Omnichannel Analytics Platform

Stop inventory from getting stuck in the wrong channel.

Omnichannel analytics connects inventory, listings, sales, fulfillment, returns, and channel costs across connected channels. See where stock, demand, and profitability diverge before your team decides the next move.

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End-to-end inventory visibility Channel-aware transfers Tracked channel profitability

Path Analytics omnichannel dashboard showing cross-channel demand, sales lift, and a recommended action to rebalance inventory toward converting channels.

Connected Intelligence

Connect the decisions that usually live in separate systems.

Start with ecommerce, retail, or wholesale alone, or connect a mix. Path Analytics helps improve sell-through within each operation and coordinate decisions across channels when combined. Coverage depends on available connected data.

Cross-Channel Demand

Compare demand across connected stores, marketplaces, and owned ecommerce against expected performance.

Inventory-to-Channel Matching

Find which inventory belongs in stores, ecommerce, or marketplace channels next.

Customer & Buyer Context

Connect customer and channel behavior to see where demand converts.

Channel Profitability

Compare margin, fees, shipping pressure, and returns before moving inventory.

Fulfillment & Returns Feedback

Feed delivery outcomes and returns back into channel decisions.

Ask Across the Business

Ask why a product sells online but not in stores, and which channel needs it next.

Bridge Decisions

Why is this SKU converting online but sitting idle in-store?

Analyze Anything: start with a channel KPI, trend, or action to understand what is working, what is not, and what to do next.

Store #22Inventory sittingSell-through below expected performance

Path AnalyticsCompare before movingDemand · margin · fees · fulfillment

MarketplaceDemand growingChannel profitability remains visible

Shared decisionChannel + Warehouse Operations review the move

Performance gap

Store #22

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

180 units

Review a transfer from Store #22 after checking store availability, channel margin, fees, and fulfillment costs.

Team review and checkpoint

Channel + Warehouse Operations

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.

How It Works

From cross-channel signal to a coordinated action.

Path Analytics doesn't stop at a comparison — it finds where inventory is misplaced and recommends the move. Here's what powers it, what it improves, and how the AI stays grounded.

What data powers omnichannel analytics?Available POS, ecommerce, marketplace, inventory, listing, customer, order, fulfillment, return, and channel-cost data from supported systems.

What does it improve?Teams compare channels, catch demand shifts, and place inventory where it is most likely to sell.

How does AI use omnichannel data?Use Analyze Anything to understand a channel gap, then review recommended actions with an owner and checkpoint.

Core + Extensible

One 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 →

Omnichannel Teams

Bridge demand, inventory, and execution across channels.

See how Path Analytics helps teams coordinate stores, ecommerce, inventory movement, and fulfillment outcomes.

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