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 Architectural Patterns and Techniques for Developing IoT Solutions

You're reading from  Architectural Patterns and Techniques for Developing IoT Solutions

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803245492
Pages 304 pages
Edition 1st Edition
Languages
Author (1):
Jasbir Singh Dhaliwal Jasbir Singh Dhaliwal
Profile icon Jasbir Singh Dhaliwal

Table of Contents (20) Chapters

Preface 1. Part 1: Understanding IoT Patterns
2. Chapter 1: Introduction to IoT Patterns 3. Chapter 2: IoT Patterns for Field Devices 4. Chapter 3: IoT Patterns for the Central Server 5. Part 2: IoT Patterns in Action
6. Chapter 4: Pattern Implementation in the Consumer Domain 7. Chapter 5: Pattern Implementation in the Smart City Domain 8. Chapter 6: Pattern Implementation in the Retail Domain 9. Chapter 7: Pattern Implementation in the Manufacturing Domain 10. Chapter 8: Pattern Implementation in the Agriculture Domain 11. Part 3: Implementation Considerations
12. Chapter 9: Sensor and Actuator Selection Guidelines 13. Chapter 10: Analytics in the IoT Context 14. Chapter 11: Security in the IoT Context 15. Part 4: Extending IoT Solutions
16. Chapter 12: Exploring Synergies with Emerging Technologies 17. Chapter 13: Epilogue 18. Index 19. Other Books You May Enjoy

An overview of the retail domain

The term retail transactions refers to the transactions where a product is sold directly to an end consumer for their own consumption. The retail industry is one of the fastest-growing industries and is marked by intense competition among existing players. Also, shoppers have high bargaining power due to the non-differentiated nature of the goods and the presence of multiple suppliers. All of this makes it extremely difficult for retailers to attract and retain a loyal customer base.

Another interesting aspect is the huge difference of scale at which retailers operate – ranging from tiny neighborhood mom-and-pop stores to all the way to mega stores. Another key feature of this domain is that shopper behavior doesn’t change drastically in short term, and this makes it easier for retailers to run analytics on the purchase history and provide more reasonable recommendations.

The domain has seen several transformations since its inception...

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