Scaling CV Checkout in Grocery Stores with ISV and OEM Collaboration

 

The grocery retail industry in India is undergoing a major transformation, driven by AI-powered solutions that bridge the gap between online and offline experiences. In this episode of To the Edge and Beyond, Michelle Dawn Mooney speaks with Rakshit Daga, Chief Product & Technology Officer at BigBasket; Raghavendra Bhat, Principal Engineer at Intel Corporation; Nitin Bajaj, Director, SMG at Intel Corporation; and D. Baskaramoorthy, Vice President Sales at Posiflex India.

Rakshit Daga shares how BigBasket uses computer vision-based self-checkout to streamline operations in physical stores. “AI helps us provide a seamless and efficient shopping experience for customers. Our edge-based checkout systems identify products, weigh them, and bill instantly without human intervention. This innovation drives operational efficiency while delighting customers.”

To achieve real-time performance, Raghavendra Bhat discusses how Intel’s Tiger Edge Platform powers AI inferencing at the edge. “Moving AI closer to the store reduces latency and bandwidth costs while enabling a faster checkout process. Intel’s edge solution ensures cloud-like ease of management, giving retailers greater flexibility and scalability.”

Hardware plays a pivotal role in this ecosystem. D. Baskaramoorthy highlights how Posiflex customizes dual OS POS systems to meet BigBasket’s specific requirements. “Our hardware integrates weighing scales, scanners, and AI-driven recognition into a single device, providing a seamless sub-30-second checkout experience that keeps customers coming back.”

Nitin Bajaj emphasizes the power of collaboration: “Intel’s ecosystem strategy connects technology partners to build innovative, scalable solutions. The collaboration between Intel, BigBasket, and Posiflex demonstrates how AI can transform the retail landscape.”

By integrating AI and edge computing, this partnership sets new benchmarks for omnichannel retail, enhancing customer satisfaction and operational efficiency.

Subscribe to To The Edge & Beyond podcast on Apple Podcasts and Spotify to stay updated with more insights from leaders in the Intel and Edge Network group.

Recent Episodes

As AI infrastructure spreads beyond tech hubs and into America’s heartland, companies face a new imperative: not just to build facilities—but to build trust, local partnerships, and long-term value for the communities that host them. In Ellendale, North Dakota, Applied Digital’s Polaris Forge 1 campus has become a case study in what rural revitalization…

As demand for artificial intelligence continues to soar, the AI infrastructure needed to power it is scaling just as rapidly. A 2024 report from the International Data Corporation (IDC) forecasts that global spending on AI infrastructure will exceed $200 billion by 2028, driven by an explosion in compute-heavy applications like large language models and…

AI workloads are redefining the limits of data center design and infrastructure. Legacy data centers, built for traditional co-location, cannot handle the density, thermal demands, or power dynamics of accelerated computing. The AI boom has upended the data center sector, forcing a rapid shift to liquid-cooled racks as facilities pivot from sub-10kW racks to…