Optimizing Hub Operations through Artificial Intelligence
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Date
2025
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NHCE
Abstract
This report titled “Optimizing Hub Operations through Artificial Intelligence” provides a comprehensive overview of how Artificial Intelligence (AI) can revolutionize supply chain and logistics operations at the hub level, particularly within fast-paced quick-commerce ecosystems. The report is a result of my three- month hands-on internship experience as a Deputy Hub Manager at Zepto, a company renowned for its promise of 10-minute grocery deliveries. The objective of this project is to combine theoretical research on AI applications with practical insights from real-time operational exposure, thereby creating a roadmap for AIdriven efficiency in First Mile (in-store operations) and Last Mile (delivery) logistics.
Context and Industry Landscape
Zepto operates in the quick-commerce (Q-commerce) domain, a rapidly growing segment in the retail and e-commerce space, where the core offering is ultra-fast delivery of daily essentials. The success of this model hinges on the seamless integration of technology, manpower, and logistics at the micro- fulfillment hub level. With consumer expectations rising and competition intensifying, optimizing operations using intelligent systems has become not just a value-add, but a strategic imperative.
During my internship, I was entrusted with responsibilities that spanned across both First Mile and Last Mile logistics. These experiences gave me in-depth exposure to operational complexities—ranging from inventory inaccuracies and rider management issues to order prioritization, real-time performance monitoring, and delivery delays.
This executive summary outlines the core challenges faced in hub operations, the areas most suitable for AI adoption, and the expected improvements in performance, speed, and cost savings.