US20240144311
2024-05-02
Physics
G06Q30/0222
The proposed technology introduces an advanced platform designed to enhance both online and in-store shopping experiences. It aims to create a highly immersive and interactive environment that encourages repeat transactions and personalized add-on sales. The system dynamically generates customized bundles for users based on their purchase history, product data, and merchant information. These bundles are offered at optimal times, enhancing the overall shopping experience by tailoring offers uniquely to each customer.
The innovation focuses on personalizing the shopping journey by creating bundles tailored to individual preferences. These bundles are influenced by user history with the merchant, browsing data, and responses to system-generated questions. The decision to present these bundles is strategically timed to maximize the likelihood of acceptance, considering user preferences for receiving offers. Bundles can include various combinations of products, discounts, or shipping benefits, providing a unique shopping proposition for each user.
A key feature of the technology is its real-time negotiation capability, allowing users to interact directly with the system. This negotiation process is guided by logic that considers bundled products, pricing, discounts, shipping costs, and reward points. Merchants set pricing parameters for items, enabling the system to craft offers that meet both customer desires and merchant expectations. Users can negotiate not just price but also bundle composition, expanding options or opting for reward points instead of discounts.
The system is versatile, functioning seamlessly in both online environments and physical retail locations. In-store shoppers can utilize augmented reality features to engage with customized offers and virtual product placements unique to their profile. Online users access similar interactive experiences through merchant websites, negotiating bundle types, shipping costs, or rewards in an engaging manner. This dual approach ensures a consistent and personalized experience across different shopping platforms.
The technology employs an intelligent method for crafting a personalized shopping experience. By integrating user data from merchant servers, it calculates a bundling timing score to decide when to present offers. These personalized bundles are generated using user-specific data and are dynamically structured based on user profiles and preferences. The interaction between users and merchants remains dynamic and automated, delivering a unique shopping journey tailored to individual needs.