AI Smart Search for E-shops - Internal search engine which predicts and hits clients needs

Hi ProductHunters, Martyna from QuarticOn team here. We are a technology company whose mission is to build a virtual e-commerce manager that can improve the functioning of online shops and help them earn more. Let me present you our second tool based on artificial intelligence – an internal search engine for online shops. Why is our search engine different than others? It's easy: - after the first letters of the query appear, it will display the most likely result in less than 0.5 seconds; keep in mind that autocomplete can increase conversion from the searching process up to three times - you decide what autocomplete looks like in your e-shop: you can enrich it with a bestseller list, a list of the most popular products, the most searched phrases or products complementing the one your client searched for; your customers can also see the history of their recent searches - it recognises misspellings and typos in entered entries, which means it give the search results back instead of showing this scary "no results" message - linguistic richness is its advantage, therefore it has no problem with handling synonyms - you can present search results on a dedicated subpage with the option of paging results according to product views or sales, as well as automatic filtering by brand, price or category What's more, thanks to access to QON customer's panel you can: - assess the effectiveness of searches and use the collected data on user behaviour in PPC and SEM campaigns - check detailed statistics such as number of searches, phrases with no results, and search source - control the most important KPIs for your shop, such as CTR, clicks, conversion and sales, thanks to a report of phrases and products - manage synonyms as well as recently searched and most popular terms - use search engine statistics by connecting the website with Google Site Search in Google Analytics I'm waiting for your feedback, don't hesitate to ask questions.