How App Advisor simplifies resources to clarify the most relevant next step
For software development companies, the Microsoft Marketplace journey isn’t always linear. It’s a series of decisions: what to build, how to package it, how to publish, and how to sell it, each with real dependencies and real friction. Read more about how App Advisor provides clarity at every stage.Clarity at every stage: App Advisor turns Marketplace complexity into action
For software development companies, the Microsoft Marketplace journey isn’t always linear. It’s a series of decisions: what to build, how to package it, how to publish, and how to sell it, each with real dependencies and real friction.
Scale growth with the Marketplace playbook for channel-led sales
Looking to accelerate partner-driven revenue through Microsoft Marketplace? Join this insightful live webinar featuring channel sales experts as they share proven strategies for scaling channel-led growth. Learn how to activate partner opportunities with multiparty private offers, leverage resale-enabled offers to expand your reach, and build a repeatable framework for driving marketplace success through your channel ecosystem. Whether you're looking to strengthen partner engagement or unlock new revenue streams, this session will provide practical guidance you can apply immediately. Learn more and attend The Marketplace playbook for channel-led sales - Microsoft Marketplace partner office hoursDiscover how AI-powered agents on Microsoft Fabric are accelerating retail merchandising decisions
Retail organizations are under increasing pressure to move faster and make smarter, data-driven decisions at scale. In this latest Marketplace Partner Spotlight, Microsoft highlights how AI agents built on Microsoft Fabric are helping merchandising teams transform complex operational data into actionable insights—without leaving the security of their existing data environment. By leveraging Microsoft Fabric and OneLake as a unified data foundation, partners like Lucid Data Hub are enabling retailers to automate time-intensive reporting processes and shift toward continuous, insight-driven workflows. These business-ready AI agents can analyze large volumes of sales and operational data, surface meaningful trends, and deliver clear recommendations—empowering buyers and store leaders to act faster and with greater confidence. The impact is tangible: merchandising teams can reduce hours of manual analysis into minutes, uncover item-level performance insights, and identify opportunities across store clusters to optimize outcomes. If you’re exploring how AI agents, Microsoft Fabric, and the Microsoft Marketplace ecosystem can drive intelligent automation in retail, this article offers practical insights and real-world examples to help you get started. 👉 Read the full article AI agents on Microsoft Fabric for faster retail merchandising decisionsAI agents on Microsoft Fabric for faster retail merchandising decisions
For our latest in the Partner Spotlight series, we’re highlighting a partner building business-ready AI agents on Microsoft Fabric, so organizations can turn governed enterprise data into faster decisions and automated workflows. I connected with the team at Lucid Data Hub to learn how Lucid Agents Hub brings agentic experiences directly to customers’ data in OneLake, helping retail teams move beyond manual reporting and into repeatable, insight-driven action. About Venu Amancha, Founder & CEO, Lucid Data Hub builds business-ready AI agents that run directly on enterprise data within Microsoft Fabric. Our platform, Lucid Agents Hub, enables organizations to move beyond reporting and into automated, insight-driven workflows without moving data outside their existing security boundaries. _______________________________________________________________________________________________________________________________________________________________ [JR] Who is your solution designed for, and what does it help them do? [VA] Lucid Agents Hub is designed for teams who need to make frequent, high-impact decisions from large volumes of operational data especially merchandising teams, buyers, and store operations leaders in retail. Instead of spending hours assembling recaps and interpreting dashboards, they can receive agent-generated insights and clear, actionable recommendations on a predictable cadence. The AI agent eliminated that manual cycle entirely. It now surfaces those insights automatically, every week, in minutes. One example is our Retail Sales Performance AI Agent, which automates the weekly sales insights cycle for merchandising teams and buyers by analyzing millions of rows of weekly sales, item, and store data across banners and store clusters. [JR] Can you give an example of how the Retail Sales Performance AI Agent solved a customer’s problem? [VA] At Heritage Grocers Group, merchandising teams spent 5+ hours every week manually building sales recaps. They could see what happened—but not why. Buyers lacked a clear view of category trends, item-level performance, quantity shifts, and store-cluster patterns. The Retail Sales Performance AI Agent eliminated that manual cycle. It now surfaces those insights automatically every week in minutes detecting item-level declines, identifying fast-moving margin-positive SKUs, flagging underperforming items by store cluster, and delivering recommendations directly to buyers and store managers. [JR] Which Microsoft technologies or services are foundational to what you’re building? [VA] The solution runs natively on Microsoft Fabric, using OneLake as the unified data layer. Our agents operate directly on enterprise data and inherit existing governance and access controls without additional configuration. Outputs flow into the dashboards, collaboration platforms, and reporting workflows customers already use, so insights show up where decisions get made. Microsoft Fabric was a deliberate choice, not just a default. Our enterprise customers especially in retail already have their critical data living in the Microsoft ecosystem. OneLake