Each passing year sees the e-commerce industry becoming more and more competitive. Nowadays, buyers have more options and expectations, and they tend to lose patience with complicated shopping processes. Merely having a vast range of products does not suffice anymore. Businesses in the e-commerce space need to know their customers’ preferences and make relevant recommendations to them, be responsive, provide easy purchasing options, and ensure that the customers enjoy the shopping experience so that they will return.

This is the point where AI comes into play in the world of e-commerce.

An AI-powered e-commerce application will be able to analyse customer behaviour, personalize products recommendation, automate customer service, optimise marketing efforts, enhance search features, and allow businesses to take informed decisions on the basis of real-time data. Rather than arriving at one size-fits-all solution for customers, thanks to AI tools, businesses can provide customers with personalised in-store experiences.

What Are AI-Powered E-Commerce Apps?

An AI-enabled e-commerce app refers to any commerce app that works with artificial intelligence and machine learning to understand customers and automate various actions of the shopping process.

Typical e-commerce solutions are based on fixed rules.

For example, a customer can choose the category of products and find matching products manually.

On the other hand, an AI-commerce application can be much more powerful.

It is capable of analysing past purchases, browsing habits or behaviour, searches and preferences, product interactions and many other signals to personalise user experience.

AI can be used in such areas as

• Product recommendations
• Personalisation of a home page
• Intelligent search
• AI-powered chatbots
• Virtual shopping assistants
• Customer segmentation
• Marketing automation
• Demand forecasting
• Fraud detection
• Inventory management
• Review analysis
• Personalised propositions

The result is an e-commerce experience that can continuously learn and improve.

How Do AI-Powered Apps Increase Sales and Customer Engagement?

1.    Personalised Product Recommendations

The benefits of artificial intelligence in the field of e-commerce are enormous when it comes to personalisation.

Customers do not want to search through numerous (or even thousands) products. They prefer finding the products that match their interests as quickly as possible.

AI helps with the analysis of such signals as:

• Previous purchases
• Viewed products
• Search history
• Visited categories
• Items that were added in a shopping cart
• The activity on the wishlist
• Frequency of purchase
• Similar behaviour of other customers

The information helps e-commerce apps to generate relevant suggestions about the products that match the preferences of each individual customer.

For example, if a customer often purchases products for fitness, the application is able to offer matching equipment for fitness training, sports apparel, and nutrition products if relevant.

2.    AI-Powered Search

Search represents a basic element of any e-commerce software solution. Traditional search mechanisms usually fail if spelling errors, informal phrases, incomplete descriptions, or conversational queries are used by the potential consumer. AI-enhanced search can differentiate between the intention behind the search instead of merely associating exact keywords.

To illustrate, a customer can enter a query such as “Black shoes for the workplace under ₹3,000.”

Intelligent search allows defining colours, types of products, and purposes in order to provide more relevant responses.

AI can assist consumers in finding products based on a natural language which makes search intuitive. Better search leads to the reduction of search-related barriers for consumers.

3.    AI Chatbots for Instant Customer Support

Customers frequently have questions to ask prior to making a purchase.

The answers can include:

•  Is the product in stock?
•  What types of deliveries can you offer?
•  Is there a way to return a purchase?
•  What is the right product for me?
•  How can I track my order?
•  What kind of payment can I use?

AI chatbots help to successfully answer most frequently asked questions.

Compared to traditional customer support services, AI chatbots do not depend solely on human beings for assistance.

Chatbots can help customers to understand what products are suitable as well as help them use the app.

Despite that, designing a chatbot should be done carefully. Customers must be given an option to speak to a real person if the problem is too complicated or requires prompt human action.

4.    Better Customer Engagement Through Personalisation

Customer engagement is not limited to merely drawing in visitors. it also involves meaningful interactions throughout the customer journey.

AI can provide a personalised shopping experience. This is on the basis of customer interests and behaviour.

For example, an app can show:

“Suggested for You”

“You Might Like This”

“New Products for You”

“Finish off Your Look”

“Items You Have Seen”

This makes the application more relevant. This is because the app becomes user individually.

Customers see relevant products and content. Therefore, it tempts them to look for more items or come back to the app.

5.    Smart Upselling and Cross-Selling

AI help businesses increase each order’s worth.

Upselling prompts the customer to think about product upgrades. On the other hand,  cross-selling offers customers additional products. There is a higher chance that they buy more.

For example, if a customer has purchased a smartphone, a smart app powered by AI can offer the customer a suitable phone case, screen protector, charger, or another similar item.

The recommendations should be helpful, not excessive.

When AI realises how products relate to each other along with what customers are interested in, it creates the basis for useful recommendations at the right moments for the customer.

6.    AI-Driven Marketing Campaigns

AI can assist e-commerce companies in their marketing efforts by audience segmentation. Rather than providing the same message to all customers at once, AI tools can divide customers according to their behaviour, interest, history of purchasing, and engagement.

