AI Commerce Intelligence for Retail & Ecommerce

Improve Sell-Through.
Prevent Revenue Leakage.

Path Analytics is the retail context layer for AI, connecting commerce data, business context, and retail goals in real time.

One shared retail context for your teams, connected AI assistants, and agentic workflows.

Sell-through improvement Revenue leakage prevention Shared retail context Agentic Commerce
Diagram showing retail systems connected to Path Analytics for shared metrics, built-in AI, and recommended actions.

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.

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
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
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.

Built-in AI handles everyday retail analysis and recommendations—no separate assistant required. For advanced agentic commerce and AI workflows, Path Analytics serves as your governed data gateway, giving supported assistants and agents access to the same enriched retail context.

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 or analyze any data point. Understand what is happening, why, and how to improve it. Path Analytics recommends actions and tracks progress.

Explore AI for every retail team →
Analyze running-shoe sell-through at Store 114: explain missing popular sizes, recommend a size-level transfer, and track action status and sell-through.

Analyze any data point

Footwear / Running shoes / Store #114

Why are running shoes underperforming here?

What is happening

Running shoes are selling below local demand.

Why it is happening

Popular sizes are missing at Store #114, while nearby stores hold those sizes in slower-moving stock.

Recommend an action

Review a size-level transfer before a markdown.

Owner
Inventory Operations
Checkpoint
Next week

Track the action and result

Follow action status, size availability, and sell-through.

Your team reviews and carries out the change. Path Analytics tracks progress.

Analyze the detail. Review the action. Track progress.

Real Deployments

Not benchmarks. Customer outcomes.

Trusted by 60+ companies to support everyday retail decisions.

$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.
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.

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
  1. 01 Understand why See drivers and evidence.
  2. 02 Review the action Choose the recommended change.
  3. 03 Assign ownership Choose an owner and checkpoint.
  4. 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 analytics
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 analytics
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.

Whether you run only ecommerce, retail, or wholesale—or a mix—Path Analytics works with the systems you use.

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.

  • Amazon
  • Celerant
  • Easypost
  • Ebay
  • Etsy
  • Fedex
  • Magento
  • Neatoscan
  • Netsuite
  • Rms
  • Shipstation
  • Shopgoodwill
  • Shopify
  • Upright
  • Ups
  • Usps
  • Woocom
Ready to Improve Retail Execution?

See your next retail decision, explained.

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

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