ELECTRONIC COMMERCE-ENABLED LOCAL FLEET CONNECTIVITY SYSTEM AND METHOD
An electronic commerce system includes a work machine and a controller communicably coupled to the work machine and the user device. The controller is configured to generate a graphical user interface on a display, the graphical user interface comprising information related to the work machine and collect operation data from at least one of the work machine or the user device. The controller is further configured to generate a recommendation based on the operation data, provide the recommendation to a user via the graphical user interface, receive a user input interacting with the recommendation, and initiate a transaction implementing the recommendation.
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This application claims the benefit of U.S. Provisional Application No. 63/137,950, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/137,955, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/137,996, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/138,003, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/138,015, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/138,016, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/138,024, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/137,867, filed on Jan. 15, 2021, U.S. Provisional Application No. 63/137,893, filed on Jan. 15, 2021, and U.S. Provisional Application No. 63/137,978, filed on Jan. 15, 2021, all of which are incorporated herein by reference in their entireties.
BACKGROUNDWork equipment such as lifts and telehandlers sometimes require tracking, tasking, monitoring, and servicing at a worksite. Operators and service technicians often receive information regarding products and services related to the work equipment from inefficient systems and methods to.
SUMMARYOne exemplary embodiment relates to an electronic commerce system including a work machine communicably coupled to a controller communicably coupled to the work machine and a user device. The controller is configured to generate a graphical user interface on a display, the graphical user interface comprising information related to the work machine and collect operation data from at least one of the work machine or the user device. The controller is further configured to generate a recommendation based on the operation data, provide the recommendation to a user via the graphical user interface, receive a user input interacting with the recommendation, and initiate a transaction implementing the recommendation.
Another exemplary embodiment relates to a method of providing work-machine related advertising. The method includes providing a first work machine and providing a user device connected to the first work machine via a wireless network. The method further includes generating, with a controller, a graphical user interface on a display, the graphical user interface comprising information related to the first work machine, collecting operation data from at least one of the first work machine or the user device, generating a recommendation for the user based on the operation data, providing the recommendation to the user via the graphical user interface, receiving a user input interacting with the recommendation, and initiating a transaction implementing the recommendation.
Another exemplary embodiment relates to a work machine including a chassis, an implement coupled to the chassis, a prime mover configured to power the implement, a sensor coupled to the chassis and position to monitor the operation of the work machine, and a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium has instructions stored thereon that, upon execution by a processor of a controller cause the processor to generate a graphical user interface on a display, the graphical user interface comprising information related to the work machine, collect operation data from at least one of the work machine or a user device communicably coupled to the work machine, generate a recommendation based on the operation data, provide the recommendation to a user via the graphical user interface, receive a user input interacting with the recommendation, and initiate a transaction implementing the recommendation.
This summary is illustrative only and is not intended to be in any way limiting. Other aspects, inventive features, and advantages of the devices or processes described herein will become apparent in the detailed description set forth herein, taken in conjunction with the accompanying figures, wherein like reference numerals refer to like elements.
Before turning to the figures, which illustrate the exemplary embodiments in detail, it should be understood that the present application is not limited to the details or methodology set forth in the description or illustrated in the figures. It should also be understood that the terminology is for the purpose of description only and should not be regarded as limiting.
According to an exemplary embodiment, a work machine is connected to an electronic commerce (“ecommerce”)-enabled local fleet connectivity system to provide operators and service technicians information regarding work equipment via an efficient worksite system. The ecommerce-enabled local fleet connectivity system provides means to quickly and effectively connect work machines with wireless digital services, for example with devices and applications, to assist a user in identifying a particular machine and the state of the machine thereby saving time, improving efficiency, and reducing costs. According to an exemplary embodiment, the ecommerce-enabled local fleet connectivity system may provide additional wireless digital services to a connected work machine to support commercial functions thereby increasing revenues associated with work equipment. For example, the ecommerce-enabled local fleet connectivity system supports commercial services including advertising, user preference identification, point of sale, third-party messaging, etc. In some embodiments, the digital services provided by the ecommerce-enabled local fleet connectivity system may also be provided by an ecommerce application hosted by and/or run on a work machine or a user device. The ecommerce application may execute and perform some or all of the same processes described herein as they relate to the ecommerce-enabled local fleet connectivity system.
