The buzz surrounding AI is further fortified by daily enhancements in AI-based techs including VA’s such as Siri, Alexa, and Cortana, and various others. As users become accustomed to these tools, their use will only increase. Since Magento is a popular ecommerce platform, the question is, how will these changes impact it.
Machine learning algorithms require a huge amount of data to learn and make decisions. According to AI development company InData Labs, for AI algorithms, data is randomized and anonymized to preserve the patterns, so it doesn’t point to any individuals, but groups those with similar behaviors.
What Can AI Do For E-Commerce?
Specifically, AI should help Magento store owners increase ROI, make customers feel catered to, without losing their privacy, and create new and workable ways of marketing.
Bridge The Gap
The downside of online shops is that there is an acute lack of personal touch. In a brick and mortar store, the shopping assistant can ask enough additional questions to make a unique selection. This is something website filtering is unlikely to achieve.
AI can learn about the client long before they land on a website and use all that wealth of information to present them with a ready-made selection of products they would like, need, or which would fit them. The technology can even perform other tasks of an assistant, like offering coupons, loyalty programs, and price alerts to make the visitors reach a buying decision.
Magento already includes such features in existing apps, but there is always room for growth. The new apps for Magento should consist of the following specific requirements.
Scrolling through endless catalogs take a long time, and when you add the frustration caused by a slow Internet connection or a poorly designed website, you have a recipe for cart abandonment. The role of AI is to cut as many of the potential drop out points as possible and provide the client with a flawless experience, across multiple channels.
For example, if the client has already searched for a similar product on a competitor’s website, the system should display the best selection of that category prominently.
Offer Conversational Commerce
The introduction of chatbots as selling tools may offer a significant improvement of existing shops. With the help of AI, the bots use natural language processing (NLP) that makes them relate to customers almost as quickly as a customer service representatives.
In a chat window, the bot can ask client questions and refresh offers as it gets additional details about the intended purchases.
Conversations can take place via text, by voice or even through pictures. This new way of interaction was inspired by the popularity of messaging apps, which changed the way people interacted with each other. Now is the time for brands to adopt this way of communication.
The Magento store already features a few chatbot options, and new ones can be added at any time. The best thing about these tools is that they can be built on existing technology and trained on a new set of data to become specific to any shop.
New Ways of Searching
The search bar and filters are still going to be a big part of the search in e-commerce platforms, but some new tools are now available for this purpose.
Visual search is based on image recognition algorithms powered by AI. Imagine if, instead of looking for an item similar to the one you saw, you could look for it online by uploading a picture.
Voice search is something we already use with our smartphones and home systems like Alexa. By describing what people want in natural language, the algorithms use contextual search to identify the products that would best suit their needs.
Cybercrime is a plague for online commerce. Clients are afraid for the safety of their financial data. AI can be used on platforms like Magento to prevent frauds by identifying payment patterns. The best news is that a dedicated app for fraud prevention is way more reliable than rules and even human judgment.
This could help conservative companies – who turn down genuine orders just because they look suspicious accounting for a loss of up to $20 billion worth of business.
Magento Applications Based On AI
The beauty of Magento comes from the productive environment of apps that work by the plug and play principle or with just a few settings. The Magento developers’ community has created a few AI-powered apps, which can bring the future to your store. Here are just a bunch of examples and their functionalities.
- Chloe – This app is a personal assistant for your visitors. It takes voice and text commands based on Natural Language Processing (NLP). The value proposition of Chloe is that it provides services on the go and understands natural language, thus offering comfortable and hassle-free navigation. It works very similar to Siri or other assistants, but it is specific to your ecommerce website.
- Search Spring – Any great web-shop has an optimized search bar. This widget works with real-time inventories, enhances product SEO, and persuades customers to return. The instantaneous indexing gives merchants control and improves relevance.
- Choice AI – AI offers extreme personalization, product or campaign-specific landing pages and smart sorting and filtering.
The End of Shopping Frustration
We are still far away from the moment when AI will be fully autonomous and potentially dangerous. Currently, the applications are just a step further from coding and rule sets. By uncovering patterns about customer behaviors, AI can contribute to better personalization, enhanced transaction security, and a more customer-centric feeling.
Together with these solutions, we also predict a happier and less frustrated customer who will be able to search naturally and receive the answers they are looking for in a predictive manner.
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