Tuesday, April 28, 2026
Casey’s Expands SoundHound AI to 2,600 Stores
The GMA Admin
Casey’s renews and expands its SoundHound AI partnership to 2,600+ U.S. stores, handling 21M+ guest interactions with voice-powered ordering agents.
Casey’s Doubles Down on AI: SoundHound Partnership Now Spans Over 2,600 Stores Across the U.S.
The convenience retail industry has long been wrestling with a persistent operational challenge — how do you maintain fast, accurate, and consistent customer service across thousands of locations simultaneously, especially during peak hours when phone lines are flooded with food orders? For Casey’s, one of America’s most recognized convenience store chains, the answer has been sitting at the intersection of voice technology and artificial intelligence. In a move that signals a deeper commitment to AI-driven operations, Casey’s has officially expanded and renewed its long-standing partnership with SoundHound AI, Inc. (Nasdaq: SOUN), extending the deployment of AI-powered ordering agents to more than 2,600 store locations across the United States. This announcement, made on April 23, 2026, is not just a business deal renewal — it is a statement about where the future of retail customer experience is heading, and GMA Council believes it deserves the full attention of every martech and retail technology leader watching the AI adoption curve.
What makes this development particularly noteworthy is the scale at which it has already delivered results. Before this expanded agreement was even formalized, SoundHound’s AI-powered ordering agents had already handled more than 21 million guest interactions on behalf of Casey’s — a staggering figure that reflects both the consumer adoption of voice-based ordering and the operational reliability of the underlying technology. These aren’t experimental deployments limited to a handful of pilot stores. This is enterprise-scale AI operating at full commercial velocity, processing millions of real food orders across one of the most geographically distributed convenience retail chains in the country.
From Pilot to Platform: How the Partnership Evolved
Casey’s and SoundHound AI did not arrive at this expanded deal overnight. Their relationship has been built over several years of iterative collaboration, where the technology was refined, tested, and ultimately validated against the harsh realities of real-world retail environments. What began as an exploration of AI-assisted ordering has matured into a full-scale operational deployment that now touches approximately 90% of Casey’s total store footprint of nearly 2,900 locations. That kind of adoption rate within a single retail chain is rare in the enterprise technology world, and it speaks volumes about the confidence Casey’s leadership has placed in the SoundHound platform.
The expanded deal represents far more than a simple contract renewal. It reflects a strategic decision to deepen the AI stack within Casey’s operations and treat voice-based AI not as an experiment but as a core business infrastructure. SoundHound’s voice AI technology has been specifically trained on Casey’s menu, which means it understands not just general food-ordering vocabulary but the specific items, modifiers, promotions, and specials that Casey’s customers ask about every day. This level of customization is what separates a functional AI tool from a genuinely transformative one. Customers interacting with these AI agents are not navigating a clunky IVR system — they are engaging in natural, conversational dialogue that mirrors how they would speak with a human team member behind the counter.
The Technology Behind the Orders: How SoundHound’s AI Agents Work
At the heart of this partnership is SoundHound’s proprietary conversational AI platform, which powers voice ordering agents capable of understanding and responding to natural human speech in real time. When a customer calls a Casey’s store to place a pizza order, the AI agent picks up, processes the request, answers questions about the menu, handles any modifications or add-ons, and routes the confirmed order directly to the kitchen — all without requiring a human employee to pick up the phone. This frees up in-store staff to focus on food preparation, customer service within the store, and maintaining the high-quality experience that Casey’s has built its brand around.
The system is particularly valuable during peak meal times — lunch rushes, dinner hours, and weekend evenings — when the volume of incoming calls can overwhelm even a well-staffed team. Before the AI agents were deployed, many of these calls likely resulted in missed orders, long hold times, or frustrated customers who simply hung up and went elsewhere. The AI eliminates those failure points entirely. SoundHound’s technology ensures that every call is answered, every order is captured, and every customer interaction is handled with consistency and speed. Beyond just taking orders, the AI agents are also equipped to answer menu-related questions, share information about ongoing specials and promotions, and assist with a range of common store inquiries — making them genuinely multi-functional retail assistants rather than narrow-purpose bots.
From a martech infrastructure perspective, what SoundHound has built here is a compelling example of domain-specific AI done right. The model is not a generic large language model thrown at a retail problem. It has been purpose-trained on Casey’s specific menu and business context, which dramatically improves accuracy, reduces hallucinations, and ensures that the customer experience remains on-brand and operationally sound. This is the kind of responsible AI deployment that GMA Council consistently advocates for — technology that is customized, validated, and measurable rather than speculative and broad.
Casey’s as a Retail AI Leader: What the Numbers Tell Us
To understand the magnitude of this partnership, it helps to situate Casey’s within the broader retail landscape. Casey’s is not a small regional chain — it is the third-largest convenience retailer in the entire United States, and it also holds the distinction of being the fifth-largest pizza chain in the country. With close to 2,900 stores spread predominantly across the Midwest and rural America, Casey’s serves millions of customers daily, many of whom rely on the chain as a primary source of hot food in areas where restaurant options are limited. The stakes for getting the ordering experience right are therefore extremely high, and the operational complexity of managing food service at that scale is genuinely formidable.
