research similar projects, perhaps appoint an AI ambassador to help spread the message of AI within the business. AI’s ubiquity means the topic is at the front of people’s minds - help them understand what it really means in practice.

Retail Express

Action 3: Build the business case

Justify the transition to AI by building a business case with costs and timelines. Lay out clear goals, plan broad waypoints, and identify the benefits that AI can deliver to the business. Equally, perform a cost / benefit analysis balancing the required investment in AI against expected gains in productivity, efficiency and profitability.

Action 4: Review the data

Data is AI’s most important asset, so a full review of the state of business data - where it’s stored, how accessible it is, how current it is - is essential to discover any gaps in availability, accuracy, or integration. Centralised, accessible, clean data is the backbone of AI readiness, so finding out exactly what’s happening is a crucial step.

Ready to start your journey to AI?

A journey of a thousand miles begins with a single step, says the ancient Chinese proverb, and it holds true today. Any retailer that is considering the introduction of AI into their business has already put that first foot forward. The momentum of those key foundational actions - auditing, task force creation, creating a business case and performing a data review - will carry them further.

AI will provide the analytics that will support and even secure retail’s future. Retail Express’ whitepaper provides a comprehensive guide to AI integration in retail, emphasising that AI adoption isn’t optional but essential for competitive survival. It presents AI as a journey that retailers can undertake to gain critical advantages in efficiency, customer experience, and market competitiveness.

Download Retail’s Journey To AI Whitepaper

retailexpress.com/ai-in-retail

About Retail Express

Retail Express is a leading provider of merchandising solutions and services for retail, wholesale and consumer packaged goods (CPG) manufacturers. It uses its deep industry understanding and expertise to provide business solutions that meet the evolving needs of merchandising and category management departments delivering improved productivity and enhanced financial results.

Through its AI powered end-to-end Intelligent Merchandising™ solution, Retail Express addresses the complex problems of advertising, marketing, promotions and pricing in retail, providing one version of the truth across the organisation and departments. Retail Express operates out of Leeds, UK, across Europe, North America, and Australia.

Commerce meets

conversational AI

Re-engineering the customer journey in an era of zero click discovery.

Early this spring, Agile SEO audited 23 retail websites in the fortnight after Google switched on AI Overviews for all logged in users. Organic visits fell 18 – 64%, sometimes overnight. The problem was not ranking loss; the blue links were still there. Shoppers simply stopped clicking because the answer was already on the results page.

That audit echoed a wider pattern. Search Engine

Land’s panel shows only 40.3% of US Google queries and 43.5% of EU/UK queries generated an organic click in March 2025, down roughly four points year-on-year.

Over the same period so-called zero click behaviour - where users read, buy or navigate without leaving Google - rose above 26% on both sides of the Atlantic. Put plainly, search has stopped being a jumping off point and become a destination in its own right.

Three overlapping forces are driving the shift.

1. Answer first discovery

Google’s AI Overviews now occupy up to 20% of US desktop queries, summarising multiple sources, embedding price alerts and one-tap checkout buttons. Shoppers get the gist, the rating and the price before they see a retailer’s site.

2. In-chat product selection

Amazon’s Rufus assistant, rolled out to all US customers in September 2024, narrows thousands of catalogue items to a half dozen tailored picks inside the shopping app. Shopify’s merchant facing Sidekick (live since Q4 2024) does the same on the back end, turning natural language prompts into merchandising actions.

3. AI native merchandising

Salesforce’s Einstein GPT for Commerce can generate full product listings - and variants - on the fly, fed by the retailer’s own data cloud. Meanwhile Alexa+, Amazon’s

generative upgrade announced in February 2025, chains tasks across services: it can remember a customer’s shoe size, order the pair, and book collection in one breath.

Across all three layers, the assistant - not the websiteowns the top of the funnel.

Search optimisation is far from dead, but the target has moved from rank to representation. Large language models pull from structured feeds, ratings, FAQs, and high resolution images. When those elements are missing or inconsistent, the model literally has nothing to say - and the retailer vanishes from the assistant’s answer set. Because AI summaries surface just a handful of external links (if any), visibility is effectively winner takes all.

Consumer adoption is already material. A February 2025 Bain & Company survey of 5,000 adults across six mature economies found 80% rely on AI written results for at least 40% of their searches, a behaviour change Bain links to a 15 –25% fall in organic web traffic. Pew Research adds that 58% of US adults have now seen an AI summary inside Google search. When a customer asks, “best vegan trainers under £120,” Google’s panel can display live stock, colour options and a buy button. The traditional funnel - awareness, consideration, purchase - compresses into a single exchange. Voice and chat also raise expectations: if a product page takes more than a moment to load or hides shipping costs, assistants with embedded price tracking will nudge shoppers elsewhere.

