Summary of the Article

• AI Builder in retail is no longer a futuristic idea. Microsoft’s AI solutions are already changing the way retailers do business, sell products, and serve customers.
• Microsoft’s AI solutions cover the entire retail value chain, from personalized shopping experiences to supply chain management and workforce enablement.
• The Store Operations Agent provides retail employees with AI assistance on-demand, reducing the time they spend looking for product information and allowing them to concentrate on customers.
• Retailers who use Microsoft’s AI platform are discovering new revenue sources through data monetization, smarter merchandising, and real-time fulfillment intelligence.
• One statistic from Microsoft’s own research might surprise you — keep reading to find out what retail employees themselves are saying about working with AI.

Retail is being reinvented, and the retailers who recognize that now are the ones who will still be around in five years.

Microsoft’s AI Builder and its suite of AI tools are providing retailers with a first: a means to automate the mundane, accentuate what makes their brand stand out, and do it all without overhauling current systems. This isn’t about substituting people. It’s about providing everyone in the retail chain — from the store associate on the floor to the VP of merchandising — with tools that genuinely make their job simpler and their decisions more intelligent.

Microsoft is at the heart of this change, and their 2025 retail report, The AI Advantage: How Retailers Are Shaping Customer Experiences with Data-Driven Insights, produced in collaboration with Cascade Insights, clearly outlines the direction the industry is moving in and how retailers can navigate it.

How Microsoft’s AI Builder Is Changing the Retail Industry

While the retail industry has always been known for its fast pace, the introduction of agentic AI is speeding things up in a big way. Microsoft’s new agentic AI solutions are what the company refers to as a game changer — these tools are designed to help retailers predict changes, operate more efficiently, and deliver brand experiences that feel purposeful instead of generic.

This moment is different from previous waves of retail tech due to its scope. These aren’t point solutions for one department or one problem. Microsoft’s AI capabilities are built to span the entire retail enterprise, touching everything from how shoppers discover products to how warehouses coordinate fulfillment. As Kathleen Mitford, Corporate Vice President of Global Industry at Microsoft, said: “The retailers that thrive will be the ones that unify their business with intelligence that reaches every corner of the value chain.”

How Retailers Can Benefit from Microsoft’s AI Builder

Microsoft’s AI Builder is essentially a development platform that allows retailers to create, tailor, and implement AI-driven solutions without the need for a team of data scientists. It’s part of the Microsoft Power Platform ecosystem and directly connects to tools that retailers are already using, such as Dynamics 365, Azure, Microsoft Fabric, and Microsoft Copilot Studio.

Agentic AI vs. Basic Automation

Traditional retail automation is rule-based. If inventory is low, reorder. If a cart is abandoned, send a discount email. Agentic AI, on the other hand, is capable of reasoning, planning, and taking multi-step actions based on context. A Microsoft agentic AI solution doesn’t just identify an issue, it can analyze it, suggest a solution, and often times, implement it, all within the retailer’s defined parameters.

The Full Retail Value Chain: Where AI Builder Fits In

Microsoft’s solutions are purposefully designed to impact every stage of retail, not just customer-facing touchpoints. The value chain coverage includes:

Microsoft’s AI Builder offers a holistic approach that differentiates it from other vendors who offer more narrow solutions. This includes:

• Transforming the shopper journey through personalized discovery, context-aware conversation, and AI-assisted purchasing decisions
• Empowering the workforce by providing real-time AI assistance to store associates and back-office teams
• Increasing supply chain agility through smarter forecasting, coordination, and fulfillment automation
• Improving data and revenue intelligence by unlocking the value hidden inside retail data assets
• Ensuring compliance and information security with enterprise-grade AI governance built in from the start

Instead of having to cobble together five different tools, retailers can work within one unified intelligence layer.

Microsoft Copilot’s AI Platform

Microsoft Copilot, one of the most commonly used enterprise AI tools globally, is the basis for the AI that drives retail solutions. This means that retailers are not testing unproven technology. Instead, they are implementing the same models and infrastructure that Fortune 500 companies in every industry are already using on a large scale.

