6 Ways Ecommerce Sites can Benefit from AI in Digital Marketing » Figment Agency

You must have experienced how ecommerce websites are continually showing the products similar to those you just checked. Well, it is also one of the uses of artificial intelligence in ecommerce. AI and machine ecommerce chatbot use cases learning algorithms can predict the behavior of the shopper from their search history, likes, frequently bought products. AI websites “learn” to recommend the products that the user is really interested in.

• This method has been widely used by many businesses, as we are all familiar with such communication channels.
• Once the chatbot is deployed, it will be available 24×7 to greet your visitors and collect their information.
• A chatbot is a computer program that uses artificial intelligence (AI) and natural language processing (NLP) to automatically engage with received messages, such as customer queries.

It is estimated that by 2040, people will make 95 percent of their purchases online. Currently, in the UK, 51 percent of consumers say they prefer to shop online, and those that shop online use the internet for 87 percent of their retail purchases. It is clear that optimising your eCommerce platforms to offer your customers the best shopping experience possible is essential to boost sales and prepare for the future of shopping. There are a number of ways in which eCommerce sites can benefit from chatbots, and we take a look at some of these benefits here.

Marketing Bot

The real-time collecting and processing of large quantities of data on user behaviour enables firms to offer customers a personalised purchase experience, which is good for the bottom line. With Simplify360’s chatbots, you can automate 90% of your customer support and convert prospects into sales with personalized recommendations. Connect with customers on channels they prefer by deploying bots on multiple platforms and enable agents to respond to queries from one inbox.

It is only natural for conversational AI use cases to increase in the next few years. As the accessibility of computers and intelligent devices increases, conversational AI use cases also improve. Conversational AI is used in both the commercial and domestic sectors today. Here are the few conversational AI use cases that highlight the revolution that conversational AI truly is. The best way to test your bot and assess whether it plays a crucial role in your customer journey is to apply the Test & Learn method. Deploy an initial version of your bot, evaluate its impact, monitor the first results and act accordingly.

Types of Conversational Commerce

But there are challenges in manually creating personalised customer experiences that work on an individual level. As the demand for AI solutions continues to grow, retailers are faced with a critical decision of whether to build the future themselves or buy a ready-made solution from a SaaS provider. While building a tailor-made solution https://www.metadialog.com/ may provide a competitive advantage, it requires significant investments in expertise, infrastructure, and resources. It allows customers to search for products by uploading an image or taking a photo with their smartphone. The AI algorithm analyses the image and provides results that match the visual characteristics of the product.

Within seconds, they can search through a database for information they need and make it available to the user. This saves the user a lot of time and nerves when searching for information and provides a stress-free shopping experience. Within working hours, the user can be forwarded directly to the live chat. In this case, the chatbot can answer all standard customer service questions and thus relieve the customer service team of a lot of work. The future of AI in e-commerce is promising as it provides personalized shopping experiences, including hyper-personalized product recommendations and customized marketing campaigns.

Reinvent how you build relationships with messaging automation

As more countries join the profit-driven band-wagon, more businesses employ artificial intelligence to support round-the-clock sales. And though implementing of the chatbots comes with the starting price of $20,000 and up, the benefits are worth it. The value it provides your customers should dictate ecommerce chatbot use cases how you design and implement a Facebook Messenger chatbot. Facebook’s chatbot platform through Messenger is another crucial piece of technology to follow. These microbots can be deployed by store owners in sequence and in context, offering customized and automated conversations that happen in phases.

All this contributes to making customers more engaged with surveys,  all thanks to the way chatbots present them. Before making a purchasing decision, most customers will ask the same types of questions regarding what they are buying. Answering such repetitive questions will take up your customer support’s valuable time and resources.

Professional Services

In fact, messaging apps have the highest customer satisfaction score of any support channel, with a CSAT of 98%. Customers want to interact with brands on the same digital channels they’re already using in their personal lives. The primary benefit of bots that support omnichannel deployment is that they know your customers and can help provide a consistent experience on all channels.

In fact, over 59% of millennials and 60% of Gen Xers in the United States have interacted with chatbots. Business applications of chatbots for consumer-facing goods are growing rapidly. Chatbots are tiny programs that help simulate interactions with customers automatically based on a set of predefined conditions, triggers, and/or events. Read about Göteborg Energi automating more than 60% of their online support already during the first month with a chatbot. Therefore, for this last chatbot use case, we’re going to go out of the box and recommend an internal use-case for chatbots instead. Companies can reduce costs and onboarding time dramatically by building such an infrastructure with the help of a chatbot.