Adastra leveraged Microsoft Fabric to create a scalable, robust data analytics solution that helped Heritage Grocers Group maintain high-quality customer service during a period of rapid expansion.
Rapid expansion introduces new layers of complexity for any business, especially when high customer standards remain a top priority. Between 2022 and 2024, Heritage Grocers Group did just that thanks to several strategic acquisitions. Operating in six states and specializing in catering to Hispanic communities under banners such as Los Altos Ranch Market, Cardenas Markets, El Rancho Supermercado, and Tony’s Fresh Market, the company found itself growing fast. With this growth, however, came the need for a scalable, robust way to manage and analyze vast amounts of data—one that could account for the unique purchasing preferences of diverse communities and geographic locations while maintaining high data consistency and availability.
Enter Adastra, a data analytics and IT consulting company and Microsoft partner with a proven track record in analytics, business intelligence, AI, and process automation. With specializations across Data & AI, Infrastructure, and Digital & App Innovation and a 2024 Partner of the Year Award for Data & AI (Americas), Adastra was uniquely positioned to help Heritage Grocers Group overcome their data challenges. Together, they embarked on a journey to transform how the group collects, organizes, and analyzes data, leveraging cutting-edge technologies like Microsoft Fabric and Azure OpenAI Service.
Maintaining high standards of quality while expanding operations
To maintain high quality standards and customer satisfaction across various geographic locations and customer segments throughout the acquisition process, Heritage Grocers Group recognized the need to better understand their customer data. With each newly acquired banner came large swaths of point-of-sale (POS) data from various enterprise resource planning (ERP) systems across their portfolio—and, with each banner catering to slightly different clientele and running its own reports with no standardized models or definitions, Heritage Grocers Group recognized the need for a solution that could gather, organize, and analyze vast amounts of POS data across a wide portfolio and ultimately unify their data estate and ability to generate predictive analytics.
Prabash Coswatte, Chief Operating Officer of Heritage Grocers Group, said, “Understanding the unique purchasing preferences of the Texas customer compared to those of Tony’s in Chicago is crucial. The quicker we grasp this, the better we can cater to each community’s needs.”
After being introduced at an event co-hosted by Microsoft, Heritage engaged Adastra to develop a scalable solution that would effectively organize large amounts of data with high availability and consistent, high-fidelity results that could process years of historical data and scale and flex with any future changes. Adding to the complexity was the timeline—Heritage recognized that while a regular engagement of this size could take a year to 18 months, they needed to get it done in six months—and the sheer volume of data, which was in the terabytes.
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