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.
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.
Abstract The rapid advancement of technology, coupled with the global interconnectivity, has led to the emergence of quantum commerce (Q-commerce) as a significant paradigm shift in the business world. Quantum commerce represents a new form of digital commerce that combines aspects of quantum computing, artificial intelligence (AI), block chain, and next-generation networks. This transformative model promises to revolutionize the way businesses interact with customers, manage data, and optimize operations. The global impact of quantum commerce will be far-reaching, influencing various industries, economic dynamics, and business models. This note explores the key components of quantum commerce, its potential impacts on businesses globally, and the opportunities and challenges it will bring in the coming years. Key-words: Quantum Computing, Quantum Technology, Business Transformation, AI and Quantum Integration, Data Security, Quantum Cryptography, Supply chain Optimization, Financial Service Innovation, Disruptive Innovation, Global Trade, Digital Ecosystems, Quantum Algorithms, Block chain and Quantum, Market Efficiency, Competitive Advantage Business Intelligence, Automation, Tech Adoption, Cross-border commerce, Cyber security etc.
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 paper explores the convergence of quantum-accelerated intelligence, artificial intelligence (AI), machine learning (ML), and blockchain technology to revolutionize digital trade within the eCommerce sector. With the rise of quantum computing, AI and ML techniques are poised for enhanced scalability, enabling more efficient decision-making, personalized customer experiences, and optimized supply chain management. The paper examines how quantum computing can dramatically improve data processing capabilities, allowing for faster and more accurate AI-driven algorithms in real-time eCommerce environments. Furthermore, blockchain technology is discussed in terms of its potential to ensure transparent, secure, and immutable transaction records, fostering trust between consumers and vendors. The integration of quantum computing into AI and blockchain could mitigate existing limitations in computational power and data security, offering transformative benefits for eCommerce platforms. Through an in-depth analysis of current advancements and theoretical models, this study demonstrates how these technologies, when synergized, can create a robust ecosystem for secure, scalable, and efficient digital trade, ultimately reshaping the future of global commerce.
This paper explores the convergence of quantum-accelerated intelligence, artificial intelligence (AI), machine learning (ML), and blockchain technology to revolutionize digital trade within the eCommerce sector.With the rise of quantum computing, AI and ML techniques are poised for enhanced scalability, enabling more efficient decisionmaking, personalized customer experiences, and optimized supply chain management.The paper examines how quantum computing can dramatically improve data processing capabilities, allowing for faster and more accurate AI-driven algorithms in real-time eCommerce environments.Furthermore, blockchain technology is discussed in terms of its potential to ensure transparent, secure, and immutable transaction records, fostering trust between consumers and vendors.The integration of quantum computing into AI and blockchain could mitigate existing limitations in computational power and data security, offering transformative benefits for eCommerce platforms.Through an indepth analysis of current advancements and theoretical models, this study demonstrates how these technologies, when synergized, can create a robust ecosystem for secure, scalable, and efficient digital trade, ultimately reshaping the future of global commerce.
Sustainable supply chains are becoming increasingly important as businesses strive to reduce environmental impact while maintaining efficiency and profitability. One emerging solution is Quantum Intelligence (Quantum AI)—a powerful combination of quantum computing and artificial intelligence that can handle highly complex and data-intensive supply chain problems. Quantum AI leverages unique quantum principles such as superposition and entanglement to explore a vast number of possible solutions simultaneously. This enables better decision-making in areas like production scheduling, inventory management, and emissions forecasting. As a result, organizations can optimize delivery routes, reduce operational costs, and significantly lower carbon emissions, contributing to more sustainable and environmentally responsible supply chains. A key approach in this field is the hybrid quantum-classical model, which combines the data-processing strengths of classical computing with the advanced computational capabilities of quantum systems. This hybrid approach helps overcome current limitations in quantum hardware, such as noise, limited qubits, and high error rates, making Quantum AI more practical for real-world applications. In addition, integrating technologies like the Internet of Things (IoT), blockchain, and digital twins further enhances supply chain performance. IoT devices provide real-time data from sensors, blockchain ensures transparency and traceability, and digital twins allow simulation of supply chain operations to predict environmental impacts and test different scenarios. Overall, Quantum AI represents a promising step toward building smarter, more efficient, and sustainable supply chains that can adapt to modern challenges while supporting global environmental goals.
This paper explores the potential of integrating quantum computing, artificial intelligence (AI), and blockchain technology to revolutionize digital trade and ecommerce. As digital trade expands globally, the demand for enhanced security, efficiency, and intelligence in online transactions grows exponentially. Quantum computing offers unparalleled computational power, enabling faster and more secure processing of complex algorithms, which could address current limitations in cryptographic techniques. AI contributes by optimizing decision-making, personalizing user experiences, and enhancing fraud detection. Blockchain, with its decentralized and immutable nature, ensures transparency and trust in digital transactions, further enhancing security. This research discusses the convergence of these technologies, their synergies in creating intelligent, scalable, and secure eCommerce ecosystems, and the challenges that need to be addressed for practical implementation. Additionally, the paper investigates case studies demonstrating early-stage applications of these technologies in digital trade, while considering their potential in shaping the future of global commerce. Key challenges such as quantum resistance in blockchain, AI-driven automation, and interoperability across systems are critically analyzed. This study provides a comprehensive vision of the future landscape of digital trade, emphasizing the importance of integrating quantum computing, AI, and blockchain for developing trustworthy and efficient digital commerce platforms.