Unify retail data into an action-ready AI platform.
AI-ready from day zero. Connect ecommerce channels, retail stores, POS systems, inventory management, supply chain, fulfillment, returns, and customer feedback into one governed retail layer that can detect leakage, protect margin, improve sell-through, and answer questions. Support AI-assisted work for operators, store managers, fulfillment teams, and executives.
Connect fragmented systems into one AI-ready retail brain.
PathAnalytics standardizes source data into a governed semantic layer so dashboards, forecasts, Connected Intelligence, recommendations, and approved workflows all use the same retail truth.
Connected Sources
Amazon, eBay, ShopGoodwill, Shopify, Etsy, Walmart, marketplaces, and owned commerce.
POS, stores, customers, buyers, locations, categories, transactions, and returns.
Inventory, replenishment, warehouse, fulfillment, shipping, delivery exceptions, and return feedback.
Listings, production, BOL, audits, field workflows, approvals, and operating follow-through.
Unified Retail Data + AI Semantic Layer
Canonical retail entities, governed metrics, comparison logic, freshness markers, forecasts, and secure business context.
Connected Intelligence
The AI layer missing from POS, ERP, and ecommerce tools.
Transactional POS engines and ERPs record what happened in the past. Native marketplace dashboards only see their own channel. PathAnalytics acts as the intelligent operating layer on top of your existing systems, unifying physical store and digital marketplace data to predict demand and automate revenue recovery.
Business metrics before raw database access.
Connecting LLMs directly to raw SQL databases can create security exposure, metric hallucinations, incorrect inventory joins, and non-reproducible calculations.
PathAnalytics standardizes store, channel, SKU, and customer data into a governed semantic layer. Every Connected Intelligence answer, diagnostic workflow, and automated recommendation relies on verified, audit-ready metrics.
Why choose PathAnalytics over custom builds or native reports?
Deploy an AI layer that watches your business in real time, explains what drove every change, and drives action workflows without multi-year engineering roadmaps or fragmented single-channel reports.
Custom In-House Build
- 12-18 month engineering timeline
- $500k+ ongoing data team costs
- Brittle custom LLM pipeline maintenance
- High risk of metric hallucination
Siloed POS and Channel Reports
- Store-only or channel-only blind spots
- Backward-looking historical graphs
- No cross-channel inventory transfers
- Passive reports requiring manual effort
PathAnalytics Retail AI Platform
- Live in days with pre-built connectors
- Fractional cost with fast ROI
- Real-time AI monitoring across every operating signal
- Click Analyze for an explained root cause, not just a chart
- Set a target and PATH maps and tracks the actions to reach it
- Governed semantic context
- Connected Intelligence for natural-language analysis and diagnostics
- MCP-enabled agentic AI for approved workflows
Built to move the metrics retail teams care about.
PathAnalytics is not a generic dashboard layer. It is designed around the decisions that recover revenue, improve sell-through, protect margin, move inventory, and keep customer satisfaction visible.
Drive Better Sell-Through
Find slow movers, stale listings, price gaps, channel mismatches, and replenishment misses before they become margin problems.
Recover Revenue and Protect Margin
Detect missed conversion, stockout risk, margin leakage, return spikes, campaign waste, high-traffic low-sales products, fulfillment friction, and pricing anomalies.
Forecast Demand Granularly
Plan demand by SKU, category, store, channel, location, season, and time period, using inventory, listing, and historical signals to see likely revenue and unit movement sooner.
Improve Fulfillment Health
Connect orders, shipping, exceptions, missing shipments, delayed deliveries, undelivered packages, service levels, and operational bottlenecks to the same decision layer.
Customer Experience Feedback Loops
Feed missing shipment, delayed delivery, undelivered order, return reason, cancellation, refund, and support signals back into inventory, listing, pricing, and fulfillment decisions.
Recommend Price Moves
Spot markdown, repricing, promotion, and channel-placement opportunities using demand, margin, inventory age, and conversion signals.
