Fixyee Solution

AI Stock Inventory, Predicted Before It Runs Out

Demand forecasting, automated reorder points, and computer-vision stock counts — Fixyee predicts what you’ll need before a shortage ever hits the shop floor.

94% Demand Forecast Accuracy
32% Fewer Stockout Incidents
21% Lower Carrying Cost
STOCK & DEMAND 7-Day Demand Forecast Brake Pad Set — SKU 2214 6 units left · reorder in 3 days REORDER Oil Filters — SKU 1187 142 in stock Coolant, 5L — SKU 3390 58 in stock 94% Forecast Accuracy Across all tracked SKUs
Auto-Reorder Triggered Brake Pad Set — PO sent to preferred vendor
AI-Powered Predictive Reorder
Works with the parts & procurement systems you already use
SAP NETSUITE QUICKBOOKS ORACLE ODOO ZOHO
Built for parts & warehouse teams

A stockout doesn’t warn you
before it happens

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.

Fixyee — Inventory Overview
SKUs Tracked 2,148
At Reorder Point 17
Forecast Accuracy 94%
Oil Filter OF-110 Reorder Now
Brake Pads BP-200 8 Left
Spark Plug SP-880 6 Left
Air Filter AF-4421 PO Sent

AI Demand Forecasting

Consumption history, seasonality, and job schedules are modeled continuously to predict what each part will need next.

Automated Reorder Points

Purchase orders are generated automatically the moment a SKU crosses its predicted reorder threshold — no spreadsheets required.

Computer-Vision Stock Counts

Shelf and bin images are scanned automatically to verify counts, catching discrepancies without a manual cycle count.

Multi-Warehouse Visibility

Stock levels across every site, bin, and vehicle stock unit are visible from a single, real-time dashboard.

Inside the platform

One system, every part
you’re responsible for stocking

From demand forecasting to automated reordering to computer-vision counts, Fixyee covers the full lifecycle of AI-powered inventory management.

Demand Forecast — Oil Filter OF-110
Predicted reorder Jul 14 · 40 units
Actual usage Forecasted demand

Know What You’ll Need Before You Need It

Fixyee models consumption history, seasonality, and scheduled job demand continuously — giving every SKU a live, self-updating forecast instead of a static reorder point.

Consumption trends modeled per SKU and per site
Seasonal and job-schedule demand built into the forecast
94% average forecast accuracy across tracked parts
Purchase Orders — Auto-Generated
PO-4471 · Brake Pads BP-200 (40 units) Sent to Vendor
PO-4472 · Spark Plug SP-880 (120 units) Awaiting Approval
PO-4470 · Oil Filter OF-110 (60 units) Sent to Vendor
Auto-Approval Threshold $500
POs This Month 31

Purchase Orders That Write Themselves

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.

Dynamic reorder points that adjust with demand
Auto-generated POs routed to the preferred vendor
Approval workflows for spend above set thresholds
Cycle Count — Bin A-14
System: 24 · Counted: 24 Match
System: 18 · Counted: 15 Discrepancy

Verify Counts Without a Manual Cycle Count

Shelf and bin images are scanned automatically to detect quantities and catch discrepancies — flagging mismatches between system counts and physical stock in real time.

Bin and shelf images scanned to verify quantities
System vs. physical count discrepancies flagged instantly
Cycle counts completed in minutes, not a full shutdown
Parts Spend — This Quarter
Total Parts Spend $41,280
Avg Cost / Repair $96
Brakes Filters Fluids Tires Engine Electrical

See Exactly What’s Driving Your Parts Spend

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.

Slow-moving and overstock parts surfaced automatically
Parts usage tracked back to job, vehicle, and technician
Fleet-wide parts spend dashboard, updated live
94% Demand Forecast Accuracy
32% Fewer Stockout Incidents
21% Lower Inventory Carrying Cost
24/7 Real-Time Stock Visibility
How it works

From demand signal to
parts on the shelf

A streamlined workflow built around how warehouse managers, parts coordinators, and procurement teams actually run inventory.

1

Track Every SKU

Every part, bin, and warehouse is connected to Fixyee, giving a live, unified view of stock across every site.

2

Forecast Demand

AI models consumption history, seasonality, and job schedules to predict what each part will need next.

3

Auto-Reorder

Purchase orders are generated automatically the moment predicted demand crosses a SKU’s reorder threshold.

4

Verify & Report

Computer-vision counts confirm stock on the shelf, and spend analytics are ready for procurement and finance.

Built for every stock program
you’re responsible for

From single-warehouse parts bins to multi-site consumables tracking — Fixyee adapts to any inventory program.

Boxes stacked on warehouse shelves representing spare parts inventory

Spare Parts Inventory

Track every part against the vehicles and jobs it’s assigned to, with automatic reorder before a technician is stuck waiting.

Organized warehouse shelves used for consumables and supplies tracking

Consumables & Supplies

Filters, fluids, and shop consumables tracked with the same forecasting and reorder automation as major parts.

Aerial view of a large distribution warehouse representing multi-warehouse stock visibility

Multi-Warehouse Visibility

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.

Parts and warehouse operations manager
Parts & Warehouse Operations Manager Multi-Site Fleet Maintenance Operator
From the blog

Inventory & parts management,
explained

Practical guides on demand forecasting, reorder automation, and cutting stockouts across fleet and asset operations.

View all articles
Common questions

AI Stock Inventory FAQs

Fixyee analyzes historical consumption, seasonal patterns, and scheduled maintenance jobs for each SKU to build a continuously-updating demand forecast, rather than relying on a fixed reorder quantity that goes stale over time.
Both options are supported. You can allow fully automatic PO generation below a set spend threshold, and require manager approval for anything above it — the workflow is configurable per category or vendor.
Shelf and bin images are analyzed to detect quantities per SKU, with discrepancies against system counts flagged for a quick human check — cutting a full manual cycle count down to a fraction of the time.
Yes. Stock levels across every warehouse, bin, and vehicle stock unit are visible from one dashboard, and Fixyee can suggest inter-site transfers automatically when demand is unbalanced.

Ready to stop guessing what’s in stock?

See how Fixyee’s AI predicts demand, automates reordering, and verifies stock across sites of any size.