This chapter explores how quantum computing can revolutionise the quick commerce industry, focusing on logistics and supply chain management to boost efficiency and sustainability. Quick commerce, an emerging trend in e-commerce, promises incredibly fast delivery speeds to satisfy ever-growing consumer expectations. But this rapid expansion isn’t without its hurdles, particularly when it comes to maintaining smooth operations and being eco-friendly. Quantum computing steps in as a potential game-changer, bringing its powerful processing abilities to the table. Integrating quantum computing into quick commerce could transform logistics operations, from planning delivery routes to managing warehouse resources. It's not just about speeding things up; it's about rethinking the entire supply chain, including how we handle inventory and the final leg of delivery. Quantum algorithms, which are built on the principles of quantum mechanics, can help companies predict demand more accurately, restock shelves faster, cut down on waste, and enhance overall efficiency. These algorithms are especially good at optimising routes in real time, considering various factors to ensure quicker, more dependable deliveries. This study aims to bridge the gap between the theory and practice of quantum computing in logistics. It examines how quantum computing can be used, its possible benefits, and the challenges it might face in the quick commerce sector. The chapter argues that quantum computing could usher in a new era of logistics management characterised by unprecedented efficiency in routing deliveries, controlling inventory, and allocating resources. Highlighting the use of quantum algorithms for dynamic routing and demand forecasting underscores the potential for creating a more agile and eco-friendly delivery system. Ultimately, this research shines a light on how we can turn the conceptual promise of quantum computing into real-world improvements in quick commerce logistics, advocating for a future where quantum computing leads to a sustainable and efficient quick commerce ecosystem.
This chapter explores how quantum computing can revolutionise the quick commerce industry, focusing on logistics and supply chain management to boost efficiency and sustainability. Quick commerce, an emerging trend in e-commerce, promises incredibly fast delivery speeds to satisfy ever-growing consumer expectations. But this rapid expansion isn’t without its hurdles, particularly when it comes to maintaining smooth operations and being eco-friendly. Quantum computing steps in as a potential game-changer, bringing its powerful processing abilities to the table. Integrating quantum computing into quick commerce could transform logistics operations, from planning delivery routes to managing warehouse resources. It's not just about speeding things up; it's about rethinking the entire supply chain, including how we handle inventory and the final leg of delivery. Quantum algorithms, which are built on the principles of quantum mechanics, can help companies predict demand more accurately, restock shelves faster, cut down on waste, and enhance overall efficiency. These algorithms are especially good at optimising routes in real time, considering various factors to ensure quicker, more dependable deliveries. This study aims to bridge the gap between the theory and practice of quantum computing in logistics. It examines how quantum computing can be used, its possible benefits, and the challenges it might face in the quick commerce sector. The chapter argues that quantum computing could usher in a new era of logistics management characterised by unprecedented efficiency in routing deliveries, controlling inventory, and allocating resources. Highlighting the use of quantum algorithms for dynamic routing and demand forecasting underscores the potential for creating a more agile and eco-friendly delivery system. Ultimately, this research shines a light on how we can turn the conceptual promise of quantum computing into real-world improvements in quick commerce logistics, advocating for a future where quantum computing leads to a sustainable and efficient quick commerce ecosystem.
Quantum computing presents a transformative opportunity for optimizing supply chain and logistics operations by addressing complex combinatorial challenges beyond the capabilities of classical computing. Traditional supply chain optimization relies on heuristic and mathematical models, which struggle with large-scale problems such as vehicle routing, warehouse management, demand forecasting, and last-mile delivery. Quantum computing, leveraging qubits and principles like superposition and entanglement, enables exponential computational power and efficiency. This paper explores quantum computing's applications in logistics, including quantum annealing for route optimization, fleet management, and supply chain network design. Companies like IBM, Google, and D-Wave are advancing quantum algorithms, with hybrid quantum-classical approaches emerging as practical solutions. While large-scale commercial adoption is still in its infancy, research demonstrates promising results in reducing operational costs, improving sustainability, and enhancing decision-making. The study synthesizes over 80 published works on quantum computing's role in logistics, providing insights into emerging technologies, challenges, and future potential. As the field progresses, early adoption and pilot programs will be crucial for businesses to gain a competitive edge in an increasingly complex global supply chain landscape. Quantum computing has the potential to redefine efficiency, cost reduction, and real-time adaptability in logistics and supply chain management.