The figure of 21 million guest interactions is the most striking data point in this announcement, and it deserves to be examined closely. Every single one of those interactions represents a real customer who engaged with an AI agent, placed an order, asked a question, or sought information — and did so successfully enough that Casey’s chose to not only continue the program but dramatically expand it. In the world of enterprise AI deployments, where proof of concept often remains elusive and scalability is a persistent concern, 21 million successful interactions is an extraordinarily powerful validation signal. It tells the market that this technology works, that customers accept it, and that the operational benefits are real and quantifiable.
Sanjeev Satturu, Senior Vice President and Chief Information Officer at Casey’s, put it plainly when he noted that expanding the partnership with SoundHound AI allows Casey’s to scale a proven solution that improves the guest ordering experience while simultaneously helping team members operate more effectively across hundreds of locations. That dual benefit — better customer experience and better employee productivity — is precisely the value proposition that AI advocates have been promising for years, and Casey’s appears to be delivering it at a scale few retailers have achieved.
Beyond Ordering: AI Reshaping Casey’s Entire Operations Playbook
What is particularly interesting about Casey’s AI strategy is that the SoundHound partnership is not an isolated initiative. Casey’s has been quietly but deliberately building out a broader AI infrastructure that touches multiple dimensions of its business. In addition to using AI for customer-facing voice ordering, the company has also been leveraging artificial intelligence to optimize and manage contract-related tasks, including vendor agreements, legal documentation, and procurement contracts. This signals that Casey’s leadership views AI not as a single-use tool for one department but as a horizontal capability that can be embedded across the entire value chain of the business.
This kind of enterprise-wide AI thinking is exactly what separates organizations that will lead in the next decade from those that will struggle to catch up. Convenience retail is an inherently operations-heavy business where margins are thin, customer expectations are rising, and labor costs continue to climb. AI offers a genuine path to doing more with existing resources — not by replacing human workers but by absorbing the repetitive, high-volume tasks that consume time without requiring human judgment, thereby allowing people to focus on the higher-value interactions that build genuine customer loyalty. Casey’s appears to have internalized this philosophy fully, and their expanded investment in SoundHound is a direct expression of it.
For the broader martech and retail technology community, this development should serve as a reference point and a benchmark. SoundHound AI has now powered voice and conversational AI experiences at more than 15,000 locations across multiple brands and industries. The Casey’s deployment represents its most concentrated and publicly validated single-brand rollout, and the learnings from this partnership will undoubtedly shape how the company approaches future enterprise deals across quick-service restaurants, hospitality, and retail.
GMA Council’s Perspective: What Martech Leaders Should Take Away
At GMA Council, we track the evolving intersection of marketing technology, customer experience, and AI-driven automation because we believe that understanding these shifts is essential for every CMO, CTO, and growth leader operating in today’s competitive landscape. The Casey’s and SoundHound AI story is not just a company-specific news item — it is a window into a larger structural transformation happening across the entire retail and foodservice sector.
Voice AI, for the longest time, felt like a technology that was perpetually “almost ready” — promising in demos but unreliable in practice. The 21 million interactions milestone at Casey’s is one of the clearest signals yet that this technology has crossed the threshold from experimental to essential. We are now in a phase where AI-powered voice ordering is becoming a baseline expectation rather than a differentiating luxury, especially in high-volume food-service environments where speed and accuracy directly affect revenue and customer satisfaction scores.
The martech implications are significant. As AI agents become more deeply embedded in customer-facing operations, the data generated by those interactions becomes an extraordinarily valuable asset. Every call handled by SoundHound’s AI at a Casey’s store is a data point — about ordering patterns, menu preferences, peak demand hours, common questions, and promotional effectiveness. When that data is properly channeled back into marketing intelligence and operational planning, it creates a feedback loop that continuously improves both the customer experience and the business outcomes. This is the kind of closed-loop martech architecture that GMA Council’s AI Council division has been advocating as a best-practice framework for enterprise retail brands.
The SoundHound and Casey’s partnership also carries an important message for brands that are still sitting on the fence about AI adoption. The convenience retail sector, which has historically been slow to adopt cutting-edge technology compared to sectors like e-commerce or fintech, is now producing case studies that should make hesitation uncomfortable. When a chain operating in rural Midwest America has deployed conversational AI across 2,600 locations and handled 21 million interactions successfully, the “it’s not ready for our industry” argument becomes very difficult to sustain. The technology is ready. The consumer acceptance is there. The operational benefits are documented. What remains is organizational will and strategic prioritization — and for brands that have not yet moved, the window for a first-mover advantage is narrowing quickly.
GMA Council is India’s leading martech intelligence platform, covering AI, E-Commerce, Digital Marketing, Brand Safety, and Content & Creative through its five specialized councils. We deliver actionable insights, benchmarks, and research for CMOs, CTOs, and growth leaders navigating the future of marketing technology.