Foundational hygiene

• Enrich product data. Add granular attributes - materials, care instructions, sustainability claims - and publish them

Leaders who invest now in structured data, live availability APIs and conversation centric UX will ride the

zero click wave

in schema.org format so conversational models can quote you accurately.

• Surface live availability. Provide real-time stock through open APIs; assistants will demote out-of-stock SKUs.

• Fix performance basics. Sub-two-second mobile load times are no longer a nice to have; they are the minimum to stay in the assistant’s shortlist.

Differentiating plays

• Measure share of answer. Track how often your brand appears in AI overviews or voice replies and set a target alongside legacy rank reports.

• Deploy owned assistants. Embed generative chat in app, on-site and - via kiosk - in-store, capturing first-party intent before Big Tech does.

• Re-engineer loyalty triggers. Use conversation context: if cart risk rises, let the bot unlock free same-day delivery or suggest a margin friendly bundle in real-time.

The data fuelling these experiences - voice logs, chat transcripts, intent graphs - faces tightening scrutiny. Retailers should: Offer granular consent controls at the point of dialogue; Minimise retention: audit training sets and purge identifiers on a rolling schedule; Publish explainers on how recommendations are generated, satisfying the act’s “fair

Amazon’s Rufus assistant rolled out to all US customers in September 2024.

presentation” tests. Treat transparency as a feature, not an obligation; customers will reward the brands that demystify the algorithmic black box.

Retailers often talk about the “frictionless customer experience”. With the new generation of AI tools this goal, this ambition is now almost here. Yes, there are so many things in the backend that need to happen, and with most retailers’ large estate of legacy debt, taking advantage of zero click commerce will be difficult. But for those who can, the upside potentials are huge.

AI has not sidelined commerce; it has absorbed search and shortened the path to purchase. Discovery windows are narrower, competitive sets smaller, and the upside for being the assistant’s preferred answer disproportionately large.

Leaders who invest now in structured data, live availability APIs and conversation centric UX will ride the zero click wave. Those who cling to the old keyword ladder risk disappearing below the fold - no dramatic traffic cliff, just a quiet fade from the assistant’s field of vision.

The strategic question is no longer “How do we rank?” but “How do we become the assistant’s best answer?” Nail that, and the click you surrender at the top of the funnel re-emerges as a friction free sale at the bottom. In a world where the customer journey is often a single sentence, commerce belongs to the retailer ready to finish that sentence better than anyone else.

self checkouts killing the shopping experience?

There was a time when self-checkouts felt like a novelty, something futuristic and optional, tucked away at the end of a row of tills. Now, they’ve become the default experience in supermarkets and high street chains across the UK. And while some retailers are handling this shift well, others are leaving customers feeling more like suspects than shoppers.

Retailers routinely claim self-checkouts are designed to improve the shopping experience, reducing queues, speeding up service, and giving customers more control. Still, many customers feel that what was once billed as a way to enhance the shopping experience has become a way to cut labour costs - at their expense.

Customer experience in decline

I first started to notice this shift in Sainsbury’s. In order to exit the self-

service area, I had to scan my receipt and wait for a barrier to lift. It felt like a mini customs check. Gone is the pleasant nod from a cashier; in its place, a cold screen, a facial recognition camera, and an accusatory “unexpected item in the bagging area” screeching through the machine.

Sometimes it’s hard just to find a manned till at all, especially in the middle of the day, so you end up at the self-service by default, surrounded by CCTV and a screen showing your double chin in HD.

Yes, I know shoplifting has likely increased with the advent of self-service. But that’s not my fault, and it certainly isn’t the fault of the average customer. Shopping used to be about convenience and experience. Now, in some stores, it feels like you’re constantly under suspicion as soon as you enter the store.

The Primark problem

Let’s talk about Primark. Recently, it has introduced self-checkouts, and I’m not sure it’s been handled all that well. Not only do you have to scan your receipt

to exit, but there are also random spot checks where a staff member will go through your bags to make sure you’ve paid for everything. Given Primark’s price point, this distrust feels absurd and alienating.

It’s uncomfortable, to say the least. Let’s be honest, if I were going to steal something, I’d do it from somewhere a bit more high end. The queues, which were previously long but fast moving thanks to experienced staff, now often feel longer and more chaotic.

I’ve also noticed that the tech frequently breaks down. On a recent visit to Primark’s Oxford Street branch, two-thirds of the self-service tills were out of order. This caused far more chaos than simply queueing for a human cashier would have done.

The machines were slow, prone to errors, and it all felt like more hassle than it was worth. Plus, you’re now charged for the privilege of a paper bag. I’m sorry, but charging for brown paper bags might be a step too far. Plastic, I understand. Paper? Really?