Advertising and other ecommerce functions supported by the ecommerce-enabled local fleet connectivity system may, for example, be based on the specific machine or machines being accessed, a profile or nature of a user accessing the specific machine or machines, the weather or local conditions at a worksite or around the machine or machines, the conditions associated with the machine (e.g., engine hours, fault codes, etc.), the location of the machine, etc. For example, the ecommerce application may monitor the operations of a work machine and/or a worksite and deliver advertisements based on the operations. In some embodiments, the ecommerce-enabled local fleet connectivity system supports a channel or an application to advertise products (e.g., service kits from a work equipment manufacturer) directly to a work machine user with a tab or page of the ecommerce application, a click-through popup within the ecommerce application, a scrolling banner within the application, push notifications etc. In some embodiments, the application may generate one or more of audio, visual, and tactile signals to convey messages associated with commercial services. According to an exemplary embodiment, the ecommerce application is run on a remote user device in communication with the work machine, such that the tailored advertisements are delivered in app on the remote user device. In some embodiments, the ecommerce-enabled local fleet connectivity system application may provide a portal for purchasing products advertised through the system. According to an exemplary embodiment, the ecommerce application is implemented on machines and/or devices within a local fleet connectivity system to make up a ecommerce-enabled local fleet connectivity system. The ecommerce-enabled local fleet connectivity system may be a worksite-based wireless network established by work machines, nodes, connectivity modules, etc. at the worksite.
Referring to the figures generally, various exemplary embodiments disclosed herein relate to systems and methods for an ecommerce-enabled local fleet connectivity system and applications. For example, an ecommerce-enabled local fleet connectivity system includes work machines connected via a local fleet connectivity system and running an ecommerce application.
According to an exemplary embodiment, an ecommerce application is hosted on one or more of a work machine controller and/or a user device which may generate user interfaces for providing the commercial services. In some embodiments, the application may generate one or more of audio, visual, and tactile signals to convey messages associated with commercial services. In some embodiments, the application may be configured to display recommended purchases to the user based on the state or condition of a machine. In some embodiments, the ecommerce application is connected to a local fleet connectivity system to create an ecommerce-enabled local fleet connectivity system. The ecommerce application may display information from other machines connected to the work machine hosting the ecommerce application or parameter associated with a user of the electronic commerce-enabled local fleet connectivity system and/or ecommerce application. In some embodiments, the ecommerce application advertises products and services (e.g., service kits) with/within a tab or page within the application, a click-through popup within the application, a scrolling banner within the application, push notifications etc. The advertised products and services may be original equipment manufacturer (OEM) products and services, or products and services from another and/or multiple providers.
According to an exemplary embodiment, the ecommerce application may determine the advertising provided based on information including the specific machine(s) being accessed, the profile or nature of the person accessing the machine(s), the weather or local conditions around the machine(s), conditions associated with the machine(s) (e.g., engine hours, fault codes, etc.), the location of the machine(s), etc. In some embodiments, the application may provide a portal for point of sale services (e.g. order entry, payment acceptance, order tracking, etc.). The portal may include a user interface.
According to an exemplary embodiment, the ecommerce application may be run in an ecommerce-enabled local fleet connectivity system. which may include a local fleet connectivity system which wirelessly connects one or more machines at a site to provide improved connectivity and productivity. Network connections between work machines and other nodes connected to the local fleet connectivity system may include low energy wireless data networks, mesh networks, short-range wireless networks, satellite communications networks, cellular networks, or other wireless data networks. In some embodiments, a first work machine extends a connection to a second work machine in proximity to the first work machine on a worksite to establish a network link at the worksite. The resulting local fleet connectivity system is a network established among a fleet of work machines at the worksite with the work machines connecting with others nearby to form a mesh network. For example, Bluetooth Low Energy (BLE) Machine to Machine (M2M) communication protocols may be used to expand communication at a worksite via local connectivity between machines at the worksite. In some embodiments, the ecommerce-enabled local fleet connectivity system may automatically identify the equipment connected to the network. The ecommerce-enabled local fleet connectivity system may also group and categorize the equipment, for example based on manufacturer, location, type, etc.
