Artificial intelligence has marked its presence in every field of concern. Almost industry is taking advantage of the artificial intelligence applications. Be it healthcare, finance, marketing or any other sector. E-commerce business has evolved rapidly in the past few years.

So how will artificial intelligence impact the E-commerce sector?

What can artificial intelligence achieve for E-commerce?

Artificial intelligence is going to personalize the shopping experience for the user and improve the shopping experience. For retailers, it is a medium to improve sales, deliver better engagement and improve the customer’s service.

Artificial intelligence is becoming an integral in the way how many consumers interact with the digital platforms. The huge competition in the e-commerce business has pushed the e-commerce businesses to make use of artificial intelligence technology to get ahead of the competition.

Let us have a look at how artificial intelligence is benefiting the E-commerce Business

Searching Products Made Easy

Most of the online purchases start with the search. The search results should be relevant and according to the keywords. Else the user will look somewhere else for the products. The text-based searches return a list of items that include those keywords in the title name and the description.

This may not be the best technique to find the accurate results. Artificial intelligence techniques allow users to upload the images and discover the most relevant or exact search result. This saves a lot of time for the consumer as a consumer no longer have to linger for hours.

Also Read:  5 Ways Artificial Intelligence Improves Business Processes

Recommendation Systems

Have you ever experienced how E-commerce websites like Amazon are constantly showing the products similar you just checked? Well, this is the application of artificial intelligence in E-commerce. AI and machine learning algorithms can predict the behavior of buyer from its past searches, likings, frequently bought products.

By predicting the behavior of the user, E-commerce websites are able to recommend the products that user is highly interested in. This improves the user experience as the user no longer have to spend hours searching the product.

It also helps the E-commerce websites to improve their sales. So, small E-commerce websites have to build own recommendation system.

Inventory Management

The predictive analysis of data science services is making a huge impact in the inventory management. Inventory management is a nightmare when it comes to keeping the inventory up to date, shelves filled and everything available in the supply chain. Machine learning algorithm can predict the future demand for the product based on the history data.

The more and more usage of predictive analytics in the E-commerce improves the efficiency of inventory management data. Artificial intelligence applications have enabled the retailers to predict the real-time inventory needs of the business.

Systematic Sales Process

Prior to artificial intelligence, sales strategies were relying on cold calling, email marketing, ad placements etc. Artificial intelligence applications are used by the E-commerce retailers to gather data patterns and to generate powerful insight from the data.

Businesses can improve the sales by using the history data and data-driven feedback. Nowadays, people are more inclined towards social media platforms for shopping inspirations. Deep learning techniques can be used to identify the choices and interests of the customers. Artificial intelligence can scan millions of data and develop the correlation between the buying patterns and user data.

Better Custome Understanding

For the rapid growth of any business, it is very important to understand your target customers better.  There are many ways to achieve this. E-commerce websites can send online surveys to the users, get feedback using feedback forms, and ask for rating and review for the better customer understanding.

Artificial intelligence and natural language processing have also made it possible to get to know the perception of the customer about the brand. NLP can understand the phrases used by the user about the brand in a comment, reviews, complaints, and feedback. It can understand all the feedbacks whether positive, negative or neutral. E-commerce businesses can learn more about the customer expectations and respond according to the situation.

Improved Customer Service

Every business wants to provide the best service to their customers. Chatbots and virtual shopping assistants allow users to automate the customer service. AI-powered chatbots have the capability to interact with clients, answer their queries and resolve issues in real time.

Natural processing algorithm in the chatbots allows them to understand the context of the customer’s message. Shopping chatbots can assist in finding the products. Users have to just enter their requirements and chatbot will find the most relevant products for them.

Chatbots can also schedule deliveries, book complaints and handle returns for the customers. Chatbots are available 24/7 at the service and have a high response rate.

Better Decision Making

E-commerce can make better decisions with the application of Artificial intelligence. Data analytics have to handle a lot of data every day. This data is too huge for them to handle. Moreover, analyzing the data also becomes a difficult task. Artificial intelligence has fastened the decision-making process of E-Commerce. AI algorithms can easily identify the complex patterns in the data by predicting user behavior and their purchasing pattern.

After Sales Service

Selling the product is not enough. Businesses have to aid the customer in the complete buying cycle. After sales service is an integral part of E commerce business. Artificial intelligence can automate the feedback form, replacements and handling any other ambiguity in the product. By solving the buyer’s issues, the brand value of the website gets improved.

Cyber-Security

Artificial intelligence has also improved the cyber-security of the E-commerce websites. It can prevent or detect any fraudulent activities. E-Commerce has to deal with a lot of transactions on daily basis. Cyber-criminals and hackers can hack the user account to gain unauthenticated access. This can lead to the exposure of private data and online fraud.

The reputation of the business also gets a big blow. To prevent this, Artificial intelligence and machine learning algorithms are developed that can mitigate the chances of fraud activities over the website.

Conclusion

Digital Platform has made life easier for the retailers as well as buyers. E-commerce websites are witnessing an exponential hike in their sales.

Artificial intelligence companies have helped E-Commerce websites in providing the better user experience. Artificial intelligence research in the field of E-commerce is leveraging the sales of E-commerce too.