Global Commerce Meets AI.

What is ESW Agentic Commerce?

ESW Agentic Commerce is the AI commerce layer of the ESW global commerce platform. Discovery, checkout, fulfillment and post-purchase service run through the same operating model already managing [JT1] global transactions.

Rather than bolting AI tools onto fragmented systems, ESW Agentic Commerce extends what the platform already does, now built for the interfaces where AI is directing shopper intent.

AI is Reshaping Commerce Faster than most Operating Models can Handle

AI is changing how shoppers discover, evaluate and purchase products. Conversational assistants and AI-driven platforms are becoming buying channels in their own right. The opportunity is significant. So is the investment required to capture it.

Some retailers are waiting to see how this plays out. Others are experimenting through disconnected tools and one-off integrations that create more complexity than clarity. Both approaches carry risk.

Sitting back means losing visibility where shopper intent is shifting. Experimenting without coordination means compounding exposure as programmes scale. And most emerging agentic commerce solutions are built for domestic markets only, leaving duties, landed cost and cross-border compliance unresolved.

Retailers need a technology partner that absorbs the evolving complexity of AI commerce rather than adding to it.

Trusted by Global Retailers Building the Next Generation of Commerce

ESW supports leading global brands as they extend their commerce operations into AI-driven channels and automation models.

• Products discoverable in conversational assistants and AI shopping environments
• Checkout capability within emerging AI purchasing interfaces
• Accountability controls that maintain oversight as automation expands
• Built on a global commerce platform operating across 200+ markets

Three capabilities. One Accountable System.

ESW Agents

Pre-built AI agents that automate payments, fraud management, fulfillment and customer service, including A2C (agent-to-consumer) capabilities. Every decision operates within defined governance policies. The catalogue expands as new workflows are proven, all managed through the Agentic Hub.

Agentic Discovery and Checkout

Enriches and optimises product data so catalogues surface when AI assistants recommend, compare and sell (business-to-agent). Pricing, availability, specs and descriptions are structured for how AI reads and ranks products.

When a shopper or agent is ready to buy, checkout happens within the AI interface, with duties, taxes and landed cost calculated across markets.

H3 – Agentic Hub

The central environment for all agentic commerce capabilities, spanning B2A, A2C and emerging A2A (agent-to-agent) models. Documentation, integration guides, API specifications, agent onboarding and deployment controls live here.

What Changes Ehen AI Operates Inside the Model

When AI agents and commerce interfaces run within the operating model rather than alongside it, five things improve.

Products that Show up Where AI Shops

Gartner predicted traditional search engine volume would fall 25% by 2026 as AI becomes the primary discovery layer. 

Brands whose product data is optimised for AI environments capture that intent. Those that are not discoverable lose shoppers to competitors who are.

Two disciplines drive this: AEO (Agentic Engine Optimisation) makes catalogues machine-readable. GEO (Generative Engine Optimisation) builds the authority signals AI trusts when choosing between products.

Revenue from Channels that Did Not Exist Before

AI search traffic converts 9x more often than social referrals, and retailers deploying their own agents saw 59% higher sales growth. ESW Agentic Commerce makes sure your brand captures this revenue.

Faster Adoption of AI Commerce Channels

New AI shopping environments become accessible through standardised accelerators rather than custom integration projects. The time from “emerging channel” to “live and transacting” compresses significantly.

Predictable Automation at Scale

Every agent operates within defined policies. As automation expands across more workflows and markets, the governance model scales with it rather than loosening.

Visibility Across Every Automated Workflow

Your team sees what agents are doing, how they are performing and where issues are emerging. Automation scales with oversight, not blind spots.