Better decisions, from the floor to the executive team.
Connect real-time sales, inventory, demand, and operations in one shared retail context.
Built-in AI helps every team understand what changed and choose what to do next.
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Ask it the way your team already talks.
Get answers without technical expertise or digging through reports and charts.
What happened
"Which best-selling products are out of stock?" See what needs attention across products and locations.
Why it happened
"What's driving the drop?" Path Analytics surfaces the evidence—stock, demand, pricing, or fulfillment—in plain terms, not raw data.
What needs to be done
"What should we do about it?" A recommended action, in the language of the decision—not a report to interpret.
Who acts, and by when
"Who owns it, and by when?" A clear owner and checkpoint, so the action moves from insight to execution.
Connect store, ecommerce, warehouse, and inventory context so operators, managers, and executives can see what needs attention—and decide what to do next.
- Store teams: What needs attention on the floor today?
- Ecommerce teams: Which listing, pricing, or fulfillment issue needs action?
- Warehouse and operations: Which stock movement or fulfillment exception needs attention first?
- Managers and planners: Where does inventory differ from demand?
- Executives: Where is revenue at risk, and are actions improving performance?
Why did sell-through drop in women's apparel, and what should we do this week?
Store stock and channel demand are out of step.
Compare sell-through, stock by location, marketplace demand, and listing completeness.
Management review: Compare transfer and pricing options. Weekly checkpoint: Check sell-through, aged stock, and margin against the baseline.
Understand what changed. Decide what to do next.
Use Analyze to explore performance, compare options, and plan actions.
Analyze Anything
Analyze any KPI, trend, forecast, or Action row.
Compare Performance in Context
Compare stores, categories, and SKUs with expected performance.
Compare options. Plan the next action.
Compare options, then assign an owner, checkpoint, and guardrail.
Connected context makes the answer useful.
Products, stores, channels, metrics, and expected performance come together in one shared retail context.
One Business Context
Use consistent retail entities and metrics across channels.
Evidence Behind the Answer
See the products, locations, comparisons, and drivers behind each answer.
Priorities Tied to Value
Prioritize actions that improve sell-through or prevent revenue leakage.
Set the goal. Path Analytics plans and tracks progress.
Path Analytics turns your sell-through or revenue goal into a sequenced action plan and tracks progress as actions are completed and results come in.
- Set the target: A sell-through or revenue goal, by category, SKU, store, or channel, with a deadline.
- Get the plan: A sequenced set of actions—pricing, placement, replenishment, allocation—with owners and checkpoints.
- Track progress: Follow results against the target at each checkpoint.
Lift footwear sell-through 8% in the Southeast this quarter.
Three recommended actions to work toward the target.
Rebalance stock to demand, close listing gaps, then adjust price on aged styles.
Tracked weekly: Sell-through vs. target, by store and SKU. Checkpoint: Re-plan remaining actions if off pace.
See the next decision your team could make.
Bring a sell-through or revenue-leakage question. See the evidence and next step.