Editorial illustration for Mars leverages Gemini Enterprise to build AI agents accessing century‑old data
Mars Transforms Century-Old Data with AI Agents
Mars has been making candy bars and pet food for longer than most nations have existed. That entire history is buried in files: product formulas, market reports, century-old ledgers. Until recently, that archive was just corporate archaeology. Now it's becoming a company oracle.
The firm is using Google's Gemini Enterprise as its main internal tool. Employees build simple AI agents with it. These bots can read and cross-reference that old data.
A product developer can ask what went wrong with a cocoa blend in 1973. A marketer can trace how pet ownership trends shifted in the 1990s. The data was always there.
Now someone can actually talk to it.
Mars isn't alone in this quiet, practical shift. Other massive companies are wiring AI directly into their old, dusty systems to make them useful.
- *Mars is leveraging Gemini Enterprise as its primary productivity platform, enabling associates to build AI agents that standardize access to over a century of product and consumer data and insights. - Mercado Libre has incorporated semantic search into its digital shopping platforms, using AI embeddings from the Vertex AI Agent Builder, which greatly improved product recommendations and discoverability for more than 200 million consumers across Latin America. - Mercari dramatically improves the user experience for both buyers and sellers on its ecommerce marketplace with Vertex AI and Weights & Biases.
The common thread here is boredom. Not glamour. These projects target the tedious, data-clogged parts of a business.
Mercado Libre made its search less dumb. Mercari smoothed out marketplace friction. They applied new tools to old problems.
The Google blog post links to over a thousand similar cases. This is the real pattern for generative AI right now. It's less about creating something new and more about finally listening to what you already have.
The tech is becoming a utility. The strategy is what matters. The companies winning are the ones asking their history direct questions, and getting answers before lunch.
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Common Questions Answered
How is Mars using Gemini Enterprise to access historical product data?
Mars is leveraging Gemini Enterprise as its primary productivity platform to build AI agents that can standardize access to over a century of product and consumer data. These AI agents enable the company to transform historical archives into actionable insights, making previously hidden information readily available.
What impact has Mercado Libre's AI implementation had on its digital shopping platforms?
Mercado Libre has incorporated semantic search using AI embeddings from the Vertex AI Agent Builder, which significantly improved product recommendations and discoverability. This AI-driven approach has benefited more than 200 million consumers across Latin America by enhancing their shopping experience.
What does the survey of 1,302 generative AI deployments reveal about enterprise AI adoption?
The survey indicates that generative AI is no longer a niche technology, with companies in retail, finance, and manufacturing actively working to transform historical data into valuable insights. Executives are increasingly investing in productivity suites that allow teams to create intelligent agents and uncover hidden patterns in their data.
Further Reading
- Mars partners with Google Cloud to empower global Associates with Gemini Enterprise — Mars
- The new Gemini Enterprise: one platform for agent development — Google Cloud Blog
- AI Agents at Work: How Gemini Enterprise Redefines Enterprise Operations — AvePoint
- How to Use Agentic AI for Business with Gemini Enterprise — Google Skills (YouTube)
- Cool stuff Google Cloud customers built, May edition: Lowe's, Mars — Google Cloud Blog