For example, several audiences can be targeted as follows:

• New customers: welcoming offers and information about products
• Returning customers: loyalty bonuses and personalised offers
• Inactive customers: re-engagement offers
• High-value customers: special products or early access
• Cart abandoners: reminders about goods left in part of the cart

This depth of customisation allows you to optimise communication and potentially improve engagement.

7.    Reduce Cart Abandonment

The phenomenon of cart abandonment is commonly experienced by e-commerce platforms.

Online shoppers may choose products to add to their carts but make their exit without buying for several reasons, namely distractions, hidden fees, lack of information, or a desire to postpone their choice.

By employing AI, the behaviour of users can be analyzed for detecting the specific patterns in cart abandonment.

After that, businesses can employ the needed actions, for instance:

• Reminders
• Recommendations
• Helpful hints
• Shipping information
• Incentives
• Simple checkout process

It is important to note that the goal here is not to create pressure on the consumers. On the contrary, it is expected that AI could help companies identify the areas where customers face issues.

8.    Visual Search and Image-Based Shopping

With the utilisation of visual search powered by AI technology, a customer will be able to search for products based on images.

As opposed to giving a description by means of the usage of keywords, a customer will be able to upload, or choose an image, which will allow them to find a matching product.

This can work great for fashion and clothing markets, furniture and home décor, and generally for product categories that are mostly visually engaging.

For instance, if a customer sees an ad of a particular chair style on a social media platform, he can make use of the visual search in order to find similar products on an e-commerce app.

Visual search empowers customers and gives them a chance to discover products in a fun and easy way.

9.    AI-Powered Reviews and Sentiment Analysis

Customer feedback contains useful information for buyers and companies alike. AI is able to analyse a great amount of feedback in order to detect prevalent issues, concerns, good experiences, and recurring problems with a product.

For example, AI can detect that consumers highly appreciate the design of a product, but are worried about its size and durability.

Such information can be useful for improvement of:

• Product descriptions,
• Customer service,
• Quality of product,
• Marketing communications,
• Decisions on inventory

AI can also make summaries out of the reviews to help customers get an overall idea faster.

10.   Predictive Analytics and Demand Forecasting

Applications of AI extend beyond the front-end capabilities. It can help make e-commerce operations more efficient.

For example, predictive analytics can evaluate past sales performance, seasonal patterns, customer behaviour, promotions, and other company data to forecast demand.

Improved forecasting enables companies to make better inventory-related decisions.

For example, if AI observes an increased need for a product category in a particular period, companies can stock up on inventory.

11.   Fraud Detection and Secure Transactions

E-commerce companies need to ensure the safety of their customers and operations.

Artificial intelligence enables the detection of irregularities in transaction patterns or suspicious behaviours.

Technologies can process signals such as:

• Transactional behaviour
• Login behaviour
• Account activity
• Frequency of purchases
• Information of devices
• Anomalous order behaviours.

As a result, suspicious transactions are flagged for further examination according to the security policies of the business.

AI should not be regarded as the single tool in the area of fraud prevention or cybersecurity.

12.    AI-Powered Customer Retention

In order to improve their business, companies must have new customers, which can be costly. This is why customer retention is vital for the e-commerce business.

Modern technology allows a company to analyze the habits of customers, so as to identify those that lead to repeat purchases or to customer inactivity.

Furthermore, businesses can gain competitive advantage through this method.

A great example is the retention program for people who buy a particular product consistently.

Also, a retention program can help target customers who don’t use the app for a long time with relevant messages.

The main objective is to maintain relationships with customers.

How Can AI Increase E-Commerce Sales?

The implementation of AI technologies is not the key to ensure higher sales. Instead, the use of AI tools means wise and informed use of business and customer data to minimize the friction in processes and create credible experiences.

When an e-commerce app utilizes AI capabilities, it can positively impact sales in the following manner: 

Higher level of product discovery → More personalized recommendations → Increased engagement → Better customer experience → Higher conversions.

AI can also improve average order value via relevant cross-selling and upselling, improve retention through personal approaches, and minimize losses thanks to the increase in the level of customer support.

The key principle here is the focus on customer needs rather than the development of good AI-powered features per se.

Challenges Businesses Should Consider When They Implement AI

Using AI in the field of e-commerce has its advantages, but businesses should make sure to approach the project with caution.

When it comes to e-commerce and AI implementation, companies need to focus on several points:

1.    Data Protection

Companies need to know how to gather, store, and share information.

2.    Reliability

It is important to ensure that AI technology is always error-free. The information related to products, recommendations, chatbot messages as well as all types of customer-related information should be verified.

3.    Integration

AI-based solutions need to be integrated with the current e-commerce system of the company, which may include aspects such as Customer Relationship Management, payment processing, inventory management, etc.

4.    Price

Using sophisticated technologies may lead to considerable expenses when it comes to the implementation of AI systems.

5.    Human Focus

AI should be applied as a tool that will help people rather than take them out of the business processes.