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Our client wanted to recommend personalised product bundles to its e-commerce customers in order to increase Average Order Value (AOV). The Datatonic team implemented a deep recommender system which is capable of finding the best products to serve to users when they buy a high-value product. Predictions were based on historical browsing behaviour & transactional data both for new and returning users.
Fully automated and serverless pipeline
Batch recommendations served in real-time to enable customization of live browsing sessions
If there’s data, we can optimise, innovate with and automate it to drive business value. Find out how we’ve supported the biggest brands across industries.
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.
If you are a retail business and want to better understand your customers to provide them with personalised content and recommendations, get in touch to discuss a free trial to jumpstart your personalisation journey in four weeks.