Hierarchy and Logic
AI invisibility
The main mistake made by online shop owners is to structure their catalogue according to the company’s internal logic: brands, product ranges, ‘as per stock’. In reality, shoppers are not looking for ‘model X’, but for ‘a reliable option for a specific scenario’.
In practice, there is an increasing need for a structure that supports several modes of thinking: exploration, comparison, doubt, and revisiting choices. This is precisely why more and more shops are supplementing their catalogues with scenario-based layers: selections ‘for whom’, ‘for what’, and ‘under what conditions’. The catalogue ceases to be a mere list of products and begins to act as a guide to solutions, according to experts at Betonlogos.
A convoluted structure of product variants (colours, sizes, configurations) creates chaos not only for people, but also for algorithms. Today, the majority of purchases are made via AI assistants and aggregators. If your database does not allow external software to clearly ‘read’ the parameters and compare items, your shop becomes ‘invisible’. Errors in the marking-up of product variants amount to voluntarily forgoing access to the market.
Poor or non-existent search filters
Filters with a dozen parameters and no prioritisation make the selection process more complicated. A good structure hides the unnecessary details! Search is no longer a secondary function; today it is the main sales tool, and its inability to process ‘dirty’ data or incomplete product attributes results in direct financial loss.
Managers at Betonlogos believe that by 2026, navigation must be semantic. Search is being optimised to understand synonyms or ‘natural language queries’. If an online shop cannot process queries in the customer’s natural language, including typos and synonyms, then customers will leave, or they will be ‘poached’ by competitors or AI assistants.
The economics of returns: a blind spot in the catalogue
Most online shop owners assess the effectiveness of their product structure by looking at turnover rather than net profit.
The shop’s structure should automatically demote unpopular products (with a low purchase rate) and those with a high returns rate in search results. If a particular product drives traffic but does not generate profit, it belongs at the end of the catalogue, not on the homepage. Your website should automatically filter out ‘toxic’ hits from search results, saving your resources without any extra effort.
Betonlogos s.r.o. will help you automate routine tasks and reduce return costs, as well as create new supply and sales chains.