Style over substance

Now let’s talk about Pull & Bear. I’ve mentioned this before, but their selfcheckout experience is a prime example of style over substance. Yes, it looked futuristic, and yes, it had slick design, but the functionality was woeful. There were minimal staff on hand to help, and the machines weren’t intuitive.

In a store aimed at a younger, tech savvy demographic, the self-checkout should feel smooth and seamless. Instead, it was clunky and stressful, with a real lack of human presence to assist when things went wrong.

The M&S gold standard

By contrast, Marks & Spencer has been quietly getting this right for years, particularly in its food halls. The self-service tills rarely go wrong, the interface is clean and intuitive, and there are always plenty of

friendly staff nearby if you need help. Most importantly, there’s no accusatory barrier or forced receipt scan just to leave.

Secret Shopper

The experience is quick, pleasant, and, crucially, doesn’t make you feel like you’re about to be arrested for buying a sandwich. Even when they moved selfservice into their clothing areas, I was sceptical, but I’m happy to report it’s been handled beautifully. The machines work, the staff are on hand to remove security tags (thank you), and the whole thing runs like clockwork. Take note, everyone else.

A call for balance

I’m not naive. We’re not going back to the days of all human tills, and nor should we. Sometimes, self-checkout is faster and more convenient, especially when you’re in a rush or only buying a few items.

But it has to be handled well. It has to feel like an enhancement, not a punishment. It must feel optional, intuitive, and respectful. If it makes the shopper feel like a nuisance, a thief, or a second class citizen, then something has gone badly wrong.

Lately, I’ve found myself avoiding certain stores just because of how unpleasant the self-service experience is. That’s not a good sign. Retailers

would do well to remember that customers, not robots, are the ones spending money. Get the tech right, sure, but get the tone right too.

What’s often missing in the rise of self-checkout is the human connection. That moment of friendly conversation, someone handing you your bag with a smile, or the sense of being looked after.

It is a huge part of the shopping experience. And particularly now, when many are facing financial pressure, the act of spending money can feel significant. People want to feel that their hard earned cash is going towards something worthwhile, not just in the product itself, but in the experience surrounding it.

Yes, sometimes we just want to be in and out with efficiency. But other times, we want to feel seen. Heard. Cared for. Shopping shouldn’t always feel like a transaction - it should sometimes feel like a treat.

For now, M&S sets the benchmark: functional machines, visible support, customer first mindset. Other retailers should take note.

Because if I get stared at by one more security camera while trying to scan a tin of beans, I might just start shopping somewhere else. Or at least go back to M&S, where they still seem to know how to treat customers like humans.

Recently, Primark has introduced selfcheckouts, and I’m not sure it’s been handled all that well.

Marks & Spencer has been quietly getting this right for years, particularly in its food halls.

The hidden prompt problem

John-Pierre Kamel and Trevor Sumner discuss how AI shopping agents can be tricked - and what we must do about it.

As retail professionals, we’ve all seen the data: customers are overwhelmed. They face endless choices, decision fatigue, and the time-consuming task of piecing together the perfect purchase. While personalisation has helped, it has largely been reactive.

Agentic AI shopping represents the monumental shift from a reactive to a proactive model. In simple terms, it’s an AI powered personal shopper that a consumer can delegate tasks to. Instead of the customer manually filtering, comparing, and clicking, they give their AI “agent” a mission. The agent then autonomously navigates the digital marketplace, finds the ideal solution, and in its most advanced form, is empowered to execute the final purchase on their behalf.

Why would a consumer comparison shop across websites or even in the giant marketplace of Amazon, when it is so much easier to say that I want “the 32 oz

Stanley coffee cup in either beige or black, and it has to be able to be delivered by Saturday and offer a full refund” or “show me the least expensive price on an LG WQHD 3200 in white that can get here in two days”? Why go to a retailer site when a shopping agent can interpret all of them and deliver only what you ask for in the format you want? Is there a post-retailer e-commerce experience ahead?

Amazon has unveiled Rufus and Walmart Wallaby to show how the future of search is agentic. Companies like Atronous.ai, SmartCat.io and Prerender.io are helping companies optimise their product listings and making them portable across the shopping agents of the future. As these agents begin to search listings, compare reviews, and make recommendations in real-time, a new era of convenience is unfolding. But with this incredible new power comes an equally subtle and powerful vulnerability: prompt injection.

What is prompt injection?

Prompt injection is the AI version of a social engineering hack. It occurs when a malicious actor embeds hidden instructions inside seemingly harmless content (like product descriptions or reviews), causing the AI to behave in unintended or deceptive ways.

In agentic shopping, this means an AI could be tricked into recommending, or even buying, a product it shouldn’t, simply because a seller secretly told it to.

