Systems and methods for enhancing in-vehicle digital productivity through peer-to-peer communication

Abstract

In at least one embodiment, an in-vehicle system is provided, the in-vehicle system including a transceiver system and a vehicle controller. The transceiver system is locating in a first vehicle and configured to communicate with one of the infrastructure surrounding the first vehicle and one of the surrounding vehicles. The vehicle controller is locating in the first vehicle and programmed to transmit electronic requests to a Customer Relationship Manager (CRM) server via the transceiver system and to receive first information corresponding to the electronic requests from the CRM server. The vehicle controller is also programmed to transmit the received first information to one of the displays in the first vehicle, the surrounding vehicles, and the surrounding infrastructure.

Description

[0001] Cross-references to related applications

[0002] This application claims the benefit of U.S. Provisional Application Serial No. 62 / 908,393, filed on September 30, 2019, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0003] The aspects disclosed herein generally relate to systems and methods for enhancing in-vehicle digital productivity through peer-to-peer communication. This aspect, along with others, will be discussed in more detail herein. Background Technology

[0004] There are currently gaps in bridging the gap in mobile car sales insights and productivity for sales companies. Sales insights and productivity typically involve heavy databases with complex processing and languages. Achieving these aspects to obtain a satisfactory and productive in-vehicle experience can be challenging. Furthermore, there are currently no options to provide real-time updates or mobile sales insights to occupants in the vehicle. Summary of the Invention

[0005] In at least one embodiment, an in-vehicle system is provided, the in-vehicle system including a transceiver system and a vehicle controller. The transceiver system is locating in a first vehicle and configured to communicate with one of the infrastructure surrounding the first vehicle and surrounding vehicles. The vehicle controller is locating in the first vehicle and programmed to transmit electronic requests to a Customer Relationship Manager (CRM) server via the transceiver system and to receive first information corresponding to the electronic requests from the CRM server. The vehicle controller is also programmed to transmit the received first information to at least one of the first vehicle, the surrounding vehicles, and displays in the surrounding infrastructure.

[0006] In at least another embodiment, an in-vehicle system is provided, comprising a transceiver system and a vehicle controller. The transceiver system is located in a first vehicle and configured to communicate with one of the infrastructure surrounding the first vehicle and one of the surrounding vehicles. The vehicle controller is located in the first vehicle and is programmed to transmit electronic requests to a CRM server via the transceiver system and to receive first information corresponding to the electronic requests from the CRM server. The vehicle controller is also programmed to transmit the received information to one of the infrastructure surrounding the first vehicle and one of the surrounding vehicles. The received first information corresponds to business-related activities of the occupants of the first vehicle.

[0007] In at least another embodiment, a method for performing communication with a CRM server is provided. The method includes communicating with one of the surrounding infrastructure of the first vehicle and one of the surrounding vehicles of the first vehicle via a transceiver system located in a first vehicle. The method further includes: transmitting an electronic request to the CRM server via the transceiver system; and receiving first information corresponding to the electronic request from the CRM server. The method also includes transmitting the received first information to one of the surrounding infrastructure of the first vehicle and one of the surrounding vehicles of the first vehicle. The received information corresponds to business-related activities of the occupants of the first vehicle. Attached Figure Description

[0008] Embodiments of this disclosure are specifically pointed out in the appended claims. However, other features of the various embodiments will become more apparent and will be best understood by referring to the following detailed description in conjunction with the accompanying drawings, in which:

[0009] Figure 1 The overall description outlines a system for enhancing in-vehicle digital productivity through peer-to-peer communication, based on one implementation scheme.