In some embodiments, an ecommerce-enabled local fleet connectivity system may include various work machines of one or more types, interface modules, worksite equipment, communications devices, communications networks, user interface devices, devices hosting ecommerce-enabled local fleet connectivity software, and user interfaces. The ecommerce-enabled local fleet connectivity system users may include equipment users, equipment maintainers, equipment suppliers, worksite/worksite supervisors, remote users, etc. In some embodiments, the information provided to the ecommerce-enabled local fleet connectivity system may be communicated to users via a user interface. In some embodiments, the user interface may include a real-time map showing a current work machine location, the location of work machines in a local fleet connectivity system, the location of an operator of a remote device connected to a local fleet connectivity system, etc. In some embodiments, the user interface includes a color-coded warning indicator, an audible alarm, or another indicator structured to communicate to the machine operator that the work machine is in a location or state that requires the attention of the operator.
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In some embodiments, the controller 44 is configured to monitor and control the operation of the work machine 20. According to an exemplary embodiment, the controller 44 is further configured to connect to a remote wireless network such as a cellular network.
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In some embodiments, the processing circuit 48 may be structured or configured to execute or implement the instructions, commands, and/or control processes described above with respect to control system 60. The control system 60 may be embodied as non-transient machine or computer-readable media that is executable by a processor, such as processor 52. As described herein, and amongst other uses, the machine-readable media facilitates the performance of certain operations to enable reception, storage, and transmission of data. For example, the machine-readable media may provide an instruction (e.g., command, etc.) to acquire data such as service, operator, and parts manuals associated with the work machine 20. In this regard, the machine-readable media may include programmable logic that defines the frequency of acquisition of the data (or, transmission of the data). According to an exemplary embodiment, the computer readable media includes code, which may be written in any programming language including, but not limited to, Java or the like and any conventional procedural programming languages, such as the “C” programming language or similar programming languages. In some embodiments, the computer readable program code may be executed on one processor or multiple remote processors. In the latter scenario, the remote processors may be connected to each other through any type of network (e.g., CAN bus, etc.).
According to another exemplary embodiment, the control system 60 is embodied as one or more hardware units such as those described above with reference to the controller 44 itself. The control system 60 may be embodied as one or more circuitry components including, but not limited to, processing circuitry, network interfaces, peripheral devices, input devices, output devices, sensors, etc. In some embodiments, the control system 60 may take the form of one or more analog circuits, electronic circuits (e.g., integrated circuits (IC), discrete circuits, system on a chip (SOCs) circuits, microcontrollers, etc.), telecommunication circuits, hybrid circuits, and any other type of “circuit.” In this regard, the control system 60 may include any type of component for accomplishing or facilitating achievement of the operations described herein. For example, a circuit as described herein may include one or more transistors, logic gates (e.g., NAND, AND, NOR, OR, XOR, NOT, XNOR, etc.), resistors, multiplexers, registers, capacitors, inductors, diodes, wiring, and so on). The control system 60 may also include programmable hardware devices such as FPGAs, programmable array logic, programmable logic devices or the like. According to an exemplary embodiment, the control system 60 may include one or more memory devices for storing instructions that are executable by one or more of the processor(s) of the control system 60 and/or processor 52. The one or more memory devices and processor(s) may have the same definition as provided below with respect to the memory device 56 and processor 52. In some hardware unit configurations, the control system 60 may be physically dispersed throughout separate locations in the machine. Alternatively, and as shown, the control system 60 may be embodied in or within a single unit/housing, which is shown as the controller 44.
