Specifically, what will change for retailers?
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AI is Changing How Organizations Work
How HSO Is Helping Organizations Move from Systems of Record to Systems of Action
Agentic AI and the future of ERPA-commerce: Why AI Is Becoming the New "Front Door" of Retail
Discover what retailers need to do now to stay relevant
Retail is on the precipice of the next big shift. This shift isn't driven by a new channel or faster e-commerce experiences, but by a fundamental change in how purchasing decisions are made. Increasingly, products are found, compared, and purchased within AI-driven conversations, with smart assistants and agents acting on behalf of the consumer.
Internationally, this development is referred to as agentic commerce or a-commerce: a model in which AI agents not only advise, but also actively prepare decisions and execute transactions. Major technology companies, market analysts and retailers agree on one thing: this is no longer an experiment, but a structural development that is permanently changing the playing field in retail.
From Clicking to Conversing
For years, the "front door" of retail was clearly defined: first it was the high street, later it became the homepage, then search engines and category pages took center stage. Growth was achieved through traffic, conversion optimization and funnel thinking.
In a commerce, that front door is shifting to something fundamentally different: conversation.
Today, consumers formulate their intent in natural language - "I'm looking for a durable lamp under €150, delivered tomorrow" - and an AI assistant assesses options in real-time based on context, preferences, reviews, availability and delivery conditions. The outcome is not a long list, but a limited number of educated recommendations on which immediate action can follow.
Bain research shows that 30-45% of consumers now use generative AI to research and compare products. McKinsey expects that agentic commerce could account for trillions in global retail volume by 2030, precisely because agents leverage existing digital infrastructure but make decisions faster and more consistently.
Microsoft: A-Commerce Becomes Concrete
Microsoft is taking a leadership position in this development. Microsoft announced a suite of agentic AI solutions for retail built around Copilot and Dynamics 365 in early 2026.
Copilot Checkout: from Intent to Transaction
With Copilot Checkout, consumers can complete purchases directly within the Copilot environment, without a referral to an online store. The retailer remains merchant of record, but the friction in the purchase process virtually disappears. Conversation and conversion coincide.
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Agents for the Entire Retail Chain
In addition, Microsoft is introducing agentic AI capabilities for merchandising, marketing, store operations and fulfillment. These agents are context-aware, combining internal and external signals to help retailers make and execute decisions faster. The end result: a move from fragmented processes to one intelligent retail operating model.
Examples include:
- Personalized shopping agents for conversational discovery and advice
- Catalog enrichment agents that automatically enrich and structure product data
- Store operations agents that support store employees in real time with inventory, policies and tasks
All of this fits within Microsoft's broader vision of "Commerce Anywhere": seamless, context-driven commerce across digital, physical and conversational touchpoints.
Also read: Microsoft propels retail forward with agentic AI capabilities
The Real Prerequisite: Agent-Ready Data
Although a-commerce is often associated with chat interfaces, the reality is more complex and comprehensive. AI agents function well only when they can rely on current, consistent and machine-readable data.
For many retailers, this is a challenge. Product information has historically been set up for filters and categories, not conversations. Pricing logic, availability, delivery promises and return conditions are scattered across multiple systems.
Microsoft acknowledges this challenge and provides a solution: those who want to be visible and reliable in AI-driven buying moments must invest in AI Engine Optimization (AEO) or Generative Engine Optimization (GEO) - optimally unlocking product and proposition structure for AI platforms.
In short, AI only sells what it understands and can verify.
- 1
Findability shifts
SEO alone is no longer enough. Retailers need to ensure that their assortment is correctly and completely interpreted by AI agents on third-party platforms as well as in their own environments.
- 2
Conversion shifts
Checkout is moving from physical and online shopping carts into conversation. That requires robust integrations with order, payment and fulfillment processes.
- 3
Merchandising becomes real-time
Conversations provide instant intent signals. This feedback influences assortment, promotions and content in real-time.
- 4
Product data becomes strategic
Data quality is no longer a hygiene discipline for IT, but a direct revenue driver. Catalog enrichment agents help, but only with a good governance foundation.
- 5
Store floor becomes augmented
AI supports employees with context, insights and next best actions - crucial in a tight labor market.
The role of HSO: from strategy to working agents
HSO helps retailers approach a-commerce beyond the hype as concrete transformation on the Microsoft platform.
- A stable retail backbone. HSO implements and optimizes Dynamics 365 for Retail as a source of truth for price, inventory, orders and supply chain - the basis for reliable agent decisions.
- Data & integration at the agent level. API-first integrations, real-time availability and clear governance ensure AI agents can operate securely and consistently.
- Smart deployment of Copilot Studio. HSO builds and deploys retail-specific agents (shopping, catalog, operations), with clear guardrails, monitoring and continuous optimization.
The result: retail organizations that are agent ready, without losing sight of their core processes.
Prioritize Starting Small with Big Impacts
A-commerce doesn't require a big bang. HSO advises retailers to start with owned conversational experiences, learn quickly and feed those insights back into data and processes.
A typical first step:
- One product group
- One conversational agent
- One clear business KPI (conversion, returns, service time)
- Scale up from there.
Conclusion
AI agents are changing not only how consumers buy, but who is in control of the decision moment. Retailers who invest in data, integration and agent-driven processes now are building a structural advantage - visible, measurable and scalable.
With Microsoft's agentic AI developments and HSO's retail expertise, a-commerce is no longer a vision for the future, but a viable next step.
The only question is: is your organization ready to be found, chosen and trusted by AI?
Do you also want to be agent ready?
Then make an appointment with one of our retail experts now.
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