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Autonomous Agent

Inventory Agent — Autonomous Operations AI

An autonomous AI agent that continuously balances stock levels across nodes — sensing demand signals, triggering replenishment, and re-allocating inventory before shortages or overstock occur.

The Problem It Solves

Planners react to stockouts after they happen. Safety stock is set once a year and never re-calibrated. Excess inventory silently ties up working capital while other SKUs run dry.

Safety stock set annually — not recalibrated to actual volatility
Replenishment triggers rely on static min-max rules
Inter-warehouse re-allocation done manually, if at all
25–40%
Of inventory is excess or slow-moving

How It Works

See the full workflow on Digital Workforce → Workflows

Step 1

Sense

Reads live demand signals, POS data, and open orders.

Step 2

Score

Calculates optimal safety stock per SKU per node using ML forecast.

Step 3

Act

Triggers replenishment PO or inter-warehouse transfer within policy.

Step 4

Report

Surfaces stockout risk and overstock alerts to planner dashboard.

Capabilities

Dynamic safety stock recalculation per SKU
Demand-sensing from POS, orders, and external signals
Replenishment PO triggering within approved thresholds
Inter-warehouse transfer optimisation
Slow-mover identification and markdown triggers
Inventory health scoring across all nodes

Data Sources

WMS / ERP inventory positions
POS and demand signals
Open sales orders and forecasts
Supplier lead time database
Seasonal and event calendars

Output

Replenishment PO recommendations (auto or approved)
Safety stock targets by SKU
Overstock and stockout risk alerts
Inter-warehouse transfer plans
Weekly inventory health report

Business Impact

Safety stock reduction–35%
Stockout frequency–45%
Forecast accuracy improvement+23%
Inventory carrying cost reduction–20%

Ready to deploy the Inventory Agent?

Start with an AI readiness assessment — no commitment, just clarity.

Schedule Assessment