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How AI Can Assist Your Ecommerce Merchandising

There are many ways that AI can help your merchandising strategy, including personalization, data backed recommendations, and searchandising.

Oli Kashti - Writer and Fact-Checker for Fast Simon
By Oli Kashti

Published August 29, 2025

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AI retail merchandising uses AI to improve how products are managed, displayed and promoted online. Some of the capabilities eCommerce has are:

Let’s take a closer look at some of the ways AI can assist eCommerce merchandising.

Product Placements In Collection Pages

AI systems use customer behavior patterns to understand what customers want when they are in your store. This can be through what shoppers view, click on, or purchase. It then uses this data to recommend products that it thinks shoppers will want next. 

This can then affect your online merchandising. Depending on what your merchandising strategy is, AI can help you merchandise your products most effectively. For example, if you are looking to increase profits and make the most sales, then AI will place the most popular and in demand products at the top of your collections pages. 

If your merchandising strategy is aimed more at promoting one sales collection, such as a summer sales collection, then AI can help here too. It can place the most popular summer products at the top of the collections page, or at the top of the summer page.

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Personalized Shopping Experiences

Merchandising is not a one-size-fits-all solution. Each different shopper on your site will benefit from a different merchandising experience. AI merchandising allows this experience to be tailored to each individual shopper, so the merchandising they receive is specific to them. This is also known as AI personalization.

Based on click profile, or on saved customer history, it can be possible to know what merchandising will suit each shopper best. For example, if you know that a shopper has shown an interest in shorts, when they view your summer collection it makes sense to show the shorts at the top, as this is likely what they will be looking for,

Using this kind of personalization in your merchandising strategy lets shoppers know that you care about them and value their experience in your store. It also helps boost merchant sales at the same time. 

Managing Inventory

AI merchandising helps manage inventory by using predictive analytics to forecast what will happen in the future. Analytics and machine learning can predict what the demand will be like for products moving forwards, this means that you are able to stay ahead of the loop and avoid a situation where you were out of stock or had too much inventory.

AI can also help to automate replenishment processes and match availability to location. This means that costs and waste are reduced, bringing overall benefits to your business.

AI can analyze data from sales history as well as market trends to provide insight into how your customers are acting and what they will need moving forwards. This data is incredibly valuable in order for ensuring that your business is on top of the game.

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Searchandising

AI can also help merchandising within search. Searchandising is the combination of merchandising within site search. This is incredibly useful as site search is the backbone of eCommerce stores.

Using merchandising within the search bar means that when shoppers search, the merchandising rules that the business is using are still in play. AI can prioritise popular products within the search dropdown, in the same way it can on collections pages. This means that all areas of your site will still be following the same merchandising rules.

Conclusion

There are many ways that AI can assist your eCommerce merchandising strategy. The ones we have explored here demonstrate how data backed machine learning can inform strategies and changes on your website to meet up with common demands. AI can also help power personalized merchandising to fit each customers’ needs, as well as allowing merchandising to flourish all over your site, including in search.

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