See committed inventory
Bring category targets, inventory position, margin plans, and available production or purchasing commitments together.
Supply Chain Analytics Platform
Catch stockouts and overstock before they cost you.
Give warehouse teams live demand alongside inventory, fulfillment, shipping, and returns — so they can review which stock should move, where, and when.
Stock risk flagged early
Live demand inventory routing
Tracked service levels
Inventory Decisions
Put the right inventory where demand is forming.
Whether you run only ecommerce, retail, or wholesale—or a mix—Path Analytics helps balance stock, demand, and service levels using supported inventory and fulfillment data.
Live Demand Inventory Routing
Give warehouse teams demand by SKU, store, and channel alongside availability and inventory age to review what should move next.
Stockout & Overstock Forecasts
Forecast inventory risk before it ties up cash or forces a markdown.
Markdown & Repricing Signals
Use demand, age, and margin to decide when a price action is needed.
Fulfillment Exception Monitoring
Track missing shipments, delayed deliveries, and channel-specific fulfillment pressure.
Delivery & Returns Feedback
Close the loop with delivery outcomes, return reasons, and refunds.
Ask Inventory Questions
Ask where stock is aging, which SKUs risk stockout, and what should move next.
Merchandising, Planning & Allocation
Match inventory commitments to demand while there is time to act.
Bring the plan, current selling, inventory age, and category margin into one real-time decision view.
Find where the plan is drifting
Compare expected performance with real-time sales, inventory aging curves, and demand by store and channel.
Protect sell-through and margin
Review a replenishment, transfer, channel, or markdown action with an owner, margin guardrail, and checkpoint.
Production-to-shelf visibility depends on connected production, purchasing, inventory, and sales data. Path Analytics provides the intelligence and decision layer; teams execute approved changes in their operating systems.
Inventory Risk in Context
Why is Store #38 about to stock out while cover sits idle nearby?
Analyze Anything: start with a stockout or overstock signal to understand what is working, what is not, and what to do next.
Excess coverStore #52Available units identified
Warehouse reviewLive demand + constraintsConfirm what can move and where
Stockout riskStore #38Projected in 9 days
Management checkpoint7-day reviewRisk, sell-through, remaining stock
01
Store #38
Performance gap
Projected to stock out in 9 days while comparable stores still hold weeks of cover for the same SKU.
02
60 units
Path Analytics recommendation
Review a transfer from Store #52, which is carrying excess cover, after comparing live demand, available units, and fulfillment constraints.
03
Warehouse + Inventory Operations
Team review and checkpoint
The warehouse team confirms availability. Inventory Operations reviews and executes the transfer in its operating systems, then management checks stockout risk and sell-through after 7 days.
How It Works
From inventory signal to a team-executed move.
Path Analytics doesn't stop at a forecast — it finds the risk and recommends the fix. Here's what powers it, how it helps, and how the AI stays grounded.
What data powers AI-powered supply chain analytics?Inventory, SKU, store, channel, demand, orders, fulfillment, shipping, delivery exceptions, returns, and refunds.
How does it improve inventory movement?Path Analytics compares demand, inventory age, channel pressure, and fulfillment outcomes to recommend the next action.
How does AI stay grounded?Click Analyze on any inventory metric for the explained root cause, or set a stockout or overstock target and get a tracked plan of the actions needed to hit it.
Core + Extensible
Built-in AI catches inventory risk today.
Supply chain analytics runs on the same shared retail context that powers Path Analytics' built-in AI and supported connected assistants.
See how AI assistants connect to Path Analytics →Inventory Teams
Move inventory with demand, not guesswork.
See how Path Analytics helps teams forecast inventory risk, improve fulfillment visibility, and match stock to demand.