In this post we are going to discuss how to use AI in ecommerce to sell more.

1. Create a customer-centric search

Customers tend to move away from ecommerce experiences primarily because the product results are generally irrelevant.

To fix the issue, start by using natural language processing to contextualize and improve search results for shoppers.

Visual elements of search are important for this to happen.

With machine learning, AI can automatically tag, organize, and visually search content by labeling either features of the image or the video.

Custom training lets you build bespoke models where you can teach AI to understand concepts logos products or others.

Use these new models together with prebuilt models like food, weddings, and more to search for media assets, or with the help of visual similarity. Here’s where AI technology gives your business a competitive edge and is available to all businesses. 

Shoppers are rapidly waving goodbye to impulse control as new software platforms that drive eCommerce websites create innovative visual search capabilities.

You can find matching products and AI enables shoppers to find complementary products be it differing on size color, shape, or even fabric. The visual abilities of such software are truly great. By getting visual cues from the imagery, the software can assist the customer to find the product they want. The consumer doesn’t need to go shopping to find something they like.

They can love a friend’s new dress or a new pair of Nikes. 

So a visual search makes it possible for AI to let consumers find similar items on ecommerce stores.

2. Retarget potential customers

33% of marketing leads are not followed up by sales teams. Pre qualified potential buyers interested in your product inevitably fall through the cracks.

Many businesses seem overloaded with hard to manage customer data. There’s an AI that you can use to capture this data and use that to better the sales cycle.

Businesses are already using facial recognition software to find and catch people who are stealing by scanning faces on CCTV cameras.

But how to use AI to improve shopping?

You can use facial recognition to understand customer dwell times in the retail store.

If a customer spends considerable time next to a product this information is stored on for their next visit. We are only using abandoned carrots now for such marketing. As AI develops further we can anticipate offers based on customer’s screens and dwell time.

3. Identify exceptional target prospects

New AI technology helps us segment our customers better. Any tool can provide AI solutions for marketing and sales. You can capture the data by seeing which businesses are using your images. Getty does that.

Getty can identify high quality prospects and this gives their sales team a competitive advantage to win new business. Practical sales intelligence is delivered at scale to Getty’s sales team across millions of potential customer records. Without AI and machine learning in place, Getty’s system would not be possible at these volumes.

4. Product videos help you sell more

To make your eCommerce store an effective sales machine, create AI generated product videos. 

Link your Shopify/WooCommerce Stores with AI tools that generate videos to your catalog. Select the product from the catalog and this tool will generate ecommerce product videos.

You can generate great videos and most of them automatically to social media channels.

Finally, you can use the editor to make changes to videos with animations 5000 multiple options or upload your own videos. And the best part is that you can rely on AI-powered video editing tools like CopyCopter to put text ideas into product videos or improve your videos with AI filters. 

5. Create a more efficient sales process

Thanks to the technology at hand we have moved away from old sales techniques like using Yellow pages and asking potential clients about sales through cold calling.

Customer’s lives are influenced by media from tv advertisements to social media. Snapchat established itself as a viable sales and marketing tool offering you tons of new opportunities.

If you want to tailor craft solutions and create a better sales message that reaches your customers then integrate AI into your CRM.

Most AI systems use natural language processing from the likes of Siri or Alexa. This lets a CRM system to answer customer queries and solve their problems and get hold of new opportunities. Some AI driven systems can even multitask and handle different functions.

The North Face, a large eCommerce retailer, is a good example. They used IBM’s Watson to enable shoppers discover the jacket they wanted. This they did by answering questions like this is a great example of a company stepping up their game by using AI t. “where and when will you be using your jacket?” through voice input AI technology. IBM’s software then scans hundreds of products and gives you a list of perfect matches using real-time customer data and own research.

AI is making sweeping changes to how businesses deal with customers.

6. AI is revolutionizing house renting processes

AI can significantly enhance the process of finding mortgage rates and managing various aspects of house renting by streamlining the search and decision-making process. AI-driven platforms can analyze vast amounts of data from different lenders in real-time, providing users with personalized mortgage rate comparisons based on their financial profiles, credit scores, and preferences. This not only saves time but also ensures that consumers find the most competitive rates available. Additionally, AI can assist in the house renting process by predicting market trends, helping renters understand when and where to rent, and even automating tasks like contract management, rental payments, and maintenance requests. With AI's ability to analyze data and predict outcomes, both homeowners and renters can make more informed decisions with greater efficiency and confidence.

7. Provide a personal touch with chatbots

A new era of advances changes customer expectations. There are new touch points and influences that can generate purchase. Many retailers are already now more sophisticated with AI in capture attention and another approach is using conversational ecommerce.

This is the confluence of visual vocal and written capabilities.

A chatbot is a program to stimulate conversation with human users on the internet. Chatbots can take a core responsibility when running an online business and enabling the same for operations.

Often when consumers are browsing online, they are already logged into social platforms such as Facebook. With this in mind, there is a great opportunity to use messenger functionality to confirm orders or to provide instant online support.

It’s also possible to integrate a chatbot system into a shopping cart.

Once the chatbot system has been integrated with one of your shopping carts, it can work with all the stores based on the platform. The more shopping carts that your chatbot application supports, the more potential customers it has.

8. Implement virtual assistants

All of us need a little help online sometimes. We are familiar with cloud based tools like Siri and or Alexa. They help us talk to phones or laptops.

THe evolution of virtual assistants has become boring for the user with limited useful updates. The advances are always baked in natural language processing advancements.

However, the evolution of many of these virtual assistants have enabled us to do more than simply ask basic questions. So, what does this mean for ecommerce retailers?

Let’s take a look at Amazon’s virtual assistant, Alexa. Unlike other virtual assistants, Alexa has become one of most prominent players in ecommerce. Using Alexa on Amazon’s Echo customers can get gigs through stubhub and book transport on Uber.

9. Make use of influencer product endorsements

You can also use videos to create personalized influencer proposals for each of the influencers you work with for the best results. AI helps you create videos faster. Share the discount code on their posts. Here’s a brand collaborating with a micro-influencer to distribute coupons

Sentient AI is enabling people see and buy things they weren’t aware of existing or ones they knew they wanted.

Netflix uses the recommendations engine and is worth 1 billion. It provides tailored recommendations to millions of subscribers. It can filter 2000 titles using 1200 recommendation clusters to pinpoint what people may be interested in. By analysing data from each customer the engine understand each person’s preferences and creates hyper personalized recommendations.