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Inside Bissell's 48-hour AI sprint that changed how it uses data. Published March 27, 2026 Bissell cut through AI hype by building five real workflows in just two days, turning skepticism into measurable results across customer service and analytics. AI conversations are everywhere. Shipped AI solutions are not. Cleaning/vacuum cleaner company Bissell worked with AI analytics firm Domo to cut through the buzz to deliver AI-based automation fast. In two days, teams spanning customer experience, product design, engineering, sales, and marketing built five functional workflows to change how the organization operates and interacts with data. "Everyone is talking about AI, but the hype often rises far above actual tangible value," said Brandon Walsh, director of Data & Analytics at Bissell, during a presentation at the Domopalooza conference in March. "Instead, we decided to build some AI tools that could make a difference immediately in our business." The company defined five business problems it hoped to solve with AI. It partnered with Domo and arranged for key personnel to be available for two full days to build the necessary tools. From AI hype to hands-on execution. Walsh noticed that some of his associates were leery of AI. Having experimented with a free generative AI tool, they were not convinced that tangible results were obtainable. Further, they were fiddling with AI in their spare time rather than coming to terms with the technology. He secured executive buy-in and arranged for them to dedicate two days to the project without distractions. "I built an Amazon sales agent in one hour using Domo, so I wanted to show people what was possible," said Walsh. "The goal was to prove the value of AI in days rather than months." He picked two actual problems from his own area and asked around for other challenges. Five use cases were finalized. Two of the problem areas concerned customer service (issue tracking and post-launch excellence, or PLE); one concerned marketing reporting; one concerned resource planning for product design; and one concerned sales reporting on top-selling items. Most of these issues consumed hundreds of hours of manual work annually. Those responsible for these functions were gathered in one room and given the task of developing AI apps and agents in Domo to solve these problems. A closer look at AI in action. PLE tracking and analytics required individuals to visit various dashboards, PDFs, and PowerPoints to manually gather data. The AI agent developed by the analytics team lead and a Domo support consultant during the meeting discovered several key trends quickly: * A 20% rise in users seeking additional resources (instructional videos, manuals, or guidance on using specific Bissell product features) * A 27% rise in users asking general questions about products * A 15% increase in troubleshooting requests, such as users with power problems with non-functioning devices. "It used to take eight to 10 hours in the past to find out emerging trends as you had to visit multiple places," said Walsh. "Now it takes five to 10 minutes, and we have an agent that can support future product launches." Similar successes were achieved with four other use cases during the two-day sprint. As a result, Walsh firmly recommends the approach of removing key people from their day-to-day activities so they can come to grips with the potential of AI for their areas. Another tip: Bypass the AI hype by getting people into action. He suggested getting staff to attempt something tangible with AI to learn from the experience. It may not be perfect, but it gets the ball rolling. He thinks too many people have toyed with AI using consumer-based tools and gained a negative impression. "Start with real pain points and make sure your data is ready in a platform like Domo, or you will spend all your time dealing with data problems rather than building apps and agents," said Walsh. For more ways to turn AI into a practical work tool, check out these 12 proven prompt templates designed to help professionals write, plan, analyze, and get better results from AI.

Domo announces new admin controls for AI agents and data delivery at Domopalooza. March 26, 2026 at 8:55 PM - by MLQ Agent · source Business Wire Key points. * Domo introduced new capabilities giving administrators greater control over how data is delivered across organizations and how AI agents are built and deployed. * The features were announced at the company's annual Domopalooza conference. * The updates address management of access, content organization, and consistent data experiences as AI-driven workflows expand. * The release targets growing enterprise demand for governance over agentic AI and data products. Domo (Nasdaq: DOMO) unveiled a set of new platform capabilities at its annual Domopalooza conference, focused on giving administrators more control over AI agent deployment and data delivery across the enterprise. The features are designed to help organizations manage access, organize content, and maintain consistent data experiences as AI-driven workflows become more embedded in daily operations. Price Action DOMO chart What Domo announced. The new capabilities center on administrative governance - giving IT and data teams tools to control how data products, applications, and AI agents are built and distributed within an organization. As companies increasingly adopt agentic AI workflows, the need for centralized oversight of what data feeds those agents and how outputs are delivered has become a key concern for enterprise buyers. Domo is positioning these features as a response to that demand. Stock and financial context. Domo's stock has been under significant pressure, with its market capitalization declining roughly 58% over the past 12 months to approximately $149 million. The company reported trailing twelve-month revenue of $318 million but posted a net loss of $77 million. Analysts maintain a consensus "Moderate Buy" rating with an average price target of $17.00, implying roughly 24% upside from recent levels. No specific analyst commentary on this product announcement was available. Companies mentioned. Written with AI assistance, verified and edited by its team. Questions? Contact MLQ.ai.

Domo unveils redesigned Magic ETL and ai-guided data connectivity at Domopalooza. March 26, 2026 at 8:55 PM - by MLQ Agent · source Business Wire Key points. * Domo announced a redesigned Magic ETL authoring experience and AI-guided tools for connecting new data sources. * The updates aim to reduce the time organizations spend on data preparation, which the company calls the most time-consuming part of analytics. * The announcements were made at Domo's annual Domopalooza conference. * The new capabilities are positioned around accelerating AI agent creation by simplifying multi-system data integration. Domo (Nasdaq: DOMO) announced updates to its Magic ETL data transformation tool and data integration capabilities at its annual Domopalooza conference this week. The changes include a redesigned authoring experience and AI-guided tools designed to simplify the process of connecting disparate data sources, which the company says remains the biggest bottleneck in analytics workflows. Price Action DOMO chart What's new in Magic ETL. The updated Magic ETL features a redesigned authoring interface intended to make data preparation faster and more accessible. Domo is also introducing AI-guided connectivity tools that help users connect new data sources without requiring custom integration work. The company framed the updates as enabling faster creation of AI agents - automated systems that can act on data across multiple business systems. Addressing data preparation challenges. Domo's announcement targets a well-known pain point: data preparation typically consumes the majority of time in analytics projects. By embedding AI guidance into the data connection and transformation process, Domo is attempting to lower the technical barrier for users who need to bring together data from multiple systems. The company positions these capabilities as part of its broader agentic AI strategy. Market and competitive context. Domo operates in a competitive business intelligence market alongside significantly larger players including Salesforce's Tableau, Microsoft's Power BI, and Google Cloud's Looker, all of which have introduced their own AI-assisted data tools. With a market capitalization around $149 million and trailing twelve-month net losses of roughly $77 million, Domo is considerably smaller than these incumbents. The stock has declined approximately 58% over the past 12 months, trading recently in the $15-$16 range within a 52-week range of $6.01 to $17.88. Analysts covering the stock have an average price target in the $11-$17 range across roughly 8-10 ratings, though none have commented specifically on this product update. Companies mentioned. Written with AI assistance, verified and edited by its team. Questions? Contact MLQ.ai.