Find the store-level actions that improve sell-through.
Whether you run only physical stores or combine retail with ecommerce or wholesale, Path Analytics compares store performance against expectations and explains where revenue is at risk.
Use shared commerce context in Path Analytics and connected AI assistants. Your team chooses what to change.
Turn store data into local actions.
Designed for store, district, and regional leaders managing performance, local demand, inventory movement, and field execution.
Find Store Performance Gaps
Compare sell-through with expected performance for similar stores, regions, and categories. Investigate gaps that a chain average can hide.
Review Aging Inventory
Review inventory age alongside local demand. Decide which items to keep, transfer, or list online.
Understand Local Conversion
Where footfall data is connected, compare visits with POS conversion to investigate local demand and pricing gaps.
Find Customer Opportunities
Use basket patterns, customer behavior, and local assortment to review targeted upsell opportunities.
Compare Store and Online Demand
Connect store-specific online sales and consignment context to see where inventory can better serve demand.
Analyze Anything
Start with a store KPI, trend, or action. See what is working, what is not, and the recommended course of action.
Why is Store #114 missing demand while stock is available?
Analyze Anything: start with a KPI, trend, or action to understand what is working, what is not, and what to do next.
Performance gap
Sell-through is below expected performance for comparable locations while local demand and stock are available.
Path Analytics recommendation
Review a DC transfer to Store #114 after checking DC availability and the needs of other stores.
Team review and checkpoint
Warehouse or inventory operations confirms available units and competing store needs. Store Operations reviews and executes the transfer, then leadership checks sell-through and remaining inventory after 7 days.
From a store performance gap to a reviewed action.
Path Analytics connects, compares, and recommends. Your team decides and executes, then reviews the observed change.
Connect
Connect supported POS, inventory, and store sales sources to shared retail definitions.
Detect
Compare expected and actual performance with local demand and inventory context.
Recommend
Review a transfer, pricing, or listing recommendation with evidence and an estimated opportunity.
Act and Review
Teams make the change in their operating systems and review sell-through at the agreed checkpoint.
See the next action for your stores.
Walk through a store comparison, the inventory behind the gap, and a recommendation your team can review.