AI-Adjusted Demand Projections for Daily Purchase Decisions

## The problem

Procurement teams in food distribution open the same projection screen every morning — a rolling four-week average that gets distorted by school cycles, seasonal spikes, and one-time events. Buyers eyeball each product, judge whether the forecast is trustworthy that day, and calculate order quantities by hand to cover demand through the next delivery window. Stockouts and over-buys are baked into the workflow.## What this app doesA daily purchasing workspace that does the math and the judgment. AI scans historical sales for recurring seasonality and one-time spikes and adjusts the projected daily sales used in each item's inventory trajectory. Buyers open an exception list of products forecast to go negative before the next delivery, drill into a daily on-hand-plus-PO trajectory, see why the AI adjusted demand, and accept or override a recommended order quantity.## Key takeaways- Anomaly-aware demand signal, not a flat rolling average- Exception list replaces scrolling the full catalog- Recommended order quantity per item — buyers validate, not calculate- Transparent AI notes show why the forecast was adjusted## Who it's forProcurement and category buyers at multi-location food and beverage distributors making daily purchase decisions.