Recover ecommerce revenue.
Improve marketplace sell-through.
Ecommerce analytics connects channel, listing, order, and inventory data — whether you sell through a single D2C store or marketplace, or combine ecommerce with retail or wholesale. Path Analytics compares channel performance against expectations and recommends actions to improve sell-through.
Connect the channels where inventory sells.
Bring supported channel data into shared retail 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.
Listing Quality & Throughput
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 surfaces the gap and recommends the next action. Your team decides, acts, and reviews.
Connect
Unify channels, listings, orders, and inventory.
Detect
Find expected-versus-actual gaps using market and demand context.
Recommend
Surface the best-supported changes and estimated opportunity.
Act & Review
Make the change, then review sell-through and margin at the agreed checkpoint.
In-depth channel analytics, benchmarked against what the market supported. Drill from channel performance into categories, subcategories, listings, and SKUs — with expected-versus-actual performance visible at every level.
See which ecommerce actions to prioritize.
Walk through a listing or channel gap, its supporting evidence, and the next action your team can review.