Reorder points and safety stock had never been generic numbers for this team, they were shaped by specific supplier lead times, seasonal demand swings, and how much risk the company was willing to carry on any given product line. The problem wasn't a lack of data; it was that no single view pulled all of it together against thresholds that were actually theirs, so planners either got buried in alerts that didn't matter or missed the one that did.
We connected to the customer's existing inventory and supplier systems and applied their own reorder logic, the thresholds, lead times, and risk tolerances specific to each product line, rather than a generic inventory-management default. We started with one product category, backtested against the company's own historical stock and order data before any alert was allowed to reach a planner.
Alerts stopped being something to double-check against a spreadsheet before acting on, and started being something a planner could act on directly, because each one carried the specific rule and data behind it.
Industry: Food & Beverage Manufacturing
Cloud Platform: Azure
Use Case: Inventory & Supply-Risk Monitoring
This is exactly the shape of workflow we scope as a first pilot - one product category, backtested against your own historical stock and order data before any alert is trusted.
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