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AI-Powered Commerce

You're reading from   AI-Powered Commerce Building the products and services of the future with Commerce.AI

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781803248981
Length 256 pages
Edition 1st Edition
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Authors (2):
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Andy Pandharikar Andy Pandharikar
Author Profile Icon Andy Pandharikar
Andy Pandharikar
Frederik Bussler Frederik Bussler
Author Profile Icon Frederik Bussler
Frederik Bussler
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1:Benefits of AI-Powered Commerce
2. Chapter 1: Improving Market Opportunity Identification FREE CHAPTER 3. Chapter 2: Creating Product Ideas 4. Chapter 3: Understanding How to Predict Industry-Wide Trends Using Big Data 5. Section 2:How Top Brands Use Artificial Intelligence
6. Chapter 4: Applying AI for Innovation – Luxury Goods Deep Dive 7. Chapter 5: Applying AI for Innovation – Wireless Networking Deep Dive 8. Chapter 6: Applying AI for Innovation –Consumer Electronics Deep Dive 9. Chapter 7: Applying AI for Innovation – Restaurants Deep Dive 10. Chapter 8: Applying AI for Innovation – Consumer Goods Deep Dive 11. Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions
12. Chapter 9: Delivering Insights with Product AI 13. Chapter 10: Delivering Insights with Service AI 14. Chapter 11: Delivering Insights with Market AI 15. Chapter 12: Delivering Insights with Voice Surveys 16. Other Books You May Enjoy

Summary

In this chapter, we learned about the key challenges of consumer electronics brands and how to overcome them by analyzing product data and using Commerce.AI's data engine. These challenges include greater complexity and competition in the consumer electronics space. By analyzing a treasure trove of consumer and product data, consumer electronics brands can uncover insights to overcome these challenges.

AI-based innovation has been disrupting many industries over the last few years. Ultimately, the leading consumer electronics brands are adopting AI to stay at the forefront of innovation.

In the next chapter, we'll explore how to apply AI for innovation in the restaurant industry, which, unlike consumer electronics, has often lagged behind technology trends, but similarly stands to benefit tremendously by using data and AI to their advantage.

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