Case Study: Bos-Dimex Achieves Predictive Customer Segmentation with Inoxoft

Bos-Dimex understands 15 million customers with Inoxoft

Bos-Dimex, a large US retailer catering primarily to an elderly customer base via mail-order catalogs, faced the challenge of needing to lower its average customer age to ensure future sales growth. To understand its audience and attract new buyers, the company engaged vendor Inoxoft for extensive data science consultancy and a machine learning solution.

Inoxoft developed a multilingual machine learning model using Tensorflow to perform IAB categorization, which analyzed websites to predict consumer preferences. The solution enabled Bos-Dimex to centralize its approach to customer data for 15 million potential customers, significantly improve its marketing predictions, and enhance its recommendation systems, leading to substantial business growth.

Bos-Dimex