Fordel StudiosE-commerce Inventory Manager
Stop losing revenue to stockouts. Stop tying up capital in overstock.
The problem
being solved
A mid-size e-commerce operation selling 2,000+ SKUs across Shopify, Amazon, and wholesale manages inventory with spreadsheets and static reorder points. During Q4, they overstock slow movers and run out of bestsellers. Stockouts cost an estimated 8-12% of potential revenue; excess inventory ties up working capital.
Multi-channel selling compounds the problem: inventory allocated to Amazon FBA cannot easily be redirected to DTC orders. Promotional campaigns create demand spikes that static reorder points cannot anticipate. Returns from one channel affect availability on another.
Blue Yonder applies ML-based planning at enterprise scale, reporting 20% inventory cost reduction. Flieber and Inventory Planner have shown demand forecasting reduces stockouts for Shopify merchants. The gap is bringing these capabilities to mid-market merchants without supply chain planning teams.
How this
agent works
This agent ingests historical sales data, current inventory, purchase orders, and channel-level metrics. It builds per-SKU demand forecasting models using gradient-boosted time-series methods accounting for seasonality, promotional calendars, day-of-week patterns, and trend shifts. Forecasts update daily.
Based on forecasts, it calculates optimal reorder points and quantities per SKU per warehouse, factoring in supplier lead times, minimum order quantities, and carrying costs. When a reorder trigger fires, it generates a PO draft for approval or auto-submits to pre-approved suppliers.
For multi-channel allocation, it monitors inventory across Shopify, Amazon Seller Central, and wholesale in real time. When a fast-mover trends toward stockout on one channel, it recommends inter-warehouse transfers before impact.
A senior engineer connects your sales channels (Shopify, Amazon SP-API), WMS, and supplier portals in a 2–3 week setup. Demand models use LightGBM and Prophet trained on 12+ months of your sales history, capturing seasonality, promotions, and trend shifts per SKU. Celery workers run daily retraining and reorder calculations; results are served via a FastAPI backend with Redis caching for sub-100ms reads. PO generation triggers are fully configurable — auto-submit to approved suppliers or route through your approval workflow.
- 01
Per-SKU Demand Forecasting
Gradient-boosted models trained on your actual sales history, not industry averages. Accounts for day-of-week patterns, promotional lifts, and trend shifts — and retrains daily so the forecast reflects recent demand signals, not last quarter's data.
- 02
Dynamic Reorder Optimization
Calculates optimal reorder points per SKU per warehouse, factoring in supplier lead times, minimum order quantities, carrying costs, and forecast confidence intervals. Safety stock adjusts automatically when forecast uncertainty rises — no manual fiddling with spreadsheet formulas.
- 03
Multi-Channel Inventory Sync
Real-time inventory monitoring across Shopify, Amazon Seller Central, and wholesale channels via direct API polling. Detects allocation imbalances before they cause stockouts and recommends inter-warehouse transfers when one location is oversupplied and another is running low.
- 04
Automated PO Generation
When reorder triggers fire, the agent drafts purchase orders with correct quantities, supplier SKUs, and delivery windows — pulled from your supplier master data. Pre-approved suppliers get auto-submitted orders; new or high-value orders route to your team for review.
Build this agent
for your workflow.
We custom-build each agent to fit your data, your rules, and your existing systems.
Free 30-min scoping call