means there’s a single, governed copy of that data. No duplication, no movement, no additional risk surface. Our agents read directly from that layer, which means the security and compliance boundaries that customers have already invested in carry over automatically. The value of building on Fabric goes beyond the technical architecture. It fundamentally changes how enterprise buyers evaluate and procure a solution like ours. When IT and security teams see that agents operate entirely within their existing Fabric environment with role-based access controls, workspace permissions, and audit logs they already control. It removes the largest barrier to enterprise adoption: trust. Procurement conversations that used to require months of security review cycles are now dramatically faster. What we didn’t fully anticipate was how much Fabric’s native integration capabilities would simplify end-to-end delivery. Going in, we expected to spend significant engineering time on data pipeline infrastructure. What we found instead was that Fabric’s data ingestion, lakehouse, and compute layers fit together in a way that let our team focus almost entirely on agent logic and business outcomes, not infrastructure plumbing. That shift in where we spend our effort has meaningfully accelerated how quickly we can deploy for new customers and extend to new use cases. [JR] How are you using AI today in Lucid Agents Hub, and what business outcomes have customers seen? [VA] We use Microsoft Azure AI Foundry for core AI and language model capabilities, and Microsoft Fabric Copilot (Fabric IQ) as the data and compute backbone. Together, they power agents that analyze weekly sales data across banners and store clusters, generate narrative-quality insights at the category and SKU level, and deliver clear recommendations without human intervention in the analysis cycle. 5+ hours of weekly manual effort eliminated Item-level sales declines and fast-moving margin-positive SKUs surfaced automatically Top-growth categories and underperforming items identified by store cluster Recommendations delivered directly to buyers and store managers weekly This all leads to faster decisions, stronger merchandising actions, and measurable improvements in product mix, availability, and overall sales performance. [JR] Any architectural decisions or best practices you’d recommend to other partners building agents? How did you approach building securely? [VA] We designed the solution as a coordinated set of specialized agents one for data ingestion, one for validation, and one for insight generation and delivery. Each agent owns a focused task, and together they run as a connected, end-to-end workflow. This makes the system easier to maintain, consistent in its logic, and straightforward to extend to new banners, categories, or use cases. Agents run entirely within the customer’s Microsoft Fabric environment data never leaves the customer’s security perimeter. All access controls, role-based permissions, and governance policies are inherited directly from Fabric. [JR] What motivated you to publish on Microsoft Marketplace? And did you use any Microsoft tools or benefits to support your publishing process? [VA] Publishing on Microsoft Marketplace was a straightforward decision. It gives enterprise customers immediate confidence that they’re procuring from a trusted, Microsoft-validated source instead of navigating a separate vendor relationship. It also simplifies procurement transactions run through an established Microsoft channel; so, customers can move faster than in traditional sales cycles. And it expands our reach to buyers already operating in the Microsoft ecosystem who actively look to Marketplace for solutions. We actively use Marketplace Rewards, which has been valuable for amplifying go-to-market efforts and accessing Microsoft co-marketing resources. We also leverage AI-enabled Marketplace Listing Optimization and related Marketplace content guidance provided through Marketplace Rewards. We used this support primarily to improve our marketplace messaging, positioning, and listing content so it would better resonate with enterprise buyers evaluating solutions within the Microsoft ecosystem. [JR] What key takeaways would you share with other partners building and publishing agents? Any unexpected wins or challenges along the way? [VA] Building and publishing agents can be a complicated endeavor. To other partners, we’d say, start with workflows that are repetitive and directly tied to decisions weekly merchandising recaps are a perfect example. Think end-to-end, not task by task. And build on governed enterprise data from the start, because that’s what drives trust and adoption. An unexpected win was how quickly merchandising teams adapted. Receiving plain-language summaries broken down by banner, store cluster, category, and SKU was more accessible than navigating dashboards. Teams made faster, more confident decisions without needing to interpret raw data themselves. _______________________________________________________________________________________________________________________________________________________________ Closing reflection Lucid Data Hub shows how agents built on Microsoft Fabric can turn governed enterprise data into repeatable, decision-ready insight helping teams act faster while keeping security boundaries and access controls intact.Optimizing Azure spend with Microsoft Marketplace
