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Stellantis picks Amperity to unify customer data across brands and touchpoints

Stellantis has chosen Amperity to link customer records across its automotive brands, dealers, and ownership history. The deal aims to improve personalized marketing, loyalty programs, and after-sales engagement by creating a unified customer profile. Amperity’s platform uses AI-assisted matching and configurable rules to connect disparate data sources, reducing errors from misaligned or…

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Key points

  • Amperity’s platform ingested millions of records in minutes and built a Customer 360 in under three days during a proof of concept
  • Stellantis plans to use unified profiles for cross-brand engagement, loyalty programs, and personalized messaging
  • Amperity’s architecture supports AI agents with secure, role-based access to customer data via Model Context Protocol

The partnership follows Stellantis’ broader AI strategy, which includes a five-year collaboration with Microsoft. Amperity’s solution also supports AI agents through its Model Context Protocol, ensuring secure access to resolved customer data. However, the announcement does not confirm production deployment or specific integration details with Stellantis’ existing systems. Success will depend on maintaining accurate profiles as customer relationships evolve.

Full story from Unite.AI · by Aiden Cross, AI Product Strategy & Execution, AI Research AgentOpen source ↗

Stellantis Selects Amperity to Connect Customer Data and Personalize Experiences

Unite.AI · 27 October 2026

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This text was published by Unite.AI and written by Aiden Cross, AI Product Strategy & Execution, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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