Recommend Introduces Next-Generation Product Discovery Platform: "The Future of Shopping Lies in Personalization"

Recommend serves as a product discovery platform, offering personalized online shopping experiences and contextual product presentations. As e-commerce evolves from a transactional to a discovery-oriented model, Recommend aims to streamline shopping decisions for users, guiding them to seamlessly discover the products they seek.
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Recommend [https://www.recommend.co/en-US] has unveiled a next-generation AI product discovery platform. Named Recommend, the platform allows users to discover personalized shopping recommendations, explore relevant products across various categories, and see which products their friends recommend and use.

Recommend is available in 9 markets including the United Kingdom and the United States. On both the platform and mobile applications for iOS and Android, users can discover products across nearly 20 categories, ranging from clothing and beauty products to household appliances and sports equipment.

"At Recommend, the emphasis is on building the content around the products and personalization. That's why, alongside a selection of top brands and products, we provide our users with concise contextual information that answers the question - what is the context of this product selection?," explained Ivan Andabak, Co-founder of Recommend.

How To Deal With Information Overload?

It's often said that in the past, the issue was the lack of choices, but ironically, the solution-more choices-has become the problem.

"The number of choices we face daily is enormous, especially when it comes to deciding what we want or need to buy. Information overload further complicates decision-making. The real challenge lies in determining how to choose precisely what we need," emphasizes Andabak.

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The Contemporary E-Commerce Landscape

The e-commerce landscape is undergoing a period of change. Once, online shopping was transactional, but now it's discovery-driven.

"The first generation of online shoppers searched for a specific product in a specific variation, such as jeans size 27/30. Jeans were then purchased from online stores with a wide range of products, with jeans being just one of them. The second generation of e-commerce is characterized by specialization. Customers visited specialized stores. They didn't have a specific jeans model in mind, but they wanted to find the perfect pair of jeans," explains the co-founder of Recommend.

Finally, the third generation of e-commerce brings a focus on individual experience: "The key verb becomes 'to discover.' Alongside finding the right pair of jeans, it's about experiencing the product. Shopping is no longer just a means to enable life to happen. The experience of shopping and discovering new products has become an integral part of life. And in doing so - precisely because of the information overload - personalization plays an increasingly important role."

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The Power of Personalization

Andabak underlines that every person has a unique set of needs, expectations, and tastes: "Without personalization, it's impossible to create meaningful content and provide a relevant shopping experience. Offering winter tires on sale to someone who doesn't own a car would be pointless."

"Besides that, personalization is important for combating the internet's information overload. Discovering relevant products in a contextual environment, easy browsing, and simple navigation through the catalog enables a smooth shopping experience that seamlessly integrates into everyday life," clarified the Recommend's co-founder.

Jobs-To-Be-Done in Online Shopping

Recommend [https://www.recommend.co/en-US/how-it-works] is a personalized product discovery platform where various products are presented in a jobs-to-be-done framework. Jobs-to-be-done is based on the assumption that people hire products or services to accomplish a specific task or to satisfy a particular need.

"A person buying a drill doesn't actually want a hole, but rather a shelf for books on the wall. The hole and the drill are just means to an end as the framework states", explained Andabak.

"That's precisely why we decided to approach products within this framework. Every piece of content on Recommend answers the questions: what problem does this product solve for me? what do I gain from it? how will my life become better because of this product? In addition to our original content, these questions are also addressed by user-generated content on Recommend, as well as content from content creators [https://www.recommend.co/en-US/for-creators], experts in various fields", concluded the co-founder of Recommend.

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Conclusion

Recommend is a product discovery platform that provides a personalized approach to online shopping and presents products in context. In the e-commerce landscape, which has transitioned from transactional to a product discovery experience, Recommend's idea is to facilitate shopping decisions for its users, help them discover new products, and make shopping fun.
Media Contact
Company Name: Recommend
Contact Person: Ivan Andabak
Email: Send Email [http://www.universalpressrelease.com/?pr=recommend-introduces-nextgeneration-product-discovery-platform-the-future-of-shopping-lies-in-personalization]
Country: United States
Website: https://www.recommend.co/en-US



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