Using Connected Intelligence framework linking Key Business Ques�ons for Insights
Price elas�city and its impact on sales
Op�mal alloca�on of spends and budget Inventory planning to have op�mum stock level by loca�on
Capacity constrain monitoring and planning
Logis�cs Op�miza�on and scheduling
Con�nuous metrics monitoring
What-if Analysis, understand impact of compe�tor’s plan
Business planning
Intelligent product manufacturing cycle based on demand forecast
Collec�ng informa�on from various siloed teams
Op�mize promo�ons, por�olio, and Inventory
Assess shi�ing demand trends across channels and prescribe ac�ons
Adapt to capture poten�al change in vendor cost
Out of Stock
Reduce Markdown, Damages, Returns
Manage disappearances and Inventory accuracy
Predic�ng poten�al waste
�me anomaly
detec�on Damage propensity
View into pa�erns that drive Waste
Top drivers – planning, shipments, Physical count, Invoice accuracy
Ageing Inventory Management, changeover management Produc�on waste –process, �me and material
Improve near term forecast accuracy based on short term market events
Promo�onal demand assessment and impact of strategy change
Product lifecycle management
Differen�ated replenishment programs
Analyze external factors e.g. Economy, weather, demographics
Pricing and Promo�ons by segments
Changes in product Mix and assortment plan
Proac�ve stocking of product shelves to ensure launch success
Op�mum replenishment planning to have right inventory for promo
Forecast valida�on and review
Ra�ngs/ Reviews based product characteris�cs
Sales cannibaliza�on analy�cs
Review capacity plan
unexpected order surge/ drop management
Tailor service agreements and policies to improve profitability
Supplier segments and reliability analysis
Freight op�miza�on based on segmented logis�cs planning
Customer priority se�ng for fulfillment, order alloca�on and order promising
Cost to serve analysis
define tailored supply chain strategies to maximize customer value proposi�on
Alloca�on of ATP by customer priority
Address penal�es –overstocking/order delays
Improve on �me delivery by genera�ng reliable quote
Inventory re-balancing based on demand/ supply change
Op�mize last mile delivery/logis�cs
▪ Order Priority - 348 SKU's were priori�zed for delivery to other channels. Check with delivery loca�on on possible root causes.
▪ Order Pa�ern - Unexpected order surge observed across 223 SKU's compared to regular pa�ern. It suggests higher inventory requirement and forecast adjustment.
▪ Order vs Forecast - Higher forecast error observed across 268 SKU's. Check system forecast and adjust according to order velocity.
▪ Others - Out of the orders received, 14 SKU's are discon�nued, 8 SKU's are not in assortment, 44 SKU's have incorrect case pack.
