6 Ways Machine Learning Can Impact Your Shopify e-Commerce Sales.

With machine learning technology becoming increasingly popular, it’s finding it’s way into almost every industry.  eCommerce is no different, and as such your e-commerce online store can benefit greatly implementing artificial intelligence (AI) and machine learning (ML). It may sound complicated but rest assured we’ve made it extremely simple to get Shopify owners started in no-time!

Machine learning involves having computers use algorithms to get better at particular tasks. The more data you feed these systems, the better they can become at analyzing it and predicting results.

Before we dive into what Curve can do for your Shopify business, let’s take a quick look at how e-commerce solutions using artificial intelligence can help boost your online retail business.

#1: SEARCH RESULTS

With machine learning lets you provide personalized search results based on the preference of the online customer. eCommerce giants like Amazon and eBay have already implemented personalized search results to deliver content that isn’t only relevant but also targeted to the specific searcher. Search results powered by machine learning take into consideration your purchase history, your location and your previous search preference to provide the most relevant results.

FIND OUT MORE ABOUT CURVE FOR SHOPIFY

#2: RETARGETING

Have you ever browsed through e-commerce sites, not bought anything and later on found ads of the same product in your Facebook newsfeed? Well, that’s the power of retargeting. As a retailer or e-commerce business owner, artificial intelligence should be used as part of your sales optimization tactics, specifically with to retarget customers who have left without buying.

This would help in not only bringing back lost customers but also help you to analyze the in-store behavior of your customers. Now you can easily check which product majority of your audience is visiting and stock that up.

#3: PRODUCT RECOMMENDATIONS

Product recommendation is typically the first thing people have in mind when they think about machine learning for e-commerce. Features like “if you like product x, you will probably also like product y” have been shown to work remarkably well, and they can serve as a valuable tool to guide users through the ever-increasing masses of options available to them.

Why are product recommendations so important? Typically, people have a tendency to have the good feeling with the company that gives them more attention. In other words, customers all expect to receive special care from online stores. With support from product recommendation engines, online store system can track all customer shopping behaviors and set up personal mode for every consumer.

#4: FRAUD ELIMINATION

Retailers frequently have to deal with abusive customers that use stolen credit cards to make excessive orders or customers that retract payments via their credit card company once products have already been delivered.

With machine learning and sales optimization, you can check out patterns for any anomalies. Since frauds happen when there are anomalies or difference in pattern, you can check and eliminate the whole process. If you are a retailer, you can learn what is ‘normal’ and stop any transactions, which are not.

#5: PRICE OPTIMIZATION

One of the benefits or artificial intelligence is that it has a lot of facets, which you can use for your business. When you use the data obtained from your competitors, and your audience, you’d know the unique price point at which you can sell your stuff. While this might be useful, it can also cause issues for you, if your competitor sells at a lower price.

#6: CUSTOMER SERVICE

Well, the type of service the company provides to its customers defines a retailer. Same is the case if you are an online seller. Unfortunately, if you are a small business owner, paying for a customer service team for round the clock service can be quite costly. This is where artificial intelligence can come in handy. You can use predefined templates for answering the questions of your customers. Once you have screened the basic inquiries, you can use in-house staff to answer the more detailed questions. This would help you to not only curb costs but also provide better and personalized service to your users.

Machine learning can help you with better customer retention and managing your marketing campaign effectively. What’s more, you can easily find out the return on your investments when you checking out the key point indicators. All in all, this can be handy if you know how to use the technology for your improvement.

WHY CURVE FOR SHOPIFY?

Being an e-commerce merchant is tough enough, Curve features the simplest, most human-friendly, easy-to-use dashboard: no graphs, no piles of data, just clear, simple conclusions.

Curve’s machine learning technology gathers and analyzes your Shopify data, cross-examines it with worldwide holidays, calendars, stock exchanges, and even the weather, and generates simple actionable insights for you, today.

Find out more about Curve for Shopify.

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