Heritage Grocers Group: Significant Improvement in Acquisition Speed Using Lucid and GenAI
Heritage Grocers Group required a tool that would democratize and organize their data and make it uniform and readable.
faster data acquisition
reduction in PoS data onboarding time
increase in development speed
cost savings
Challenge
Organized and Democratized New Data from Recently Acquired Stores
Heritage Grocers Group supports several operating banners, each of which are major large ethnic/Hispanic grocery chains operating within the United States. In the last year, the company underwent a strategic growth initiative, resulting in the rebranding and/or folding of certain banners into their structure, which included data migration and integration.
The company grew substantially in just one year. With this level of growth, the organization was preoccupied with ensuring that their data-driven culture was sustainable. To this end, they were primarily focused on creating a platform that would democratize their data, migrate to new environments and provide consistency within the data sets.
Solution
Swiftly Built a Successful Data Lake Platform to Automate Manual Processes and Organize New Data
While our client was successful in its strategic growth initiative, they wanted to improve their current framework to process, organize, and employ all the new data being generated.
When two decision-makers at Heritage Grocers Group’s special projects team heard about the benefits of Lucid, its capabilities, and how it works alongside Microsoft apps and Fabric, they were intrigued. As they learned more, our client was impressed by what Lucid Data Hub’s technology can offer.
Lucid Data Hub is a Modern GenAI Era Data & Analytics Management platform that empowered Heritage to explore and curate their data comprehensively by accelerating data engineering and analytics tasks in just two months timeframe. This is significantly quicker than the lengthy multi-month traditional approaches.
Lucid Data Hub allows for more efficient & fast data profiling, mapping, modelling, data engineering and analytics. It empowers organizations to explore and curate their data comprehensively. Using GenAI, Lucid, and Language Model (LLM)’s powered by Azure Open AI, the client received a fully customized enterprise Data Lake in Fabric to universalize automation.
The Lucid Data Hub:
- Automated the data sorting process.
- Enabled the client to process hundreds of types of PoS transaction events.
- Successfully able to process and analyze billions of sales transactions from a multitude of stores across several US states.
Collaboration between Adastra, Heritage Grocers Group, and the Microsoft team contributed to the success of this project. Overall, the generative Data Lakes, powered by the Lucid Data Hub, allowed for more efficient data ingestion. The Data Lakes also automated source data analyses; source data profiling; data modeling; data mapping; data load; analytics models; and analytics calculations.
Impact
Automated Acquisition Process, Organized New Data and Optimized Transaction Data
Adastra’s solution has set Heritage Grocers Group up to generate and implement Data Lake platforms using Lucid Data Hub, GenAI and Microsoft Fabric. These solutions will help the client’s company continue to automate and speed-up strategic processes and organize their data to maximize its readability and useability. The solution also delivered an impressive increase in development speed, cost savings, rapid data preparation, and faster BI Ready.
The client achieved the following results:
- Significant improvement in data acquisition speed using Lucid and GenAI.
- Processed terabytes of POS transaction data from the last several years.
- Billions of item transactions over many supermarkets.
- Substantial reduction in turn-around time for POS data onboarding.
- Increased development speed.
- Significant cost savings.
In the future, the client wants to continue leveraging their Data Lakes to automate the data processes to maximize its potential. Future use cases include HR transactional systems, financial systems, ERP systems and additional commercial and supply chain data sets.
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To stay competitive in a rapidly changing marketplace, many organizations are eager to accelerate processes and reduce time spent on tedious manual tasks. To achieve optimal results, Azure OpenAI should be combined with quality data, context training, security, and technical expertise. Leverage Adastra’s 20+ years of experience transforming businesses with artificial intelligence and machine learning and the scalability of Azure’s infrastructure to unlock the full potential of generative AI. To learn more about Adastra’s services, contact us today.
