Do you know the world’s e-commerce market is expected to reach $8 trillion by 2027? This is possible because of the personalized servicing options by AI features incorporated in it. AI-based features are the future recommendations for e-commerce applications.

These AI-based features make the shopping experience more user-friendly and keep the website in top rank. In 2025 and later years, AI will become an inevitable factor in E-commerce websites.

It offers intelligent automation, predictive analysis for product recommendations, and extended personalization. These AI-based features enhance the shopping experiences more seamlessly and intuitively.

This blog will discuss various must-have features for a successful E-commerce Mobile App in 2025.

Top 10 Features for a Successful E-commerce Mobile Apps in 2025

Personalized Product Recommendation

Product recommendation is one of the most common features of every E-commerce

App. However, personalized product recommendation is the most specific feature that analyses user behavior based on purchase history.

The AI-driven product recommendation suggests relevant products by analyzing the search keyword.
This kind of AI-driven product recommendation increases sales and insight into products.
Personalized product recommendations make shopping easier than before.
This feature enhances the usability of the website.
Real-time applications such as Amazon, Flipkart, and so on use this personalized product recommendation feature to maximize sales.
This feature eases the navigation process of buying the product without any hurdles.

Augmented Reality Try-Ons

Augmented Reality is an AI feature that allows users to try what they wish to purchase

online.

This feature provides a virtual space to try the clothes, accessories, and other products to match the real-time environment.
This AR feature enhances the confidence to purchase the product online from the customer’s perspective.
The AR feature provides space to fix the real-time adaptability to the products sold online.

This will improve sales from the seller’s perspective.

AR feature suggests the most suitable product based on user preferences and other metrics.

This kind of interaction with AI processes the user input with the Augmented Reality algorithm to deliver precise suggestions for the users.

Using this AR feature, the customers can experiment with product variations such as by trying different colors, and styles.

This AR feature helps boost sales by sharing the virtually created product’s image with their

friends and relatives.

AI-Powered user- friendly interface design

The AI-powered intuitive user-friendly design is the most intelligent E-commerce feature that

Simplifies the user navigation within the application. A complicated and visually appealing design makes the user drop off the purchase from the addcart to the checkout journey.

This AI-powered user-friendly interface design makes the app’s navigation clearer than before. (A statistical survey reported that over 40% of online customers withdrew from using the E-commerce applications, because of perplexed navigation)

(Source:https://www.linkedin.com/pulse/build-successful-e-commerce-app-key-features-you-cant-miss-fc4qc/)

The navigation features such as search, filters, categories, add cart, and AI will design checkout for the most intuitive shopping experience.
This feature provides a space for the users to locate products easily with an organized navigation structure.
The touch-specific interaction has an overwhelming response among the users because of the easy selection of products.

AI-powered Chatbots & Virtual Assistance

AI-driven chatbots and virtual assistance features are some of the most salient features in

E-commerce app. This is a tool that adopts artificial intelligence and natural language processing to implement the chatbot and perform instant responses to the queries raised by the customers.

These chatbots and virtual assistance keep track of the purchase process from the order confirmation till the delivery of the order.

This order-tracking feature keeps the customer updated regarding the product ordered.
Chatbots can help even after the delivery in case of any refund and replacement activities.
The chatbot and virtual assistant enhance customer satisfaction by automating the Conversation.

The conversation automation reduces the gap between the user and the administration.
It provides 24/7 chat support which can engage customers anytime and anywhere.
Most importantly, chatbots break language barriers by supporting customers all around the the world with Natural Language Processing techniques

Chatbots help businesses grow by providing data analyzed from the chats.

Voice Commerce

Voice commerce is the feature that makes the e-commerce application reach a greater audience, regardless of prior knowledge about the usage of the e-commerce application.

Using the voice commerce feature, customers can search, make orders, and do activities

inside the E-commerce application with their voices.

Some real-life example of voice commerce includes Siri, Google Assistance, and other custom voice bots.

It enables hands-free shopping experiences.
Voice commerce feature makes the shopping perplexion-free and keeps the customers concentrate on shopping without any difficulties in operating the application.

Order tracking can also be done with voice commerce. Customers waiting to get the ordered product can ask to the voice assistance technology to get tracked.

Multiple Payment Methods

Multiple payment method implementation simplifies the checkout process of the

E-commerce shopping. Providing multiple payment methods covers a wide range of customers as different customers may want different payment methods.

