The Results
Merchandising Cloud’s fast and reliable autocomplete solution in operation on Lagerhaus’ Jetshop-powered store.
Other aspects include Natural Language Processing – the search being able to tell the difference between products and attributes.
An effective search should also include spelling tolerance, ensuring shoppers get relevant results even if they make a typo, and a zero results workaround – ensuring relevant products come up even if the exact query searched for is not present.
Personalization is all about the AI algorithm which analyzes the behavior of the shopper and learns, in real time, what their preferences are – search results are ranked in order of preference. So, if the algorithm learns the shopper frequently needs LED lights, or has a preference for a certain color, this is what they will see more of.
Merchandising Cloud’s Smart Collections solution, meanwhile, includes personalized product ranking, dynamic filters, and the ability to create merchandising rules.
It is possible to customize almost every aspect of the solution: product card look and layout, information contained on product card, layout of the filters, the filtering options and color swatches, and much more.
It is also possible to integrate with other complementing solutions here (and, indeed, across all three Merchandising Cloud solutions) such as wishlist functionality, badges & reviews – while at the same time keeping the solution running at a lightning fast pace.
Finally, the Recommendations solution identifies ‘Hot Sellers’, ‘Recently Viewed Items’, ‘Frequently Bought Together’, ‘Customers Who Viewed This Ultimately Bought’, and ‘Newest Products’. This reliable ecommerce tool allows retailers to maximize their online store’s upsell and cross-sell capabilities without having to manually curate the products shown.
The full suite also includes advanced analytics, which enables merchants to better understand the behavior of their shoppers by giving them access to extremely valuable, trustworthy, and actionable, insights.
