Patent Application
20200151800
The present disclosure is generally related to an online ordering system through a vehicle. More specifically, the present disclosure is related to a vehicle system configured to place an online order at a predetermined time frame.
Online ordering systems for food and other goods have been widely used by various consumers. For instance, a customer may place an online order for an item, such as a sandwich, ice tea or the like before leaving home in the morning and pick up the item on the route to work. However, there is usually a gap between the time to travel to the target restaurant and the time for the restaurant to prepare the food. If the restaurant starts to prepare the food too early right after receiving the online order, by the time the customer arrives, the food may have been sitting there for a long time and no longer fresh.
In one or more illustrative embodiment of the present disclosure, a vehicle includes a controller, programmed to responsive to user input to pick up an item at a shop, calculate an estimated time of arrival (ETA) to the shop and a predicted preparation time for the item by the shop; and responsive to a current time being within a grace period to the preparation time before the ETA, place an order for the item.
In one or more illustrative embodiment of the present disclosure, a method for a vehicle includes responsive to user input to pick up an item at a shop, calculating an estimated time of arrival (ETA) to the shop and a predicted preparation time for the item by the shop including a waiting time and a processing time for the item; and responsive to a current time being within a predefined grace period to the preparation time before the ETA, ordering the item online.
In one or more illustrative embodiment of the present disclosure, a non-transitory computer-readable medium includes instructions that, when executed by a processor of a vehicle, cause the vehicle to responsive to user input to pick up an item at a shop, calculate an estimated time of arrival (ETA) to the shop and a predicted preparation time for the item by the shop including a waiting time and a processing time for the item; and responsive to a current time being within a predefined grace period to the preparation time before the ETA, place an order for the item online, wherein the waiting time is based on a shop popularity information received from a server.
For a better understanding of the invention and to show how it may be performed, embodiments thereof will now be described, by way of non-limiting example only, with reference to the accompanying drawings, in which:
As required, detailed embodiments of the present invention are disclosed herein; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimized to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.
The present disclosure generally provides for a plurality of circuits or other electrical devices. All references to the circuits and other electrical devices, and the functionality provided by each, are not intended to be limited to encompassing only what is illustrated and described herein. While particular labels may be assigned to the various circuits or other electrical devices, such circuits and other electrical devices may be combined with each other and/or separated in any manner based on the particular type of electrical implementation that is desired. It is recognized that any circuit or other electrical device disclosed herein may include any number of microprocessors, integrated circuits, memory devices (e.g., FLASH, random access memory (RAM), read only memory (ROM), electrically programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), or other suitable variants thereof) and software which co-act with one another to perform operation(s) disclosed herein. In addition, any one or more of the electric devices may be configured to execute a computer-program that is embodied in a non-transitory computer readable medium that is programmed to perform any number of the functions as disclosed.
The present disclosure, among other things, proposes an online ordering system for a vehicle. More specifically, the present disclosure proposes a vehicle system configured to allow a user to place and hold an order for goods and send the order out at a predefined time calculated by various factors.
Referring to
As illustrated in
The computing platform 104 may be provided with various features allowing the vehicle occupants/users to interface with the computing platform 104. For example, the computing platform 104 may receive input from human-machine interface (HMI) controls 118 configured to provide for occupant interaction with the vehicle 102. As an example, the computing platform 104 may interface with one or more buttons (not shown) or other HMI controls configured to invoke functions on the computing platform 104 (e.g., steering wheel audio buttons, a push-to-talk button, instrument panel controls, etc.).
The computing platform 104 may also drive or otherwise communicate with one or more displays 116 configured to provide visual output to vehicle occupants by way of a video controller 114. In some cases, the display 116 may be a touch screen further configured to receive user touch input via the video controller 114, while in other cases the display 116 may be a display only, without touch input capabilities. The computing platform 104 may also drive or otherwise communicate with one or more speakers 122 configured to provide audio output to vehicle occupants by way of an audio controller 120.
The computing platform 104 may also be provided with navigation and route planning features through a navigation controller 126 configured to calculate navigation routes responsive to user input via e.g., the HMI controls 118, and output planned routes and instructions via the speaker 122 and the display 116. Location data that is needed for navigation may be collected from a global navigation satellite system (GNSS) controller 124 configured to communicate with multiple satellites and calculate the location of the vehicle 102. The GNSS controller may be configured to support various current and/or future global or regional location systems such as global positioning system (GPS), Galileo, Beidou, Global Navigation Satellite System (GLONASS) and the like. Map data used for route planning may be stored in the storage 106 as a part of the vehicle data 110. Navigation software may be stored in the storage 116 as a part of the vehicle applications 108.
