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The platform typically allows sellers to list their products or services for sale, and buyers to search for and purchase these items.
By connecting buyers and sellers on a single platform, marketplace platforms can create competition among sellers. This can help to drive down prices and increase the quality of products and services.
Additionally, marketplace platforms can provide income opportunities for sellers who may not have access to traditional sales channels or who are looking to supplement their income.
In order to meet the needs of the marketplace, sunsun ventures develops applications based on a unique engine.
Markets in which we target our products are unique, and there are no similar products in them.
This is why we believe our product basket is unique.
Smart apps can link between what we need and what exists by using artificial intelligence (AI) and machine learning algorithms to analyze user behavior and preferences, and then recommend relevant products or services.
1. Personalization: Smart apps can use data such as past purchases, search history, and location to personalize recommendations. For example, if a user has previously searched for running shoes, the app may recommend running socks or other related products.
2. Collaborative filtering: This approach uses data from multiple users to provide recommendations. For example, if several users with similar interests have purchased a particular item, the app may recommend that item to a new user who has similar interests.
3. Content-based filtering: This approach recommends items based on similarities between items. For example, if a user has purchased a book on a particular topic, the app may recommend other books on the same topic.
4. Hybrid approach: This combines multiple approaches to provide more accurate and diverse recommendations.
Smart apps can also use natural language processing (NLP) to understand user queries and provide relevant recommendations. For example, a user could ask a smart assistant for a restaurant recommendation, and the app could use NLP to understand the user’s preferences and recommend a restaurant that matches those preferences.
Overall, smart apps can use a variety of techniques to link between what we need and what exists, providing personalized and relevant recommendations to users.
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