In some embodiments, the control system 60 generates a range of inputs, outputs, and user interfaces. The inputs, outputs, and user interfaces may be related to a worksite, a status of a piece of equipment, environmental conditions, equipment telematics, an equipment location, task instructions, sensor data, equipment consumables data (e.g. a fuel level, a condition of a battery), status, location, or sensor data from another connected piece of equipment, communications link availability and status, hazard information, positions of objects relative to a piece of equipment, device configuration data, part tracking data, text and graphic messages, weather alerts, equipment operation, maintenance, and service data, equipment beacon commands, tracking data, performance data, cost data, operating and idle time data, remote operation commands, reprogramming and reconfiguration data and commands, self-test commands and data, software as a service data and commands, advertising information, access control commands and data, onboard literature, machine software revision data, fleet management commands and data, logistics data, equipment inspection data including inspection of another piece of equipment using onboard sensors, prioritization of communication link use, predictive maintenance data, tagged consumable data, remote fault detection data, machine synchronization commands and data including cooperative operation of machines, equipment data bus information, operator notification data, work machine twinning displays, commands, and data, etc.
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According to an exemplary embodiment, hardware and data processing components that make up the processing circuit 48 and which are used to implement the various processes, operations, illustrative logics, logical blocks, modules and circuits described in connection with the embodiments disclosed herein (e.g., the processor 52) may be implemented or performed with a general purpose single- or multi-chip processor, a DSP, an ASIC, an FPGA, or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, or, any conventional processor, or state machine. According to an exemplary embodiment, the processor 52 may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. In some embodiments, the one or more processors that make up the processor 52 may be shared by multiple circuits (e.g., control system 60 may comprise or otherwise share the same processor which, in some example embodiments, may execute instructions stored, or otherwise accessed, via different areas of memory). Alternatively or additionally, the one or more processors may be structured to perform or otherwise execute certain operations independent of one or more co-processors. In other embodiments, two or more processors may be coupled via a bus to enable independent, parallel, pipelined, or multi-threaded instruction execution. All such variations are intended to fall within the scope of the present disclosure.
The memory device 56 (e.g., memory, memory unit, storage device) may include one or more devices (e.g., RAM, ROM, Flash memory, hard disk storage) for storing data and/or computer code for completing or facilitating the various processes, layers and modules described in the present disclosure. The memory 56 may be any tangible, non-transient, volatile or non-volatile computer-readable storage medium capable of storing data or computer code relating to the activities described herein. For example, the memory device 56 may include database components, object code components, script components, or any other type of information structure for supporting the various activities and information structures described herein. According to the exemplary embodiment shown in
According to an exemplary embodiment, the memory device 56 stores instructions for execution by the processor 52 for a process to automatically generate a worksite equipment grouping. The process to automatically generate a worksite equipment grouping automatically associates machines 20 connected on a near network to one or more other machines 20. In some embodiments, the automatic associations are based on rule stored on a work machine or on another network node. In some embodiments, the association rules are based on one or more of a worksite designation, a location of a machine, or a code (e.g. a customer key, a manufacturer key, or a maintainer key).
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The work machine 202 communicably connects to the ecommerce-enabled local fleet connectivity system 200 via a machine-to-X (M2X) module 290. The M2X module 290 is communicably connected to the control module 206. In some embodiments, the M2X module 290 is an independent module. In other embodiments, the M2X module 290 and the control module 206 are embodied in the same module. According to an the exemplary embodiment shown in
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According to an exemplary embodiment, the ecommerce-enabled local fleet connectivity system 200 allows for the coordination of multiple work machines 202 and third-party products 212, 214 within the same worksite and/or a fleet-wide control across multiple worksites. For example, work machine 202 and third-party products 212, 214 may coordinate to perform self-inspections at the same time and remotely report the results of a self-inspection to a user via a user device including user interface 272.
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In some embodiments, the ecommerce-enabled local fleet connectivity system 300 may provide digital commercial services to an owner, user, operator, etc. of the work machine 324. For example, the local fleet connectivity system may include one or more ecommerce applications hosted on one or more processors. The host processors may comprise a control system 322, an M2X module controller, and a user device controller. In some embodiments, commercial services supported by the ecommerce-enabled local fleet connectivity system 300 may comprise advertising, user preference identification, point of sale, third-party messaging, etc. In some embodiments, an application hosted on one or more of a machine controller and a user device may generate user interfaces for commercial services. In some embodiments, the application may generate one or more of audio, visual, and tactile signals to convey messages associated with commercial services. In some embodiments, the application may be configured to display recommended purchases to the user based on the state or condition of the machine connected to the electronic commerce-enabled local fleet connectivity system or a parameter associated with a user of the electronic commerce-enabled local fleet connectivity system. In some embodiments, the application may provide point of sale services (e.g., order entry, payment acceptance, order tracking, etc.).
