Demand forecasting, automated reorder points, and computer-vision stock counts — Fixyee predicts what you’ll need before a shortage ever hits the shop floor.
Spreadsheets and gut-feel reorder points catch problems after a technician is already waiting on a part. Fixyee closes that gap — with AI demand forecasting, automated reorder points, and computer-vision stock counts across every warehouse and bin.
Consumption history, seasonality, and job schedules are modeled continuously to predict what each part will need next.
Purchase orders are generated automatically the moment a SKU crosses its predicted reorder threshold — no spreadsheets required.
Shelf and bin images are scanned automatically to verify counts, catching discrepancies without a manual cycle count.
Stock levels across every site, bin, and vehicle stock unit are visible from a single, real-time dashboard.
From demand forecasting to automated reordering to computer-vision counts, Fixyee covers the full lifecycle of AI-powered inventory management.
Fixyee models consumption history, seasonality, and scheduled job demand continuously — giving every SKU a live, self-updating forecast instead of a static reorder point.
The moment a SKU is predicted to cross its reorder threshold, Fixyee generates a purchase order automatically and routes it to the preferred vendor — no manual tracking required.
Shelf and bin images are scanned automatically to detect quantities and catch discrepancies — flagging mismatches between system counts and physical stock in real time.
Every part is tracked back to the job, vehicle, or technician that consumed it — surfacing slow-moving stock, overstock risk, and true cost-per-repair automatically.
A streamlined workflow built around how warehouse managers, parts coordinators, and procurement teams actually run inventory.
Every part, bin, and warehouse is connected to Fixyee, giving a live, unified view of stock across every site.
AI models consumption history, seasonality, and job schedules to predict what each part will need next.
Purchase orders are generated automatically the moment predicted demand crosses a SKU’s reorder threshold.
Computer-vision counts confirm stock on the shelf, and spend analytics are ready for procurement and finance.
From single-warehouse parts bins to multi-site consumables tracking — Fixyee adapts to any inventory program.
Track every part against the vehicles and jobs it’s assigned to, with automatic reorder before a technician is stuck waiting.
Filters, fluids, and shop consumables tracked with the same forecasting and reorder automation as major parts.
See stock across every site and bin from one dashboard, with transfers suggested automatically to balance demand.
We used to find out a part was out of stock when a technician walked up to the counter mid-repair. Since deploying Fixyee, reorders happen automatically before we ever run dry, cycle counts that used to take a full shift now take minutes, and our stockout incidents have dropped by almost a third.
Practical guides on demand forecasting, reorder automation, and cutting stockouts across fleet and asset operations.
Reordering
Static reorder points fall apart the moment demand shifts. Here’s how dynamic thresholds keep parts in stock without overbuying.
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Stock Counts
What computer-vision stock verification actually catches — and why it cuts a full-shift cycle count down to minutes.
Read article
Analytics
Slow-moving stock and overstock quietly inflate repair costs. Here’s how to trace parts spend back to the real driver.
Read articleSee how Fixyee’s AI predicts demand, automates reordering, and verifies stock across sites of any size.
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