Optimizing Hub Operations through Artificial Intelligence
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Date
2025
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Publisher
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.