Recommender Engines


Recommender Engines

You have more information about your customers than ever before. You can follow their purchase behavior over time, see how they navigate your website, follow their activities on social media, even track their movements inside your store. Meanwhile, customers are expecting a more personalized experience – both on the web and in brick-and-mortar stores. If you’re not leveraging the customer data that you are collecting to give your customers the customized treatment that they expect then you are falling behind your competition.

Mosaic Data Science can bring the power of recommender engines to your business. Using cutting-edge techniques for collaborative, content-based, and knowledge-based filtering along with the demographic and behavioral data on your customers, Mosaic can personalize your business’s customer experience through:

  • Personalized upsell recommendations: “You might also like…”
  • Personalized marketing and offers
  • Individualized search results
  • Web ads with maximum relevance
  • Custom web content

Our solutions can scale to millions – or tens of millions – of customers, and we can leverage your big data infrastructure to generate real-time recommendations on the fly. By integrating with location sensors and proximity analytics, recommender engines can push personalized offers and information based not just on who your customers are, but where they are, too.

Recommender engines give your customers an experience that is more directly relevant to their needs and allows you to drive more revenue from your existing customer base. Mosaic can help you extract that value from the data you are collecting. Across industries – B2B sales, consumer retail sales and marketing, social media, online advertising – our data scientists have the knowledge and skills to develop recommender engines that give your customers more of what they want and less of what they don’t.