End Inventory Chaos
$800K in slow-movers while hot sellers stock out. AI predicts demand, automates reorders—right stock, right time.
Inventory Management
$800K tied up in slow-moving stock while hot sellers run out. Stockouts lose sales, rush shipping kills margins.
Ordering by gut feeling. Demand shifts, lead times change, inventory chaos.
Capital tied up in excess
Stockouts lose sales
No visibility on reordering
Guesswork, not data
Autopilot Inventory
AI forecasting and auto-reordering
Forecast Demand
Predict what you need and when based on patterns, seasonality.
Reorder Automatically
Set rules once. System generates optimal purchase orders.
Balance Multi-Location
Allocate stock across warehouses based on demand patterns.
How It Works
Three steps
Connect Data
Integrate WMS, ERP, or e-commerce. Works with current systems.
AI Learns
Algorithms learn demand patterns, lead times to predict stock levels.
Auto-Optimize
System places orders based on your rules.
Questions
Common questions
Will this help my warehouse?
If you manage 100+ SKUs and waste hours every week figuring out what to order, yes. Whether you're drowning in dead stock or constantly scrambling for rush shipments, this fixes it.
Do I need to replace my WMS?
No. We sit on top of whatever you're using now. SAP, Oracle, NetSuite, even Excel—we'll work with your data where it lives. CSV or API, your choice.
How is this different from my ERP's inventory module?
Your ERP tracks what you have. We tell you what you need and when. Forecasting algorithms actually predict demand patterns and calculate optimal order quantities. No more guessing.
When can I get this?
We're in beta now. Join the waitlist to get notified at launch—early pricing for people who sign up before we go live.
Stop Guessing Stock Levels
Get notified at launch. Early pricing for waitlist subscribers.
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Results from Distribution
Inventory management across supply chains
Challenge
Forecast Guesswork
2,000 SKUs. $800K in slow-movers while fast sellers stocked out.
Solution
Demand Prediction
Analyzes sales, seasonality, trends to predict demand per SKU.
Expected Results
- 35% less inventory value
- 92% in-stock (was 76%)
- 89% forecast accuracy (was 58%)
Challenge
Manual Reordering
20 hours/week on orders. Too early ties capital, too late causes stockouts.
Solution
Auto-Reorder
Calculates order quantities, timing by lead times, carrying costs, demand.
Expected Results
- Ordering: 2 hours/week (was 20)
- $280K saved annually
- Zero emergency freight
Challenge
Location Imbalance
5 warehouses. Stockouts at one, same items unused at another.
Solution
Stock Allocation
Allocates by regional demand, suggests inter-warehouse transfers.
Expected Results
- Transfers: 40% fewer
- 98% fulfillment from optimal location
- Satisfaction: +31%