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.

• Rakshit Daga
• Raghavendra Bhat
• Nitin Bajaj
• D. Baskaramoorthy

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