A shop with a thousand SKUs has two problems that hiring does not solve: descriptions nobody has time to write, and customer questions that repeat a thousand times.
In an online shop AI gives most on the catalogue and on support. Descriptions, titles and meta text are produced from product specifications in batches instead of one by one, so an item that sat there with no text becomes findable. On the other side, most customer messages are three questions — where is my parcel, do you have it in a 42, how do I return this — and those are answered by an assistant wired to real stock and real shipment status rather than to generic text.
ProblemEight hundred items with no description. Google does not surface them, customers do not understand them.
SolutionFrom the specification, category and name come the description, title and meta description, in your voice and with your category wording. You approve in batches, not one at a time.
DeliveredGeneration and review tool with import and export.
ProblemSomeone types "something for a six month old" and gets nothing, because no product name says that.
SolutionSearch by meaning rather than by string match, with filters suggested from the query itself.
DeliveredSearch over your catalogue, plus a report of what people look for and you do not stock.
ProblemHalf of support messages are one question, and the answer is a copy-paste from the courier system.
SolutionThe customer enters an order number or email and gets the real courier status immediately, without waiting on you.
DeliveredShipment tracking on the site and in the automatic reply.
ProblemA return runs through ten emails while the statutory clock is already ticking.
SolutionA guided form collects everything at once — receipt, photo, reason — and opens a case with a deadline and a status the customer follows themselves.
DeliveredReturns register with deadlines and history.
Problem"Similar products" shows the same item in another colour.
SolutionRecommendations based on what is genuinely bought together and what fits a specific model, not on category.
DeliveredRecommendation block on the product page and in the basket.
ProblemYou do not know you are expensive until sales drop.
SolutionPublic price tracking for the items you choose, with an alert when someone undercuts you.
DeliveredPrice report per item and per competitor.
A shop without descriptions is a shop without price tags. Search engines cannot rank it, and now assistants cannot recommend it either — both of them read text. A product with no description is invisible in both worlds, however good the price is.
We look at the catalogue, the volume of support messages and where people abandon the basket.
For a shop that is almost always the catalogue — descriptions and search before anything else.
Built on your platform, whether that is WooCommerce, Shopify or your own.
One category first, so you can see how it reads and how it behaves in search.
Then support and returns, once the catalogue holds.
Web shop with an admin platform — catalogue, orders and content.
Google penalises useless content, whoever wrote it. A description built from a real specification, with accurate data and a review before publishing, is not that. Mass-generated text with no check at all is.
Yes, as it does on Shopify and on a custom shop. The catalogue is read and written back through your existing system, with no migration.
The practical limit is not the product count but review capacity. That is why it runs by category — process one, review it, move on.
It can guide them to the basket and fill it, but confirming the order stays with the customer. Anything else is a legal problem, not a technical one.