[0010] Figures 2A to 2E The overall description outlines various attributes that can be executed by the in-vehicle system according to one implementation scheme; and

[0011] Figure 3 A method for receiving codes from surrounding vehicles and transmitting information corresponding to requests from surrounding vehicles, according to one implementation scheme, is described. Detailed Implementation

[0012] Detailed embodiments of the invention are disclosed herein as needed; however, it will be understood that the disclosed embodiments are merely illustrative of the invention as it may be embodied in various and alternative forms. The drawings are not necessarily drawn to scale; some features may be enlarged or minimized to show details of specific components. Therefore, the specific structural and functional details disclosed herein should not be construed as limiting, but rather serve as a representative basis for teaching those skilled in the art to apply the invention in different ways.

[0013] The aspects disclosed herein generally provide, but are not limited to, the integration of mobile digital sales and business management productivity features within vehicles. For example, vehicles can now provide secure productivity and reduce office space requirements because business owners can conduct and manage their business while in their vehicles. This can be particularly advantageous for Level 3 and higher autonomous vehicles (AVs). In-vehicle systems, as described below, can facilitate sales between vehicle occupants (e.g., business owners) and customers outside the vehicle. For example, in-vehicle systems provide electronic logistics for sales productivity in moving vehicles. Additionally, digital sales productivity can be enhanced via location-based peer-to-peer communication. In addition to V2X-based (i.e., V2V or V2I) business insights, vehicle occupants can also engage in geo-based business insights.

[0014] In-vehicle systems can also provide improved user interface functionality to enable frictionless interaction between user actions / requests / activities and externally located Customer Relationship Management (CRM) servers. For example, vehicle occupants can request complex reports, sales figures, and amounts stored on an external CRM server via minimal gestures within the vehicle, reducing / alleviating driver distraction. In-vehicle systems can employ Natural Language Processing (NLP) to accurately interpret underlying intents (e.g., comparing trends, applying filters) and the parameters corresponding to those intents (e.g., field names, data values, etc.) and map such intents to appropriate system actions and deliverables provided within the vehicle (e.g., creating new visualizations, updating existing charts, etc.). The user interface can also generate visualizations for the user to interpret outputs that will be provided, such as voice-supported graphics. Additional user interfaces may include eye tracking, facial recognition, lip reading (e.g., camera-based images), etc. These aspects can help improve the accuracy of vague or ambiguous requests provided by the user (e.g., requests that may be unclear or overly complex due to multiple meanings of similar-sounding words). Furthermore, the accuracy of continuous contextual dialogue can be improved and can be approximated to the accuracy of face-to-face verbal interactions between humans. Similarly, gaze can be used to infer the context for refining and limiting the vocabulary of voice control (e.g., in-vehicle systems retrieving data from diverse but specific databases).

[0015] In-vehicle systems can utilize gaze-enabled macros, motivations, and methods. For example, shortcuts for commands or action sets initiated with a single utterance can be combined with eye tracking. Commands and / or functions may include operations related to the embedded system domain, off-vehicle or cloud-related operations (or combinations thereof). In-vehicle systems can also provide in-vehicle scenes (or sales reports) displaying pre-defined, specific sales graphic views of in-vehicle consumption, which can be assisted by voice interaction.

[0016] Figure 1A system 100 for enhancing in-vehicle digital productivity through peer-to-peer communication, according to one embodiment, is described. System 100 generally provides a mechanism for vehicle occupants (e.g., drivers (or users)) to manage business through a user interface with vehicle 102. System 100 can provide in-vehicle mobile digital sales productivity. Specifically, system 100 may be configured to interface with an external Customer Relationship Manager (CRM) server 103, including an electronic database 140, for the purpose of managing and coordinating activities related to an enterprise (e.g., small, medium, or large) while the driver is in vehicle 102. For example, system 100 may interface with any number of CRM platforms, such as, but not limited to, Salesforce. TM Pipedrive TM Hubspot TM Monday TM Zoho CRM TM Vcita TM PiplelineDeals TM It will be recognized that such a system may require a large amount of computational processing, and the level of computational processing required to interface from vehicle 102 with the CRM software provider (e.g., CRM server 103) has become difficult to overcome. The implementation scheme described herein in conjunction with system 100 reduces the computational overhead required to interface with the CRM software provider and provides a simple and seamless interface from vehicle 102 with the CRM software provider.

