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United StatesRetail and e-commerce2024 – ongoing

Heritage Grocers Group

Lucid Data Hub on Microsoft Fabric for point-of-sale data

Heritage Grocers builds a POS data hub in two months and reports at least $500,000 saved

WorkingVendor's case studyVendor ↗

Problem

The chain grew to 115 stores through acquisitions, and point-of-sale data came from varied ERP systems. Traditional data organization was too slow, and leaders needed fast access to sales data.

Approach

Heritage worked with the consultancy Adastra to build a central data lake with Microsoft Fabric. Azure OpenAI Service automated the classification of three years of historical data. The goal was under six months, against a typical 18 months or more for a project this size.

Results

$500,000savings (at least), attributed to the Lucid Data Hub and Microsoft solutionsVendor's case study[1]
3 billionitem transactions analyzed, from 1.3 terabytes of point-of-sale dataVendor's case study[1]
2 monthstime to implement, against a target of under six monthsVendor's case study[1]

Takeaway

Automating the classification of historical data shortened the build. Heritage and Adastra claimed savings of at least $500,000 without providing a breakdown.

Categories

Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor's case study

Sources

  1. Heritage Grocers Group: Microsoft Fabric
    Microsoft Customer Stories24 Feb 2025Vendor publication

Source summaries

[1]Microsoft Customer Stories24 Feb 2025

Microsoft described how a grocery group in six US states centralized point-of-sale data after acquisitions. It reported build time, data volume and savings.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026
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