Recommendations: from vanilla to personalization – Part III.
Reading Time: 5 Minutes Read Here’s Part III. of my series about Machine Learning and personalization – read the first article here, and the second one here. How to personalize recommendations Simply recommending specific and relevant products to customers cannot be called “personalization.” To really personalize recommendations, beyond the what question, we need to grasp the bigger picture by addressing […] Recommendations: from vanilla to personalization – Part II.
Reading Time: 5 Minutes Read Here’s Part II. of my series about Machine Learning and personalization – read the first article here. Recommendations are not as vanilla as you may think When building a recommendation engine, the very first question to address is the What: what to recommend? What products would fit our customers’ tastes or needs? A lot of […] Recommendations: from vanilla to personalization – Part I.
Reading Time: 4 Minutes Read In this post, we discuss a prominent topic: How artificial intelligence (AI), and especially personalization can better serve customer experience – either your customers’ experiences or your experience as a customer. As a Data Science Architect at Aliz and a former Senior Data Scientist in the Market Research industry, I’ve handled many companies’ Recommendation Engines […] How to Maximize the Potential of Machine Learning in Retail
Reading Time: 6 Minutes Read For decades retail companies have been exploiting analytics within the different segments of their businesses, including marketing and operations. Such analytics are dusty, however, and have now come to an end. Traditional analytical methods are outdated; they require a lot of manual steps and the insights extracted cannot be easily generalized. Using analytics ultimately provides […] 