Intelligent search A few years ago

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No wonder that more and more users expect exactly this auto-suggest function when searching for products in the online shop. You can make your product search particularly user-friendly by showing the user images of relevant products: Product search at Globetrotter.de Fault tolerance Typos are not uncommon and sometimes the user simply doesn't know exactly what a product is called. An intelligent search should therefore be error-tolerant and display relevant results despite spelling errors and typos. Amazon, for example, correctly assumes that when I say “serlock” I actually mean “Sherlock (Holmes).

Error tolerance in product search in e-commerce In addition to spelling and typing errors, your India Phone Number search function should also take partial terms, singular and plural as well as synonyms into account. So it shouldn’t matter whether I’m looking for “mountain boots” or “mountain shoes”. Problems with the search function with synonyms Although Globetrotter's search is exemplary in many respects, the internal search engine apparently has problems with synonyms.  Google was the pioneer in “intelligent search”: Instead of filtering search results according to the keywords they contain, Google Search increasingly paid attention to the semantic meaning of words.



Today, semantic search is nothing new and should be a given for online shops. #5 Presentation of search results It is important that you not only take the user “by the hand” during their search query, you should also support them afterwards and present the search results clearly: Principle of hit ordering : The hits can be ordered according to relevance, but bestsellers and the availability of products should also be taken into account. If I click on the first product displayed and find out on the product page that it is “currently not available”, I will probably turn my back on the shop in frustration. Precision through filters : If the selection of hits is too large, it confuses the user rather than helping him. Therefore allows the user to narrow down the results of their search and filter them by brand/manufacturer, price or color.