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Does Your eCommerce Site Need A Recommender System?

At times, the internet can feel a little overwhelming. You might be looking online for a new shirt or dress, only to be left feeling completely blown away by the sheer amount of choice available. Since the digital age is continuing to rise, it stands to reason that the number of retailers selling similar products is also increasing.

For ecommerce sites, this can present a real headache. When you consider the sheer size and competitiveness of the internet, what can you do to make sure customers are finding your products? Well, the biggest ecommerce giant of them all- Amazon- has been successfully using recommender systems to present customers with other products they might be interested in.

So, is it time for your business to follow their lead?

Effectively Promoting Your Products

It’s all about promoting the right products to the right people. Your ecommerce site will have to fight tooth and nail to stand out from competitors, but the real trick is to make sure your products aren’t getting lost within it.

If you’re selling thousands of different products, the chances are the majority of customers will miss something they would be interested in purchasing. Of course, a recommendation engine will keep track of a user’s viewing and purchase history, and then advertise products to them based on that data.

We’ve all had our eye drawn by that ‘Recommended For You’ section on Amazon, Tesco and wherever else we might shop. The effectiveness of this kind of system shouldn’t be underestimated.

The Use of Artificial Intelligence

Just over a year ago, music-streaming site Spotify took recommender systems to the next level, by implementing advanced deep learning techniques. For years, they offered a Discover Weekly playlist which promoted songs based on listener habits and trends, however there was nothing in place to recommend new releases.

But it all changed with the Release Radar playlist. By using AI that can research the audio and cross-reference this with the listener’s history, Spotify were able to suggest music for which there was no data to track.

For ecommerce businesses, this technology could prove revolutionary, as retailers could soon be able to use deep learning techniques to optimise the products they are recommending. Ultimately, this will spike the interest of the user and lead to an improved conversion rate.

Improving the User Experience

We keep banging on about the importance of UX right now, and the use of a recommender system is bound to improve that experience. From a user’s point of view, a site that’s actively seeking to show them a personalised list of recommended products is making life easier for them. When a website is making the browsing journey convenient and simple, it stands a much better chance of bringing customers back for more.

With the likes of Amazon, Spotify and Netflix all using recommender systems effectively, you can’t argue with the results of this kind of engine. However, all effective ecommerce websites begin with the best Magento development Manchester has to offer. Contact VisionSharp today to find out how we can optimise conversion rates and increase traffic to your site.


Want to see how we can help you? Get in touch.