Unless you live in the furthest corners of this world or somewhere underground, chances are you’ve heard something about artificial intelligence (AI). But how can AI technology help ecommerce brands optimize for mobile?
Artificial intelligence is a big part of how various industries operate. The popularity of smart devices, security checks, healthcare industry research, and self-checkout registers are just a few of the areas where AI stands out.
The e-commerce industry is not left behind. Ecommerce business owners are looking for ways to use AI to improve the customer experience, increase sales, and streamline operations.
Here are some ways AI technology can help ecommerce brands optimize for mobile.
Consumer data analysis
AI technology enables e-commerce brands to develop personalized targeted marketing message by analyzing consumer data from e-commerce apps. However, these messages are designed to fit the requirements of mobile apps.
Brands use AI to capture consumer patterns and trends from e-commerce apps. You can also use mobile apps to gain insight into customer preferences. This allows you to design your app to suit these preferences.
Using such data, we know what kind of advertisements and targeted messages to send to each customer. It can also identify the right marketing time for such messages, thus keeping traffic to your e-commerce mobile application constant.
automation
Advances in technology have played a major role in pushing businesses toward automation. Today, tasks that take days are completed in minutes. This is due to automation.
New trends such as dropshipping in the e-commerce industry have led companies such as Spark Shipping to use technology to Ecommerce dropshipping automationThis requires AI technology to identify and provide insights on various metrics.
Using AI, e-commerce dropshipping business owners can identify what their customers want when they visit their mobile application. This information can be used to show you the products your customers are most likely to purchase.
voice search
Voice search is reshaping digital marketing across industries. There are many possibilities for e-commerce brands that want to use AI to implement voice search in their e-commerce applications. With AI, e-commerce brands can learn about their customers’ preferences, directives, demands, queries, and interactions.
You can use this data to segment and profile all users accessing your ecommerce mobile application. Use new technologies to streamline voice search and make it easier to recognize your customer’s voice.
As soon as the returning customer introduces themselves, the app can bring the product the user wants to see. They (customers) can interact with her mobile app without any input. All this is made possible by AI technology.
Add a personal touch with chatbots
A chatbot can be defined as a computer program used to streamline conversations between an e-commerce application (or any other web application) and its customers.
AI-powered e-commerce brands can use chatbots to handle multiple tasks for their e-commerce business. For example, you can use a chatbot to automate the entire ordering process in your mobile application.
When it comes to customer service, the AI has learned everything about interacting with the app. This means that these chatbots can answer questions from customers.
dynamic pricing
Initially, running an e-commerce business required manual price changes for products as needed. Today, instead of maintaining fixed prices, AI can be used to automatically change those prices.
When customers access your ecommerce mobile app, they expect a fair price for the market. If you decide to do this manually, you will be wasting a lot of time and the chances of error are very high.
In addition to dynamic pricing, AI technology can also be used to determine which consumers want a discount even before conversion. That way, only customers who buy will be able to take advantage of the discount.
Artificial intelligence will change every other industry in the next few years. As noted above, e-commerce brands can use this technology to optimize their operations for mobile.
