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DevOps Meets the Drive-Thru: How IBM WatsonX Orders is Powering AI-Driven QSR Efficiency
AI automation is transforming how quick-service restaurants manage thousands of daily orders while reducing costs and improving consistency
Key takeaways
IBM WatsonX Orders applies AI automation to QSR drive-thru and ordering workflows, reducing errors and improving throughput.
DevOps methodologies are being adapted to food service technology, enabling faster iteration and deployment of AI ordering systems.
AI-driven ordering can lower labor costs and improve order consistency across high-volume QSR locations.
The drive-thru experience is evolving faster than ever, thanks to AI-powered automation and DevOps-driven innovation. Quick-service restaurants (QSRs) process thousands of orders daily, facing challenges like labor shortages, operational inconsistencies, and the need for rapid adaptation to customer demands. With AI-backed solutions, brands can optimize their workflows, cut costs, and improve customer experience. IBM WatsonX Orders is at the forefront of this transformation, integrating DevOps and Site Reliability Engineering (SRE) strategies to refine AI-powered drive-thru systems in real-time.
But how do development teams ensure these AI-driven solutions can continuously iterate and improve to meet the fast-paced demands of the QSR industry? How does DevOps accelerate AI adoption in restaurant operations while ensuring reliability?
Welcome to Experts Talk. In the latest episode, host Daniel Litwin, the voice of B2B, sits down with Kunal Khanna, Head of DevOps & SRE at IBM WatsonX Orders, to explore the fusion of DevOps and AI in QSR operations. They discuss how AI-driven order management systems are reshaping the drive-thru experience, how DevOps methodologies enhance scalability and reliability, and what the future holds for AI in restaurant technology.
The key topics of discussion…
- AI Automation in QSRs: How AI-driven ordering systems can handle up to 90% of orders without human intervention, reducing labor costs and improving efficiency.
- The Role of DevOps & SRE: Strategies for rapid iteration, model retraining, and edge deployment to ensure seamless AI operations in high-pressure environments.
- Scalability & Future Innovations: The potential of agent-to-AI models and how IBM WatsonX is optimizing hardware and software for future-proof QSR solutions.
Kunal Khanna is a technology leader specializing in DevOps, Site Reliability Engineering (SRE), and AI-driven solutions, currently serving as Head of DevOps & SRE at IBM WatsonX Orders. With over a decade of experience, he has led large-scale deployment and automation initiatives at companies like McD Tech Labs, Poynt by GoDaddy, and Synopsys, focusing on AI-powered operational efficiencies. His expertise spans cloud infrastructure, edge computing, and CI/CD systems, making him a key driver in the evolution of AI-enhanced automation in QSR and enterprise technology.
About the author
Daniel Litwin is a journalist of multiple disciplines focused on finding and telling engaging stories for B2B communities. He has interviewed executives from Fortune 500 companies including Honeywell, Microsoft, John Deere, and Chipotle, and leads editorial direction at MarketScale. Litwin hosts weekly shows and podcasts while helping develop new content approaches across the MarketScale platform. He holds a B.J. in Radio/Television Reporting/Anchoring and a B.A. in Spanish from the University of Missouri-Columbia.