As someone deeply involved with Microsoft Marketplace product marketing team, I was excited to host our recent customer office hour session with Trunal Bhanse, CEO of Clazar. Our conversation focused on using Microsoft Marketplace to optimize Azure spend. The session explored how organizations can leverage Marketplace as a strategic procurement engine and maximize their cloud investments. Setting the stage: Marketplace as a growth engine Every organization today is striving to become a frontier firm—enriching employee experiences, reinventing customer engagement, and reshaping business processes. With AI at the center of transformation, the question often arises: should we build or buy AI solutions? If buying, how do we procure them efficiently and securely? That’s where Microsoft Marketplace comes in. It’s your trusted source for cloud solutions, AI apps, and agents, offering the largest catalog in the industry. Marketplace is fully integrated with Microsoft Cloud, providing a seamless experience from discovery to deployment. Whether you need standard contracts, private offers, or multi-year agreements, Marketplace adapts to your procurement needs and ensures your transactions are visible in the Azure cost management portal. Azure spend optimization: The power of Microsoft Azure Consumption Commitment (MACC) A major focus of our session was the Microsoft Azure Consumption Commitment (MACC). This agreement allows organizations to commit to a certain level of Azure consumption in exchange for discounted rates. The beauty of MACC is that eligible Marketplace transactions decrement your commitment dollar-for-dollar. That means when you purchase MACC-eligible solutions through Marketplace, you’re directly funding your cloud investments and maximizing your discounts. Our conversation covered how to identify MACC-eligible solutions using tools like Azure Marketplace Compass, the Azure portal, and Marketplace storefront. With over 4,000 eligible solutions available, most organizations can find the software they need and align it with their MACC commitments. This approach is especially valuable at fiscal year-end or when budgets are tight, allowing you to leverage your commitment for critical investments. Operationalizing Marketplace procurement To truly optimize spend companies should start with an inventory of all solutions currently deployed or planned for procurement across their organization. By mapping this inventory against MACC-eligible offers, they can ensure every purchase maximizes commitment and discounts. Security and governance are also paramount. Marketplace enables role-based access controls and private marketplaces, so only authorized employees can procure approved applications. This walled-garden approach gives administrators full control over what’s available for procurement. Partner solutions and automation To bring the MACC optimization process to life, Clazar provided a live demonstration of their platform which specializes in automation of this process. Their solution enables organizations to seamlessly match their software inventory against MACC-eligible offers, giving procurement and finance teams consolidated visibility into spend and streamlining the entire procurement workflow. With robust integrations for single sign-on-systems and automated dashboards, Clazar empowers customers to instantly identify eligible applications and make faster, more informed decisions about their Azure Marketplace investments Microsoft Marketplace is more than a procurement platform—it’s a strategic lever for optimizing Azure spend, accelerating innovation, and simplifying operations. By aligning purchases with MACC commitments, organizations unlock savings, streamline processes, and gain unparalleled visibility into their cloud investments. To learn more, watch the full recording of our conversation here: Using Microsoft Marketplace to optimize Azure spend - Microsoft Marketplace Community Resources Microsoft Marketplace: Microsoft Marketplace | cloud solutions, AI apps, and agents Azure Consumption Commitment (MACC) benefit: Azure Consumption Commitment Benefit - Marketplace customer documentation | Microsoft Learn Cost management for Microsoft Marketplace purchases: Cost management for Microsoft Marketplace purchases - Marketplace customer documentation | Microsoft LearnBuild and scale AI apps and agents for Microsoft Marketplace success
Ready to move from AI concept to Marketplace success? This article walks through the end-to-end journey of building, publishing, and commercializing AI apps and agents on Microsoft Marketplace—helping software companies navigate the full lifecycle with confidence. From architecture and security to compliance, operations, and commerce integration, Marketplace readiness requires more than a working model—it demands a holistic, production-ready approach. This post introduces a connected framework to guide every stage of development, ensuring your solution is designed for real-world deployment, scalability, and customer trust. Whether you’re refining a prototype or preparing for launch, discover how to align your AI solution with Marketplace requirements from day one and accelerate your path to revenue. Read the full article: Success with AI apps and agents in Marketplace: the end-to-endPartner perspective: How Breakthru uses App Advisor and AI-listing optimization to drive growth
Optimizing a Marketplace listing isn’t just a marketing exercise—it directly impacts discoverability, demand, and revenue. But knowing what to change (and when) can be challenging for software development companies. In this partner‑written blog post, Marketplace software development company Breakthru shares firsthand experience using AI‑powered listing recommendations in App Advisor to move from guesswork to confident, data‑driven optimization—without risking listing performance. Dan Langille also reflects on how App Advisor became a core part of their business, what’s working in practice, and how AI is changing how teams iterate on their Marketplace presence. 👉 Read the partner story here: Improve Marketplace outcomes with AI‑powered listing recommendations in App Advisor Discussion prompts for the community: Would AI‑driven recommendations change how often you iterate on your listing? Have you used App Advisor for selling and growing app and AI agent sales? Curious to hear how other Marketplace partners are approaching listing optimization today!Improve Marketplace outcomes with AI-powered listing recommendations in App Advisor
