The Growth of Artificial Intelligence in eCommerce
Artificial Intelligence (AI) has become an essential component for effective trade and commerce. It helps businesses to learn more about their customers, better adjust their goods and services recommendations, improve their shipment services, increase marketing efficiency, and much more. In 2020, marketers rated AI among the top 5 digital marketing tools, and in France AI is widely implemented in Big Data processing and chatbot technologies for their online retail trade since 2019.
Many eCommerce businesses are heavily investing in AI to stay on top and provide the most outstanding customer experience to their buyers. In this article, we’ll share some examples of how AI can be used in eCommerce and how various businesses are already implementing AI to enhance their services.
How AI Is Used in eCommerce
Let’s have a look at the most notable improvements AI can offer small and large eCommerce businesses.
Smart Search and Recommendations
AI technology is becoming more flexible and adaptive to human thought patterns. Often, when customers search for certain products they tend to type in item names incorrectly. AI solves this problem by offering users keyword hints so that they can choose the needed products faster by just clicking on the appearing options in the search bar. This way, businesses can make their products more visual to their customers as users learn what else they can search for on their websites.
Besides the adaptive search bar, AI also improves product and service search by learning how people look for the items they need. Intelligent systems in eCommerce investigate which items people buy together, what adjectives and synonyms they use to search for products, and other product-relevant information. As a result, AI can offer customers the things they really need, shortening their search time.
As AI creates data sets about each item, it can expand its findings and gather information on brand followers. Similar audiences will mostly prefer the same products. By investigating products and audiences AI attempts to understand users’ search intent rather than words and suggest the most suitable items.
Personalized Customer Approach
Personalized customer experience is one of the most frequent reasons why eCommerce businesses apply AI. It helps companies to deeply analyze their customers’ experience and how they interact with the brand, making brand-customer communication more personalized.
For this, AI analyzes the history of customers’ visits and what they are doing at the moment and starts to predict what users want to see and buy. Therefore, marketers can enhance their interaction with the customers, using various approaches. This can be an email with special coupons, congratulations on their birthdays, and gifted discounts, suggesting what other visitors or celebrities choose to buy.
There are a variety of ways of how AI can strengthen business-customer connections. It just needs to analyze customer data and provide businesses with possible improvement patterns.
Chatbots and Virtual Assistants
Many businesses empower their services with chatbots and virtual assistants that rely on AI technology. All of them can be used for enhanced product search and customer support.
Customers can use chatbots and virtual assistants to look for the items they need in human-like conversations. For example, they can ask Alexa for advice or recommendations and come up with the best purchasing decisions through a discussion. The main difference between a chatbot and a virtual assistant is that chatbots are usually developed and offered by a company, while virtual assistants are standalone solutions that need to be built into a company’s app.
Chatbots are widely used in eCommerce and are aimed at providing services from a certain business. A well-conceived chatbot can ask many questions before giving detailed answers on how to solve the issues related to the service.
Enhanced Delivery Options
ECommerce AI tools help customers choose the shortest and cheapest delivery routes. For this, they automatically calculate items’ DIM weight and choose the best shipping method. They also can offer customers additional delivery options and adjust the delivery dates according to their needs. Besides that, as the items are shipped, customers can track their orders in real-time or switch on the delivery notifications that will be sent to their emails or via push messages.
Improved Inventory Management
Intelligent systems in eCommerce hel