The agentic commerce approach is rapidly becoming one of the most talked-about technology trends, often described as the modern way to build a smart commerce stack. And rightly so: AI and product data are transforming how businesses use all Enterprise data to define their Master Products. One of the biggest benefits is activating Master Product data through AI agents that enable conversational shopping.
 
Let's break down what this means for the stakeholders. 

  • For businesses: 
    Reach more customers and engage high-intent buyers by making your products and services available for purchase through AI agents. all while leveraging your existing commerce infrastructure. 
  • For AI agents: 
    Embed commerce within your application and allow users to discover and transact directly with businesses, without needing to process payments or act as the official seller.
  • For payment providers: 
    Grow transaction volumes by securely processing agentic transactions. Pass encrypted payment tokens between buyers and businesses through AI agents. 

Understanding your Master Data from a product perspective 

A product data approach enables organizations to build dynamic ecosystems of interconnected data systems. By leveraging APIs, these systems can seamlessly share and exchange data, creating a flexible, adaptive infrastructure. 

In contrast, systems from previous generations, built on outdated legacy technologies, often trap data in isolated silos. This makes activation in an agentic context difficult, hindering the ability to deliver consistent customer experiences. 

In such a siloed landscape, developing new innovations or experiences typically requires starting from scratch, consuming valuable time and resources. Moreover, these rigid setups limit the agility of digital teams and marketers, preventing them from quickly adopting an agentic approach. 

How to transition to agentic commerce 

Like any major transformation, change takes time. But industry frontrunners are already paving the way. A major factor holding many companies back is the fear of complex and lengthy product data integrations.

There’s a common myth in AI today that it “just works,” but as always, data remains the foundation. If you have control over your data, complexity doesn’t have to be a barrier. The solution is often referred to by many acronyms, but we call it a Product Orchestration Engine (POE)

At Occtoo, we eliminate the frustrations of complex integrations by enabling you to connect, persist, and expose all your product data as intelligent datasets in real time, providing AI agents with the perfect data foundation. This data activation transitions your business from a slow state to a fast state, unlocking tangible business value as your AI agents begin delivering measurable impact. 

How our Product Orchestration Engine accelerates composable data 

Our Product Orchestration Engine provides a unified semantic Master Product data layer, enabling you to easily create new digital destinations with the precise data needed to serve AI agents and/or edge frontends. This ensures your teams can craft exceptional consumer experiences at speed. 

When embracing a product data approach, Occtoo acts as a catalyst for your Master Product data, equipped with semantic capabilities that accelerate and consolidate your existing system of records. 

With Occtoo, you only need one platform to effortlessly orchestrate product data across all partner or customer-facing channels. 

Occtoo in an agentic commerce setup 

Occtoo fits seamlessly into an agentic commerce environment using the Agentic Commerce Protocol (ACP) for data activation. Occtoo consists of four interconnected blocks — plus catalog — that work together to orchestrate your product data effectively. 

  1. Occtoo Catalog — Enrichment engine

Facilitates the enrichment and monitoring of product data across all sales channels, supporting: Content Enrichment | Attribution | Verification 

  1. Occtoo Source — Data store

Simplifies the onboarding and persistence of diverse data types. Its intuitive interface enables effortless ingestion from sources like CSV files or APIs — without rigid data models. Simply push your data into Occtoo, and Source intelligently manages and joins it with other datasets, making it easy to work within Occtoo Studio. 

  1. Occtoo Cards — Modeling engine

Start with a blank data card to activate data properties and unify multi-domain data. Create a single Occtoo Card containing a unified dataset for your agentic commerce projects. 

  1. Occtoo Segments — Merchandising tool

Visually filter and repurpose product data using all unified data points — customer + product + context — to create geo-scaled, purpose-built datasets tailored for AI agents or edge frontends. 

  1. Occtoo Destination — Activation layer

Determines how to publish purpose-built datasets into an AI context or as real-time experience APIs for lightweight PWAs. It even auto-generates API documentation for easy querying and integration. 

The outcome 

Leveraging a Product Orchestration Engine empowers digital teams, elevates customer experiences, and optimizes existing infrastructure. All without costly, disruptive overhauls.

It’s time to embrace the next era of digital transformation. Whether generative or not, your data remains the key to transformation.  

 

 

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