Case Study: a major food company enhances supply chain optimization with Quantzig's big data analytics

How a Food Industry Player Benefitted from Infusing Big Data Insights into their Decision Making Process

Quantzig worked with a major food company headquartered in the US that was struggling to make sense of the huge volumes of structured and unstructured data coming from its online platforms and loyalty program. The company needed a better way to uncover customer buying patterns, improve satisfaction, reduce churn, and build a more personalized offering, while also creating an analytics-driven roadmap for enterprise-wide adoption.

Quantzig implemented a big data analytics operating model in three phases: assessing the business problems, defining relevant data mining and analytics techniques, building a foundation of industry insights and operating processes, and then training the client to use analytics in day-to-day decisions. This cross-functional approach helped the customer track usage patterns, improve customer experience, and develop new product offerings, ultimately delivering millions in operational cost savings along with additional revenue and profit gains from stronger analytics capabilities.