See each channel. Compare across channels. Coordinate the next move.
This is operational retail analytics across inventory, demand, sell-through, fulfillment, and profitability — not only marketing attribution or the customer journey. Store, ecommerce, inventory, and warehouse teams work from the same connected view.
Understand Each Channel
See inventory, sales, listings, sell-through, and demand within stores, owned ecommerce, marketplaces, and wholesale operations.
Compare Cross-Channel Demand
Compare expected and actual demand across channels, including online sales attributed to a specific store, to see where products are converting.
Match Inventory with Demand
Find where inventory is sitting, where demand is active, and which store, ecommerce, or marketplace channel may need the stock next.
Protect Channel Profitability
Compare margin, fees, fulfillment costs, return pressure, and store availability before recommending an inventory move.
Close the Operating Loop
Feed fulfillment, delivery, and return outcomes back into the next channel, listing, and inventory-placement decision.
Ask Across the Business
Ask in familiar retail language why a product sells in one channel but not another, what is driving the gap, and which action the team should review.
Why is this SKU converting online but sitting idle in-store?
Channel teams see where demand is growing. Store, inventory, and warehouse teams see the stock, margin, fulfillment, and availability evidence behind the recommended move.
Performance gap
The SKU trails expected store sell-through while marketplace demand grows. Compare stock availability, listings, fulfillment, and returns to explain the gap.
Path Analytics recommendation
Review a transfer from Store #22 after checking store availability, channel margin, fees, and fulfillment costs.
Team review and checkpoint
Warehouse Operations confirms available stock and fulfillment constraints. Channel Operations reviews and executes the move, then leadership checks sell-through, channel profitability, and store availability after 14 days.
From cross-channel signal to a coordinated action.
Path Analytics compares channel performance and recommends the next move. Your team reviews and executes the action. Here's what powers the recommendation, what it improves, and how the AI stays grounded.
One shared retail context for your teams and AI.
Build on your existing POS, ERP, and ecommerce systems. Path Analytics adds shared retail definitions, expected performance, and evidence so operators, leaders, and supported AI assistants can work from the same context. Use built-in AI today and extend to new agentic commerce workflows with fewer separate integrations and less duplicated business logic.
See how AI assistants connect to Path Analytics →Bridge demand, inventory, and execution across channels.
See how Path Analytics helps store, ecommerce, inventory, and warehouse teams align stock with demand while protecting sell-through, availability, and channel profitability.