At Swiggy, we believe that trust is the cornerstone of customer loyalty and brand success. A strong, unwavering foundation of trust fosters meaningful connections with our users, ensuring they return…

Swiggy's blog serves as a platform for industry insights, covering a wide range of topics such as emerging food delivery trends, consumer preferences, market analysis, and innovations in the food service sector. Through  articles, case studies, and interviews with industry experts, Swiggy offers  knowledge and actionable strategies for restaurant owners, food entrepreneurs, and stakeholders in the food delivery ecosystem. Readers can learn about effective marketing techniques, operational best practices, customer engagement strategies, and technology advancements shaping the future of food delivery services.

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Swiggy has used on-device machine learning to improve brand visibility and trust. The company tackled challenges related to detecting Swiggy-branded gear on delivery executives and opted for an on-device solution using TensorFlow Lite to overcome latency and network dependence issues. The trained MobileNet model achieved high accuracy with low latency, ensuring real-time, efficient processing on low-end devices. Optimizations like selective frame processing and battery monitoring further enhanced the system's performance.

Enhancing Brand Visibility and Trust with On device ML models: A Journey at Swiggy