In some embodiments, ecommerce functions are accessed through a tab or page within the application, a click-through popup within the application, a scrolling banner within the application. a push notification, etc. In some embodiments, the ecommerce functions provided through the ecommerce-enabled local fleet connectivity system 300 may be managed by an ecommerce application hosted on a controller installed in a machine 304, 324 or a user device 308. Ecommerce functions provided through the ecommerce-enabled local fleet connectivity system may comprise, for example, original equipment manufacturer advertising (e.g., service kits, equipment consumables, replacement parts based on a status or condition of a machine). In some embodiments, ecommerce messages are transmitted via the electronic commerce-enabled local fleet connectivity system. Ecommerce messages may comprise, for example, messages based on a specific machine or machines being accessed, a profile or a nature of a person accessing the specific machine or machines, weather or local conditions around the machine or machines, conditions or states associated with the machine (e.g., engine hours, fault codes, etc.), location of the machine, location of the worksite, proximity of a vendor to a worksite, etc. In some embodiments, the application is a point of sale portal for purchasing items or services identified in electronic commerce messages. For example, an original equipment manufacturer (OEM) may determine a work machine component requires replacement based on the condition of the component as detected by a sensor on the work machine and reported to the OEM via the electronic commerce-enabled local fleet connectivity system. The OEM may locate the nearest replacement part, determine a price and delivery time for the part and generate a push message to a user on a user device at a worksite identifying the need to replace the component, the price and arrival time for the replacement component, a purchase incentive for ordering the component through the application, process the order through the user device, and provide post sale services (e.g., delivery status, installation instructions, warranty support) through the application.
In some embodiments, the ecommerce functions supported through the applications may include third party advertising and point of sale. For example, the electronic commerce application may provide notifications to equipment users from a restaurant or other entity in proximity to a worksite based on one or more parameters collected by the application. Parameters collected by the application may include for example, a number of users present at a worksite, a time of day, a purchase incentive from a vendor, user preferences, etc. The application may, for example, capture a record of sales conversions in response to application ecommerce messaging as a basis for revenue calculation for a sales channel supported by the electronic commerce functions enabled by the ecommerce-enabled local fleet connectivity system 300.
The ecommerce-enabled local fleet connectivity system 300 allows for the coordination of multiple machines 304, 324 within the same worksite, or a fleet wide control. For example, if a first work machine 324 is required to accomplish a task collaboratively with a second work machine 304, a user interacting with a user device 308 may provide commands to the first work machine 324 and second work machine 304 to execute the task in collaboration.
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In some embodiments, connectivity hub has a connectively module to (a) provides the functionalities described here in place of or in addition to a machine that has a connectivity module, (b) broadcasts a site identifier, or (c) connects to an external internet to flow through data to and from the jobsite that is provided across the mesh.
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According to an exemplary embodiment, the platform assembly is a structure that is particularly configured to support one or more workers. In some embodiments, the platform assembly includes an accessory or tool configured for use by a worker. Such tools may include pneumatic tools (e.g., impact wrench, airbrush, nail gun, ratchet, etc.), plasma cutters, welders, spotlights, etc. In some embodiments, the platform assembly includes a control panel to control operation of the work machines 20 (e.g., the turntable, the boom, etc.) from the platform assembly. In other embodiments, the platform assembly includes or is replaced with an accessory and/or tool (e.g., forklift forks, etc.).
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At step 1210, the generated advertisement, including for example products and services (e.g., OEM service kits) are presented to a user on a user device with, for example, a tab or page within an application, a click-through popup within the application, a scrolling banner within the application, push notifications, etc. In some embodiments, the advertisements are displayed to a user of the work machine directly on the work machine via an integrated display. In other embodiments, the advertisements are displayed to a user via a display on a user device (e.g., smartphone, tablet, laptop, etc.). For example, a site manager with a user device running an ecommerce enabled application for interfacing with a local fleet connectivity system may also display the advertising in the application.
