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Mars Gemini Enterprise AI agents accessing century-old data for historical analysis and insights.

Editorial illustration for Mars leverages Gemini Enterprise to build AI agents accessing century‑old data

Mars Transforms Century-Old Data with AI Agents

Mars leverages Gemini Enterprise to build AI agents accessing century‑old data

2 min read

Why are centuries‑old product catalogs suddenly becoming the playground for modern AI? Companies across retail, finance and manufacturing are racing to turn dusty archives into actionable insight, and a recent survey of 1,302 real‑world generative‑AI deployments shows the trend is no longer niche. Executives are betting that a single productivity suite can let teams stitch together intelligent agents, pull together disparate data streams and surface patterns that were previously hidden in paper files or legacy databases.

The promise is clear: faster decision‑making, fewer manual hand‑offs and a more uniform view of consumer behavior that spans generations. Yet the challenge lies in standardizing access to that massive historical trove without drowning in complexity. That’s the backdrop for a move that many insiders are watching closely.

— *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.*

- *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.

Has the agentic enterprise truly arrived? The Transform with Google Cloud blog marks two years since it first published 1,302 real‑world generative AI use cases, a list that now includes Mars and Mercado Libre. Mars is using 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 to surface relevant items. Yet the broader impact of these agents on daily workflows remains unclear. The article notes enthusiastic customer commitment, but it offers no metrics on efficiency gains or cost reductions.

Consequently, while the catalog of use cases continues to expand, whether the promised productivity translates into measurable outcomes is still uncertain. The updated list, refreshed on April 22 2026, reflects ongoing interest, but readers are left without a clear benchmark for success.

Further Reading

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.