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AI in Quick Commerce

Zоkir MamadiyarоvTermez University of Economics and Service, UzbekistanSindor SapaevUrgench State University, UzbekistanGularam MasharipovaMunir AhmadSurvey of Pakistan, Islamabad, Pakistan
ABI

Аннотация

This chapter explores how AI underpins the operational backbone of Quick commerce (Q-commerce), driving innovation and redefining convenience in modern digital retail. Q-commerce represents a transformative shift in the retail and e-commerce landscape, emphasizing ultra-fast delivery within minutes. Driven by rising consumer expectations for instant gratification and seamless service, Q-commerce has gained momentum in urban areas, especially for groceries, personal care, and medicines. Central to its success is the integration of Artificial Intelligence, which enables real-time demand forecasting, dynamic route optimization, micro-inventory management, and personalized customer interactions. AI technologies such as machine learning, predictive analytics, and computer vision empower Q-commerce platforms to operate with precision, speed, and scalability.

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Показатели — AkademScholar · Скоро