Transforming Retail and CPG with the Agentic Commerce Protocol (ACP)

Retail and Consumer Packaged Goods (CPG) companies are operating in an environment defined by speed, complexity, and rising consumer expectations. As digital channels multiply and interactions become increasingly fragmented, traditional commerce models are showing clear limitations.

In this context, the Agentic Commerce Protocol (ACP) is emerging as a powerful new approach for orchestrating commerce interactions among consumers, retailers, and manufacturers. Rather than focusing solely on transactions, ACP enables more intelligent, connected, and adaptive commerce experiences — with meaningful implications for both customer engagement and operational efficiency.

Understanding the Agentic Commerce Protocol

The Agentic Commerce Protocol (ACP) is an open standard that enables communication between buyers, their AI agents, and businesses to complete purchases. Developed by OpenAI, ACP is currently implemented in ChatGPT, allowing sellers to present products and facilitate checkout directly within the platform.

Unlike earlier protocols designed around merchant-controlled processes, ACP shifts the center of gravity toward consumer agency. Systems can act on behalf of users, responding dynamically to preferences, context, and intent. This reflects a broader evolution in commerce — from linear purchase journeys to continuous, omnichannel interactions.

From Merchant-Centric to Agentic Commerce

Traditional commerce protocols were primarily built to optimize internal merchant workflows such as pricing, checkout, fulfillment, and settlement. While effective for transactional efficiency, they often struggle to deliver personalization, flexibility, and real-time responsiveness at scale.

ACP builds on this foundation by enabling a more holistic model. Instead of isolated systems operating independently, it supports coordinated interactions across platforms, partners, and channels. The result is a commerce environment that responds faster to demand signals, personalizes experiences at scale, and reduces friction across the customer journey.

What ACP Means for Retail and CPG

AI engines such as ChatGPT, Claude.ai, Gemini, Grok, and others are already influencing product discovery and purchase decisions. Retail and CPG organizations must now treat these environments as part of their digital commerce strategy. With ACP, A2A, and similar mechanisms emerging, these channels will increasingly become direct revenue drivers, not just discovery touchpoints.

For organizations, ACP enables tighter integration between consumer engagement and operational execution. Customers can discover products, receive relevant recommendations, and complete purchases with minimal friction — often within a single interaction.

Behind the scenes, enhanced data flow between retailers, manufacturers, and suppliers improves visibility into demand patterns and inventory movement. This supports smarter planning, reduces waste, improves availability, and ultimately enhances customer satisfaction.

The Technology Foundations Behind ACP

ACP’s effectiveness depends on modern digital capabilities working together:

- AI-driven decisioning to interpret consumer behavior and context in real time
- Connected platforms and systems generating continuous data signals across channels
- Secure data-sharing mechanisms that enable trust, transparency, and reliability across the ecosystem

While each of these technologies is already familiar, ACP’s value lies in integrating them into a coherent operating model that supports adaptive commerce at scale.

From Concept to Real-World Impact

Early implementations of agentic commerce principles are already delivering results. Retailers are improving supply chain visibility and responding faster to demand shifts, reducing excess inventory while maintaining availability. CPG brands are adopting more adaptive engagement models, delivering personalized campaigns that improve engagement and conversion.

These examples highlight a broader shift: commerce platforms are evolving from static systems into active participants in decision-making and execution.

Adoption Challenges to Consider

Adopting ACP requires thoughtful planning. Many organizations still rely on legacy systems that were not designed for this level of integration or flexibility, making modernization a critical prerequisite.

Data privacy and governance are equally important. As data sharing becomes more dynamic, maintaining consumer trust through strong security and compliance practices is essential to realizing the full value of agentic commerce.

How CI&T Helps Operationalize Agentic Commerce

Turning ACP from a protocol into a scalable capability requires more than connectivity. It demands modern data foundations, AI-ready architectures, and disciplined execution.

CI&T helps retail and CPG organizations operationalize agentic commerce by modernizing commerce and data platforms, enabling trusted, real-time data access for AI agents, and embedding applied AI across customer engagement and operations. Through lean delivery models and strong governance, CI&T supports rapid experimentation while ensuring security, reliability, and measurable business impact.

Looking Ahead

As consumer expectations continue to rise, commerce models must become more adaptive, intelligent, and responsive. The shift toward agent-driven systems will accelerate, powered by real-time analytics, automation, and AI-driven decision-making.

The Agentic Commerce Protocol represents a meaningful step in this evolution. By enabling connected, consumer-centric, and dynamically orchestrated interactions, ACP has the potential to reshape customer experiences while improving efficiency across the value chain.

For retail and CPG leaders, the question is no longer whether commerce will become more agent-driven, but how quickly organizations can align platforms, processes, and teams to support this new model. Those that begin exploring and operationalizing agentic commerce now will be best positioned to compete in an increasingly dynamic retail landscape.

Marcio Andreeta