From Intent to Delivery: Enabling the Full Agentic Commerce Journey

There’s no shortage of hype around AI-driven commerce. Analysts are tracking billions in investment, major retailers are testing agent-based search tools, and startups are promising to reinvent the shopping experience through intelligent automation.

But what most of the industry gets wrong is how narrowly this revolution is being framed.

When people hear “Agentic Commerce,” they immediately picture product recommendations, shopping assistance, or automated checkout experiences, all of which are “top of the funnel”.

What they’re missing is that the real transformation is going to happen deeper in the stack, at the orchestration layer, where AI agents move from merely suggesting products to actually executing commerce at every level.

This is where brands, retailers, and B2B distributors should be focused. 

The right partner enables agents to help with discovery and power the entire commerce journey, from product visibility and dynamic fulfillment, to post-purchase service and reordering, through the infrastructure of a true Agentic Commerce Orchestration Engine.

Unwinding The Narrow Definition of Agentic Commerce

If AI agents only influence search results or click “buy now,” we haven’t changed the system; we’ve simply added a new interface.

The true potential of Agentic Commerce lies in autonomy.

The moment a language model or agent takes on the entire buyer journey (discovery, decision-making, purchase execution, fulfillment routing, and post-sale lifecycle management) it stops being an assistant and becomes the customer.

That’s where the stakes get higher. According to Salesforce’s 2025 State of Commerce report, 81% of businesses are already experimenting with AI to streamline customer experiences, but less than a third say they’re operationally ready for automation beyond marketing and chatbots.

In other words: the agents are coming, but the infrastructure isn’t ready.

Agents Are the Interface While Orchestration Is the Advantage

To win in the agentic era, businesses must address a new set of operational questions:

• Can you ensure your product data is trusted, visible, accurate, and enriched in real time?
• Can your checkout, inventory, and supplier systems execute autonomously, without human intervention?
• Can you route orders dynamically across a diverse fulfillment network?
• Can you support agent-led reorders, returns, and replenishment with predictable results?

If the answer to any of those is “not yet,” then the agentic vision breaks down before it even begins.

That’s where the role of an orchestration engine comes in. It operates as a system that sits behind the scenes, ensuring that the autonomous commerce journey isn’t just possible, but reliable.

How Agents Will Interact Across the Full Journey

Agentic Commerce doesn’t stop at search. Here’s what each stage of the journey looks like, and why Logicbroker is building a system to power it.

Discovery – Visibility Starts With Data Readiness

If agents can’t find your product, you don’t exist in the new commerce landscape. This isn’t just about search ranking, it’s about real-time access to accurate product information, stock levels, pricing rules, and content enrichment.

Comprehensive digital commerce infrastructure, that prioritizes advanced dropship and marketplace capabilities and connectivity, enables retailers with hundreds of suppliers across the globe, ensuring that agents can access product data that’s trusted and verified, up-to-date, structured, and ready for programmatic evaluation.

Consideration – Validated Content for Confident Decisions

Product comparisons, sizing guides, compatibility checks, and spec verifications are all part of the agent’s consideration logic. This demands normalized product data and enriched attribute mapping, which is why Logicbroker actively facilitates this during the supplier onboarding process. This process ensures that LLMs don’t gather incorrect data that can be harmful to the consumer experience. Utilizing Model Context Protocol (MCP) servers running through our Intelligent Commerce Network, LLMs gather trusted and verified data that powers both discovery and consideration.

By cleansing and validating product feeds, retailers and distributors can ensure that agents making decisions on behalf of users are pulling from data that is accurate, trusted, and aligned with retailer expectations.

Purchase – Checkout Orchestration With Compliance Built In

When agents reach the point of purchase, they don’t fill out forms or wait for confirmation emails. They simply expect instant, reliable execution.

Tech partners like Logicbroker already provide transaction routing via checkout APIs, fulfillment workflows, and ensure compliance for multi-supplier environments. Every order placed by an agent must be captured and transmitted in real-time, and it is vital that you ensure that process is seamless.

Fulfillment – Meeting the Promises Agents Make

It’s not enough to route an order without having to visit a website. The consumer expects it to arrive on time, in full. That’s the only way to build trust with autonomous buyers.

Gaining the support of advanced order orchestration, including dynamic routing to 3PLs, hybrid dropship and wholesale fulfillment, and real-time SLA enforcement, is vital. When an agent selects a product based on estimated delivery, ensuring that consumer expectations are met means repeat customers.

Post-Purchase – Supporting Returns, Reorders, and Loyalty

Agents that serve the customer over time (whether B2C or B2B) need access to reorder logic, returns eligibility, and historical purchasing data.

Enabling all of these interactions through its integrated workflows and APIs is the difference between a happy consumer and one who is left struggling to find reasons to shop with you. Whether it’s a subscription replenishment for a consumer or a recurring PO for a distributor, the infrastructure is already in place.

What Makes an Agentic Commerce Orchestration Engine?

Not all platforms are built for agents. To qualify as an Agentic Commerce Orchestration Engine, infrastructure must:

• Support real-time product and inventory feeds
• Enable autonomous order placement across multiple suppliers
• Validate and normalize product content at scale
• Provide a trusted & verifiable source of data for LLMs
• Route orders intelligently with performance tracking
• Offer accessible APIs for agent interactions
• Facilitate post-sale events like returns and reorders

It’s our job at Logicbroker to meet all these criteria, and continue to expand our orchestration capabilities to support agent-led commerce at scale. That’s not on our roadmap for 2026, that’s what’s already powering leading retailers and brands today.

Why This Matters Right Now

The competitive landscape is shifting fast. A report from Gartner predicts that by 2026, over 25% of customer interactions in digital commerce will be initiated by autonomous agents, up from less than 5% today.

The companies that win in this new world won’t just be the ones with the flashiest AI assistants. They’ll be the ones whose infrastructure allows those assistants to operate freely and successfully.

Agentic Commerce is here. It’s not a trend. It’s a new architecture.