Book Image

AI-Powered Commerce

By : Andy Pandharikar, Frederik Bussler
Book Image

AI-Powered Commerce

By: Andy Pandharikar, Frederik Bussler

Overview of this book

Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.
Table of Contents (17 chapters)
1
Section 1:Benefits of AI-Powered Commerce
5
Section 2:How Top Brands Use Artificial Intelligence
11
Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions

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.