AI for a user-friendly ecommerce store

AI for a user-friendly ecommerce store

More people started shopping online during the pandemic to avoid crowds and social distance. Many decided they loved the convenience of ordering from their armchair and have stayed with ecommerce for the long term. This has led to a greater number of digital shops opening in the last couple of years. Companies that want to remain competitive must improve the customer experience (CX). 

Around 70% of consumers still worry about their health, even in areas where the pandemic is easing. They’re more likely to rely on online shopping options for their needs. 

AI for a user-friendly ecommerce store

Fortunately, online stores can use AI to automate an ecommerce store and make it more user-friendly. Here are some top tips for revamping a website and tapping into the power of machines, using AI for a user-friendly ecommerce store.

1. Retarget Customers

Artificial intelligence can be used to store information on site visitors and indicate their preferences as shoppers. When someone returns to the store, the business can offer them suggestions based on past browsing history or purchases. 


Brick-and-mortar stores use AI and facial recognition to see what areas of a store people linger in. If someone is browsing iPhones, the brand can send a ping the next time there is a new arrival or special in the product line. 

2. Ramp up Customer Service

The CX of an online store can mean the difference between browsers and buyers. Look for ways to personalise the experience. For example, AI can gather details such as the person’s first name and then greet them when they land on any page.

Stores can also utilise live chat and AI to automatically answer questions so live agents remain free to deal with the finer details of closing a sale. 

3. Ask Customers Questions

Use AI to ask a series of questions and learn more about user preferences. For example, a cosmetic company might query skin type, problem areas, tone and makeup preferences.

Once the computer takes the user through a series of questions, it can direct them to the appropriate products based on their responses. For example, someone who mentions they like a natural-looking makeup might be sent to a page for lightweight foundation and gel blush. 

4. Tap Into Natural Language Processing (NLP)

NLP taps into how people naturally speak and uses words and phrases most likely to pop up in searches. Using AI with NLP becomes more powerful during the hunt for information on an ecommerce site. 

Some websites are notorious for returning next to useless results in searches. Imagine a customer trying to find a red long-sleeved shirt and getting results for everything from pyjamas to hats. NLP considers the user’s intent and returns options that are most likely what the person wants. 

5. Automate Repetitive Tasks 

According to CGS, 45% of companies are still dealing with labour shortages. AI can help take over automated tasks, such as sending out customer reminders or thank you emails. Computers that take over repetitive tasks allow people more time to focus on the creative side of running an online business. 

For example, tap into the power of RSS and send out a newsletter update showcasing the latest blog posts on an ecommerce store. Throw up articles the person is most likely interested in. Cover topics related to frequently asked questions. 

Tap Into Future Technology – AI for a user-friendly ecommerce store

Just 10 years ago, it was impossible to imagine a website where people could speak into a device and order something in a flash or set up auto-subscribe orders. Today, the same technology is commonplace.

It’s interesting to think about where the future of AI might take ecommerce stores. Expect a more personalised experience and better customer service with each passing year. One thing is for certain… you can tap into the latest trends to make the most of automation and introduce AI for a user-friendly ecommerce store.

Credit: Devin Partida is a retail writer and blogger. You can read more posts from Devin at ReHack.com, where she is the Editor-in-Chief.