Sell-Through AI

Move more inventory through the right store, channel, and price.

PathAnalytics connects inventory, listings, sales, pricing, store, channel, and fulfillment signals to show where sell-through is slowing and what can be changed.

Teams can prioritize price moves, relisting work, channel placement, transfers, replenishment, and markdown review with a feedback loop that measures the outcome of every action.

What It Finds

The blockers hiding inside inventory and channel data.

Identify the reasons products are not converting before they become margin, storage, or markdown problems.

Slow Movers and Aging Inventory

Detect products, categories, stores, and channels where inventory age is rising faster than demand.

Channel and Store Mismatch

See when inventory should stay in-store, transfer to another location, move online, or shift across marketplaces.

Pricing and Listing Gaps

Flag stale listings, weak conversion, price buckets, listing quality issues, and markdown candidates.

Demand Forecast Variance

Compare forecasted demand to actual sales by SKU, store, channel, category, and time window.

Lister and Team Performance

Understand how listing throughput, quality, relisting cadence, and lister output affect sell-through.

Measured Action Outcomes

Track whether each pricing, transfer, relisting, or channel action improves sell-through after execution.

Retail AI Platform

Improve sell-through without building custom models and workflows.

Use the same platform foundation for forecasting, inventory matching, pricing, ecommerce operations, and Retail Copilot AI.

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