Lister Performance Analytics
Measure listing throughput, quality, conversion, relist activity, average listed days, and sell-through by lister, channel, category, and price bucket.
Benchmark Store and Channel Performance
Compare store, category, SKU, and channel performance against peer locations or selling paths to find placement, pricing, and demand gaps.
Recovery Actions
Turn leakage signals into assigned corrective actions operators can review, perform, and track from detection through recovered revenue.
Tracked Sell-Through Lift
Measure whether pricing, relisting, transfer, channel, and replenishment actions improved sell-through, revenue, and inventory movement.
Consignment Performance
Track consigned inventory, sell-through, aging, pricing, revenue share, and recovery actions across stores, channels, and item groups.
Approved AI Workflows
Route recommended actions to the right owner, track approvals, and measure whether each workflow improves revenue, margin, fulfillment, or sell-through.
More than dashboards: explain what changed, then route the work.
PathAnalytics lets teams click Analyze from KPIs, trends, forecasts, and Actions to understand what is working, what is not, why it changed, and which course of action can improve the result.
A shared platform, packaged for the jobs teams need done.
Use PathAnalytics as the shared retail intelligence foundation, then activate focused modules for sell-through lift, revenue leakage and recovery, Connected Intelligence, and customer targeting.
Sell-Through Lift
Find slow movers, stale listings, weak channels, price gaps, stockout risk, inventory age, and demand shifts before margin is lost.
Explore sell-throughRevenue Leakage & Recovery
Detect leakage, protect margin, trigger recovery actions, and track recovered revenue across conversion, fulfillment, returns, pricing, and channel performance.
Explore recoveryCustomer Targeting
Compare new vs returning customers, identify engagement, satisfaction, fulfillment, return, and repeat-purchase risks early, then recommend the next best action.
Explore targetingConnected Intelligence
Let store managers, merchandisers, and operators connect channel signals, ask plain-English retail questions, investigate deeper drivers, and approve recommended workflows.
Explore intelligenceThe operating workspaces teams need on day one.
The product already brings core retail workflows into one shell: dashboards, ecommerce, stores, reports, forms, Connected Intelligence, account controls, and admin visibility.
Executive Dashboard
KPI cards, sparklines, trend charts, date comparison, forecasts, Analyze entry points, tenant switching, and dark/light mode in one operating shell.
Ecommerce Workspace
Channel KPIs, pipeline flow, trend windows, Analyze workflows, order drilldowns, item detail, channel filters, and mobile-aware listing/order flows.
Retail Store Workspace
Store overview, store rows, item detail, transaction detail, and local performance signals tied back to enterprise metrics.
Reports and Export
Dynamic report selectors, custom report views, tabular output, CSV export, share-ready report outputs, and consistent metric definitions.
Connected Intelligence
Ask business questions, Analyze KPIs, trends, and Actions, investigate deeper drivers, plan goals, and use the governed semantic layer instead of disconnected report logic.
Retail Ops Forms
Donations, production, BOL, end-of-day, and store audit workflows with submit, history, and operational visibility.
Channel and Store Controls
Channel list, credential visibility, store list, account profile, company detail, user management, roles, invites, and activity log.
Secure Enterprise Access
Password login, magic links, password reset, email verification, SSO resolution, tenant invites, tenant switch, and audited logout.
Data Freshness Foundation
ETL scheduler, sync runs, cursors, leases, errors, ClickHouse facts, Redis cache, and a path toward connector admin visibility.
A closed-loop retail system, not a row of disconnected reports.
Each lifecycle event becomes AI-ready context for the next forecast, recommendation, approved action, customer feedback loop, and measured business outcome.
Every action improves the next real-time decision.
Make retail data usable by every team and approved workflow.
See how PathAnalytics turns ecommerce, POS, inventory, supply chain, fulfillment, customer, buyer, and location data into governed answers, revenue recovery recommendations, margin protection actions, approved workflows, and measurable outcomes.
Request DemoProduct
Solutions
Pricing
Company
© 2026 PATHANALYTICS.AI LLC · Retail Intelligence & Revenue Recovery