Panda Helper Blog

Using AI in eCommerce

In the modern world, e-commerce is rapidly developing, and one of the key driving forces of this growth is artificial intelligence. Using AI in eCommerce allows companies to automate processes, personalize offers for customers, and improve business analytics. Thanks to AI development services, even small online stores can implement advanced technologies previously available only to large corporations. In this article, we will consider how exactly artificial intelligence is transforming the e-commerce sphere and what solutions are already changing the market today.

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What Is AI?

In a broad sense, AI is a process that imitates the activity of the human mind. It is used in programs, applications, and various technical systems to expand their capabilities.

Systems with artificial intelligence can evolve. One of the methods for their development is machine learning (ML). This is a set of technologies and algorithms that allows a program to learn from its own experience, processing a huge amount of data and finding patterns in it.

The implementation of artificial intelligence and machine learning technologies makes a mobile application smarter and teaches it skills that will help the business achieve its KPIs.

How Can AI Help in Retail?

Here are the solutions and functionality that artificial intelligence offers for e-commerce:

  • predicts future conversions by analyzing user actions in the application;
  • predicts which group of users is best to target advertising;
  • helps users make purchases and find the right products;
  • personalizes in-app recommendations based on past user activity;
  • improves offline points of sale (collects data from sensors and video cameras to track how visitors move around the store: where they spend more time, and which shelves they ignore);
  • detects problems in the application, in production, and in the warehouse before they occur and sends notifications about anomalies, suspicious transactions, or possible fraud.

The development of artificial intelligence improves forecasting and analytics in e-commerce. AI is already becoming an integral part of this sphere.

AI Tools for Business

The use of artificial intelligence in e-commerce has a significant impact on the automation and optimization of business processes. Here is how AI affects various aspects of e-commerce:

Photo search

Every month, more than 600 million such searches are performed on Pinterest, and this trend is only gaining popularity. 62% of millennials prefer visual search over other new technologies in the field of digital shopping.

The visual search option allows customers to upload photos of products and search for similar ones. The technology has improved significantly in recent years and has become more accessible. For example, Google Lens allows users to search for any item they see online by pointing their smartphone camera at it.

Android and iOS have also implemented visual search for e-commerce. Users can open the camera on their smartphone, point it at an item, and find similar products.

An example of visual search can be found in the ASOS mobile app. They created a tool called Style Match, which allows users to take a photo and find similar products from the catalog. In this way, ASOS encourages customers to buy from them. Users often upload images of designer clothes and find more affordable options in the same style.

Chatbots

Many online stores have already successfully used chatbots as a first line of customer support. They have also replaced automated phone calls that are usually annoying for users and provided quick answers to frequently asked questions.

About 74% of consumers use chatbots when searching for the right product or service. An important factor is that bots help increase sales by:

  • communicating with customers who are hesitant about a purchase;
  • sending personalized offers.

Augmented reality

Augmented reality (AR) is a new technology that is already being used in various fields. Online stores are implementing AR solutions that allow customers to virtually try on accessories and clothes, and car buyers use the technology to see what a car will look like in a particular color.

AR compensates for the shortcomings of online trading by allowing buyers to “try on” a product before buying. Google notes that 66% of people are interested in using AR technologies in online shopping.

If products are presented in this way, the chance that they will be bought increases twofold compared to regular online shopping, according to research. Deloitte also found that 40% of buyers are willing to pay extra for a product if they can pre-test it using AR.

Smart recommendations

Artificial intelligence helps in increasing personalization and improving the user experience in e-commerce.

The technology is used to suggest products to customers based on age, location, and previous actions. These recommendations can be presented on the website or in targeted advertising on social networks; such recommendations do not require a large amount of data to run.

AI was introduced into recommendations to understand which products a person does not need and not bother the user with advertising. However, with the development of algorithms, it turned out that this tool understands human needs so well that it can recommend products that the user will definitely buy. The section with recommended products on the product page significantly influences the buyer’s decision by suggesting alternatives.

Recommendation technologies help users find products that they might not have found otherwise.

Increasing security

All the finances of your business go through banks. They actively use artificial intelligence to detect fraud based on the previous actions of customers.

In addition, they can implement CAPTCHA or reCAPTCHA technologies, which are also associated with artificial intelligence. These methods require confirmation that there is a person in front of the screen, not a robot.

Working with a warehouse and product balances

Your employees will no longer have to conduct a warehouse inventory manually. AI can do it for them. To do this, you need to enter all the data into one large database. Then, special sensors will independently read all expenses and deliveries in the warehouse and enter it into the system.

In addition, AI can:

  • determine the optimal location of goods in the warehouse to reduce the search time when sending;
  • be used to visually inspect goods for defects or damage using computer vision;
  • control autonomous robots to perform tasks on moving and packing goods.

These are all key benefits of developing artificial intelligence in e-commerce. With a reliable contractor like N-iX, which specializes in AI services, you can rest assured that all such functions will be implemented in your application.

Conclusion

Artificial intelligence is opening up new horizons for e-commerce development, making processes smarter, faster, and more customer-focused. From intelligent recommendations to chatbots and dynamic pricing, AI helps companies adapt to consumer needs and stay competitive. Using artificial intelligence development services from N-iX can allow your business to not only keep up with technology trends but also shape the future of e-commerce today.

Olivia

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