Revolutionizing the Shopping Experience

Customers’ desires have drastically evolved. They want to feel valued and appreciated, not like they’re just another target for marketing. They want suggestions that are tailored to their unique lifestyle — their likes, their family, their previous purchases — not a one-size-fits-all bestseller list. Microsoft’s Personalized Shopping Agent is designed to provide just that.

Customization Through Past Purchases, Tastes, and Household Requirements

Microsoft’s Custom Shopping Assistant is a context-aware conversational assistant that aids shoppers in locating what they require based on a deep comprehension of their identity. It does more than just display products; it comprehends the shopper’s context, rationalizes their needs, and presents alternatives that are truly pertinent. A parent shopping for back-to-school supplies will have a completely different experience than a professional setting up a home office, even if they are both looking for the same type of product.

Transforming Inspiration Into Sales With Agentic Commerce

Agentic AI is leading a significant change in retail by bridging the gap between product discovery and purchase. Traditional retail funnels are not foolproof — shoppers often get inspired, lose interest, get distracted, and fail to make a purchase. Agentic commerce keeps the ball rolling by managing complexities for the shopper.

Here is how this plays out in a typical shopper interaction:

• A shopper describes what they’re looking for in natural language — no search keywords required
• The agent pulls relevant products, cross-references preferences and past behavior, and narrows the options
• Follow-up questions refine the results in real time, mimicking a conversation with a knowledgeable sales associate
• The agent can surface bundle suggestions, flag availability, and in some implementations, complete the transaction directly

This isn’t a chatbot with a script. It’s a reasoning system that adapts to the conversation and gets smarter with every interaction. For retailers, that means higher conversion, lower abandonment, and customers who actually feel like the brand understands them.

There’s a huge impact on customer loyalty. When customers regularly receive relevant, seamless experiences, they stop shopping around. That’s a level of customer retention that no price reduction campaign can achieve.

Empowering Retail Workers with Microsoft AI Builder

There is a serious, yet often overlooked issue in retail. The technology gap on the frontline. The people most directly responsible for the customer experience, store associates, are often the last to receive digital tools. Microsoft’s research discovered that a significant number of retail employees do not have access to digital tools that could help them serve customers more effectively. This is the exact problem that the Store Operations Agent was designed to solve.

What the Store Operations Agent Does on the Floor

The Store Operations Agent from Microsoft provides safe, company-controlled generative AI directly to store associates through Microsoft Copilot Studio. This means that instead of spending time looking through manuals, making calls to the back office, or leaving a customer waiting while they look for an answer, associates can receive immediate, correct answers to operational questions. These can include product specifications, store policies, inventory status, and promotional details, all of which can be brought up in seconds.

This is especially potent due to the control layer incorporated into the system. Retailers establish the limits. The AI works within these constraints, ensuring that associates always receive answers that are consistent with the brand and policy. There is no danger of the system becoming uncontrollable or revealing unapproved information. It’s AI with safeguards that are effective in a real retail setting, where precision and brand consistency are critical.

AI Enhances Creativity and Focus for 84% of Workers

Microsoft’s research supports what retailers are beginning to see in practice. Their data shows that 84% of workers believe AI enables them to be more creative and focused on the job. In the retail industry, this directly leads to improved customer interactions. Sales associates who aren’t burdened by administrative tasks have more mental capacity to genuinely engage with customers, troubleshoot issues, and cultivate the kind of relationships that encourage repeat customers.

Increasing the Efficiency and Readiness of Retail Employees

In the retail industry, time is of the essence. If a customer has to wait too long for assistance, they may leave the store—or even worse, order the product from a competitor while still in the store. Associates who use AI can prevent this from happening.

Not only does AI improve individual interactions, but it also makes the entire workforce more flexible. If store conditions change – for example, a sudden increase in customers, a product recall, or a change in promotional strategy – AI tools can help the team react immediately instead of waiting for information to be passed down through management.

