A storefront reading the same stock the warehouse works from
Selling online is straightforward until the catalogue, the stock position and the ledger disagree. We build the storefront as another consumer of the same operational data.
The site sells stock that is already committed elsewhere.
Product data is maintained twice, and the two copies differ.
Marketplace orders arrive as a spreadsheet.
Returns land in the warehouse with no matching record.
Catalogue
One product record with channel-specific attributes, pricing and media, published outward.
Checkout
Cart, tax, shipping options and payment, with stock reserved at the moment of order.
Marketplaces
Listing, stock and order synchronisation with the marketplaces you already sell on.
Post-purchase
Tracking, delivery status and returns initiation, reading the same order record as support.
Included in every ecommerce scope
Product data model Channel pricing rules Stock exposure policy Payment and tax configuration Order and returns flow Marketplace listing rules Content publishing workflow Analytics and event tracking
The seams we design first
What AI does in ecommerce, specifically
It drafts and ranks. A merchandiser approves anything a customer will see.
Catalogue enrichment
Attributes and descriptions drafted from supplier data and existing copy, queued for a merchandiser to approve.
Search relevance
Query and no-result logs turned into synonym and ranking changes, with the affected searches shown.
Fraud and address checks
Risky orders held with the reason stated, so a person decides rather than a blanket rule.
Support deflection
Order status and returns questions answered from the live order record, with a handover to a person on anything else.
Show us where your storefront and your ledger disagree.
That gap is usually one interface and one policy decision.