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Cauzzy AI agent · Operational AIAvailable

Inventory & Demand Agent. It sees the stockout before you do.

An operational AI agent running against live NetSuite data. It balances stock across locations, forecasts demand by SKU, flags the items drifting toward a stockout or an overstock, and recommends the purchase or transfer, with the reasoning attached. Not a dashboard you check. An agent that tells you.

What it watches

Six signals, checked continuously.

Stockout risk by SKU and location

Days of cover against forecast demand and vendor lead time, so the alert lands while there is still time to buy.

Overstock and dead stock

Items with months of cover and no movement, with the carrying cost and a transfer or markdown suggestion.

Cross-location balancing

A yard that is short while another is long gets a recommended transfer before a PO is cut.

Demand forecast

Seasonality, trend and customer reorder patterns by SKU, refreshed as orders land. Explains what changed since last week.

Purchase recommendations

Suggested quantity, vendor and timing, ready to become a native purchase order with one approval.

Exceptions, not noise

Thresholds tuned to your business so the daily digest is a short list the buyer actually reads.

How an agent differs from a report

Proactive, explained, actionable.

Runs on its ownMonitors live data continuously instead of waiting for someone to open a saved search.
Shows its reasoningEvery recommendation carries the numbers behind it, so a buyer can agree, adjust or ignore with confidence.
Acts with approvalDrafts the PO or transfer in NetSuite; a human approves. Nothing posts on its own unless you choose that.
Starts smallOne high-value use case first, measured, then the next. No transformation project.
Deployment

Deployed by the team that knows your NetSuite.

  1. AI readiness and data checkWe confirm item data, locations and lead times are clean enough to trust before any agent runs.
  2. Connect and tuneCauzzy connects to NetSuite through supported APIs; Snapshot sets thresholds, lead-time rules and who gets which digest.
  3. Measure, then extendStockouts avoided and inventory dollars freed are tracked from day one; the Order & Fulfillment Monitor is the natural second agent.

Point the agent at last season's data.

We'll run it against your history and show you the stockouts it would have called, and when.