Demand forecasting, replenishment agents and the planner console, live in 14 weeks across 200+ stores.
across 200+ stores, year over year
from kickoff to live in their cloud
improvement across every category
in production since Q1 2025
A regional retail leader with 200+ stores, running replenishment on spreadsheets and gut feel.
Three previous AI pilots had stalled in the lab. Nothing had survived contact with real operations.
Demand forecasting, replenishment agents and the web console planners actually use, deployed into their cloud.
Live in 14 weeks. Forecast accuracy up across every category, stock-outs down group-wide.
The forecast only matters if a planner acts on it. So the console was built alongside the models, not after them.
Store- and category-level forecasts that learn from every week of sales.
Custom ML →Agents that turn forecasts into proposed orders, with planners approving the exceptions.
Agentic AI →The web console planners open every day to review, adjust and release orders.
Web & enterprise apps →Tell us what stalled. A senior member of the team replies within one business day.
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