Reimagine Pricing (häftad, eng)
Reimagine Pricing (häftad, eng)
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This book highlights the transformative potential of AI-enabled pricing, showing how it empowers businesses to unlock revenue, optimize customer experiences, and gain a competitive edge. By combining cutting-edge AI technologies with actionable strategies, it offers a comprehensive roadmap for organizations looking to move from reactive, manual pricing processes to proactive, data-driven systems that predict, adapt, and create value in real-time. Focused on practical applications, the book bridges the gap between technological innovation and real-world implementation.
It features a unique blend of strategic insights, technical examples—including Python code and AI workflows—and case studies from industries such as retail, travel, and manufacturing. These examples demonstrate how companies have increased margins, reduced churn, and driven customer loyalty by leveraging AI.
It also explores fast-evolving trends like autonomous systems, blockchain transparency, and ecosystem-driven pricing, making it essential reading for professionals eager to future-proof their pricing strategies. A key contribution of the book is its focus on the human element of AI adoption.
It addresses challenges like resistance to change, ethical considerations in pricing fairness, and building trust with both internal teams and customers. By reframing AI as an enabler rather than a replacement, the book equips pricing professionals to transition from tactical roles to strategic leadership, fostering collaboration between human intuition and machine intelligence. The book raises provocative questions: How can businesses harness AI without compromising ethics or transparency? What skills will pricing teams need to thrive in an AI-driven future? And how can organizations align AI pricing with broader strategic goals? It answers these questions by offering clear, actionable solutions and a vision for integrating AI into the heart of business operations, transforming pricing from a functional necessity into a strategic differentiator. Designed for business leaders, pricing experts, and AI enthusiasts, this book is not just a guide—it’s a call to action to embrace the future of AI-enabled pricing with confidence, creativity, and purpose.
It features a unique blend of strategic insights, technical examples—including Python code and AI workflows—and case studies from industries such as retail, travel, and manufacturing. These examples demonstrate how companies have increased margins, reduced churn, and driven customer loyalty by leveraging AI.
It also explores fast-evolving trends like autonomous systems, blockchain transparency, and ecosystem-driven pricing, making it essential reading for professionals eager to future-proof their pricing strategies. A key contribution of the book is its focus on the human element of AI adoption.
It addresses challenges like resistance to change, ethical considerations in pricing fairness, and building trust with both internal teams and customers. By reframing AI as an enabler rather than a replacement, the book equips pricing professionals to transition from tactical roles to strategic leadership, fostering collaboration between human intuition and machine intelligence. The book raises provocative questions: How can businesses harness AI without compromising ethics or transparency? What skills will pricing teams need to thrive in an AI-driven future? And how can organizations align AI pricing with broader strategic goals? It answers these questions by offering clear, actionable solutions and a vision for integrating AI into the heart of business operations, transforming pricing from a functional necessity into a strategic differentiator. Designed for business leaders, pricing experts, and AI enthusiasts, this book is not just a guide—it’s a call to action to embrace the future of AI-enabled pricing with confidence, creativity, and purpose.
| Format | Häftad |
| Omfång | 149 sidor |
| Språk | Engelska |
| Förlag | Springer International Publishing AG |
| Utgivningsdatum | 2025-06-12 |
| ISBN | 9783031904172 |
Artikelnummer
3750744
EAN
9783031904172
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