Artificial intelligence (AI, or “machine learning”) has quickly transformed from science fiction to reality, and is currently on track to become an integral part of the corporate business environment. According to experts, by 2020 eighty five percent of all customer interactions with a business will occur via machine learning programs. So if you run an organization with an e-commerce component, read on for some ways in which machine learning can help you stay ahead of the curve.
There are numerous ways for AI to be used in e-commerce to the benefit of both businesses and the consumer. Machine learning algorithms can, for example, identify customer habits and their interests based on search histories (both inside and outside of a specific business’s site).
With the proper configuration, this service can analyze shopping behaviors to customise and tailor the online shopping experience to that specific user. Product recommendations, pairings, and promotions can target individuals, improving the customer experience, and in turn, your bottom line.
Machine learning is also great for cataloging products. In the past, businesses would send out dense and cumbersome product catalogs that made it difficult for customers to find what they were looking for. In the near future, customers will be able to upload photographs of an article of clothing that’s similar to what they want to purchase or pair with another. Through AI, a website will be able to analyze the photographs and create a catalog of suggestions based on data from the image for a true machine-learning solution.
With advances in “plain language” systems, more and more users will rely on e-commerce over face-to-face sales interactions. Machine learning is getting better at interpreting conversations, and answering with natural-sounding responses.
If the choice is either searching “Blue summer dress,” or “I’m looking for something relaxed and in a warm blue color,” which do you think would make customers’ shopping experience better?
By replicating the in-person shopping experience over the internet, businesses can shift away from brick and mortar overheads to an e-commerce-centered structure. Significant savings can be realised in the areas of capital expenditures and human resources, all while reducing the opportunity for costly human error as well.
Given all of these factors, you can see how AI could improve your e-commerce business’s potential. Believe it or not, if you’re ready to begin integrating more “machine learning” into your business model, we already have the means to make that happen. Contact us as soon as you’re ready to transform your e-commerce business into a money-making powerhouse!