You don't need big data to create unique and satisfying customer experiences. Our proprietary AI predicts each online shopper's needs, using their unique preferences and in-session intent to personalise their experience in real-time.
Loop54 uses unique customer preferences and real-time purchase intent to build one-to-one personalisation. While purchase intent may change between sessions, preferences do not. Loop54 uses both to personalise within and between visits.
The engine will rank search results and category listings in real-time based on a visitor’s unique preferences (e.g. brand, gender, size, etc.).
The engine will rank search results and category listings in real-time based on a visitor’s unique session intent. Intent is determined by analyzing the area (context) of the catalogue in which the visitor is browsing and searching.
Personalise your search and category navigation
We personalise two key parts of the customer experience: category listings and product search. Whether customers go directly to your search box, casually browse categories or both, we make sure that what they see is relevant and timely.
Help visitors quickly find what they're looking for
It learns as visitors move between search and browse
“Loop54 not only helps our customers find what they’re searching for, they’ve also helped us in creating a foundation for a personalized shopping experience”
Niklas Schuster, CIO at Coop Online
“Loop54 provides an unprecedented degree of search relevance. It’s the reason our sales from search visits have increased dramatically. Our conversion rate from search visits is now 5 times that of visits without search and AOV is 75% higher.”
Oscar Lavas, CEO at Kontorsmagasinet
Succeed like so many others
Increased revenue from search
Reduced search exits
Increased online revenues
Using our customers as examples, we'll demonstrate how we personalise the search and navigation experience, and automate all merchandising work.