Retail AI Council Launches Shopper Context Protocol for Agentic C
Edited by Debra John — February 2, 2026 — Tech
This article was written with the assistance of AI.
References: retailcustomerexperience
The Retail AI Council introduced the Shopper Context Protocol (SCP), a cross-industry framework designed to keep customer relationships central as AI-driven shopping evolves. The retailer-led group created SCP to give shoppers more control over how their preferences, behaviors, and shopping history are shared with AI systems.
SCP was announced alongside the formation of the Shopper Context Protocol Working Group, which brings together stakeholders from across the retail ecosystem. The protocol focuses on standardizing how shopper context is communicated, ensuring that personal AI agents can access brand-approved information without fragmenting the customer experience.
For consumers, SCP aims to maintain consistent, personalized interactions with retailers even as AI agents play a bigger role in purchasing decisions. For brands, the protocol helps preserve long-built loyalty and first-party relationships while expanding access to context-rich AI tools. This reflects a broader trend toward responsible AI standards in commerce that balance automation with human-centric shopping experiences.
Image Credit: Shutterstock / FOTO Eak
SCP was announced alongside the formation of the Shopper Context Protocol Working Group, which brings together stakeholders from across the retail ecosystem. The protocol focuses on standardizing how shopper context is communicated, ensuring that personal AI agents can access brand-approved information without fragmenting the customer experience.
For consumers, SCP aims to maintain consistent, personalized interactions with retailers even as AI agents play a bigger role in purchasing decisions. For brands, the protocol helps preserve long-built loyalty and first-party relationships while expanding access to context-rich AI tools. This reflects a broader trend toward responsible AI standards in commerce that balance automation with human-centric shopping experiences.
Image Credit: Shutterstock / FOTO Eak
Trend Themes
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AI-powered Personalization — The integration of AI systems to deliver highly tailored shopping experiences represents a shift towards data-driven retail personalization.
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Consumer Data Control — The emphasis on frameworks like SCP highlights the growing demand for consumers to have greater oversight and control of their personal data shared with AI systems.
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Responsible AI Innovation — Emerging protocols aimed at ensuring ethical AI usage in retail underscore a movement towards prioritizing transparency and accountability in AI-driven commerce.
Industry Implications
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Retail Technology — The advancement of AI protocols in retail signifies a transformative period for technology that enhances shopping efficiency and consumer engagement.
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Data Privacy — With increased focus on consumer control mechanisms like SCP, data privacy has become a crucial component in developing trust within AI applications in retail.
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AI Ethics — The call for responsible and balanced AI implementation in shopping contexts is catalyzing growth and interest in the AI ethics industry.
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