When Composable Commerce Meets AI-Ready Product Data: How Coda Built a Global Commerce Foundation with PIM
Niclas Suominen
Account Executive (Akeneo)
Join this session to discover how Recharge (now part of Coda) built a scalable global commerce foundation by combining composable architecture with AI-ready product data. Recharge operates as an e-commerce brand/vendor selling products directly to consumers, which positions them as an end customer rather than a supplier in this context.
As growth across 180 countries pushed their legacy platform to its limits, Recharge replatformed to a composable stack and implemented Akeneo PIM as a single source of truth for product data, enabling greater flexibility, faster updates, and consistent experiences across markets.
In this session, you’ll learn how they designed and rolled out their new architecture, the business impact achieved, including improved time-to-market and conversion, and why investing in structured, AI-ready product data is key to future commerce success.
Roosevelt Santos
Group Product Manager (Coda)
Join this session to discover how Recharge (now part of Coda) built a scalable global commerce foundation by combining composable architecture with AI-ready product data. Recharge operates as an e-commerce brand/vendor selling products directly to consumers, which positions them as an end customer rather than a supplier in this context.
As growth across 180 countries pushed their legacy platform to its limits, Recharge replatformed to a composable stack and implemented Akeneo PIM as a single source of truth for product data, enabling greater flexibility, faster updates, and consistent experiences across markets.
In this session, you’ll learn how they designed and rolled out their new architecture, the business impact achieved, including improved time-to-market and conversion, and why investing in structured, AI-ready product data is key to future commerce success.
Join this session to discover how Recharge (now part of Coda) built a scalable global commerce foundation by combining composable architecture with AI-ready product data. Recharge operates as an e-commerce brand/vendor selling products directly to consumers, which positions them as an end customer rather than a supplier in this context.
As growth across 180 countries pushed their legacy platform to its limits, Recharge replatformed to a composable stack and implemented Akeneo PIM as a single source of truth for product data, enabling greater flexibility, faster updates, and consistent experiences across markets.
In this session, you’ll learn how they designed and rolled out their new architecture, the business impact achieved, including improved time-to-market and conversion, and why investing in structured, AI-ready product data is key to future commerce success.
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