AI in Ecommerce
AI in eCommerce
AI or Artificial Intelligence has reached various domains of activity, improving and innovating
processes, facilitating structures and enhancing results in unexpected manners.
By copying human reasoning, but with an unaltered focus and logic, AI is estimated to infiltrate a
whopping 85% of customer interactions by 2020. Yes, in a couple of years.
AI = Personalized UX in eCommerce
Apparently useless information or huge clusters of data can be easily and more efficiently managed
with the help of AI. Personalized UX is nothing new in eCommerce regardless from which side you
look at it (customer or provider), but AI can now bring about deeper levels of UX personalization.
Deeper and more efficient. It is not about time, necessarily.
First of all, let's take CRM systems for example. What used to take a lot of time, effort and energy for
someone to collect and analyse customer data and draw conclusions to come up with marketing and re-
marketing strategies, is now done much more effectively by AI, enabling, sustained and maximized
From the customer's point of view, the UX is also improved through AI systems in a way in which
online visitors are no longer spending too much of their precious time “blindly” shopping for the things
they need. Based on the collected data and information left behind by their search activity, AI programs
are able to instantly suggest the correct and desired products or services needed, without too much
hassle. The main purpose of AI in eCommerce is to deliver quality and relevant ads, first and foremost,
at the right time.
are now the ideal replacement of the 24/7 human support which implied numerous resources. Built on
machine learning algorithms, these chatbots provide a seamless customer communication process, be it
written or spoken. Assessment of customers' or visitors' questions and replies is done quickly and
effectively, so assistance is easily provided and solutions offered.
Chatbot = specific computer program developed to simulate interaction with visitors and
perform clearly defined tasks over the Internet or across eCommerce platforms.
Chatbots and Sales
are highly connected, as they enable the purchase process, facilitating the customer's search and buying
journey from the beginning to the end. AI-generated product suggestions will be clearly segmented on
category, brand, sale representatives or organizations, while also taking into account sales trends and
cost-effectiveness for the customer.
Keeping inventory up-to- date, stocking shelves and managing to keep accurate track of every product
coming and leaving your store or storage can become an absolute nightmare sometimes. In this respect,
Artificial Intelligence can bring a significant contribution in managing online store inventory, analyze
performance, trigger cost-effectiveness and also predict future demands based on customer purchasing
behavior. Machine learning will develop patterns that will allow you, as an owner or seller to always
have your inventory prepared with the right products or services.
Are you a buyer that relies on the visual? No problem, AI has got this covered as well. Again, based on
the machine learning algorithm studying and analysing patterns, AI is eCommerce is able to simply the
user's search process, quickly and efficiently suggesting the exact product or service you are looking
for, in the form of images. You can even find that specific thing you were looking for a while now, that
you didn't know the name of. Just how it looked. Amazing, right?
This app for example will help you find whatever you saw and liked, in just a few seconds. You saw an
amazing pair of shoes on someone walking by? Just snap a pic and use the app to find the place where
you can get them. Easy, fast and efficient. Anytime, anywhere.
The possibilities of using AI in online business are spanning more and more over eCommerce.
Everything will be simplified to target and enable an improved UX. This does not mean that Artificial
Intelligence will take over.
AI will just be implemented to streamline the purchase and sales process to the advantage of the both
the customer and the seller. For the former, providing a quicker and more accurate product suggestion,
time saving and satisfaction, and for the latter a chance to increase cost-effectiveness, brand visibility
and competitiveness on the market.
Perfectly being able to cater to our potential buyers and customers is the main objective in eCommerce.
Personalization is the key in doing that and this is only achievable by sorting out the exact information
concerning a specific person. AI has the necessary learning ability to do exactly that.