The wider implications here are as much cultural as they are operational. When frontline staff have tools that truly assist them in performing their duties effectively, engagement increases, turnover decreases, and the customer experience improves across the board. Retail has traditionally had a high associate turnover rate — AI that truly reduces daily friction is a significant retention tool, not just a productivity statistic.

• Faster customer resolution — associates answer questions in seconds rather than minutes
• Consistent brand messaging — every associate operates from the same governed knowledge base
• Reduced training burden — new hires get up to speed faster with AI-assisted guidance
• Higher engagement — employees freed from repetitive lookups can focus on meaningful customer interaction
• Real-time adaptability — teams respond to changing store conditions without waiting on management communication chains

Retail Business Operations That AI Builder Transforms

The customer-facing side of AI gets most of the attention, but the operational transformation happening behind the scenes is equally significant. Microsoft’s agentic AI solutions reach deep into the back-end functions that determine whether a retailer can actually deliver on the experience they promise — merchandising, fulfillment, marketing, and data strategy.

Marketing and Merchandising Intelligence

AI Builder allows marketing and merchandising teams to do something they’ve always dreamed of but rarely been able to achieve: using data in real time instead of retrospectively. Rather than going over last week’s sales report and making changes to next month’s plan, retailers who use Microsoft’s AI Builder can spot emerging demand signals as they occur, make adjustments to assortments and promotions on the fly, and personalise marketing campaigns at a level of detail that was previously only achievable for the largest retailers with the biggest data teams. The end result is a lower risk of having too much inventory, a better return on investment for promotions, and a product mix that reflects what customers want right now, not what they wanted three months ago when the plan was put together.

Meeting Retail Promises and Coordinating Supply Chains

When it comes to retail, fulfillment is where promises are either made or broken. Microsoft’s AI applies intelligence to the supply chain, assisting retailers in creating what the company refers to as agile, sustainable supply chains. These are networks capable of handling disruptions and ensuring products get to where they need to be. AI agents are capable of monitoring supplier performance, flagging potential delays before they result in stockouts, making optimal routing decisions, and coordinating across distribution nodes in a way that would require entire teams to manage manually. For retailers still trying to recover from recent years of supply chain chaos, this level of real-time coordination intelligence is genuinely revolutionary.

Turning Retail Data into Money and New Ways to Make Profit

Retailers have data that is worth much more than most of them understand — purchase histories, foot traffic patterns, shopper demographics, browsing behavior, loyalty program data. Microsoft’s AI platform allows retailers to use that data to its full potential, both for making decisions within the company and for creating completely new ways to make profit like retail media networks, where brands pay for access to shopper insights and targeted ad placements.

One of the biggest trends in retail strategy is the use of artificial intelligence (AI). Retailers who are able to utilize sophisticated data infrastructure and AI tools are able to build media businesses that can compete with their core retail margins. Microsoft Fabric is Microsoft’s unified data analytics platform that allows retailers to store, process, and activate their data assets at an enterprise scale.

What Retail Leaders Are Saying About AI

Retail leaders are sending clear and consistent messages. According to Microsoft’s 2025 retail research, retail executives are increasingly focused on identifying AI use cases that can help grow revenue and increase profitability across the value chain — not just cut costs. That’s a significant change in how AI is being framed internally. It’s no longer purely a defensive efficiency play. Retailers are starting to treat AI as a genuine growth strategy, building out what Microsoft describes as a rich AI world — a layered ecosystem of AI agents working in concert across every retail function, from compliance and app development to customer experience and supply chain management.

How Microsoft Can Help Retailers Prepare for AI

Microsoft’s AI solutions for retail are designed to be integrated into existing systems, so there’s no need for a complete overhaul of your current infrastructure. This means that retailers can start to use Microsoft’s AI in specific areas, such as a personalized shopping assistant or a store operations agent, and gradually build up to a more comprehensive intelligent enterprise over time.

The best place to start is to identify one high-friction area in the retail operation where AI can deliver fast, measurable impact. For many retailers, that’s the frontline workforce gap. For others, it’s supply chain visibility or personalization at scale. Microsoft’s solutions are modular enough to start narrow and expand, which removes the all-or-nothing barrier that has historically slowed enterprise AI adoption.