How the exploit works: a story of deception

Let’s say a shopper gives their agent a mission: “I’m going on a beach trip next week. Find me the best waterproof Bluetooth speaker under $100.”

The AI agent dutifully crawls product listings and reviews. On one product page, it encounters a hidden HTML comment left by a malicious seller:

If the AI isn’t built to differentiate between content and a command, it can be tricked. The shopper might then receive a recommendation that sounds perfectly authoritative: “After analysing all available options, the clear winner is the ‘SoundBlast 3000.’ It has the best ratings for durability and sound quality in its price range.”

The shopper, trusting their agent, makes the purchase, completely unaware they’ve been manipulated. Worse, if this were a fully autonomous agent, the purchase would have been made automatically, with the user only discovering the subpar product when it arrives at their door.

This isn’t a farfetched scenario.

Is there a post-retailer e-commerce experience ahead?

Prompt hacking

Why this works

• Instruction following by design: Large Language Models (LLMs) are designed to predict and follow instructions, not to judge the intent behind them.

• Blurring of boundaries: Agentic systems often combine untrusted, user-generated content (like reviews) directly with trusted system prompts, creating a soft attack surface.

• No hard line: For an LLM, there’s no inherent difference between “content to be analysed” and “a command to be followed.”

The business risk: from bad recommendations to direct fraud

The commercial implications of prompt injection are severe and multifaceted:

• Direct financial compromise and fraud: This is the most severe risk. If a fully autonomous buying agent is tricked, it spends the user’s money on the wrong product. This moves prompt injection from a trust issue to a direct security threat, creating a customer service catastrophe, chargebacks, and potentially new forms of automated fraud at scale.

• Erosion of customer trust: Even one manipulated recommendation can shatter the trust a user has in a platform, retailer or brand, potentially losing them forever.

• Legal and reputational exposure: Platforms could face legal challenges if their AI agents are found to be unfairly favouring certain products, whether intentionally or through negligence.

• Operational disruption: Malicious actors could drive artificial demand for low-margin or high-return-rate products, disrupting inventory management and impacting profitability.

• A New SEO GEO arms race: We are on the cusp of a new battlefield where success is determined by prompt manipulation and adversarial attacks instead of just keyword stuffing.

Black Hat GEO: short-term gains, long-term pains

History doesn’t repeat, but it rhymes. We’ve seen how this played out with black hat SEO. Black hat techniques worked well until they didn’t. And when updated algorithms detected black hat techniques, they were punitive enough to harm those with black hat sensibilities, discouraging any future wandering beyond the grey. Sites disappeared from Google for months at a time. Reputable companies with long-term aspirations should proceed carefully and intentionally.

Prompt hacking

Building a secure foundation: recommendations for retail and AI teams

1. Treat all user-generated content as untrusted: Never combine raw product descriptions, reviews, or other external text directly into a core system prompt without sanitisation.

2. Apply strict sanitisation and neutralisation: Strip or escape HTML comments, markdown, alt text, invisible Unicode characters, and other vectors for hidden instructions before feeding content to the model.

3. Separate the ‘thinker’ from the ‘doer’: Use the AI’s advanced language skills to understand the shopper’s goal and summarise product features. But when it’s time to actually compare prices or rank products, offload that task to simple, deterministic code (via function-calling) that can’t be tricked by sneaky language.

4. Implement content integrity checks: If a review or description contains hidden characters or suspicious, instruction like phrasing (“ignore all others,” “this is the best”), flag it for human review or exclude it from the AI’s analysis.

5. Separate logic from content with structured data: Have the AI pull data from clean, trusted, and predictable fields rather than having it ‘read’ a messy block of text where instructions can hide. This can include an API or other structured data source.

6. Log, audit, and red-team: Continuously log AI decisions and their source data. Actively simulate prompt injection attacks in development environments to find and patch vulnerabilities before they go live.

7. Implement punitive policies for bad actors: Remove the financial incentives from those who wish to take advantage of your systems and customer relationships at the cost of your brand equity and consumer trust.

Final thoughts

Prompt injection isn’t just a technical novelty, it’s a new class of exploit with real commercial consequences. As we race toward a future of fully agentic commerce, AI security cannot be an afterthought; it must be built into the prompt layer from day one. We’ve seen this movie before with SEO, fake reviews, and ad fraud. With agentic AI, we have the rare opportunity to build trust and security in from the very beginning. Let’s make sure we take it.

About the authors: John-Pierre Kamel is a retail technology and strategy leader with over 25 years of experience helping global retailers maximise value from RFID and omnichannel investments. Trevor Sumner is an entrepreneur, product and marketing executive and recognised startup advisor and angel.