[0017] Vehicle 102 may be configured as an autonomous vehicle, and system 100 may support any of the AV automation levels. In one example, system 100 may be configured to enable a user to interface with CRM server 103 while minimizing driver distraction when active driver engagement in driving vehicle 102 is required. System 100 includes at least one vehicle controller 104 (hereinafter referred to as "Vehicle Controller 104"), a transmitter / receiver system 106, and at least one front-facing camera 111 (hereinafter referred to as "Front-facing Camera 111"). The transmitter / receiver ("TX / RX") system 106 is generally equipped to support V2X (e.g., vehicle-to-vehicle or vehicle-to-infrastructure communication). The Tx / Rx system 106 generally includes dedicated short-range communication (DRSC) processing circuitry 108 and cellular V2X processing circuitry 110. The DRSC processing circuitry 108 generally enables vehicle 102 to communicate with surrounding vehicles 112a, 112b and / or surrounding infrastructure 114 (or the surrounding environment (e.g., road signs, traffic lights, etc.)) via over-the-air messages conforming to the IEEE 802.11p standard (or other suitable standards). Optionally, the long-range communication options between vehicle 102, surrounding vehicles 112a, 112b, and surrounding infrastructure 114a may involve cellular V2X (or 4G / 5G (or other suitable network) V2X). Although not shown, it will be appreciated that vehicle 102 may also communicate with a server outside vehicle 102 via Wi-Fi.

[0018] System 102 also includes a microphone 120, an interior-based camera 122, and a speaker 124. Vehicle controller 104 is generally configured to receive input from the microphone 120 and the interior-based camera 122. Vehicle controller 104 includes a gaze processor 130, a face recognition processor 132, and a natural language processing (NLP) system 134. The gaze processor 130 receives input from the interior-based camera 122 to detect, track, and determine the focal region of the driver's eyes. In one example, the gaze processor 130 may detect or determine the primary focus source of a specific subset of information on a document displayed on a monitor in vehicle 110. The face recognition processor 132 receives input from the interior-based camera 122 to detect specific facial patterns or gestures. In one example, the face recognition processor 132 may detect the identity of the driver (or other vehicle occupant) and use this information to authenticate the occupant's credentials to CRM server 103 to establish communication between vehicle 102 and CRM server 103. Additionally, the facial recognition processor 132 can identify various facial expressions, such as a frown that might indicate frustration or a smile or nod of approval that might indicate pleasure or satisfaction with an item delivered from the CRM server 103. The facial recognition processor 132 can use facial expressions in context to determine whether a document presented on a display corresponds to a document that can be requested from the CRM system via voice input into the microphone 120. The NLP system 134 can receive input from the microphone 120 and determine the intent of the received voice input to provide the requested aspect from the CRM server 103.

[0019] By utilizing microphone 120, in-vehicle camera 122, gaze processor 130, facial recognition processor 32, and / or NLP system 134, vehicle occupants can access business-related documents on CRM server 103 for display on the vehicle's screen (or optionally, on the occupant's mobile device via Bluetooth connection to vehicle 102). Therefore, while in vehicle 100, vehicle occupants may be able to manage their business. Similarly, traditionally, access to CRM server 103 has been computationally expensive. However, through communication via V2X-based Tx / Rx system 106, vehicle 102 can access and manage critical business documents and operations while on the move. Likewise, vehicle occupants can generate sales opportunities by marketing goods, products, services, etc., to occupants in other vehicles or to customers outside the vehicle via V2V and V2I communications, respectively.

[0020] Using microphone 120, in-vehicle camera 122, gaze processor 130, facial recognition processor 132, and / or NLP system 134, vehicle occupants can access business-related documents on CRM server 103. For example, vehicle occupants can request prompts from CRM server 103 via microphone 120 and NLP system 134 in vehicle 102 to provide complex reports, sales figures, amounts, etc., for display or verbal output. NLP system 134 can be used to interpret potential requests from vehicle occupants by comparing trends and / or applying filters. NLP system 134 can also map parameters corresponding to those intentions (e.g., data field names, data values, etc.) to appropriate system actions, such as creating new visualizations, updating existing charts, etc. This aspect generates visual representations for the user to interpret, providing graphical output that can be supported by voice prompts or voice commands.

