How to Fix Product Recommendations for Mid-Sized E-Commerce Stores

Personalization of product recommendations opens a hidden door for online retailers. The first step out of this door is a tangible increase in recommended sales. However, Big Data driven product recommendations leave retailers with more unsolved problems, which can be solved with Progressive Personalization new features. Most burning Big Data problems are: Problem #1: Mathematical Algorithms lose real Personalization A lot of retailers are not comfortable with the current logic of Big Data based recommendations. Products are recommended based on the mathematical algorithms at the heart of the recommendation engine. Yes, many customers, who bought this house plant also bought this...

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