in a press release received by the editor of warta9, Tuesday, April 26, 2022, stated that: In Phase 1, EF Shop improved its web engagement through AIQUA’s multichannel automated marketing that resulted in 4X the subscription rate and 3.6X the active subscriber count of the industry benchmark. In Phase 2, EF Shop used one of AIQUA’s recommendation engines that displays personalized product recommendation at each touchpoint and stage of the customer journey to increase the probability and accelerate the speed of transaction. In Phase 3, EF Shop onboarded five other recommendation scenarios with advanced hybrid algorithms to provide a more detailed personalized recommendation, which performed 3X better than basic recommendation. This indicated that AI product recommendation models that integrate text and images help improve website cross-selling capabilities, more accurately predict the potential needs of customers, create business opportunities and maximize the value of products.