AI that puts the right product in front of the right customer at the right moment.
Inventory intelligence, search, in-store copilots.
Retail AI has to navigate the tension between margin optimization and customer experience. The recommendation that moves inventory isn't always the recommendation that builds loyalty. We've built retail AI systems that optimize for both — and instrument them to show the trade-off clearly.
Use cases
SKU-level demand forecasts incorporating seasonality, local events, promotions, and competitor pricing — reducing both stockouts and excess inventory.
Associate-facing AI that surfaces product knowledge, inventory location, and recommendation suggestions for customer conversations.
Dynamic pricing models that optimize margin and velocity across the product lifecycle — from initial pricing to markdown timing.
CLV prediction that drives smarter acquisition spend, retention investment, and loyalty program design.
Image-based product search that lets shoppers find 'this style' without knowing the category name — reducing search abandonment.
AI-driven assortment planning that identifies SKU gaps, redundancies, and localization opportunities across your store network.
Why Evolve Edge
Margin-aware recommendations Recommendation systems that account for margin, inventory velocity, and supplier relationships — not just click-through rate.
Omnichannel coherence AI that sees across your in-store, online, and mobile channels — so product intelligence and customer context aren't siloed by channel.
Inventory-AI integration Recommendations and search rankings that are inventory-aware — suppressing out-of-stock items and surfacing overstock with precision.
Client perspective
“Inventory carrying cost down 23%, stockout rate down 31%. The demand forecast changed how we buy — and the margin improvement shows on every P&L.”
FAQ
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