Retail & Ecommerce Intelligence

Retail AI That Protects Revenue and Improves Sell-Through.

Find what changed, recover revenue, and move inventory faster.

Built for decision makers, sellers, store managers, and operators.

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Sell-through lift Revenue leakage detection Natural-language search Omnichannel Agentic Commerce

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

Actionable Intelligence

High-value decisions without extra reporting work.

See what needs attention, choose the next action, and measure the result in one trusted place.

Works with the systems teams already use

Connect POS, ecommerce, marketplaces, ERP, inventory, fulfillment, and shipping in one operating view.
Recommendations tied to retail outcomes

Prioritize the actions most likely to improve sell-through, protect margin, and recover revenue.
Plain-English help for everyday operators

Ask what changed, understand why, and review the recommended corrective action.

Built For Retail Teams

Every role gets the next best action.

Clear priorities and measurable actions for every team responsible for retail performance.

Ecommerce Sellers

Improve listings, pricing, relisting decisions, conversion, and fulfillment follow-through so more inventory reaches the right online buyer.

Store Managers

Spot slow movers, local demand shifts, stockout risk, transfer needs, and aging inventory before weekly reports turn into missed sales.

Operators

Coordinate warehouse, fulfillment, and supply-chain work. Surface exceptions, assign owners, and track progress from one operating view.

Executives

See sell-through, revenue recovery, demand, inventory health, and execution progress without waiting for teams to reconcile reports.

Not Just Dashboards

AI that explains itself and works toward a goal.

Most analytics tools stop at a chart, report or KPI. Path Analytics is built to reason about what changed and drive toward a result.

Click Analyze, get the "why"

Click Analyze on any metric to see what drove the change and which action can improve it.

Set a target, Path Analytics plans the path

Set a goal and Path Analytics maps, assigns, and tracks the actions needed to reach it.

What Comes Built In

One operating layer for inventory, demand, sales, and execution

Path Analytics packages the data foundation, retail intelligence, plain-English guidance, and action workflows teams otherwise have to buy, build, integrate, train, and maintain separately.

Unified Retail Foundation

Connect stores, ecommerce, inventory, orders, fulfillment, returns, listings, vendors, and customers into one trusted retail model.

Revenue Leakage & Recovery

Identify low-conversion products, missed demand, fulfillment friction, return spikes, pricing gaps, and other leakage, then track corrective actions and recovery progress from start to finish.

Sell-Through Lift Actions

Turn slow movers, stale listings, channel mismatches, price gaps, and aging inventory into prioritized actions teams can review and execute.

Sales Forecasting and Planning

Predict sales by SKU, store, channel, category, location, season, and time period so teams can plan inventory, pricing, labor, and revenue targets earlier.

Inventory Placement Actions

Surface overstock, stockout risk, replenishment needs, and transfer opportunities so teams can put the right inventory where it is most likely to sell.

Plain-English Retail Guidance

Ask questions in natural language every store manager and ecommerce operator understands, then investigate drivers, actions, and revenue impact without waiting on reports.

Works With Existing or New Stacks

Connect what you have. Fill what you do not.

Bring POS, marketplaces, ecommerce platforms, shipping, ERP, fulfillment, and inventory data into one AI-ready operating layer.

01

Inventory

Receive, classify, age, and value inventory across locations.

02

Listing

Create listings, monitor quality, and track lister throughput.

03

Relistings

Identify stale items, price gaps, and channel opportunities.

04

Sales

Predict demand, conversion, sell-through, and margin impact.

05

Fulfillment

Track orders, exceptions, labor, shipping, and service levels.

06

Delivery

Close the loop with returns, delivery performance, and feedback.

Action feedback loop Every event improves forecasts, recommendations, pricing, sell-through recovery, and inventory-to-demand matching.

Easy To Use

Ask the question. See the action.

Ask about sell-through, revenue leakage, demand, inventory, fulfillment, or returns without waiting on a custom report.

Answers stay tied to governed retail context, explain the business driver, and point teams toward the corrective action that can improve sell-through or prevent revenue leakage.

Claude, ChatGPT, and Gemini can query it too →

Path Analytics answering a plain-English sales question with a chart and a recommended action awaiting approval.

Real Deployments

Not benchmarks. Customer outcomes.

Two engagements, measured from diagnosis to result.

$7.8MCross-channel revenue drift caught, recovered in six weeks.

16%Sales lift across 64 stores after routing stock to demand.

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

Read the full case studies →

Ready to Improve Retail Execution?

Give every team a clearer way to act.

See how Path Analytics helps retailers and ecommerce teams improve sell-through, prevent revenue leakage, prioritize corrective actions, and measure what changed.