Enterprise AI Platform Powering Smart Carts and Fulfilment for a Grocery Cooperative
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Problem
Fragmented AI vendor stack
A 55-store regional grocery cooperative had accumulated separate vendors for smart-cart checkout, online order picking and substitution suggestions. Each system held its own copy of product and inventory data, every new integration was a bespoke months-long project, and no one had a shared view of model behaviour, data access or spend across the estate.
Solution
One shared AI platform
We architected and built a unified enterprise AI platform for the cooperative: a shared product and inventory feature store, a common model-serving and monitoring layer, and standard integration APIs that the smart-cart, picking and substitution systems all consume. Central dashboards track model performance and data access, giving the cooperative one governed foundation instead of three vendor silos.
Measurable Impact
What changed after launch
Integration time for a new AI use case cut from roughly 4 months to 5 weeks
Substitution acceptance rose from 68% to 81% once suggestions used shared live inventory features
Duplicate data-pipeline and vendor-integration spend reduced by roughly 30% year on year
All 55 stores running on the shared platform within 8 months
Tech & Tools Used
What powered the build
Ready to Build your Retail & E-Commerce Business with Enterprise AI Platforms
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