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)
Section 1:Benefits of AI-Powered Commerce
Section 2:How Top Brands Use Artificial Intelligence
Section 3:How to Use Commerce.AI for Product Ideation, Trend Analysis, and Predictions

Understanding the pillars of AI

These are the five pillars of AI, which lay the groundwork for using AI for product innovation:

  1. Language understanding
  2. Visual understanding
  3. Information extraction
  4. Information organization
  5. Creative AI

When you combine the first four pillars with creativity, you get what's called creative AI. In other words, the first four pillars are needed to create the data structure that fuels a gamut of creative use cases.

Creative AI is an advanced form of artificial intelligence that can solve problems previously thought impossible for machines, whether that's designing wholly new products or coming up with truly innovative ideas, such as how Google used AI to design rounded and organic computer chips much faster than human engineers, or how designers at Autodesk use AI to design skeletal scaffolds that are lighter, stronger, and more efficient than regular designs. In this section, we'll explore the five pillars...