Over the past two decades working in the Microsoft partner ecosystem, I’ve seen how much effort it can take for small software development teams to navigate the path from building solutions to publishing to selling successfully enough to build a business around the products we work hard to build. What stands out to me now, however, is how much that experience has become more streamlined and actionable. App Advisor is one of the clearest demonstrations of Microsoft’s commitment to helping software development companies succeed, and in many ways, it represents the pinnacle of that evolution. Selling through Microsoft Marketplace has always been a high-impact growth channel for our team at Breakthru. But like many software companies, we’ve had to balance speed with precision—especially when it comes to optimizing listings that directly drive demand. With App Advisor—and now AI-powered Marketplace listing recommendations—we’re able to continuously improve how we show up in Marketplace without introducing risk or guesswork. We have more control and clarity than we have ever had before. Want to try the AI-recommendations for your listing? Go to aka.ms/ImproveMyListing Why App Advisor became a core part of how we operate I’ve been working in the Microsoft partner ecosystem for over 20 years. That’s a lot of technological changes. Over that time, however, Microsoft has never wavered from enabling partners with resources to build and grow. In fact, Microsoft has historically provided so much information, it was sometimes challenging to find the most relevant next step. After all, knowing what to do is one thing, knowing how to do it correctly and when is another. App Advisor closes that gap. It doesn’t just point you in the right direction. It meets you where you are and helps you get to where you need to go next. What makes App Advisor especially valuable for us is how practical and actionable it is. Instead of relying on external consultants or piecing together information across different resources, we can go directly to App Advisor and get clear, structured guidance. That saves time, reduces ambiguity, and helps us execute with more confidence across everything from publishing to sales motions. As it has evolved, it’s become more than a resource. It’s a system that helps you: Understand how to build, publish, and sell effectively Navigate Marketplace requirements without relying on external consultants Improve your execution across the entire lifecycle What’s new: AI-powered Marketplace listing recommendations The latest addition—AI-powered Marketplace listing recommendations—builds directly on that foundation. For us, Marketplace listings are a primary driver of inbound demand. In the Teams App Store, especially, visibility translates directly into installs, usage signals, and ultimately sales conversations. That raises the stakes. Any change to a listing—new messaging, updated screenshots, revised positioning—can impact uptick and performance. Historically, we were averse to making any changes. Now, that dynamic has changed. With AI-powered recommendations, we know what performs well, and as a result we can easily: Validate listing quality before and after updates Identify gaps in areas like keywords, messaging, and structure Make improvements without risking performance regression Iterate more frequently with confidence The ability to revalidate our listings and maintain a high-quality score as we evolve our messaging is incredibly valuable. What this means in practice This isn’t just about optimization. It’s about a different kind of operational fluency. Instead of treating our Marketplace listings as a static asset, we treat it as dynamic, continuously improving service. For example, this new App Advisor feature helped us identify that we needed to improve our key words. While our listings were strong in structure and clarity, optimizing key words would improve discoverability. That’s the kind of targeted feedback that drives meaningful outcomes. It not only shortens the feedback loop significantly but also removes uncertainty from the process. How this fits into the bigger picture What stands out most is how this feature fits into the broader App Advisor experience. It’s not a standalone tool. It’s part of a system designed to help software companies: Build with Marketplace readiness in mind Publish with clarity and compliance Sell with stronger positioning and visibility That continuity matters. It ensures that what you build, how you position it, and how you present it in Marketplace are all aligned from the start. If you’re already selling through Marketplace—or planning to—this is, in my twenty-plus-year experience with Microsoft, one of the fastest ways to improve outcomes without adding overhead. Review your current listings and run them through the AI-powered recommendations. You’ll quickly see where to focus. Ready to get started? aka.ms/AppAdvisor Explore how to optimize your listing and improve Marketplace performance today: aka.ms/ImproveMyListingImprove your Microsoft Marketplace listing performance with AI-powered, personalized recommendations
Discover how to strengthen your Microsoft Marketplace listing and increase discoverability with new AI-powered optimization capabilities available in App Advisor. This article explores how software development companies can receive fast, personalized recommendations that help improve clarity, strengthen value propositions, and align listings with Microsoft Marketplace best practices. In today’s competitive Marketplace environment, listing quality plays a critical role in whether customers discover, engage with, and ultimately choose your solution. The new listing optimization experience provides immediate, actionable feedback across key areas such as value proposition, solution description, and overall presentation—helping teams identify gaps and make improvements with confidence. Learn how this capability works, what it evaluates, and how your organization can use it to continuously refine your listing and drive better outcomes. Read the full article to explore how you can move from guesswork to data-driven optimization in Microsoft Marketplace. Read more: Get personalized, fast recommendations for your Marketplace listing to boost your discoverability