At step 1212, the ecommerce application may also collect user/advertising interaction data via the application. For example, an owner of the work machines may collect user interaction data including statistics regarding the viewing, dismissing, or interaction with an advertisement. The owner may use the statistics to determine how effective the in-app advertising may be. For example, the owner may determine that predictive maintenance advertisements are more effective than predictive third-party advertisements.
At step 1214, the ecommerce application may, based on the user interaction, process an electronic transaction through the application. In some embodiments, the ecommerce application run in the ecommerce-enabled local fleet connectivity system may include a point of sale portal. The point of sale portal can allow a user interacting with an advertisement the purchase the recommended product or service directly through the app. In some embodiments, the ecommerce application may offer an associated discount for purchases made through the in-app portal.
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At step 1306 the ecommerce application collects operation data indicating a component requires replacement. In some embodiments, the operation data may include a component age, component time in use, a component fault indicator, a maintenance request, and other information that may be used to determine a component may require a replacement.
At step 1308 the ecommerce application may automatically locate the nearest replacement component. In some embodiments, the ecommerce application connects to a remote server to determine the location of the nearest component. In some embodiments, the location of the nearest component is offered by a third-party service. At step 1310, the ecommerce application may generate a quote and delivery estimate for the replacement part. The quote and delivery estimate may include price recommendation based on the location of the replacement part, the original component requiring replacement, user information, etc.
At step 1312, the ecommerce application may provide the quote and delivery estimated to the user via an in-app notification, for example, a tab or page within an application, a click-through popup within the application, a scrolling banner within the application, push notifications, etc. In some embodiments, the notification is integrated into the graphical user interface of the application. In some embodiments, the notification is accompanied with an alert such as a light, sound, or vibration. The notification may be provided to user via the local fleet connectivity system.
As utilized herein, the terms “approximately,” “about,” “substantially”, and similar terms are intended to have a broad meaning in harmony with the common and accepted usage by those of ordinary skill in the art to which the subject matter of this disclosure pertains. It should be understood by those of skill in the art who review this disclosure that these terms are intended to allow a description of certain features described and claimed without restricting the scope of these features to the precise numerical ranges provided. Accordingly, these terms should be interpreted as indicating that insubstantial or inconsequential modifications or alterations of the subject matter described and claimed are considered to be within the scope of the disclosure as recited in the appended claims.
It should be noted that the term “exemplary” and variations thereof, as used herein to describe various embodiments, are intended to indicate that such embodiments are possible examples, representations, or illustrations of possible embodiments (and such terms are not intended to connote that such embodiments are necessarily extraordinary or superlative examples).
The term “coupled” and variations thereof, as used herein, means the joining of two members directly or indirectly to one another. Such joining may be stationary (e.g., permanent or fixed) or moveable (e.g., removable or releasable). Such joining may be achieved with the two members coupled directly to each other, with the two members coupled to each other using one or more separate intervening members, or with the two members coupled to each other using an intervening member that is integrally formed as a single unitary body with one of the two members. If “coupled” or variations thereof are modified by an additional term (e.g., directly coupled), the generic definition of “coupled” provided above is modified by the plain language meaning of the additional term (e.g., “directly coupled” means the joining of two members without any separate intervening member), resulting in a narrower definition than the generic definition of “coupled” provided above. Such coupling may be mechanical, electrical, or fluidic. For example, circuit A communicably “coupled” to circuit B may signify that the circuit A communicates directly with circuit B (i.e., no intermediary) or communicates indirectly with circuit B (e.g., through one or more intermediaries).
While various circuits with particular functionality are shown in
As mentioned above and in one configuration, the “circuits” of the control system 60 may be implemented in machine-readable medium for execution by various types of processors, such as the processor 52 of
While the term “processor” is briefly defined above, the term “processor” and “processing circuit” are meant to be broadly interpreted. In this regard and as mentioned above, the “processor” may be implemented as one or more general-purpose processors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), digital signal processors (DSPs), or other suitable electronic data processing components structured to execute instructions provided by memory. The one or more processors may take the form of a single core processor, multi-core processor (e.g., a dual core processor, triple core processor, quad core processor, etc.), microprocessor, etc. In some embodiments, the one or more processors may be external to the apparatus, for example the one or more processors may be a remote processor (e.g., a cloud based processor). Alternatively or additionally, the one or more processors may be internal and/or local to the apparatus. In this regard, a given circuit or components thereof may be disposed locally (e.g., as part of a local server, a local computing system, etc.) or remotely (e.g., as part of a remote server such as a cloud based server). To that end, a “circuit” as described herein may include components that are distributed across one or more locations.
