and productivity. Customers aren’t the only ones who reap the benefits of AI in commerce. There are also advantages for employees. In fact, most businesses implementing AI report moderate to major improvements in employee productivity and satisfaction (84% and 82%, respectively). Developing a deep working knowledge of AI tools gives employees valuable career experience with a new technology. It can also offload many job functions that once felt tedious and monotonous, opening up new career trajectories and reskilling opportunities.
While use cases for generative AI in ecommerce are still emerging, here are five examples of how the technology is being applied today. Here’s everything you need to know about the unique benefits of AI in commerce, and how leaders are evaluating, investing in, and implementing it.
1. Personalize your product america phone number list recommendations — even more
What is the most common use case for generative AI in ecommerce? Writing product descriptions. This is especially beneficial for businesses with large catalogs or technical, complex products. Although AI-powered product recommendations have been part of the online shopping experience for a long time, generative AI adds even more nuance and makes the entire process feel more bespoke. Generative AI allows better targeting and more refined personalization, helping you create relevant experiences faster and with more context. AI even allows you to create dynamic product descriptions tailored to each customer’s unique preferences and pain points.
The best AI platforms offer highly relevant personalization at the individual level without having to create a separate model for each customer. Even better? By incorporating user feedback, AI-based recommendations and personalization become smarter over time, leading to increased conversions and higher customer satisfaction.