[0021] Complementary components such as the in-vehicle camera 112, gaze processor 130, and facial recognition processor 132 can help assess contextual aspects related to the less distracting environment in which a vehicle occupant requests information to provide that information. For example, when faced with ambiguous / unclear inquiries (e.g., inquiries that are unclear or overly complex due to the multiple meanings of similar-sounding words), the accuracy of the information requested by the CRM server 103 can be improved. The supplementary components can improve accuracy and provide continuous contextual dialogue, such as, analogous to face-to-face verbal interactions between humans. For example, the gaze processor 130 can be used to detect the occupant's gaze as a mechanism to further determine what the occupant is requesting, thereby improving the limited vocabulary of speech control. Typically, with the aid of supplementary components such as the in-vehicle camera 112, gaze processor 130, and facial recognition processor 132, the system 100 can be instructed to retrieve data from the diverse but specific database 140 of the CRM server 103. In one example, an occupant can request the CRM server 103 to provide a "sales report" with a pre-defined graphical view of in-vehicle consumption, not only through voice interaction but also with the assistance of supplementary components when necessary.

[0022] The front-facing camera 111 can also be used to capture data from surrounding vehicles 112a to 112b. For example, an occupant in one or more of the surrounding vehicles 112a may be interested in a specific service, such as making a purchase in a house in the area where the surrounding vehicle 112a is traveling. While traveling in the area of ​​interest, the occupant in the surrounding vehicle 112a may generate an encrypted code to be displayed on the rear license plate of the surrounding vehicle 112a. In this case, the license plate may not be a well-known metal-based license plate with identification characters. Instead, a display may be positioned at the rear of the vehicle to display identification characters. The display may also include designated sites for providing a code corresponding to the area of ​​interest of the occupant of vehicle 112a. Such a display may be characterized as a digital license plate. Thus, assuming an occupant is interested in obtaining more information about the housing market in that area, the occupant in the surrounding vehicle 112a may control the surrounding vehicle 112a to generate and display a code (e.g., a QR code or other code) corresponding to soliciting or requesting, for example, but not limited to, housing market analysis of the area of ​​interest, on a segment of the digital license plate.

[0023] A front-facing camera 111 can capture codes displayed on surrounding vehicles 112a. The front-facing camera 111 can then send information corresponding to the codes to vehicle controller 104. Vehicle controller 104 can then decrypt the codes and generate a prompt on a display in the vehicle or directly to the mobile device of the vehicle occupant. This prompt will indicate a request from the occupant of surrounding vehicle 112a for housing market analysis of the area of ​​interest. The occupant in vehicle 102 can then provide the requested information to the occupant in surrounding vehicle 112a. For example, the occupant in vehicle 102 can obtain such information from CRM server 103 and send it back to surrounding vehicle 112a via a V2V interface. It will also be appreciated that the occupant in surrounding vehicle 112a can also generate the aforementioned codes and wirelessly transmit them via V2V to other vehicles on the road or to services connected to surrounding vehicle 112a via a V2I interface (e.g., physical buildings in the area of ​​interest, i.e., real estate bureaus). For the vehicle-to-vehicle example mentioned above, vehicle 102 can wirelessly receive codes from surrounding vehicles 112a and present prompts corresponding to the requested information on its display (or optionally on the occupants' mobile devices). The occupants of vehicle 102 can obtain information about the response to the request from a remote server 103 via the V2X Tx / Rx system 106, and transmit the requested information back to surrounding vehicles 112a via the V2X Tx / Rx system 106.

[0024] Figures 2A to 2E The overall description outlines the various attributes that can be executed by the in-vehicle system according to one implementation scheme.