Furthermore, using Microsoft Fabric as a unified data basis provides retailers with the infrastructure required to expand AI throughout the business. With clean, linked data flowing through a single platform, every AI agent in the ecosystem becomes more intelligent – because the intelligence is only as good as the data that powers it. Retailers who invest in that data foundation now will be the ones who can move quickest as AI agent capabilities continue to speed up through 2025 and beyond.

Where to Begin: Microsoft’s AI Solutions for Retail

The best way to start using Microsoft’s AI solutions depends on where a retailer is struggling the most. Microsoft offers two retail agents that deliver immediate value without requiring a lengthy deployment cycle. The Personalized Shopping Agent addresses the customer experience gap, while the Store Operations Agent tackles the frontline workforce gap. Both are available through Microsoft Copilot Studio and can be customized to fit a retailer’s specific brand, data, and operational context. Starting with one of these two agents gives retail teams a concrete, measurable win — and builds internal confidence to expand from there.

Microsoft Fabric and the Tools Retailers Need to Scale

Microsoft Fabric is the unified data analytics platform that ties everything together. It gives retailers a single environment to ingest, store, process, and activate data from every corner of the enterprise — point-of-sale systems, e-commerce platforms, loyalty programs, supply chain feeds, and more. Without a connected data foundation, AI agents are working with incomplete information. With Microsoft Fabric, every agent in the ecosystem draws from the same clean, unified data layer, which means every decision gets sharper over time.

Microsoft’s retail technology stack works together seamlessly. Azure provides the cloud infrastructure and access to AI models. Microsoft Copilot Studio allows for the development of custom agents without the need for extensive coding knowledge. Dynamics 365 connects operational data across commerce, supply chain, and customer service. The Power Platform allows retail teams to build and automate workflows. Combined, these tools provide retailers with a full-stack AI capability that can scale from a pilot in a single store to deployment across an entire enterprise, without resulting in a fragmented set of disconnected point solutions.

Retailers Who Adopt AI Now Will Be Tomorrow’s Leaders

There is still a window of opportunity for retailers to gain a competitive edge by adopting AI. However, this window will not stay open forever. Retailers who move now will gain something far more valuable than just technology. They will gain data, experience, and organizational capability that will compound over time. The Personalized Shopping Agent becomes smarter with every interaction it handles. The knowledge base improves with every operational query the Store Operations Agent resolves. The retailers who are deploying these tools today are training AI systems that will be significantly more capable 18 months from now. Meanwhile, competitors who wait will be starting from scratch. In the retail industry, where margins are thin and it’s hard to differentiate, it’s extraordinarily difficult to close this type of compounding advantage.

The transition from reactive to smart retail has already begun. It’s not a question of if AI with agency will transform the industry, but rather which retailers will be leading the transformation. As Kathleen Mitford from Microsoft said, the retailers who will succeed are those who integrate their business with intelligence that permeates every aspect of the value chain. This is not a forecast for the future. This is what’s happening right now, in brick-and-mortar stores, distribution centers, and online stores run by retailers who decided not to wait.

Common Queries

These are responses to the questions most often posed by retailers and those making decisions about retail technology regarding Microsoft’s AI Builder and agentic AI solutions.

What is the Microsoft AI Builder and how does it work in retail?

The Microsoft AI Builder is a low-code AI development platform that is part of the Microsoft Power Platform. It allows retailers to create, customize, and implement AI-powered models and automations without needing a deep understanding of data science. It can be used in a variety of ways in retail, from automating document processing and inventory management to creating smart customer-facing experiences.

AI Builder is designed to work specifically with the retail industry. It links to the wider Microsoft ecosystem, including Dynamics 365, Azure, and Microsoft Copilot Studio. This allows retailers to create solutions that cover the entire value chain. It’s not a separate tool, but rather a capability layer that enhances everything a retailer already has within the Microsoft environment.

