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

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781803248981

Length 256 pages

Edition 1st Edition

Concepts

Artificial Intelligence

Authors (2):

Andy Pandharikar

Frederik Bussler

View More author details

Table of Contents (17) Chapters

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

Using Commerce.AI for restaurants

In previous chapters, we've looked at how to use Commerce.AI for various product-oriented industries, including luxury brands in Chapter 4, Applying AI for Innovation – Luxury Goods Deep Dive, wireless networking brands in Chapter 5, Applying AI for Innovation – Wireless Networking Deep Dive, and consumer electronics brands in Chapter 6, Applying AI for Innovation – Consumer Electronics Deep Dive.

As we'll see, Commerce.AI can be used in the service industry as well, including for restaurants. This is because the service industry is highly data-rich, as customers leave large amounts of both implicit and explicit feedback.

In fact, so much data is generated, largely in the form of customer feedback, that it would be impossible to manually sort through and analyze a meaningful amount of it. That's where AI comes in, which automatically finds trends in customer reviews and can make predictions about the future...