MOTW.
The project
MOTW Coffee and Pastries needed inventory that runs itself. We built an AI platform that analyzes the last 30 days of sales to recommend the right minimum order quantity (MOQ) for every item, predicts stockouts before they happen, and sends automated alerts when it's time to reorder — turning gut-feel ordering into data-driven decisions.
Year
Industry
Scope of work
Timeline
The challenge & solution
Coffee and pastry shops lose money twice on inventory: expired perishables thrown away, and stockouts on high-margin best-sellers. Manual par-counts and gut-feel orders couldn't keep up with weekend rushes and shifting seasonal demand. MOTW Coffee and Pastries needed a system that watches sales continuously and calculates exactly what to order, and when.
We built an AI engine that learns each item's sales velocity, supplier lead times, and day-of-week trends to auto-calculate MOQs, forecast 7-day stockouts, and push smart reorder alerts — with one-click "Apply" and a full audit trail for every AI decision.
Results
87
Stock health score within the first month of AI monitoring
3
Stockouts predicted and prevented in the first 7 days
31%
Cold brew demand spike caught early, MOQ auto-adjusted
Final thoughts
MOTW Coffee and Pastries now runs inventory as a background process. The AI watches sales, flags risks, and drafts the order — staff simply review and apply. Less waste, fewer stockouts, more time for coffee.
For Matrix Web Digital, this project is proof that AI automation doesn't need to be complex to pay for itself — just the right data and a clear decision point.
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