Improve Sell-Through.
Prevent Revenue Leakage.
Connect your POS, ERP, and commerce stack once. Path Analytics identifies stockout risks, channel tension, and margin loss across every channel.
Give your teams, connected AI assistants, and agentic workflows the exact same retail context.
Connect once. Start with built-in AI. Extend when you choose.
Bring your commerce systems, retail context, and AI-assisted decisions together in one platform.
Connect the systems you use
- POS & stores
- Ecommerce & marketplaces
- ERP & inventory
- Fulfillment & shipping
Keep your existing stack.
Path Analytics
- Consistent retail metrics
- Expected performance
- Cross-channel context
- Evidence & recommendations
- Controlled Context Access
Built-in AI. Vendor-neutral access.
Use built-in AI. Add your preferred AI.
Use the AI built into Path Analytics, or connect supported assistants and merchant-operated agents.
Improve sell-through. Prevent revenue leakage.
Ask the question. See the action.
Ask in plain English. See what changed, why it matters, and which action to review.
How AI assistants connect to Path Analytics →
Example question
What are our Q3 sales trends for apparel?
Context behind the answer
Apparel sales are up 18% versus last quarter, led by footwear. Inventory in the South-East is not keeping pace with demand.
Recommended action
Expedite replenishment to 6 South-East stores.
- Owner
- Regional Merchandising
- Checkpoint
- 5 days
The team reviews and carries out the change.
Example scenario: From sales trends to a recommended action.
Not benchmarks. Customer outcomes.
Every role gets the next best action.
Ecommerce Sellers
Improve listings and pricing to sell more inventory.
Store Managers
Spot stockout risks and slow movers before they cost sales.
Operators
Resolve fulfillment exceptions with clear owners and checkpoints.
Executives
Prioritize revenue opportunities and track progress across channels.
Analyze Anything. Decide what to do next.
- 01 Understand why See drivers and evidence.
- 02 Review the action Choose the recommended change.
- 03 Assign ownership Choose an owner and checkpoint.
- 04 Check results Review progress and outcomes.
Commerce intelligence for the next era of retail AI.
Advanced omnichannel analytics and vendor-neutral AI access, built on one shared retail context.
- Less custom AI development
- Reusable system connections
- One interface for AI access
- Vendor-neutral AI access
Advanced Omnichannel Analytics
Find performance gaps across stores, ecommerce, and marketplaces using shared retail context.
Revenue Leakage & Recovery
Find missed revenue opportunities and track corrective action.
Sell-Through Lift Actions
Prioritize listing, pricing, and channel changes to move slow inventory.
Sales Forecasting and Planning
Forecast demand to plan inventory, staffing, and revenue targets.
Inventory Placement Actions
Identify replenishment and transfer opportunities where demand is strongest.
Plain-English Retail Guidance
Ask a retail question. Review the evidence and recommended action.
One view across your commerce operations.
Connect supported ecommerce, store, wholesale, inventory, fulfillment, and ERP data in one commerce intelligence layer.
Ecommerce & Marketplaces
Listings, pricing, conversion, and channel performance.
Stores & Locations
POS sales, local demand, inventory, and store performance.
Wholesale & Partner Doors
Shipments, partner inventory, and sell-through where available.
Inventory & Supply
Availability, aging, replenishment, and transfers.
Fulfillment & Returns
Order exceptions, shipping, delivery performance, and returns.
Shared Commerce Intelligence
Performance comparisons, forecasts, and recommended actions.
See your next retail decision, explained.
Explore the evidence, recommended action, and expected opportunity in a Path Analytics demo.
Request Demo