The Internet is large and the number of corresponding products that want to be sold and bought is just as large. As a result, the number of existing online shops is enormous. In order to offer users a comfortable shopping experience, not only does a beautiful interface or inspiring product photos is needed, but also clever automation and AI in the background of the shop. Anyone who observes trends knows that e-commerce and AI go hand in hand.
1) Product descriptions
There are many unpleasant and rather boring tasks that you have to take over when operating an online shop in order to be visible on the Internet. This includes the creation of product descriptions, which are characterized by a simple structure, but also by their large number. The creation is also demanding: SEO tasks must be observed, the texts should be informative and understandable and of course sell the product.
This process can be automated. With correspondingly available data, every shop can be given a casual phrase, “writing robots” in order to generate appealing product descriptions. These are semantically variable and can hardly be distinguished from human-made texts. There are many application examples for e-commerce: hotel descriptions, product descriptions for clothing and many more. Of course, this is also possible in different languages!
2) Search function
As a user, you usually know what you are looking for in an online shop and do not deal with the ordering system of the respective shop in more detail. Instead, the search function is much more interesting and represents the first click that users make on the page.
In this case, an intelligent search function can help the user, because nothing is more frustrating than a search function that is not searching for the right product. In most cases, an intelligent algorithm works in the background, which continuously learns which terms can be used and how, and also includes spelling errors before presenting the corresponding results. A few years ago, the integration of such a search function was very popular and every shop wanted to shine with a perfect search.
But that's not all, which is why it's time to consider a more innovative option: an advanced search function with the help of a chatbot for customer loyalty. What exactly does that have to do with the search function ofe-commerce? The idea behind it is simple: Search functions are built in such a way that you only filter by certain keywords, but what if the user does not yet know exactly what he wants? If, for example, he enters a broader keyword, such as: "clothes for golfing". Not every search function can make appropriate suggestions here. A chatbot, which records the input through a semantic analysis, specifically asks questions and makes suggestions (Natural Language Generation), can be a unique selling point of a shop.
3) Ordering process
Even if the order tunnel in the online shop is well thought out and effectively set up, customers jump out of the order process. This can happen for various reasons, but often because questions arise about the product or the further ordering process.
A specialized chatbotcan also be very helpful for the customer. This guides the customer through the ordering process, for example, and leaves open an opportunity for any questions that arise. The customer can ask his questions, receives an answer immediately and cancels the order less frequently. For this very reason, a chatbot also represents a mixture of two IT solutions: semantic analysis and automatic text generation. Before doing so, it should be clear which problem the chatbot should deal with for the customer and also communicate this. If you leave all options and questions open to the customer, he will also ask all possible questions, which the chatbot then logically does not answer satisfactorily in most cases.
4) Customer support
A large online shop has many customer concerns to deal with. Mostly because a package has not arrived, products are to be returned, products have been delivered incorrectly, etc. The requests made to larger shops can sometimes run into the thousands per day.
In order to provide relief for customer support, these requests can be sorted beforehand using a mailbot. If you want to be even more automated, you can do the following: The emails are previously screened using a semantic analysis (Natural Language Understanding), the information is automatically entered into a support form and then forwarded to the appropriate department. If information is missing, the forms are first sent to the customer so that he can add them. With this mailbot, customer support not only has all the information at hand, it can also take the appropriate steps as quickly as possible and process customer requests even faster.
Conclusion: Check before using Automation Use Case
The 4 ideas for the use of AI and content automation for online shops clearly show that there are not only the well-trodden paths of the known automation processes, but that the application possibilities are diverse. However, not every automation hype should be chased. It is important, as already mentioned when using chatbots, that the use case is clear beforehand and automation is not used due to its own sake. Anyone who takes this into account, who is creative and clever about the possible applications, can quickly and efficiently catapult his online shop to the top with the help of artificial intelligence development by data science company.