The computing platform 104 may be configured to wirelessly communicate with a mobile device 140 of the vehicle users/occupants via a wireless connection 190. The mobile device 140 may be any of various types of portable computing device, such as cellular phones, tablet computers, wearable devices, smart watches, laptop computers, portable music players, or other device capable of communication with the computing platform 104. The wireless transceiver 132 may be in communication with a WiFi controller 128, a Bluetooth controller 130, a radio-frequency identification (RFID) controller 134, a near-field communication (NFC) controller 136, and other controllers such as a Zigbee transceiver, an IrDA transceiver (not shown), and configured to communicate with a compatible wireless transceiver 152 of the mobile device 140.
The mobile device 140 may be provided with a processor 148 configured to perform instructions, commands, and other routines in support of the processes such as navigation, telephone, wireless communication, and multi-media processing. For instance, the mobile device 140 may be provided with location and navigation functions via a navigation controller 158 and a GNSS controller 156. The mobile device 140 may be provided with a wireless transceiver 152 in communication with a WiFi controller 150, a Bluetooth controller 154, a RFID controller 160, a NFC controller 162, and other controllers (not shown), configured to communicate with the wireless transceiver 132 of the computing platform 104.
The computing platform 104 may be further configured to communicate with a telematics control unit (TCU) 174 via one or more in-vehicle network 170. The in-vehicle network 170 may include, but is not limited to, one or more of a controller area network (CAN), an Ethernet network, and a media-oriented system transport (MOST), as some examples. The TCU 174 may be configured to control telecommunication between vehicle 102 and a communication network 188 through a wireless connection 192 using a modem 172. The communication network 188 may be any type of wireless network such as a cellular network enabling the communication between a remote server 186 and the computing platform 104. It is noted that, the remote server 186 is used as a general term throughout the present disclosure and may refer to any cloud-based services involving multiple servers, computers, devices and the like.
Referring to
As illustrated in
The ETT 204 may be calculated via the navigation controller 126 using location data from the GNSS controller 124 and the address information of the shop 202. A route from the current location of the vehicle 102 and the shop 202 may be calculated by the navigation controller 126. As the vehicle 102 traverses the route and gets closer to the shop 202, the navigation controller 126 may constantly recalculate/update the ETT 204 as well as the ETA 222 to obtain a more accurate result. For instance, the process may start with the user placing the order via the HMI controls 118. Responsive to receiving the pre-order that the user placed to the vehicle platform 104 indicative of a pick-up location i.e. shop 202, the navigation controller 126 may automatically calculate a route from the current location of the vehicle 102 to the shop 202. The ETT 204 and the ETA 222 may be obtained based on the route and various factors along the route such as traffic conditions. The route calculated via the navigation controller 126 may be based on various factors such as predefined route planning rules (e.g. no unpaved road, avoid highway, or etc.), historic routes and preferences for the same user, traffic conditions or the like. The navigation controller 126 may be further configured to dynamically adjust the route and recalculate the ETT 204 and the ETA 222 responsive to detecting a change of situation such as a user-initiated route change or traffic conditions. The computing platform 104 may be configured to present the route to the vehicle user via the display 116 and/or the speaker 122. Alternatively, depending on the preference of the user, the computing platform 104 may not present the route to the user while actively monitoring the route, the ETT 204 and the ETA 222.
As the vehicle 102 traverses the route and the ETT 204 approaches the preparation time 206, the computing platform 104 may be configured to send the order out to the shop 202 via the TCU 174 within a grace period 208 immediately before the ETT 204 reaches the preparation time 206. As an example, the grace period 208 may be a predefined fixed period of time (e.g. 5 minutes). Before submitting the order online to the shop 202, the computing platform 104 may prompt a message via the HMI controls 118 to ask for a final confirmation from the user to place the order. The user may confirm or cancel the order. Additionally, the user may be further given options to modify or delay the order. Responsive to receiving a confirmation from the user, the computing platform 104 may send the order to the server 186 associated with the shop 202 via the TCU 174. The computing platform 104 may further send the EAT 222 to the server 186 as a reference to the shop 202.
Referring to
Responsive to receiving the pre-order, at operation 304, the computing platform 104 obtains the current and/or predicted shop status 210 including the waiting time 214 from the server 186 via the TCU 174. Having obtained the waiting time 214 and the processing time 216, the computing platform 104 may calculate the preparation time 206. For instance, the preparation time 206 may be calculated by summing the waiting time 214 and the processing time 216 together. At operation 306, the computing platform 104 calculates a route from the current location of the vehicle 102 received from the GNSS controller 124 to the shop address, and obtains the ETA 222 as well as the ETT 204 taking into account various available factors such as live traffic received from the server 186.