This chapter explores the transformative potential of quantum computing in the context of real-time route optimization for supply chains. In today's dynamic business environment, efficient logistics operations are essential for meeting customer demands while minimizing costs and maximizing efficiency. Traditional route optimization techniques often struggle to adapt to rapidly changing variables and dynamic environments. However, quantum computing offers a paradigm shift by harnessing the principles of superposition and entanglement to explore multiple route possibilities simultaneously and identify the most optimal solutions in real-time. This chapter examines the principles of quantum computing and their applications in route optimization algorithms tailored for supply chain logistics. Through case studies and practical examples, the chapter demonstrates how quantum computing can revolutionize route planning and scheduling, leading to reduced transportation costs, improved delivery times, and enhanced overall supply chain performance.
This chapter examines the relationship between supply chain management and quantum computing, with a particular emphasis on real-time decision-making in supply chain operations. Quantum computing offers a solution to traditional supply chain decision-making by enabling faster computations at unprecedented speeds. This technology can improve inventory management, transportation routing, and demand forecasting. However, it faces challenges in real-time decision-making due to compatibility with current technologies and hardware limitations. The chapter explores the fundamentals of quantum computing and its potential applications in supply chain management, highlighting real-time decision-making-friendly quantum algorithms and quantum-inspired optimization strategies. Despite these challenges, quantum computing offers revolutionary possibilities for enhancing supply chain flexibility and effectiveness.
The integration of quick commerce with advanced technologies like quantum computing and artificial intelligence represents a significant shift in retailing. This paper explores how quantum AI could transform supply chain management and operational frameworks in the quick-commerce domain. The study employs a conceptual research design based on a typology approach and synthesises existing literature to identify key opportunities, challenges, and implications of quantum AI adoption. The findings suggest that businesses must leverage these technologies to stay competitive, unlocking operational efficiencies and enhancing real-time consumer engagement. However, successful adoption also requires addressing ethical, social, and environmental dimensions to ensure long-term sustainability. As quantum technologies drive innovation, they offer the potential for a more sustainable and efficient quick-commerce ecosystem. This paper contributes to the growing discourse by providing a framework for integrating quantum AI into business strategies.
This study explores the profound impact of integrated quantum computing on the landscape of logistics operations. Investigating the core principles of quantum computing, we unveil its potential applications in addressing intricate challenges such as route optimization, supply chain efficiency, and demand forecasting. The research critically examines existing constraints and ethical considerations associated with quantum computing implementation in logistics. Envisioning future advancements, this study foresees a scenario where quantum technologies act as catalysts for unprecedented efficiency, improved decision-making processes, and a redefined approach to predictive analytics within the logistics industry. The collaborative journey toward quantum integration involves strategic steps, including the development of quantum awareness, the establishment of infrastructure, and the fostering of partnerships between logistics entities and quantum computing providers. This chapter offers a comprehensive overview, guiding logistics professionals toward a quantum future where innovation and ethical standards converge for a transformative leap in operations.
Abstract The quantum supply chain transforms logistics and supply chain management by harnessing quantum technologies to tackle longstanding challenges in optimization, resilience, and real-time decision-making. Through qubits and superposition, quantum computers deliver exponential speedups for complex problems including route optimization, unit load device (ULD) and pallet configuration, disruption management, and large-scale predictive modeling. This paper investigates the integration of quantum computing—especially quantum annealing—into supply chain operations. It highlights practical applications such as rapid multi-source data analysis, dynamic alternative routing during disruptions, and greater efficiency in high-velocity logistics. Grounded in established resilience frameworks and emerging technologies, the research illustrates how quantum solutions can significantly cut costs, boost adaptability, and strengthen global supply chain robustness. Drawing from studies on resilience strategies, automotive battery advancements, and intelligent transportation systems, this work positions quantum computing as a vital enabler for next-generation logistics while discussing opportunities, limitations, and the shift from theoretical promise to real-world implementation. Keywords Quantum Computing, Quantum Supply Chain; Logistics Optimization; Quantum Annealing; Supply Chain Resilience; Hybrid Quantum-Classical Algorithms; Unit Load Device Optimization; Disruption Management Quantum Routing.