Recover ecommerce revenue.
Improve marketplace sell-through.
Whether you sell through a single D2C store or marketplace, or combine ecommerce with retail or wholesale, Path Analytics explains performance gaps and recommends actions to improve sell-through.
Use shared commerce context in Path Analytics and connected AI assistants. Your team chooses what to change.
Connect the channels where inventory sells.
Bring supported channel data into shared commerce context. Connection availability and setup depend on your systems.
Find the gaps holding back ecommerce sales.
For ecommerce leaders, sellers, listers, and fulfillment teams deciding what to fix next.
Match Inventory to Demand
Identify where available inventory is most likely to sell. Review channel demand, selling price, and margin before moving stock.
Investigate Conversion Gaps
Compare listing performance with relevant peers and expected demand. Use traffic and conversion signals where the connected source provides them.
Lister Performance Analytics
Compare throughput, listing quality, sold rate, and listed days to find coaching opportunities and content gaps.
Channel Demand Forecasting
Review demand estimates by SKU, category, and channel to guide inventory and listing priorities.
Price & Relisting Actions
Review repricing and relisting recommendations against demand, inventory age, and margin limits.
Orders, Fulfillment & Returns
Trace delayed orders, missing shipments, refunds, and return reasons to the items and exceptions needing attention.
Why is footwear selling on one channel while listings stall on another?
Analyze Anything: start with a KPI, trend, or action to understand what is working, what is not, and what to do next.
Channel performance gap
Listings are selling on one channel while 27 SKUs remain stale on another. Inventory is available and no fulfillment exception explains the gap.
Path Analytics recommendation
Review relisting with refreshed pricing after checking inventory age, expected demand, and margin limits.
Team review and checkpoint
The fulfillment operator confirms availability and service constraints. The channel operator updates the listings, then the ecommerce lead checks sell-through and margin after 5 days.
From a channel 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 channels, listings, orders, and inventory to shared commerce definitions.
Detect
Compare listing and channel performance with expected demand and relevant peers.
Recommend
Review the affected listings, evidence, estimated opportunity, and proposed change.
Act and Review
Teams update their commerce systems and review sell-through and margin at the agreed checkpoint.
See which ecommerce actions to prioritize.
Walk through a listing or channel gap, its supporting evidence, and the next action your team can review.