US20240362692
2024-10-31
Physics
G06Q30/0611
The patent application details a computer-implemented method using generative AI to facilitate vehicle purchases. By detecting a buyer's interest in a vehicle type, the system inputs this information into an AI model trained on vehicle transaction data. This model identifies potential sellers, establishes communication, and negotiates purchase terms. It then presents these terms to the buyer, streamlining the purchase process and potentially improving negotiation outcomes.
Traditional vehicle negotiations can be challenging for buyers lacking expertise or negotiation skills. Buyers often cannot manage multiple negotiations simultaneously, making it difficult to explore all options. This system aims to simplify and enhance the process by automating interactions with sellers and handling logistics like test drives and loan negotiations, addressing inefficiencies in conventional methods.
The system comprises local or remote processors and various electronic devices such as mobile devices, wearables, and smart glasses, which are interconnected wirelessly or through wired communications. The AI model is trained to recognize patterns in buyer behavior and vehicle purchase terms, allowing it to negotiate effectively with sellers. This technology can be implemented via chatbots or voice bots, leveraging models like ChatGPT or Google Bard.
The computing environment includes a user device for the buyer and a seller communication device, both connected through a network. The user device could be any smart gadget capable of storing and executing software modules. These devices facilitate interaction with the AI model, enabling seamless communication between buyers and sellers.
The AI's negotiation capabilities extend beyond simple text exchanges; it can produce various outputs like visual displays or audible responses, suitable for AR/VR environments. This flexibility enhances user experience by providing multiple ways to engage with the negotiation process, making it accessible across different platforms and devices.