AI technology helps e-commerce brands optimize for mobile devices

​Unless you live in the most remote parts of the world or somewhere underground, there’s a good chance you’ve heard of artificial intelligence (AI). But how can AI technology help e-commerce brands optimize for mobile devices?

Artificial intelligence is becoming an important part of how different industries operate. The proliferation of smart devices, security checks, research in the healthcare industry, and self-checkout enrollment are just a few examples of areas where AI is highlighted.

The e-commerce industry is not being left behind. E-commerce business owners are looking for ways to use artificial intelligence to improve customer experience, increase sales and streamline operations.

Here are a few ways artificial intelligence technology can help e-commerce brands optimize for mobile devices;

consumerdataanalysis

Artificial intelligence technology allows e-commerce brands to develop personalized and targeted marketing messages by analyzing consumer data in e-commerce applications. However, these messages are created to suit the requirements of mobile applications.

Brands use artificial intelligence to derive consumer patterns and trends from their e-commerce applications. They can also gain insights into customer preferences through mobile apps. This enables them to design applications to match these preferences.

With this data, they know the types of ads and targeted messages to send to each customer. They are also able to determine the right marketing timing for such messages, allowing them to drive a steady stream of traffic to their e-commerce mobile apps.

Automation

Technological advancements have played an important role in driving enterprises towards automation. Today, tasks that take days can be completed in minutes. This is because of automation.

With new trends in the e-commerce industry such as direct selling, we see companies like SparkShipping using e-commerce direct selling automation technology. This requires artificial intelligence technology to identify and gain insights into different indicators.

Using artificial intelligence, e-commerce dropshipping business owners can identify the needs of customers when they visit their mobile app. This information can be used to display the products that customers are most likely to purchase.

Voice Search

Voice search is reshaping digital marketing in different industries. There is a lot of potential for e-commerce brands looking to use artificial intelligence to enable voice search in their e-commerce apps. Using artificial intelligence, e-commerce brands can understand customer preferences, instructions, requests, queries, and interactions.

Using this data, they can segment and analyze all users who visit their e-commerce mobile app. Using emerging technologies, they can streamline voice searches and ensure customers' voices are easily recognized.

After a returning user introduces themselves, the app can immediately bring the products that particular user wants to see. They (customers) can interact with the mobile app without typing anything. All this is thanks to artificial intelligence technology.

Add a personal touch with chatbots

A chatbot can be defined as a computer program that is used to simplify the interaction between an e-commerce application (or any other web application) and Conversations between customers.

Powered by artificial intelligence, e-commerce brands can use chatbots to handle multiple tasks in their e-commerce operations. For example, you can use a chatbot to automate all order processes in your mobile app.

When it comes to customer service, AI already knows everything there is to know about your application’s operations. This means these chatbots can answer any question a customer has. All of this happens within your application without your intervention.

Dynamic Pricing

Initially, running an e-commerce business meant you had to manually change product prices when needed. Today, you can use AI to automatically change those prices, rather than keeping them fixed.

When customers visit your e-commerce mobile app, they expect reasonable prices based on the market. If you decide to do this manually, you will waste a lot of time and the chance of errors will be very high.

In addition to dynamic pricing, AI technology can be used to identify consumers who need discounts before they convert. This way, you will ensure that the price reduction only applies to customers who will make a purchase.

Artificial intelligence will transform every other industry in the coming years. As you can see above, e-commerce brands can use this technology to optimize their mobile operations. ​

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