In-Vehicle CRM Data Access via Cloud Mediation
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Solution Overview
Problem
Existing systems fail to provide real-time sales insights and productivity enhancements for vehicle occupants, due to the complexity of heavy databases and processing requirements, which are not easily implementable for a satisfactory in-vehicle experience.
Innovation Solution
An in-vehicle system equipped with a transceiver system and a vehicle controller, capable of communicating with surrounding infrastructure and vehicles, and programmed to transmit electronic requests to a CRM server, receive and display relevant information, and perform facial recognition and natural language processing to enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If heavy databases with heavy processing are used to provide sales insights and productivity information, then the information completeness and accuracy are improved, but the system complexity and computational overhead increase significantly
Solution Approach 1:
The patent introduces a cloud-based server as an intermediary to host the heavy CRM database and processing infrastructure. The in-vehicle system acts as a lightweight client that connects to this external server, thereby accessing comprehensive sales insights without bearing the computational burden locally. This mediator approach allows information-rich queries to be processed remotely while keeping the vehicle system simple.
Solution Approach 2:
The system architecture is segmented into multiple components: a lightweight in-vehicle controller, a cloud-based CRM server, and communication interfaces. The heavy database and complex processing logic are separated from the vehicle system and placed on the external server. This segmentation allows the vehicle system to remain simple while still accessing comprehensive business information through structured queries.
2Productivity
If real-time updates and sales insights are provided to vehicle occupants, then the productivity enhancement is improved, but the data transmission requirements and processing load increase
Solution Approach 1:
The system implements periodic data synchronization where the in-vehicle controller requests updates at scheduled intervals or triggered by specific events (e.g., entering a geographic fence, completing a task). Rather than continuous real-time streaming, this periodic approach provides timely updates while significantly reducing the overall data transmission volume and associated energy consumption.
Solution Approach 2:
The system pre-loads and caches relevant sales insights and business information during periods when the vehicle is stationary or when network conditions are favorable. This preliminary action ensures that critical information is readily available during driving without requiring constant real-time data transmission, thereby reducing energy consumption while maintaining productivity benefits.
3Ease of operation
If facial recognition and natural language processing are implemented for user interaction, then the ease of operation is improved, but the computational requirements and processing time increase
Solution Approach 1:
The patent leverages the external CRM server and cloud-based AI services as intermediaries to perform computationally intensive facial recognition and natural language processing tasks. The in-vehicle controller captures images and audio, transmits them to the external server for processing, and receives the results. This approach provides advanced interaction capabilities without overloading the vehicle's onboard computing resources, thereby minimizing local processing time.
4Adaptability or versatility
If the system communicates with surrounding infrastructure and vehicles, then the adaptability and information access are improved, but the communication complexity and security requirements increase
Solution Approach 1:
The system employs a universal communication interface based on standardized V2X (Vehicle-to-Everything) protocols that enables the in-vehicle controller to communicate with multiple types of external entities (other vehicles, infrastructure, servers) through a single unified interface. This multi-functional approach enhances adaptability to different communication scenarios while avoiding the need for separate specialized communication systems for each entity type, thereby managing complexity.
Data Source
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AI summary
In at least one embodiment, an in-vehicle system is provided that includes a transceiver system and a vehicle controller. The transceiver system may be positioned in a first vehicle and is configured to enable communication with one of a surrounding infrastructure to the first vehicle and a surrounding vehicle to the first vehicle. The vehicle controller may be positioned in the first vehicle and is programmed to transmit an electronic request, via the transceiver system, to a Customer Relationship Manager (CRM) server and to receive first information corresponding to the electronic request from the CRM server. The vehicle controller is further programmed to transmit the received first information to one a display in the first vehicle, the surrounding vehicle, and the surrounding infrastructure.