AI Commerce Intelligence for Retail & Ecommerce

Improve Sell-Through.
Prevent Revenue Leakage.

Connect your POS, ERP, and commerce stack once. Path Analytics gives teams real-time visibility into stockout risks, channel tension, and margin loss across every channel.

Give your teams, connected AI assistants, and agentic workflows the exact same retail context.

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Sell-through improvement Revenue leakage prevention Shared commerce context Agentic Commerce

Path Analytics retail intelligence platform connecting POS, ecommerce, inventory, forecasting, fulfillment, listings, sell-through actions, and revenue recovery workflows.

Your Commerce Intelligence Journey

Connect once. Start with built-in AI. Extend when you choose.

Turn commerce records into real-time metrics, expected-performance context, and actions your teams can review—all in one platform.

01 · Connect and see

Unify the systems you use

POS & stores
Ecommerce & marketplaces
ERP & inventory
Fulfillment & shipping

Keep your existing stack. Add real-time reporting and omnichannel KPIs.

Connected data

02 · Activate built-in AI

Path Analytics

Consistent retail metrics
Expected performance
Cross-channel context
Evidence & recommendations
Controlled Context Access

Review evidence and recommended actions in enriched retail context.

Governed context

03 · Extend when ready

Use built-in AI. Add your preferred AI.

Use the AI built into Path Analytics, or connect supported assistants and merchant-operated agents.

Connected assistants receive governed business context through the Path Analytics interface. Your teams review decisions and control execution. Available connections and setup depend on your systems and chosen assistant.

Improve sell-through. Prevent revenue leakage.

Built-in AI
Vendor-neutral
Controlled context
Connected Intelligence
Protect Business IP

AI for Every Retail Team

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 →

Illustrative Path Analytics answer to a plain-English apparel sales question with supporting context and a recommended action.

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.

Real Deployments

Not benchmarks. Customer outcomes.

$7.8MCross-channel revenue drift identified. Sell-through returned above target within six weeks of corrective action.

16%Sales lift across 64 stores over the following quarter after routing stock to demand.

10–15×a day — how often floor teams open Path Analytics.

Read the full case studies →

Built For Retail Teams

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.

Warehouse & Operations

Use live demand, availability, and fulfillment constraints to review where inventory should move next.

Executives

Prioritize revenue opportunities and track progress across channels.

See decisions for every role → See connected platform coverage →

Not Just Dashboards

Analyze Anything. Decide what to do next.

Start anywhere

Analyze a metric KPI, trend, forecast, or action

or

Set a goal Target, timeframe, and priorities

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.

What Comes Built In

Commerce intelligence for the next era of retail AI.

Real-time reporting, charts, KPIs, dashboards, and dynamic reporting—with advanced omnichannel analytics and vendor-neutral AI access 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.

Explore omnichannel

Revenue Leakage & Recovery

Find missed revenue opportunities and track corrective action.

Explore recovery

Sell-Through Lift Actions

Prioritize listing, pricing, and channel changes to move slow inventory.

Explore sell-through

Sales Forecasting and Planning

Forecast demand to plan inventory, staffing, and revenue targets.

Explore supply chain

Inventory Placement Actions

Identify replenishment and transfer opportunities where demand is strongest.

Explore retail

Plain-English Retail Guidance

Ask a retail question. Review the evidence and recommended action.

Explore Connected Intelligence

Agentic Commerce

Extend the same shared retail context to supported AI assistants and agentic workflows — through one governed retail gateway.

Explore Agentic Commerce

Works With Existing or New Stacks

One view across your commerce operations.

Connect supported ecommerce, store, wholesale, inventory, fulfillment, and ERP data in one commerce intelligence layer.

01

Ecommerce & Marketplaces

Listings, pricing, conversion, and channel performance.

02

Stores & Locations

POS sales, local demand, inventory, and store performance.

03

Wholesale & Partner Doors

Shipments, partner inventory, and sell-through where available.

04

Inventory & Supply

Availability, aging, replenishment, and transfers.

05

Fulfillment & Returns

Order exceptions, shipping, delivery performance, and returns.

06

Shared Commerce Intelligence

Performance comparisons, forecasts, and recommended actions.

Ready to Improve Retail Execution?

See your next retail decision, explained.

Explore the evidence, recommended action, and expected opportunity in a Path Analytics demo.

Request Demo

Improve Sell-Through.
Prevent Revenue Leakage.