[0025] Figure 2AA mobile device belonging to a vehicle occupant is depicted, illustrating a personalized aspect, including the display of the occupant's calendar. Optionally, this can be displayed on a monitor in vehicle 102. This information can be stored on a CRM server 103, or optionally retrieved by the in-vehicle system 100 and displayed on the mobile device and / or a monitor positioned on vehicle 102. Alternatively, this information can be input into the mobile device or into a monitor on vehicle 100 for transmission to the CRM server 103. In this case, the occupant in vehicle 100 can be authenticated to the CRM server 103 via facial recognition. Various technological contributing factors to this aspect may involve facial recognition, cloud services, IoT, and / or mobile device applications. Figure 2A The aspects shown may correspond, for example, to adding a 'job' (or Salesforce™) profile during registration.

[0026] Figure 2B This generally corresponds to the correct authentication of users by the in-vehicle system 100. Here, it can be seen that the vehicle 102 provides a welcome message to the authorized user and provides instructions on the display itself regarding the correct facial recognition and authorization of the authorized user via facial recognition. Various technological contributing factors in this regard may involve facial recognition, the implementation of productivity applications on the display of the vehicle 102, cloud services, IoT, and facial recognition. In one example, the vehicle controller 104 performs facial recognition on the vehicle occupants in the vehicle 102 via the facial recognition controller 132, enabling the vehicle occupants to receive business-related information from the CRM server 103 at the vehicle 102 based on a match between the facial recognition of the vehicle occupants and a predetermined facial image of the vehicle occupants (or a previously stored image of the vehicle occupants already authenticated with the CRM server 103).

[0027] Figure 2C The overall display corresponds to, for example, a sales report on the in-vehicle system 100. Assuming the vehicle occupant has predefined various template views, system 100 enables the vehicle occupant to request and retrieve a specific view of the requested report. The in-vehicle system 100 also allows the vehicle occupant to send (or share) reports to themselves (e.g., to another device) or other colleagues via email. Various technological enabling factors in this regard may involve the implementation of productivity applications on the displays of vehicle 102, cloud services, and / or IoT.

[0028] Figure 2DThe overall approach corresponds to providing notifications to vehicle occupants regarding changes to services offered at specific locations (e.g., homes or businesses). For example, using a V2X Tx / Rx system 106, an occupant can relay a request for a changed service to a corresponding colleague near the specific location. Various technological enabling factors in this regard may involve the implementation of productivity applications on displays in vehicle 102, cloud services, IoT, and / or V2X.

[0029] Figure 2E The overall context corresponds to the arrival of vehicle occupants at their destination and to notifications on the vehicle 102's display (or screen) or on the occupants' mobile devices indicating the availability of new potential sales tracking (or updates). Various technological contributing factors in this regard may involve mobile applications on mobile devices, productivity applications on the vehicle 102's display, cloud services, and / or IoT.

[0030] Figure 3 A method 200 according to one embodiment is described for receiving codes from surrounding vehicles and transmitting information corresponding to requests from surrounding vehicles.

[0031] In operation 202, the front-facing camera 108 on vehicle 102 captures an image of a code presented on surrounding vehicles 112a. As noted above, the surrounding vehicles 112a may present or display the code on, for example, an electronic license plate display (or elsewhere on vehicle 112a). The code may correspond to a request for information, such as a request for an answer to an inquiry about a service or commodity of interest to the occupants of surrounding vehicles 112a.

[0032] In operation 204, vehicle 102 processes the captured image of the code. For example, front-facing camera 111 transmits information corresponding to the captured image of the code to vehicle controller 104. Vehicle controller 104 decrypts the information corresponding to the code to determine what type of information is being requested. In one example, vehicle controller 104 may undergo any number of machine learning operations to learn any number of codes that can be captured to decrypt the captured image of the code. In yet another example, the code may correspond to a QR code or other suitable code. In this case, vehicle controller 104 may not need to utilize machine learning to discover the content of the QR code. Vehicle controller 104 may simply use standard code reader technology to decrypt the QR code. Vehicle controller 104 determines the response to the information requested by the code. For example, assuming the code corresponds to a request for a commercial service or product to be sold, vehicle controller 104 may transmit a message to CRM server 103 to obtain information about the service or product to be sold. CRM server 103 may provide the information to vehicle 102 via V2X Tx / Rx system 106.

