INVENTORY INTELLIGENCE AGENT
Forecasts demand across every SKU. Flags dead inventory before it rots. Recommends reorder points and quantities. Runs price elasticity analysis on your entire catalog. Grades its own forecasts with MAPE and gets smarter every month.
Your warehouse has $40K of parts that haven't moved in 18 months. Also parts you stocked out on three times this month, costing you 280 sales. Your inventory manager can't stare at 40,000 SKUs every day. So you overstock the wrong stuff and understock the right stuff — bleeding margin at both ends.
Inventory carrying cost runs 25-30% annually. Dead stock on 10% of your SKUs at a $3M shop represents $75K-$120K of capital tied up in parts nobody wants. Meanwhile stockouts on fast-movers push customers to your competitors — and they often don't come back.
The pricing side is worse. Most shops have 300-500 SKUs they're underpricing relative to demand elasticity, leaving $30K-$80K of margin on the table every year. Nobody in your shop has time to figure out which ones. So the money stays on the table.
Annual cost of holding inventory (capital + warehouse + obsolescence + insurance).
Dead stock typically present at a $1M-$5M shop at any moment.
Annual margin lost to underpriced SKUs where demand was inelastic.
Uses your historical order data to forecast next-30-day demand for every part at every branch. Seasonal patterns, trend shifts, and one-off spikes handled separately.
Flags slow-moving SKUs 90 days before they cross your "dead" threshold. Your buyer can act before the capital is trapped.
Reorder points and quantities tailored to lead times, service-level targets, and demand variability. Not rules of thumb.
Identifies SKUs you're underpricing (demand is inelastic, raise price) and SKUs you're overpricing (killing demand, drop it). Dollars identified in annualized terms.
Mean Absolute Percentage Error tracked on every forecast. Underperforming models retrained automatically. The agent gets smarter every month.
Not a data science notebook. A clean page showing this week's reorder list, this week's dead-stock alerts, and this week's pricing opportunities. Your buyer reads it over coffee.
Representative of real customer outcomes. Specific customer data confidential.
The Inventory Agent uses the same ERP connection as the Counter Agent. Every quote, sale, and stock movement flows into its forecasting engine. The Vendor Agent picks up reorder recommendations and converts them to RFQs. The data loop closes by itself.
Typical deployment order: Counter Agent first, Inventory Agent 30-60 days later once the data pipe is warm and the forecasting engine has enough history to calibrate against your shop's reality.
Get your AI agent live without a card. Prefer white-glove setup for a multi-store group or ERP integration? Book a call instead.