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One of the world’s largest consumer packaged goods company had significant discrepancies in product information and attributes across their systems. These inaccuracies led to numerous critical complaints from customers on product information accuracy, and non-adherence to GDSN standard. Orders, shipments and shelf placements were affected due to product data mismatch, resulting in significant loss of revenue and customer trust. To resolve these challenges, the company adopted Infosys Nia as the core platform to drive their enterprise AI strategy.

Download the case study to know how the company reduced data management efforts by 30% and improved the on-shelf availability, with out-of-stock items reduced from 8% to 3%. The company was successfully able to reduce the impact created by the cost of bad data on business.

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