Machine Learning will work toward mining abandoned baskets online.

Most people still don’t fully grasp what machine learning really is, if you are one of those people, don’t worry, I was too up to a couple of months ago. In summary, the definition on Wikipedia is as follows:

“Machine Learning is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. (continues)”

Machine Learning has so many applications and has had a major impact on optimisation for many organisations. It’s only logical that the online shopping world will harness this to grow sales. The current trends sees online shops using machine learning to target Abandoned Shopping Baskets.

According to Shopify, they have seen an increase of up to 12% on some of the shops they have implemented a level of machine learning, specially focusing on Abandoned Cart e-mails, to make them more relevant, personalised and targeted.

Applying machine learning in e-commerce can drastically improve how you communicate, at what frequency and to which customer with a very personal approach. Considering that customers are already willing to buy basic goods online from a Chatbot, one can definitely spot a trend of automation in the e-commerce world. Brace yourself!

Cassie van Wyk is the main author of this blog and has years of experience in the field of channel marketing and e-commerce respectively. He has a passion for writing and sharing knowledge, and does a lot of research in order to bring factual information to all the blog visitors. Feel free to reach out at any time!

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