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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
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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

Gaining value from data-driven forecasts

Product teams can gain value from any kind of forecast, whether it's a simple Google search that gives you an idea of how popular a certain product is, or something more complex, such as Commerce.AI, which allows you to look at trends based on billions of data points. Let's look at how AI can be used to provide value for product development pipelines, forecasts, and roadmaps. Pipeline refers to a list of all the products currently being worked on by a company or team in its product management system (PMS), such as Jira Software or Trello.

The problem with pipelines is that they can become useless if they do not change frequently
enough to reflect market shifts and changing customer needs. Let's say you have 20 products in your pipeline; however, because the market might shift 2 months into the future, those products may not get shipped by then due to lack of demand. With forecasts from Commerce.AI, you can make sure...

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