AI & Data use cases: Retail & Distribution
In the Retail & Distribution category, we cover 3 outcome-driven use cases. Most deliver visible impact within 6+ months, with an average complexity of 3/5 and ROI around 5/5. These cases are designed for organizations starting at 500+ (Mid-market), with concrete deliverables that speed up decision-making. Each case explains the problem, the trajectory, and the tangible outputs.
Category summary
Number of cases
3
Average horizon
6+ months
Average complexity
3/5
Recommended size
500+ (Mid-market)
Use cases
Retail & Distribution
Product recommendation engine
Recommend relevant products (cross-sell, up-sell) based on behavior and profile.
+15% basket size increase
View case →Retail & Distribution
Dynamic pricing
Adjust prices in real time based on demand, competition, inventory, and elasticity.
+3% margin uplift
View case →Retail & Distribution
Store assortment optimization
Adapt each store’s assortment to its catchment area using sales and socio-demographic data.
-20% markdown reduction
View case →