The Challenge

Sifatu Safwa, a bookstore based in Cork, Ireland, specialises in Arabic written Islamic books.

Offering a wide range of volumes, the store sources items from printers and publishers in countries of historically Arabic literature, such as Lebanon, Saudi Arabia and Egypt, and delivers them to customers all across the world.

The Solution

Merchandising Cloud is now complementing Sifatu Safwa’s top quality service with the addition of the leading site search and personalization providers Personalized Search and Recommendations solutions.

Both solutions are now running on Sifatu Safwa’s online site, which runs on the Prestashop platform, improving the purchase journey by helping shoppers find their preferred items quicker and easier.

The Results

How does Site Search and Personalization software improve the ecommerce experience?
With the Personalized Search ecommerce tool, there are two aspects – search accuracy, and personalization.

Accuracy is about precision and recall – making the search as smart as possible so that it can return relevant results to the shopper putting in the query. This includes an autocomplete, predicting what they will type as they’re typing, meaning fewer keystrokes for the user.

Merchandising Cloud’s fast and reliable autocomplete solution (complete with additional Merchandising Cloud-created product stickers) in operation on Sifatu Safwa’s Prestashop-powered store.

Other aspects include Natural Language Processing – the search being able to tell the difference between products and attributes.

An effective search should also include spelling tolerance, ensuring shoppers get relevant results even if they make a typo, and a zero results workaround – ensuring relevant products come up even if the exact query searched for is not present.

Personalization, then, is all about the AI algorithm which analyzes the behaviour of the shopper and learns, in real time, what their preferences are – search results are ranked in order of preference. So, if the algorithm learns the shopper frequently needs LED lights, or has a preference for a certain colour, this is what they will see more of.

The Recommendations solution, then, identifies ‘Hot Sellers’, ‘Recently Viewed Items’, ‘Frequently Bought Together’, ‘Customers Who Viewed This Ultimately Bought’, and ‘Newest Products’. This reliable ecommerce tool allows retailers to maximize their online store’s upsell and cross-sell capabilities without having to manually curate the products shown.

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