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

Analyzing product data for wireless networking brands

Data has become a critical differentiating factor for brands as consumers seek out products and services that offer them added utility, convenience, or even fun. For instance, much of the early adoption of on-demand transportation services such as Uber and Lyft was driven by their ability to provide riders with real-time updates regarding their location and ETA.

The same can be said for how we use our smartphones – we increasingly expect data-driven
experiences from our devices, whether it's instant information about nearby restaurants or attractions while on vacation or seamless integration with household appliances via voice commands or an app interface. And this trend doesn't show signs of slowing down anytime soon – by 2025, the world will be generating nearly 500 exabytes of data a day!

As the number of connected devices increases, so does the amount of data that flows through networks....