The typical content manager tasks are to publish SKU in a specific catalog entry and to assign necessary labels and properties to a product.

This work makes it possible for the customer to locate the product in a category or by using filters.

A common problem that large ecommerce sites are facing is the slow speed of content managers. If content managers process products slower than sellers publish new entries, then the backlog starts to build up. These products are therefore not visible on the site which means that they do not sell.

It is therefore clear that the sales depend on the speed and quality of content management.

We can extract structured attributes from photographs and descriptions of a product. These attributes can be used in the product catalog and in the search. For example - that some specific product is for women, or that this specific product is yellow.

It is common that several sellers provide duplicate items.
We can find these duplicated items and you can decide whether, or not to merge them into one item.

If your store provides a large number of items (such that customer will never see all the available items), you need to show customers only the items that offer a high probability that they will want to buy.

With AI we can predict which items will be most interesting for the customer and create a personalized item collection for specific customers in real time.

If you don't have a system for daily data collection and visualization about store performance, you don't have the opprtunity to make informed business-decisions.

We can automate regular data collection, processing and storage from variety of sources and we can build all necessary business-reports: KPIs, sellers, items, revenue, customer acquisition costs, order status, site functions etc.