7 Powerful Ways to Use Artificial Intelligence in Ecommerce

7 Powerful Ways to Use Artificial Intelligence in Ecommerce If you haven’t dug deep into the underground for the past few years, you’ve probably heard of Artificial Intelligence (AI). Simply how can we use artificial intelligence in e-commerce? In this article, we will share the powerful and practical ways that retail businesses use AI in the world of online shopping.

AI is beginning to embed itself in all aspects of our lives. From the number of self-checkout cash registers to advanced security checks at the airport; Artificial intelligence is everywhere.

1. Create a customer-centric search

Amir Konigsberg's current signal is Twiggle, a business that allows e-commerce search engines to think about how humans think. Watch recent interviews with Amir and he will tell you that customers often give up on e-commerce experiences because the product results displayed are often irrelevant. To address this issue, Twiggle uses natural language processing to narrow down, contextualize and ultimately improve search results for online shoppers.

Another business that is trying to improve e-commerce search is US-based Tech Start-Up Clarifying. Clarifies initial work focused on the visual aspects of search and, as their website states, their software is artificial intelligence. They enable developers to create world-class mobile smart apps just like those that empower businesses to develop a customer-centric experience through advanced image and video recognition.

2. Retarget potential customers

According to Conversica, at least 33% of marketing leads are not followed by the sales team. This means that pre-qualified potential buyers interested in your product or service will fall into the inevitable cracks. Furthermore, most businesses are overloaded with unmanaged customer data, which they do little or nothing about. This is an incredible goldmine of intelligence that can be used to accelerate the sales cycle.

For example, if we take a deeper look at the retail industry, facial recognition is already being used to capture shoplifters by scanning their faces on CCTV cameras.

3. Provide personal touch with chatbots

The whirlwind of technological advances has altered consumer expectations, and commerce is now focused on building experiences for the individual, not the mass market. For consumers, there are a lot of touchpoints and effects that generate purchases.

Many e-commerce retailers are already becoming more sophisticated with their AI capabilities in attracting attention, and one of the most emerging approaches is conversational commerce. In the world of e-commerce, it is a confluence of visual, vocal, written and predictive capabilities. Consumer needs are growing rapidly as retailers struggle. If brands want to survive, this is one of the priority business strategies that must be implemented. One of the ways chatbots use artificial intelligence is through the app to navigate the conversation in this next era of conversation trading.

4. Empower store workers

Although online retailers have experimented with chatbots, there has been some consideration as to how they reflect the usefulness of the store. Home Improvement Store Lowe is a good example of such an implementation. Lowe's first autonomous robot was introduced in late 2014 as the Lowerbot. The tall shopping assistant greets customers at the door, guides them around the store, sources relevant product information, and assists employees with inventory management. This helps Lowe free up their experienced store workers to engage in more meaningful interactions with customers.

5. Improve recommendations for customers

Using AI, brands can more accurately and efficiently scan petabytes of data to predict customer behavior and provide relevant and helpful recommendations to individual consumers. This level of intelligence is vital in providing a personalized shopping experience to the customer.

Starbucks is heavily involved in the process, analyzing all the data that AI collects on its users and offering more personalized advice. For example, Starbucks recently launched My Starbucks Barista, which uses AI to give customers orders with voice commands or messages.

6. Introduce virtual personal shoppers

We discussed the concept of Virtual Assistants in , but AI allows brands to create a number of shoppers that are intentionally built to help their customers online.

There are many perks of store-shopping that brands and consumers love. For example, it is possible to engage in a direct conversation with a customer shop assistant. They can ask a customer about a particular item of a certain color or size. These incentives are limited online as customers have to go through a time consuming (and sometimes frustrating) process of ticking boxes or entering keywords. With this in mind, e-commerce is an innovative new way.