Retail Strategy 5.0
Quantum Technologies and Intelligent Decision-Making
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- Description
- Contents
- About
Retail Strategy 5.0 examines how quantum computing, quantum-inspired optimisation, and intelligent analytics are set to reshape the strategic foundations of contemporary retail. As retailers confront volatile supply chains, data-intensive operations, sustainability imperatives, and increasingly personalised consumer expectations, conventional digital and AI-driven approaches are reaching the limits of their capacity to support large-scale, real-time decision-making. This timely work introduces Retail Strategy 5.0 as a forward-looking framework for understanding how quantum technologies can work alongside artificial intelligence, machine learning, IoT, and human-centric design to address complex challenges in pricing, inventory management, demand forecasting, personalisation, fraud detection, and resilient supply chain orchestration.
Suitable for academics, researchers, advanced students, and retail professionals, the book bridges emerging computational theory and practical strategic application. It explains foundational quantum concepts in an accessible manner while developing conceptual models, decision-making taxonomies, use cases, and future research directions for quantum-enabled retail ecosystems. By positioning quantum technologies not simply as technical innovations but as strategic enablers of sustainable, adaptive, and intelligent commerce, Retail Strategy 5.0 offers a timely and authoritative reference for readers seeking to understand why these technologies matter, how they may be adopted, and what role they will play in shaping the next generation of retail strategy.
Section I. Foundations of Retail Strategy 5.0
- Chapter 1. Cloud-Driven Transformation Architectures: Pioneering Agile Enterprise Models for the Next Generation; Jalaja Enamala and Venkataramana Karri
- Chapter 2. Smart Retail Transformation through Edge Computing and Analytics in IoT Applications; Pratibha Garg, Nishant Kumar, Neha Gupta, and Shitiz Upreti
- Section II. Advanced Intelligent & Quantum Technologies
- Chapter 3. Quantum Computing: Advancing Optimization in the Retail Sector; Shitiz Upreti, Saroj Date, Sachin, Vaibhav Sharma, Ranjana Sharma, and Komal Gupta
- Chapter 4. Next-Gen Retail Intelligence: Quantum Technologies within Legal and Ethical Boundaries; Deepak R. Gupta, Vaishali Patil, Naresh Poturaju, Saroj Kumar, and Shitiz Upreti
- Section III. AI-Driven Consumer Intelligence and Experience
- Chapter 5. Neuro-AI and Consumer Psychology: Designing Hyper-Personalized Retail Experiences; Deepak R. Gupta, Ameya Ambulkar, Rahil Dosani, Saurabh Panchamia, and Komal Gupta
- Chapter 6. Behavioural Competencies for AI-Augmented Customer Experience; Pooja A Basu, Simarjeet Makkar, Safia Farooqui, Agnieszka Góra-Błaszczykowska, and G. V. Radhakrishnan
- Chapter 7. Ethical Marketing Analytics: Transparency and Explainable Decisions in Retail Strategy; Deepak R. Gupta, Santosh Vasudeo Talavdekar, Rajesh Verma, and Khushboo Malik
- Section IV. Financial Intelligence and Risk in Retail 5.0
- Chapter 8. Impact of AI on Retail Sector Financial Management; Saurabh Panchamia, Shoaib Mohammed, Ansari Mehrunnisa Hafiz, Farheen Khan, and Faraz Ahmad
- Chapter 9. AI Impact on Working Capital Management in Retail Industry; Kushagra Goel, Vinod Nair, Raghda Raafat, and Leontia Pertila Fernandes
- Chapter 10. Risk Management in Tech-Driven Retail Finance: Cybersecurity and Fraud Prevention; Saurabh Panchamia, Vinod Nair, Pankaj Gupta, G. V. Radhakrishnan, and Sachin
- Chapter 11. Smart Contracts in Retail Transactions: Enforceability and Legal Recognition; Parul Lakhan, Khushboo Malik, Anumeha Sahai, and Anusha Chaudhary
- Section V. Workforce Transformation and Human-Centric Retail
- Chapter 12. Upskilling the Retail Workforce 5.0: Preparing Talent for AI-Augmented Ecosystems; Pooja A Basu, Simarjeet Makkar, Divya Chauhan, and Agnieszka Góra-Błaszczykowska
- Chapter 13. Retail HRM in the Digital Era: AI, Employee Experience, and Ethical Workforce Transformation; Simarjeet Makkar, Pooja A Basu, Fariyah Banu Jamaluddin Saiyad, and Akhilesh Tiwari
- Chapter 14. Human-Centric Tech in Retail: Managing Ethics, Emotions, and Economic Value in the Age of AI; Shilpa Verma, Ashwini Shejwal, Riddhi Vira, Safia Farooqui, and Pukhraj Agarwal
Shubham Mahajan is an Assistant Professor at Amity University Haryana, India.
Kamal Upreti is Associate Professor in the Department of Computer Science at CHRIST (Deemed to be University), Delhi NCR, India.
Ganesh V. Radhakrishnan is Senior Professor of Economics and Finance at KIIT School of Management, Kalinga Institute of Industrial Technology (KIIT) University, India.
Agnieszka Góra-Błaszczykowska is a Professor of Law at the War Studies University in Warsaw and a Judge in the Labour and Social Insurance Chamber of the Supreme Court of Poland.