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Recommendation Engines

Recommendation Engine

Case Study

Omnichannel Marketing for personalised Customer Experiences

Every year, the portfolio of the omnichannel retailer HSE24 includes more than 20,000 articles from the fashion, jewelry, cosmetics, wellness, household and home & living segments. Given this product variety, the company has been using SAP Marketing Recommendation since 2018 in order to offer its customers the best possible customer journey through all channels and at all touchpoints.

Shopping Experience
Using Deep Learning and Knowledge Graphs to anticipate customers’ needs 0

Recommendation Systems

Best Practice

Using Deep Learning and Knowledge Graphs to anticipate customers’ needs

There is no mystery behind traditional collaborative algorithms: they simply try to suggest similar content to what we have previously watched, or what other users with similar tastes to us have been watching. Yet we can go even further using Deep Learning and Knowledge Graph methods that leverage contextual and unstructured data.