5 Product Recommendation Engines available in Lengow

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How to recommend the ideal product to consumers

Accustomed to performing Internet searches to find and purchase products, consumers are looking more than ever for a unique and personalised purchasing experience in order to find the product best suited to their expectations. Today Lengow shares a selection of Product Recommendation solutions that will enable you to recommend the best product to consumers and which are available within the collection of Lengow applications.

According to a study conducted by Qubit, 75% of respondents believe that it is beneficial to receive product recommendations based on previous online purchases. Over time, their requirements in terms of customisation of the buying process have gone beyond the simple history of purchases made and they now wish to have a product recommendation regardless of their level of commitment to your site: new customer, current client, former client…

In order to present an appropriate offer to consumers on your ecommerce website, platforms such as FIT Analytics, TARGET2Sell, Doofinder, Soyooz and Wide Eyes have all developed tools to customise the customers purchase process via product recommendations.

Fit Analytics

Fit Analytics enables customers to find a product that’s exactly the right size based on their shape and size. With the help of their tool “Size Advisor”, FIT Analytics harvests data from multiple sources and analyses all sales recorded in online shops, in order to recommend products that are must suited to buyers. The tool is continually improving since it now takes into account any eventual product returns. As an example, The North Face increased its sales of 2.4% following an A/B test between a classic size guide and the tool “Size Advizor”. ASOS has have also implemented Fit Analytics.

Fit Analytics

Target2Sell

According to Target2Sell, a buyer sees on average 15 products per visit. Specialists in predictive marketing, the platform boasts 500 million recommendations per month and enables online merchants to increase sales on their ecommerce sites, mobile sites and applications or even in their physical stores.

With its module of tailored product recommendations, Target2Sell allows e-merchants to offer content adapted to each individual and to each channel. By enabling a dynamic adaptation of their online store pages driven by a certain number of factors (Navigation history, purchases past and current, in-store purchases…), the platform offers a complete and customised customer experience.

Target To Sell

Doofinder

With its intelligent search engine, Doofinder helps e-merchants improve the on-site user experience. From an initial request performed on the search engine, this solution enables cyber-consumers to easily and quickly find a product. Without leaving the home page, visitors can discover results instantly and then filter their searches. This helps to promote your best-sellers by adding predefined results depending on the search term.

Doofinder

Soyooz

Soyooz has developed a questionnaire that enables on-line merchants to know more about customer expectations when they’re searching for a particular product. Based on a questionnaire using artificial intelligence, this tool plays the role of the seller and allows you to identify customer needs in just a few seconds. With this solution, online merchants can ask multiple questions to site visitors, and then propose a selection of the products that are most relevant.

Soyooz

Wide eyes

Specialist in the fashion industry, Wide Eyes has developed artificial intelligence technology based on image recognition. From a style that they will have searched on the Internet, buyers are able to find similar clothing and accessories on your e-commerce site. With this feature, consumers are able to find products easily; even buy the complete style that is proposed to them. As at today Wide Eyes claims an increase of 40% on conversion rates and 30% on average order value.

All these recommendation applications are available on the Lengow platform.

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