AI-Powered Supply Chain Analytics

Match inventory to demand before operations fall behind.

PathAnalytics connects inventory, ecommerce orders, store sales, listings, fulfillment, shipping, returns, and service outcomes into one AI-powered supply chain analytics view.

Reduce overstock, prevent stockouts, identify fulfillment risk, learn from delivery and return issues, and route attention to the inventory and orders that need action.

Inventory moving from warehouse to fulfillment to delivery under PathAnalytics.
Inventory Decisions

Put the right inventory where demand is forming.

Designed for retailers and ecommerce sellers balancing stock, demand, service levels, and channel pressure.

Inventory-to-Demand Matching

Match inventory by SKU, store, channel, location, category, age, and demand signal to find where it can sell.

Stockout and Overstock Forecasts

Forecast inventory risk before stores or channels miss demand, tie up cash, or require avoidable markdowns.

Markdown and Repricing Signals

Use demand, age, channel conversion, margin, and inventory position to decide when price actions are needed.

Fulfillment Exception Monitoring

Track missing shipments, delayed deliveries, undelivered packages, order exceptions, SLA risk, labor bottlenecks, and channel-specific fulfillment pressure.

Delivery, Returns, and Satisfaction Feedback

Close the loop with delivery outcomes, return reasons, refunds, service exceptions, customer satisfaction signals, and downstream inventory feedback.

Ask Inventory Questions

Ask where stock is aging, which SKUs risk stockout, where fulfillment is slipping, which return reasons are rising, and what inventory should move next.

What data powers AI-powered supply chain analytics?Inventory, SKU, store, channel, demand, orders, fulfillment, shipping, delivery exceptions, returns, refunds, and customer feedback.
How does it improve inventory movement?PathAnalytics compares demand, inventory age, channel pressure, stockout risk, overstock risk, and fulfillment outcomes to recommend the next operational action.
How does AI stay grounded?Click Analyze on any inventory metric to see the explained root cause, and set a stockout or overstock target to get a tracked plan of the actions needed to hit it — all using governed retail metrics instead of raw, disconnected operational data.
Fulfillment Execution

Connect planning signals to operational follow-through.

Inventory and fulfillment decisions improve when teams can see demand, orders, exceptions, missing shipments, delayed deliveries, return reasons, service pressure, and customer feedback in the same context.

PathAnalytics helps operations teams focus on where action protects revenue, margin, and customer experience.

Prioritize inventory movementUse channel-wise and store-wise demand to prioritize where inventory should move next for maximum sell-through and faster inventory velocity.
Catch fulfillment riskSurface missing shipments, delayed deliveries, undelivered orders, exceptions, and service-level pressure before they compound customer dissatisfaction.
Close the returns loopUse delivery failures, return reasons, refunds, and support issues to improve channel promises, inventory placement, and demand planning.
How It Works

From inventory signal to executed move.

PathAnalytics does not stop at a forecast. It connects your inventory and orders, finds the risk, recommends the fix, and tracks whether it worked.

Inventory Teams

Move inventory with demand, not guesswork.

See how PathAnalytics helps teams forecast inventory risk, improve fulfillment visibility, close return and delivery feedback loops, and match stock to demand.