top of page
Search
Writer's pictureYamuna M

How Artificial Intelligence is Building The Future of eCommerce

How Artificial Intelligence is Building The Future of eCommerce


Even before the Covid-19 crisis, technology with e-commerce took the world by storm. The impact of customer satisfaction, brand recognition and marketing practices are the cornerstones for the growth of the e-commerce industry. As technology has increasingly penetrated the e-commerce market, retailers are looking for innovative ways to automate these processes and improve these aspects with new features to stay ahead of the curve.



Taken together, AI's integration has proven to be a game-changer for e-commerce and retail platforms, thus creating retail digitization.


Advances in Technology and E commerce


From digital transformation and software-a-service to virtual reality and artificial intelligence, technology continues to push the limits of what eCommerce can do.


With the constant development of technology, it is always new to compete with each other for the interest of online merchants every day. You will never be committed to finding different and exciting ones to explore but finding the best opportunities for your online business is the most important thing.



AI in personalization


Since analytics is a key component in providing user insights, AI uses data from analytics to understand and act on customer behavior by creating personalized messages and recommendations based on user history. This personal touch has a crucial effect in enabling the customer to make a purchase decision. Imagine seeing a product you want to buy on your site homepage without the customer having to type and search. This reduces purchase decision travel and improves exchange rates.


Decision making informed


Even with minus details of customer behavior, AI can help make informed decisions to provide the right kind of messages to e-commerce vendors. AI modelling simplifies analysis and helps in making reliable decisions to provide business solutions. Rather than pushing out mass emails, you can automatically customize messages for them based on customer behavior on your website.



How to implement Artificial Intelligence in eCommerce?


It is always tempting to indulge in new and attractive technologies. However, you should have a plan before launching a new program to make sure that you do not waste time and money for false startups.


Develop a strategy


Your plan outlines the steps you need to take to get started anywhere and reach your AI goal. Do not hand this over to a newly hired AI expert or your CIO or CTO. Do some serious thinking about what you want to achieve with AI. Take a practical approach and remember to start small. You can always build your successes in the future.


Discover narrow utilization contexts related to the overall corporate strategy.


Business objectives, data differentiation and widely available artificial intelligence models all come together in the most effective AI usage contexts. In short, you need to focus on where you have the data edge and where the installed AI technology will be used to generate revenue.


Develop third party skills.


Even if you are an armchair AI specialist, you may want to seek professional help on this. Bring in a professional team to assist you in setting up a strategic AI road map on a project or part time basis. Those third parties will also help in the development of your MVP (minimum viable product).



Create a complete solution.


Once you are satisfied with what your team has created it is time to create a complete solution. Don’t be shocked if it takes a few cycles before it works the way you want it to. You and your team will see greater benefit from the programs you implement by working more comfortably in the AI ​​field.



Here is a brief list of benefits you can reap from implementing AI in your business:


Thanks to Conversational Business, help customers smarter with their search. Using AI, you can improve search logic on your website and create a chatbot assistant that will help your customers place orders anywhere and anytime.


Only make personalized offers. By tracking all the touch points and saving all the products that your customers have seen and all the prices that they have responded to, you can determine the specific mix of goods and offers that each customer wants.


Avoid guessing your customer's route and evaluate it instead. Make your customer journey as smooth as possible with AI-based recommendations. When you are able to assess the behavior of your customers, you gain the advantage of competition due to flexible margins and the opportunity to predict the performance of your future marketing plan.


Minimize human errors in supply chain planning and adjustment. Make your inventory and goods available to your customers at any time in the volume required by AI. This optimization is possible online and in store and gives you 100% transparent warehouse stock levels in real time.


Identify problems before they touch you. Get notifications about irregularities or suspicious transactions, seller activities, fraud and shrinkage, you still have time to get involved in the situation and find out what is going on.


Increase your offline sales points. If you collect information from sensors like your AI video cameras, you will get the amazing ability to track your customers in your physical stores. You can find out where people go, where they stop and whether they are new or returning customers. You can also attract customers by making the best online offers available in stores.


Examples of how AI can help in eCommerce


Improve the personalised goal with predictive AI-based analytics

AI-based sales targeting is one of the most popular applications of Predictive Analytics. It is now used to automatically determine which customers want to buy and send them personalized offers.


From a technical point of view, it is looking for customers in your target audience who have the same features as the general "ready to buy" group of existing customers.



This task is impossible for a human but can be done by an AI algorithm.


You can create several automated reaction lists for defined types of customers:


  • Misleading customers

  • Seasonal buyers

  • Customers who provided feedback

  • Wholesale customers


Artificial Intelligence in eCommerce: The End



In conclusion, I would like to say that AI is growing in the e-commerce industry, however, it is still not perfect. E-commerce companies are constantly improving their AI tools to better match market demand. They have also partnered with other companies to integrate their capabilities in AI and develop more sophisticated solutions. We believe that Artificial Intelligence in e-Commerce affects transactions, customer retention, satisfaction, efficiency and more. Artificial intelligence development services in USA is changing the way we buy and sell


2 views0 comments

Comments


Post: Blog2_Post
bottom of page