As almost all payment methods are available, customers using various payment options will use the same E-commerce application for convenience.

This feature ensures safe and secure payment transactions.
E-commerce is a worldwide business, hence, it is important to provide support to foreign payments. Incorporating foreign payment processing will be possible only with Multiple payment support methods.

Using a Payment gateway ensures the cost classification such as the product cost, delivery charges if any, taxes, and other costs. This will improve the transparency of the E-commerce application.

Buy Now Pay Later(BNPL)

Buy Now and Pay Later is the feature that is most popular among audiences. There is a

Condition: Many customers add products they wish to buy, but they might not have enough money to buy them. This option will make such customers happy by providing a space to pay later and buy instantly. This feature breaks the financial barrier among the customers. The advantages of using BNPL are as follows.

Wiser Budget Management
Zero interest hence avoided hidden charges.
Seamless checkout process
Simple documentation and immediate approval
Provide a better customer experience
Attract more people
Enhance the average order value
At the business point, this BNPL increases the cash flow.
Less risk

Fraud Detection with Machine Learning(FDML)

In this Fraud detection machine learning, you can implement the rules suggested by the collection of AI algorithms trained with your historical data called, machine learning, to allow or block some user actions like identity theft, suspicious logins, or fraudulent transactions. The advantages are given below:

As it analyzes the large dataset and identifies the fine pattern, it has more accuracy than traditional methods.
It enables the real-time monitoring of transactions and helps financial sectors detect and respond to suspicious activities and reduce the possible impact of fraud.
It minimizes false positives, enhances fraud detection precision, and improves the overall efficiency of fraud detection by learning the historical data with FDML.
It is more helpful in improving the scalability of the business since FDML handles a huge volume of transactions.
This reduces the time and cost of analyzing the penalties, and fraud resolution-related operational costs.
FDML helps in building a trusted and secure platform. Hence, increases loyalty and trust about the E-commerce application.

Implementation of Push Notifications to Engage Customers

Push Notification is the most popular and powerful feature of an E-commerce application.

This tool enhances user engagement by sending messages from the service providers to the customers in a single click. Every action has been communicated by the E-commerce administrator as early as when the action such as discounts, offers, and other combo offers has been implemented.

Thus, customers can also make use of the benefits before it gets expire. The only thing is, that the push notification feature should be implemented properly which should not touch the level of disturbing the customers with unwanted spam-like messages.

The push notification can be transformed into a personalized push notification by implementing AI. By analyzing the user’s behavior history, personalized messages will be sent to the relevant customers.

Personalized Push notification improves insight into the E-commerce application and boosts sales.
Push Notifications can also be changed into behavioral Triggers when it is sent as a response to the activity of the customer.
Re-engagement of the user of the application such as incompleted checkout process, out-of-stock items when restocked, and so on will be done with Push notifications powered with AI.
Push notifications delivered at the right time will be more beneficial. The messages delivered at the time of lunch break or nighttime when the user is free to do the shopping will improve sales to a greater extent.

Advanced Search and Filter Options

The search option is one of the mandatory features in every E-commerce application. No

Matter whether the application provides a service or product. This feature allows the customer to fetch the product or service easily. By analyzing the purchase history and previous inquiries, this advanced search filter can display the product that the customer is looking for.

Advanced search is highly essential when the E-commerce application is growing

on a large scale. As the product handling in big E-commerce applications is very huge, this feature can make shopping crisp and sharp.

With this advanced search feature, the E-commerce application narrows down the search.

Window to the essential search.

Advanced search includes the visual search facility too. The user can provide the image of

the product they require. By doing this, the user can specify the product, the size, and the color.

This feature increases the precision of the product search if the name of the product has

been misspelled. This is because the AI analyzes and gets the exact product with a rough spelling too.

AI analyzes the user behavior history and preferences, to provide a forecast search result for

Customers personalized

Conclusion

To summarize, making a fruitful web-based business application is fundamental to keeping up with seriousness in a developing business sector. To prevail in this, you should pick a dependable accomplice who can offer the most recent online business highlights list while keeping up with your organization’s objectives. All while improving client experience. The features chosen to serve the customers are a crucial part of every E-commerce application. Design the features in the sense that they should drive the application automotive. An e-commerce application that has easy and simple steps can reach an ‘N’ audience. The user coming into the E-commerce application should be able to do the activities without any external support.