What makes agentic AI different from traditional retail automation tools?

Traditional retail automation is based on fixed, rule-based logic — if this happens, then do that. On the other hand, agentic AI is able to reason through problems, plan multi-step responses, and act based on context rather than pre-set rules. For instance, a traditional automation tool might reorder stock when inventory falls below a certain threshold. However, an agentic AI solution can analyze why inventory fell, determine whether the trend is likely to continue, evaluate supplier lead times, and coordinate a fulfillment response — all on its own and within the parameters defined by the retailer.

What is the Microsoft Store Operations Agent?

The Microsoft Store Operations Agent is a custom-built AI solution available through Microsoft Copilot Studio that provides store associates with immediate access to company-approved information and instructions. It enables frontline employees to receive real-time responses to questions about products, store policies, promotions, and operational procedures without leaving the sales floor. The agent operates within boundaries set by the retailer, ensuring that every response is accurate, on-brand, and complies with policy — making it safe to deploy across large store networks without fear of inconsistent or off-message information reaching customers.

How does Microsoft AI Builder personalize the shopping experience for retailers?

The Personalized Shopping Agent from Microsoft uses context-aware conversational AI to assist shoppers in finding products that truly align with their needs, preferences, and past behavior. Instead of relying on keyword search or broad category browsing, the agent engages shoppers in natural conversation, narrows options based on what it learns about the shopper in real time, and surfaces recommendations that are meaningfully relevant rather than generically popular.

The customization extends past product suggestions. The assistant is able to comprehend the circumstances — the shopper’s intended recipient, their limitations, their previous purchases — and uses that knowledge to assist the entire shopping process from discovery to conversion. The outcome is a noticeably improved experience that leads to increased conversion rates and robust customer loyalty over time.

• Context-aware conversation — understands the shopper’s intent, not just their search terms
• Behavioral learning — draws on order history, preferences, and browsing patterns to sharpen recommendations
• Dynamic refinement — adapts in real time as the shopper provides more information during the conversation
• Conversion acceleration — reduces friction between inspiration and purchase by handling complexity on the shopper’s behalf
• Loyalty impact — consistent relevance builds the kind of shopper trust that reduces comparison shopping over time

Retailers deploying the Personalized Shopping Agent are effectively giving every online shopper access to a knowledgeable, patient, always-available sales associate — at a scale that would be impossible to achieve with human staff alone.

What Microsoft tools should retailers start with to get started with AI?

The most practical starting point is Microsoft Copilot Studio, which provides the environment to build and deploy custom retail agents — including the Store Operations Agent and Personalized Shopping Agent — with low-code development tools that don’t require a large technical team. From there, Microsoft Fabric should be the next priority investment, as it creates the unified data foundation that makes every AI agent more effective over time.

If you’re a retailer who uses Microsoft Dynamics 365 for commerce and supply chain operations, the process of integrating AI agents is simple. They can connect directly to your existing operational data, customer records, and inventory systems, without the need for a lot of custom development. This means you can start seeing the benefits quickly, often within a few weeks rather than several months. Plus, you can add more AI features gradually as your organization becomes more comfortable with using AI.

Microsoft suggests that you should start with a specific use case that will have a high impact instead of trying to transform everything at once. Choose the point of friction that is costing you the most, whether it’s inefficiency in the frontline workforce, abandoned online carts, or blind spots in the supply chain, and deploy an agent that is designed to directly address it. Measure the results, build confidence within the company, and then scale from there using the same underlying platform.

Microsoft’s retail AI solutions are designed to adapt to the changing needs of retailers. The platform grows with the retailer, meaning that early investments in infrastructure and agent deployment do not become obsolete as the strategy matures. Instead, they become the foundation that everything else is built on. For retailers who are serious about staying competitive through the current wave of AI-driven change, starting on the Microsoft platform today is the move that will make every future step easier and faster.

Sunrise Integration is an expert in assisting retailers in implementing smart commerce solutions, making them an excellent partner for teams eager to utilize Microsoft’s autonomous AI capabilities in their own retail settings.