{"id":17143,"date":"2020-11-30T09:16:28","date_gmt":"2020-11-30T08:16:28","guid":{"rendered":"https:\/\/www.predictland.com\/casos-de-exito\/product-recommender-with-360-customer-analysis\/"},"modified":"2025-02-17T16:16:51","modified_gmt":"2025-02-17T15:16:51","slug":"product-recommender-with-360-customer-analysis","status":"publish","type":"caso-de-exito","link":"https:\/\/www.predictland.com\/en\/case-studies\/product-recommender-with-360-customer-analysis\/","title":{"rendered":"Product recommender with 360\u00b0 customer analysis"},"content":{"rendered":"\n
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PredictLand designs a solution to optimize sales for Grupo Editorial Edelvives, through a recommendation system that analyzes purchasing behavior and customer profiles.<\/p>\n\n\n\n

Customer<\/h2>\n\n\n\n

Edelvives <\/a>is a publishing group with more than 130 years in the educational sector, which offers rigorous educational material based on values, innovation and new technologies while accompanying the cultural growth of children and adults with an excellent literary bet.<\/p>\n<\/div>\n\n\n\n

\n
\"Edelvives<\/figure>\n<\/div><\/div>\n<\/div>\n\n

Challenge<\/h2>\n\n

Edelvives wanted to have a more efficient sales force and, to this end, it proposed a 360\u00b0 analysis of its customers in order to:<\/p>\n\n

    \n
  • To know them better, as well as their buying behavior, both for prescription and direct sales.<\/li>\n\n\n\n
  • To be able to anticipate to each salesperson which product is the most likely to be successful in each visit.<\/li>\n\n\n\n
  • Know in advance which schools are most likely to sell their new texts.<\/li>\n<\/ul>\n\n

    Solution<\/h2>\n\n

    The challenge is addressed with the design of an Artificial Intelligence solution that is capable of segmenting customers by multiple characteristics, both internal and public data.<\/p>\n\n

    The solution is to make a recommendation of which products have a higher probability of success for a given customer; and a recommendation of which customers have a higher probability of success for a given product.<\/p>\n\n

    The solution is able to recommend both products with sales history and new products. With this development, a better knowledge of customers and their buying behavior is obtained, so that sales processes are more efficient, and a percentage of probability of purchase of certain products is available to help determine the visits of the sales network. <\/p>\n\n

    Testimonial<\/h2>\n\n

    C\u00e9sar Arbiol<\/strong>Corporate Systems, Development and Market Research Manager at Edelvives<\/p>\n\n

    \n

    “Since we started having a relationship with PredictLand back in September 2018, a relationship of great trust was established with them. We clearly saw that PredictLand was the right Partner to help us become a “Data driven” Company.<\/p>\n\n\n\n

    Their advice and initial support strengthened that mutual trust and established the steps to get down to work. With various trainings and sessions, we managed to get the whole organization to “speak the same language”, taking into account more and more Advanced Data Analytics to make better business decisions. <\/p>\n\n\n\n

    Having carried out the first phases of several projects, I would highlight the great professionalism of all its members, their closeness, their orientation to the client, the business and the results, as well as their very high technical capabilities and their great flexibility to adapt to each new situation that we have raised on the fly, with an immediate reaction and an excellent level of service”.<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

    PredictLand designs a solution to optimize sales for Grupo Editorial Edelvives, through a recommendation system that analyzes purchasing behavior and customer profiles. Customer Edelvives is…<\/p>\n","protected":false},"author":4,"featured_media":16046,"menu_order":12,"template":"","class_list":["post-17143","caso-de-exito","type-caso-de-exito","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nProduct recommender with 360\u00b0 customer analysis - PredictLand AI<\/title>\n<meta name=\"description\" content=\"Successful case of AI applied to Big Data for EDELVIVES - Grupo Editorial Luis Vives. 360\u00ba analysis of customers.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.predictland.com\/en\/case-studies\/product-recommender-with-360-customer-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Product recommender with 360\u00b0 customer analysis - PredictLand AI\" \/>\n<meta property=\"og:description\" content=\"Successful case of AI applied to Big Data for EDELVIVES - 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