Apptus eSales draws on big data and machine learning to constantly tune exposure strategies aligned to wider conversion, revenue and profit driven goals. There’s no need to rip and replace. Apptus eSales works with your existing eCommerce platform to transform previously reactive, manual and rule-based merchandising.
It enables automated, predictive merchandising that works with even the biggest product ranges to display the right products in the right context at the right time.
Optimise your online store according to business objectives like margin, profitability and the ability to react to shopping trends in real time.
Automate repetitive and time-sensitive aspects of online merchandising. Free your merchandising specialists to focus on strategic and creative activities.
Apptus eSales is available via a best of breed, secure cloud environment, to deliver outstanding performance at a lower cost.
Apptus eSales uses machine learning and big data analytics to understand every customer interaction in real time and adjust product exposure to deliver individually relevant shopping experiences.
Apptus is proud event sponsor to the IMRG Fashion Connect Conference and we are on site at the One America Square in London! Please reach out to Andre[...]
Apptus eSales data shows online retailers coped with 10,000 QPS (queries per second) and enjoyed 100% service availability on retail’s most demanding [...]
18-24 year olds almost universally buy fashion online AND they want a low-friction, deeply personalised experience, not ‘hard sell’ conversion tactics[...]
August 30th, Apptus’ head of research, Mikael Hammar (picture), will be joining fellow computer scientists to present an industry session on algorithm[...]