Embodiments within the scope of the present disclosure include program products comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable media can be any available media that can be accessed by a general purpose or special purpose computer or other machine with a processor. By way of example, such machine-readable media can comprise RAM, ROM, EPROM, EEPROM, or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code in the form of machine-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer or other machine with a processor. Combinations of the above are also included within the scope of machine-readable media. Machine-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing machines to perform a certain function or group of functions.
Although the figures and description may illustrate a specific order of method steps, the order of such steps may differ from what is depicted and described, unless specified differently above. Also, two or more steps may be performed concurrently or with partial concurrence, unless specified differently above. Such variation may depend, for example, on the software and hardware systems chosen and on designer choice. All such variations are within the scope of the disclosure. Likewise, software implementations of the described methods could be accomplished with standard programming techniques with rule-based logic and other logic to accomplish the various connection steps, processing steps, comparison steps, and decision steps.
Although this description may discuss a specific order of method steps, the order of the steps may differ from what is outlined. Also, two or more steps may be performed concurrently or with partial concurrence. Such variation will depend on the software and hardware systems chosen and on designer choice. All such variations are within the scope of the disclosure. Likewise, software implementations could be accomplished with standard programming techniques with rule-based logic and other logic to accomplish the various connection steps, processing steps, comparison steps, and decision steps.
References herein to the positions of elements (e.g., “top,” “bottom,” “above,” “below,” “between,” etc.) are merely used to describe the orientation of various elements in the figures. It should be noted that the orientation of various elements may differ according to other exemplary embodiments, and that such variations are intended to be encompassed by the present disclosure.
It is important to note that the construction and arrangement of the load map interface systems and methods as shown in the various exemplary embodiments is illustrative only. Additionally, any element disclosed in one embodiment may be incorporated or utilized with any other embodiment disclosed herein. For example, the warning zones of the exemplary embodiment may be eliminated or additional zones may be added. Although only one example of an element from one embodiment that can be incorporated or utilized in another embodiment has been described above, it should be appreciated that other elements of the various embodiments may be incorporated or utilized with any of the other embodiments disclosed herein.
Although only a few embodiments of the present disclosure have been described in detail, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters, mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited. For example, elements shown as integrally formed may be constructed of multiple parts or elements. It should be noted that the elements and/or assemblies of the components described herein may be constructed from any of a wide variety of materials that provide sufficient strength or durability, in any of a wide variety of colors, textures, and combinations. Accordingly, all such modifications are intended to be included within the scope of the present inventions. Other substitutions, modifications, changes, and omissions may be made in the design, operating conditions, and arrangement of the preferred and other exemplary embodiments without departing from scope of the present disclosure or from the spirit of the appended claims.
Claims
1. An electronic commerce system, comprising:
- a work machine;
- a controller communicably coupled to the work machine and communicably coupled to a user device, the controller configured to: generate a graphical user interface on a display, the graphical user interface comprising information related to the work machine; collect operation data from at least one of the work machine or the user device; generate a recommendation based on the operation data; provide the recommendation to a user via the graphical user interface; receive a user input interacting with the recommendation; and initiate a transaction implementing the recommendation.
2. The electronic commerce system of claim 1, further comprising a second work machine connected to the work machine via a wireless network, wherein the wireless network is a local mesh network hosted by the work machine and the second work machine.
3. The electronic commerce system of claim 2, wherein the local mesh network is a Bluetooth Low Energy (BLE) mesh network.
4. The electronic commerce system of claim 1, the work machine further comprising a sensor configured to obtain operation data related to the work machine.
