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A new kind of recommendation engine
Data Reply increased the sales of a B2B food wholesaler with a special machine learning solution.
The challenge
How can a recommendation engine predict more reliably what a customer might need, but has not yet bought?
The idea
An expanded database
For a wholesaler who sells food to restaurants, we at Data Reply developed a new kind of recommendation engine. Normally, applications like these use data exclusively from the internal warehouse in order to generate product recommendations on this basis for the customers. In addition, our special recommendation engine also uses information from the Internet and in this way facilitates more tailor-made recommendations.
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How we did it
Better recommendations thanks to web crawlers and MLOps
A web crawler looks for general information about restaurants, such as their menus, for our special recommendation engine. At the same time, it also collects data that reveal what was purchased from other wholesalers for the restaurant. This special database has the potential to raise product recommendations to a new level. But only the following measures and MLOps techniques enabled us to exploit this potential.
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The results
More sales, lower marketing costs
Our new recommendation engine has many advantages for food wholesalers: the better tailored recommendations do more than just boost customer satisfaction and as a result sales. They simultaneously also permit more targeted marketing measures, thus lowering advertising costs. Thanks to the knowledge of what was bought for restaurants in other shops, the wholesaler was also able to expand his product range.
All of these advantages convinced the food wholesaler: the recommendation engine is currently in use in Germany and Poland. However, the rollout in Croatia, Portugal, Austria, Hungary, Romania, France, Italy, Spain and the Netherlands will follow soon.
As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.