What is "generative AI × product data" that Walmart is focusing on? A business process improvement method that boosts productivity 100x.

In recent years, along with the evolution of generative AI, corporate business processes have changed dramatically. In particular, the news that Walmart used product data and incorporated generative AI, achieving a 100-fold increase in productivity in catalog management has had a major impact on manufacturers, brands, and retailers around the world. What this case made clear is that combining generative AI with product data has the potential to greatly expand the value companies create. In this article, we explain in detail the “importance of product data” and the value created by “product data × generative AI × platform.”

The Importance of Product Data

The product data that companies handle—namely, “product data”—is not limited to simple product information. It includes vast amounts of data such as product features and attribute information, product descriptions, specifications, pricing, review information, and supply chain information. When this product data is properly managed and utilized, it provides customers with a more appealing experience while also creating significant business opportunities for companies.

For example, up-to-date and accurate product data affects search results when consumers look for products online. If incorrect information or defective data exists, consumers are more likely to refrain from purchasing. Product data also contributes to inventory management and logistics optimization, helping reduce wasteful costs and achieve efficient delivery.

Properly managing and utilizing product data is a key to helping companies maintain—and even improve—their competitiveness throughout the entire product lifecycle.

The Integration of Product Data and Generative AI

As the Walmart case shows, the integration of product data and generative AI dramatically improves corporate productivity. Generative AI is a powerful tool for automating conventional business processes and significantly reducing employees’ workload.

Specifically, generative AI can automatically handle tasks such as product data entry, product description creation, and even filling in missing information. Traditionally, these tasks required manual verification, but by using generative AI, it became possible to process large volumes of data accurately in a short period of time. As a result, employees can focus on more creative work, and overall operational efficiency improves significantly.

In addition, because generative AI continues learning at all times, it becomes capable of handling increasingly advanced tasks as business improvements are repeated. AI-generated suggestions based on accumulated data also help predict consumer behavior and market trends, making it easier for companies to discover new business opportunities.

The Value of Lazuli's Product Data Platform

Lazuli’s product data platform (Lazuli PDP) is an important foundational service that supports the use of generative AI and product data. Lazuli PDP integrates global product information and structures the vast amounts of data held by companies, dramatically improving data management and utilization. This enables companies to always have accurate and up-to-date information and to optimize marketing and supply chains.

Lazuli PDP also functions as an important tool for maintaining product data consistency across a wide range of industries, including manufacturing, distribution, and retail. By preventing data silos and providing the same information to customers across all channels, it improves the consumer experience and enhances corporate trustworthiness.

In particular, using a platform automates product data entry and updates, resolving the problems of data management and data preparation that traditionally relied on manual labor. This reduces concerns and workload related to data consistency, allowing companies to focus on more strategic decision-making.

Future Business Process Reform Through Generative AI

The collaboration between generative AI and product data platforms will bring transformation to even more business processes in the future. It is expected that generative AI will be used in a wide range of fields, from product information management to marketing strategy development, improved customer engagement, and even supply chain optimization.

In this process of evolution, the volume and accuracy of product data will become increasingly important. It is clear that platforms for centrally managing and effectively utilizing data are essential. By using generative AI based on automatically enriched data, product data platforms will further enhance corporate competitiveness by advancing business automation.

Conclusion

The integration of product data and generative AI has the power to fundamentally transform corporate business processes. The Walmart case is just one example, and there is no doubt that product data platforms like Lazuli will shape the future of data management in companies.

Generative AI is not merely a tool for improving efficiency; it also supports strategic decision-making using data and dramatically boosts overall corporate productivity. Accurately and effectively managing product data is the key to maintaining competitive advantage, and Lazuli PDP strongly supports making that a reality.

In product information data management, fully leveraging the value provided by generative AI and product data platforms to evolve business processes is the first step toward future business success.

Here is a case study of Beisia's use of e-commerce in its online supermarket:
https://corporate.lazuli.ninja/case_study/beisia/

https://corporate.lazuli.ninja/case_study/beisia/