5. The electronic commerce system of claim 1, wherein the operation data comprises at least one of a work machine state, a work machine load, a user profile, worksite environmental conditions, the time of day, or the location of the work machine.
6. The electronic commerce system of claim 1, wherein the recommendation comprises a recommended purchase for the user.
7. The electronic commerce system of claim 1, wherein the recommendation comprises original equipment manufacturer advertising.
8. The electronic commerce system of claim 1, wherein the operation data includes a location of the work machine, and an indication that a first component of the work machine requires replacement, the controller further configured to:
- locate a nearest replacement component via a query to a remote server connected to the controller via the wireless network;
- generate a quote and an estimated delivery time using the location of the work machine; and
- provide, via the graphical user interface, the recommendation, wherein the recommendation includes the location of the nearest replacement component, the quote, and the estimated delivery time to the user via the graphical user interface.
9. The electronic commerce system of claim 1, wherein the recommendation comprises an advertisement from a third-party based on the operation data.
10. The electronic commerce system of claim 1, wherein the operation data comprises a user profile, the controller further configured to:
- retrieve the user's billing information based on the user profile; and
- initiate the transaction implementing the recommendation according to the user's billing information.
11. The electronic commerce system of claim 1, wherein the controller is further configured to:
- collect operation data from at least one of the work machine or the user device;
- determine, from the operation data, that the work machine requires servicing; and
- generate the recommendation, wherein the recommendation comprises a suggested service location and a suggested service time.
12. The electronic commerce system of claim 1, wherein the user device is wirelessly connected to the work machine, and the user device comprises the controller and the display.
13. The electronic commerce system of claim 1, wherein the controller is integrally coupled to the work machine.
14. A method of providing work machine-related advertising, the method comprising;
- providing a first work machine;
- providing a user device connected to the first work machine via a wireless network;
- generating, with a controller, a graphical user interface on a display, the graphical user interface comprising information related to the first work machine;
- collecting operation data from at least one of the first work machine and the user device;
- generating a recommendation for the user based on the operation data;
- providing the recommendation to the user via the graphical user interface;
- receiving a user input interacting with the recommendation; and
- initiating a transaction implementing the recommendation.
15. The method of claim 14, wherein the wireless network is a local Bluetooth Low Energy (BLE) mesh network.
16. The method of claim 14, wherein the first work machine comprises a sensor configured to obtain operation data related to the first work machine.
17. The method of claim 14, wherein the operation data comprises at least one of a work machine state, a work machine load, a user profile, worksite environmental conditions, the time of day, or the location of the work machine.
18. The method of claim 14, further comprising:
- a second work machine connected to the first work machine via a local wireless network, wherein the local wireless network is a mesh network established by the first work machine and the second work machine.
19. The method of claim 14, wherein the operation data includes a location of the first work machine, and an indication that a first component of the first work machine requires replacement, the method further comprising the steps of:
- locating a replacement component via a query to a remote server connected to the controller via the wireless network;
- generating a quote and an estimated delivery time using the location of the work machine and the location of the replacement component; and
- providing, via the graphical user interface, the recommendation, wherein the recommendation includes the location of the nearest replacement component, the quote, and the estimated delivery time to the user via the graphical user interface.
20. A work machine comprising;
- a chassis;
- an implement coupled to the chassis;
- a prime mover configured to power the implement;
- a sensor coupled to the chassis and position to monitor the operation of the work machine; and
- a non-transitory computer-readable storage medium having instructions stored thereon that, upon execution by a processor of a controller cause the processor to: generate a graphical user interface on a display, the graphical user interface comprising information related to the work machine; collect operation data from at least one of the work machine or a user device communicably coupled to the work machine; generate a recommendation based on the operation data; provide the recommendation to a user via the graphical user interface; receive a user input interacting with the recommendation; and initiate a transaction implementing the recommendation.
Type: Application
Filed: Jan 14, 2022
Publication Date: Jul 21, 2022
Applicant: Oshkosh Corporation (Oshkosh, WI)
Inventors: Korry D. Kobel (Oshkosh, WI), Fredric L. Yutzy (Oshkosh, WI), Stefan Eshleman (Oshkosh, WI)
Application Number: 17/576,831