Channel economics, marketplace-fee reality, listing health and cannibalisation in one view.
Selling on your own shop and on marketplaces means two very different economics that rarely get compared honestly. CDO Agent assembles context across your e-shop and connected marketplaces, computes contribution after each channel’s real fees, and shows where channels cannibalise each other and where a listing is quietly underperforming - so channel-mix decisions rest on net economics, not gross revenue.
Own-shop vs each marketplace on a like-for-like contribution basis, net of fees, fulfillment, returns and ad spend - so you know where the next unit of volume is actually worth selling.
Where one channel is eating another’s share rather than adding incremental demand, quantified, so a marketplace push is judged on net P&L impact.
Buy-box, suppression and content-gap signals plus cross-border VAT and duty awareness, so per-market profitability reflects the real cost of selling there.
After marketplace fees and returns, is this category still profitable on Amazon vs my own shop?
Is the marketplace channel adding demand or just cannibalising my e-shop?
Which listings lost the buy-box or got suppressed this week?
What is my true profit per market once IOSS / OSS VAT is accounted for?
Every answer comes back in your own numbers, with a clear next step.
True gross margin by SKU, category and channel - after every fee, return and discount.
Read moreCost-plus floor audits, competitor scrapes, marketplace-fee impact and discount-erosion analysis.
Read moreCarrier-contract audits, fuel-surcharge checks, RFP scoring and last-mile mix.
Read moreCapacity diagnosis, dead-stock segmentation, ABC analysis and slotting.
Read moreSupplier lead time, MOQ vs cash tie-up, OTIF, allocation and cross-border flow.
Read moreReturns-rate root cause, fraud signals, refund-policy audit and churn diagnostics.
Read moreVendor selection, integration design, migration planning and ROI - read-only, vendor-neutral.
Read more250 free credits, no card. Connect a source, ask a real question, and see the answer in your data.