Case Study: a Fortune 500 electronics retailer saves over $10 million annually with AIM Consulting's data-driven Parts Recommender

Fortune 500 Electronics Retailer saves over $10 million annually with AIM Consulting Group

A major fortune 500 electronics retailer faced a significant challenge with its electronic repair services. Inconsistent product diagnostics and a lack of standard procedures were leading to incorrect part orders, increased labor costs, and customer frustration. The retailer engaged AIM Consulting to address these issues and streamline their operations.

AIM Consulting built a centralized custom Parts Recommender analytics solution on Azure infrastructure. This tool leveraged historical repair data to provide accurate, data-driven parts recommendations to service agents. The solution implemented by AIM Consulting saved the client over $10 million annually in labor and parts costs, while also improving the customer experience and operational efficiency.