[0033] In operation 206, vehicle 102 transmits the requested information back to surrounding vehicle 112a via V2X Tx / Rx system 106. The surrounding vehicle 112a may provide the requested information on its display or may wirelessly transmit the information to the mobile device of the vehicle occupant who originally requested the information from the surrounding vehicle 112a.

[0034] It should be understood that the controllers disclosed herein may include various microprocessors, integrated circuits, memory devices (e.g., flash memory, random access memory (RAM), read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or other suitable variations thereof), and software that cooperates with each other to perform the operations disclosed herein. Furthermore, such controllers disclosed herein utilize one or more microprocessors to execute computer programs embodied in a non-transitory computer-readable medium, programmed to perform any number of the disclosed functions. Additionally, the controllers provided herein include a housing and various numbers of microprocessors, integrated circuits, and memory devices (e.g., flash memory, random access memory (RAM), read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM)) located within that housing. The disclosed controllers also include hardware-based inputs and outputs for receiving data from and transferring data to other hardware-based devices as discussed herein.

[0035] Although exemplary embodiments have been described above, these embodiments are not intended to describe all possible forms of the invention. Rather, the terminology used herein is descriptive rather than restrictive, and it should be understood that various changes may be made without departing from the spirit and scope of the invention. Furthermore, features of various implementations may be combined to form other embodiments of the invention.

Claims

1. An in-vehicle system comprising: a transceiver system for positioning in a first vehicle, the transceiver system configured to enable communication with one of surrounding infrastructure and surrounding vehicles of the first vehicle; and a vehicle controller for positioning in the first vehicle, the vehicle controller programmed to: transmit an electronic request to a customer relationship manager (CRM) server via the transceiver system; receive first information from the CRM server corresponding to the electronic request; and transmit the received first information to one of a display in the first vehicle, the surrounding vehicles and the surrounding infrastructure, and a camera positioned on the first vehicle and programmed to capture an image of a code on the surrounding vehicle, the code indicating a request for second information of a desired service or good by a vehicle occupant in the surrounding vehicle, wherein the vehicle controller is further programmed to process the captured image of the code to determine the desired service or good requested by the vehicle occupant in the surrounding vehicle, wherein the vehicle controller is further programmed to determine a facial expression of a vehicle occupant in the first vehicle while viewing the requested second information on a display and determine, using facial recognition in context, that the requested second information presented on the display does not correspond to a desired set of information, wherein the vehicle controller is further programmed to perform facial recognition of a vehicle occupant in the first vehicle to provide a first facial image of the vehicle passenger and transmit the electronic request to the CRM server upon matching the first facial image of the vehicle occupant in the first vehicle to a predetermined facial image of the vehicle occupant.

2. The system of claim 1, wherein the first information corresponds to one of a sales report, a sales lead, a sales contact.

3. The system of claim 1, wherein the transceiver system is one of a vehicle-to- everything (V2X) transceiver system, a WIFI system or a cellular based system.

4. The system of claim 1, wherein the vehicle controller is further programmed to transmit a message to the CRM server via the transceiver system to request the second information from the CRM server.

5. The system of claim 4, wherein the vehicle controller is further programmed to transmit the second information to the surrounding vehicle via the transceiver system such that the surrounding vehicle provides the second information on a display positioned thereon or to a mobile device belonging to the vehicle occupant in the surrounding vehicle.

