Elastic Move Case: Cleaning Master Data

Not having enough control over your master data can lead to various problems, like inaccurate reports, poor decisions, breaking compliance rules, and operational inefficiencies. For instance, inconsistent data can lead to incorrect product specifications, which not only frustrates customers but can also result in costly legal repercussions.

Our client was facing exactly these kinds of challenges. They were struggling with duplicate data and discrepancies in volume comparisons between their ERP system and other business critical connected systems. These issues had severe implications, including fines stemming from the use of incorrect data in the Bill of Materials (BOM) for delivered products.

To solve these challenges, Elastic Move used advanced large language models to analyze the data, find the issues, and clean up the data. By using AI that combined its knowledge of Python programming and language understanding, the models quickly identified and fixed discrepancies across hundreds of thousands of articles in just a few hours. This solution not only fixed the immediate problems but also set the stage for the company to use more AI-driven solutions to gain better insights and improve production planning, forecasting, and other areas.

This case study shows how generative AI can handle large amounts of data in different formats and provide solutions that are easy for people to understand. By using AI, the company improved data accuracy, increased efficiency, and achieved better business results, demonstrating the significant benefits of AI in business processes.

Benefits for the Customer:

• Improved Data Accuracy: Significant reduction in data discrepancies between other business critical connected systems and ERP systems, leading to more reliable business operations.

• Increased Operational Efficiency: Faster identification and resolution of data issues, saving time and resources.

• Regulatory Compliance: Prevention of fines and legal issues by ensuring correct data is used in critical documents like the Bill of Materials (BOM).

• Enhanced Decision-Making: More accurate data leading to better strategic decisions in production planning and forecasting.

• Scalability and Future-Proofing: Foundation laid for the integration of more AI-driven solutions, allowing the company to continuously improve and adapt to changing business needs.