Observed Signal · Oct 9, 2026 · Partnership · Source: AdExchanger · Impact: 3/5 · Sentiment: Positive
Nestlé Mexico Unifies Data with AI Platform
At Treasure AI's Agentic World event in Miami, executives from Nestlé México discussed how the CPG giant, which reaches 90% of Mexican households and owns over 70 brands, unified its customer data to break down silos. Partnering with Treasure AI, an agentic experience platform, Nestlé México now connects its CRM data and hashed data from Amazon's clean room to identify duplicate customers and understand cross-brand interests. Using engagement signals, the company's La Lechera brand segmented audiences into traditionalists, experts, and explorers, leading to a campaign with nearly double the open rate. By prompting AI agents, Nestlé México can target smaller brands' customers by leveraging data from larger ones like KitKat, enhancing personalization and holistic targeting.
Demonstrates how a major CPG advertiser uses an agentic AI platform to unify customer data and improve targeting, showcasing practical application of AI in marketing, which is relevant to the AdTech industry.
Track Treasure AI Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Nestlé México reaches 90% of households in Mexico and owns over 70 brands.
- Nestlé México partnered with Treasure AI, an agentic experience platform, three years ago.
- Nestlé México uses hashed data from Amazon's data clean room for purchase insights.
- A La Lechera campaign achieved nearly double the open rate compared to the previous baseline.
- Treasure AI's agentic platform enables cross-brand targeting using data from brands like KitKat.
Connected Companies & Entities
2 Entities mapped“Three years ago, Nestlé México opted to partner with Treasure AI....”
“It also has access to hashed data from Amazon’s data clean room....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Nestlé Revolutionizes Marketing with AI-Driven Workflows
Nestlé is integrating AI into its marketing and sales operations by rebuilding underlying systems and deploying AI-enabled tools. The company completed the first phase of a global upgrade to SAP S/4HANA Cloud Private Edition, covering more than 50,000 users across 112 countries, with full deployment expected within two years. The new platform embeds SAP’s AI copilot to surface insights and automate routine tasks. In 2025 Nestlé launched an AI-powered content service that uses digital twins—built with tools including NVIDIA Omniverse and OpenUSD—to generate adaptable product visuals for e-commerce and digital media, supporting brands such as Purina, Nescafé Dolce Gusto and Nespresso. Nestlé frames the work as fixing data and workflow foundations first, then building AI capabilities that accelerate content production, lower costs, and enable more data-ready marketing operations.
Nestlé on Building Brands for Humans and AI
In a Brave Commerce podcast episode, Stefan Kovačević, Nestlé’s global retail media and digital shelf lead, discusses how AI is reshaping discovery, evaluation and purchase paths. He argues brands must earn trust from both people and AI-driven recommendation systems, introducing the concepts of “human equity” and “machine equity.” Kovačević also says operational excellence now affects brand perception and that emotional connections may become a key differentiator as routine purchases become automated. The conversation was hosted by Rachel Tipograph and Sarah Hofstetter.
Hershey Uses AI Agents to Modernize MMM
Hershey is partnering with analytics firms Mutinex and Tracer to automate and accelerate marketing mix modeling (MMM) using agentic AI. Mutinex’s multi-agent system, underpinned by Claude and Google’s Gemini models, combined with Tracer’s data-cleaning infrastructure, lets Hershey run MMM in as little as three weeks and move from quarterly/triannual analyses to monthly measurement across its brand portfolio. Hershey expects the shift to increase media-attributable revenue by about 4–5% and to enable faster, investment-style decisions across roughly $2+ billion of combined media and trade spend. Company leaders cite data readiness as a key constraint and position agentic AI as a way to compress timelines and improve model reliability.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.
