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NEXT-GEN COMMERCE INTELLIGENCE

Connect Your Retail Stack to One Shared Commerce Context.

Advanced omnichannel analytics is the foundation. Connect supported systems once and bring shared retail context to your teams, AI assistants, and connected workflows. Your teams keep control of every decision.

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Real-time reporting & KPIs Advanced omnichannel analytics Built-in retail AI Sell-through improvement Revenue leakage prevention Vendor-neutral AI access
Connected commerce sources feed Path Analytics: real-time omnichannel analytics and enriched retail context power built-in AI, prioritized actions, and the Agentic Commerce gateway for operating teams and executives. Three connected layers: commerce sources feed Path Analytics reporting and shared retail context, then built-in AI and the Agentic Commerce gateway support decisions from floor to executives.
Platform Architecture

One commerce context for teams and connected AI assistants.

Use real-time reports, charts, KPIs, dashboards, and dynamic reporting across connected commerce data. Apply shared retail context, then review AI answers and recommended actions.

Connected Sources
Ecommerce

Marketplaces & owned commerce

Retail Systems

POS, stores & customers

Supply Chain

Warehouse / DC inventory, fulfillment & shipping

Operations

Listings, production & field workflows

Path Analytics
Shared Retail Context

Consistent retail metrics and expected performance for teams and connected AI assistants.

Products Locations Channels Customers
Built-in AI and Connected Assistants

Built-in AI puts your retail context to work from day one.

Ask and analyze Ask a retail question and review the evidence.
Find performance gaps Explain sell-through changes and revenue leakage.
Forecast and prioritize Plan demand and prioritize recovery opportunities.
Agentic Commerce Share retail context with supported AI assistants.
Explore by solution Retail Ecommerce Supply Chain Omnichannel Wholesale
Built-In AI

Analyze Anything. Decide what to do next.

Click Analyze to see what is working, what changed, why, and which action can improve the result.

Start anywhere Analyze any KPI, trend, forecast, recovery signal, or Action row without opening a separate report request.
Click Analyze Use one simple button to open the deeper explanation behind the number, trend, or recommendation.
See what is working and what is not Review root cause, evidence, peer comparison, and the gap holding results back.
Choose the course of action Review the recommended change, affected products or locations, owner, and checkpoint before acting.
Track impact Follow owner progress, checkpoints, and the observed change in sell-through, revenue, and margin.
Built-In Intelligence and Connected Workflows

One foundation for your retail decisions.

Omnichannel analytics, built-in AI, and the unified access layer are included. Put them to work through these workflows.

Sell-Through Lift

Find slow movers, stale listings, price gaps, and demand shifts before margin is lost.

Explore sell-through
Revenue Leakage & Recovery

Detect leakage, protect margin, and track recovery actions across conversion, fulfillment, and pricing.

Explore recovery
Customer Targeting

Compare new vs returning customers, spot repeat-purchase risk early, and recommend the next action.

Explore targeting
Connected Intelligence

Let store managers and merchandisers ask plain-English questions and review recommended actions.

Explore intelligence
Agentic Commerce

One shared interface for connected AI assistants and agentic workflows, extensible to the AI vendors you choose.

Explore agentic commerce
Operating Outcomes

Built to move the metrics retail teams care about.

Focus teams on the decisions that improve sell-through, recover revenue, protect margin, and move inventory.

Drive Better Sell-Through Catch slow movers and price gaps early.
Recover Revenue and Protect Margin Detect leakage before it erodes margin.
Forecast Demand Granularly Plan by SKU, store, channel, and season.
Improve Fulfillment Health Connect orders, shipping, and exceptions in one view.
Customer Experience Feedback Loops Feed delivery and return signals back into decisions.
Recommend Price Moves Spot markdown and repricing opportunities early.
Prevent Partner Markdown Clawbacks Catch slow partner-door inventory before disputes arise.
Lister Performance Analytics Measure listing quality and sell-through by lister.
Benchmark Store and Channel Performance Compare performance against peers.
Recovery Actions Track leakage signals through to resolution.
Tracked Sell-Through Lift See whether actions actually improved sell-through.
Consignment Performance Track consigned inventory and revenue share.
Production-to-Shelf Visibility Track sell-through against production commitments.
Merchandising & Allocation Alignment Match inventory commitments to demand before the plan drifts.
Retail Lifecycle Coverage

A closed-loop retail system, not a row of disconnected reports.

Each lifecycle event becomes context for the next forecast, recommendation, and measured outcome.

Inventory Availability, aging, location
Listings Quality, lister, channel
Pricing Markdowns, margin, elasticity
Action feedback loop
Store, ecommerce, warehouse, and leadership teams review one connected decision.

Each action's observed result feeds the next performance review.

Sales Demand, conversion, revenue
Fulfillment Orders, SLA, exceptions
Delivery Returns, service, satisfaction
Why Path Analytics

Why choose Path Analytics over custom builds or native reports?

Explain what changed and act on it, without a long custom build or fragmented channel reports.

Custom In-House Build
  • Build and maintain source integrations
  • Define retail metrics and business context
  • Maintain access controls and AI connections
  • Own ongoing engineering and data-team time
Siloed POS and Channel Reports
  • Store-only or channel-only blind spots
  • Backward-looking historical graphs
  • Limited cross-channel inventory visibility
  • Passive reports requiring manual effort
Path Analytics
  • Connect supported systems once
  • One shared context for teams, AI assistants, and agentic workflows
  • Omnichannel-driven cross-sell and upsell
  • Goal-based plans with recommended actions
  • Revenue leakage detection and recovery
  • Demand forecasting and inventory optimization
  • Built-in AI for natural-language analysis and diagnostics
  • Agentic Commerce ready: Retail gateway for AI commerce agents with controlled access and protected IP
  • Packaged setup for supported systems and workflows
Build on a Shared Retail Context

See how Path Analytics connects your systems to AI Commerce Intelligence.

Walk through a business question, its supporting context, and the next action your team can review.

Request Demo See how a retailer identified $7.8M in revenue leakage →
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