6. The system of claim 1, wherein the vehicle controller is further programmed to perform facial recognition of a vehicle occupant in the first vehicle and enable the vehicle occupant to receive the first information at the first vehicle based on matching the facial recognition of the vehicle occupant to a predetermined facial image of the vehicle occupant.

7. An in-vehicle communication system comprising: a transceiver system for positioning in a first vehicle, the transceiver system configured to enable communication with one of surrounding infrastructure and surrounding vehicles of the first vehicle; and a vehicle controller for positioning in the first vehicle, the vehicle controller programmed to: transmit an electronic request to a customer relationship manager (CRM) server via the transceiver system; receive first information corresponding to the electronic request; and transmit the received information to one of the surrounding infrastructure of the first vehicle and the surrounding vehicles of the first vehicle; wherein the vehicle controller is further programmed to perform facial recognition on a vehicle occupant in the first vehicle to provide a first facial image of the vehicle passenger and transmit the electronic request to the CRM server upon matching the first facial image of the vehicle occupant in the first vehicle to a predetermined facial image of the vehicle occupant, and a camera positioned on the first vehicle and programmed to capture an image of a code on the surrounding vehicle, the code indicating a request for a second information of a desired service or good by a vehicle occupant in the surrounding vehicle, wherein the vehicle controller is further programmed to determine a facial expression of a vehicle occupant in the first vehicle upon viewing the requested second information on a display and determine, in context, that the requested second information presented on the display does not correspond to a desired set of information utilizing facial recognition, wherein the vehicle controller is further programmed to process the captured image of the code to determine that the vehicle occupant in the surrounding vehicle is requesting the desired service or good, wherein the received first information corresponds to a business-related activity of a vehicle occupant of the first vehicle.

8. The system of claim 7, wherein the business-related activity corresponds to one of a sales report, a sales lead, a sales contact.

9. The system of claim 7, wherein the transceiver system is one of a vehicle-to- everything (V2X) transceiver system, a WIFI system, or a cellular-based system.

10. The system of claim 7, wherein the vehicle controller is further programmed to transmit a message to the CRM server via the transceiver system to request the second information from the CRM server.

11. The system of claim 10, wherein the vehicle controller is further programmed to transmit the second information to the surrounding vehicle via the transceiver system such that the surrounding vehicle provides the second information on a display positioned thereon or to a mobile device belonging to the vehicle occupant in the surrounding vehicle.

12. An in-vehicle method for electronically communicating with a customer relationship manager (CRM) server, the method comprising: communicating with one of surrounding infrastructure and surrounding vehicles of a first vehicle via a transceiver system positioned in the first vehicle; and transmitting an electronic request to the CRM server via the transceiver system; receiving first information corresponding to the electronic request from the CRM server; and transmitting the received first information to one of the surrounding infrastructure of the first vehicle and the surrounding vehicles of the first vehicle, performing facial recognition of a vehicle occupant in the first vehicle to provide a first facial image of the vehicle occupant and transmitting the electronic request to the CRM server upon matching the first facial image of the vehicle occupant in the first vehicle to a predetermined facial image of the vehicle occupant, capturing an image of a code on the surrounding vehicle via a camera, the code indicating a request for a second information of a desired service or good by a vehicle occupant in the surrounding vehicle, wherein the vehicle controller is further programmed to determine a facial expression of the vehicle occupant in the first vehicle upon viewing the requested second information on a display and determine, in context, that the requested second information presented on the display does not correspond to a desired set of information utilizing facial recognition, wherein the method further comprises processing the captured image of the code to determine that the vehicle occupant in the surrounding vehicle is requesting the desired service or good, wherein the received first information corresponds to a commercial related activity of a vehicle occupant of the first vehicle.

13. The method of claim 12, further comprising transmitting a message to the CRM server via the transceiver system to request the second information from the CRM server.

14. The method of claim 13, further comprising transmitting the second information to the surrounding vehicle via the transceiver system such that the surrounding vehicle provides the second information on a display positioned thereon or to a mobile device belonging to the vehicle occupant in the surrounding vehicle.

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