At operation 308, the computing platform 104 checks whether the ETT 204 has reached the grace period from the preparation time 206 before the ETA 222. The grace period 208 may be a fix period of time such as 5 minutes. Alternatively, the computing platform 104 may use a flexible grace period 208 depending on various factors including the traffic, the popularity of the shop, the perishable nature of the goods ordered or the like as a few non-limiting examples. If the answer for operation 308 is a no, the process repeats operations 304 and 306, and the computing platform 104 continues to monitor the status 210 of the shop 202 and update the ETA 222 and ETT 204. The computing platform 104 may be configured to periodically check the ETT 204 against the preparation time 206 at one or more predefined intervals. The computing platform may check the ETT 204 against the preparation time 206 in a less frequent manner at the beginning, and increase the checking frequency as the gap between the ETT 204 and the preparation time 206 reduces. For instance, at the beginning of the trip, the ETT 204 (e.g. 30 minutes) may be greater than five times the preparation time 206 (e.g. 5 minutes). In this case, the computing platform 104 may be configured to check the ETT 204 against the preparation time 206 every two times the preparation time 206, i.e. every 10 minutes. As the vehicle 102 traverses the route and the ETT 204 reduces to within five times the preparation time 206 but greater than two times the preparation time 206, the computing platform 104 may be configured to increase the checking frequency to one half the preparation time 206, i.e. every 2.5 minutes, until the ETT 204 reaches within the grace period 208 to the preparation time 206. If the computing platform 104 detects the ETT 204 has reached the predefined grace period 208 at operation 308, the process proceeds to operation 310 and the computing platform 104 asks for a confirmation before placing the order for the items online via the TCU 174. A pop-up message may be displayed on the display 116 to ask the user for confirmation.
Responsive to receiving a user input confirming the order, e.g. via the HMI controls 118, the process proceeds to operation 314 and the computing platform 104 loads the pre-order temporarily stored in the storage 106 and sends the pre-order out to the server 186 via the TCU 174 to place the order. Additionally, the computing platform 104 sends the ETA 222 to the server 186 along with the order placed. If the computing platform 104 detects the user fails to confirm and intents to do something else, the process proceeds to operation 316 and the computing platform 104 asks if the user would like to cancel the order. Responsive to a user input confirming to cancel the order, the process proceeds to operation 318 and the computing platform 104 deletes the pre-order from the storage 106. Otherwise, at operation 320, an option may be provided to the user via the HMI controls 118 to allow the user to modify the order based on the pre-order stored in the storage 106 (e.g. change goods, schedule a different pickup time or the like). Responsive to receiving a modified order from the user, the process proceeds from operation 320 to operation 314 to place the modified order online.
After the order has been placed to the server 186, the computing platform 104 continues to monitor the route and ETA 222 via the navigation controller 126. At operation 322, if the computing platform 104 detects a significant deviation on ETA 222, the process proceeds to operation 324 to notify the shop 202 about the updated ETA 222. For instance, a significant deviation on ETA may be defined as a difference between the original ETA 222 when the order was placed and an updated ETA 222 being greater than a predefined threshold (e.g. 3 minutes or so). In reality, the deviation may be caused by various factors including change of traffic conditions (e.g. an accident), change of the route (e.g. the user takes a wrong turn) or the like. The computing platform 104 may be further configured to receive an order status from the server 186 indicative of confirmation of receipt of the order and/or an expected time when the order will be ready for pickup to keep the vehicle user informed. At operation 326, the computing platform 104 detects if the order has been picked up by the user. This operation may be performed automatically by detecting the vehicle 102 has stopped at the shop location for longer than a predefined period of time (e.g. 30 seconds). Additionally or alternatively, the computing platform 104 may be configured to receive a manual input from the user via the HMI controls 118 or a feedback signal from the shop 202 via the server 186 through the TCU 174 indicative of the pickup has been completed. If at operation 326, the computing platform 104 detects the pickup has not been completed yet, the process returns to operation 322 to continue to monitor the ETA 222. Responsive to detecting a successful pickup, at operation 328, the computing platform 104 saves the order information and the route traversed by the vehicle 102 for future reference. The computing platform 104 may be further configured to ask for a user feedback on the likelihood of a next trip being the one associated with the present online order, e.g. by asking the user to rate the present ordering experience from one to five with one being the least likely to repeat the order and five being the most likely to use the service again.
The present disclosure may be further applied to other situations. For instance, the user may use the mobile device 140 to place the online order. While connected to the computing platform 104 via the wireless connection 140, the user may interact with the mobile device 140 via the HMI controls 118 to perform an ordering process substantially the same as the process 300 illustrated with reference to
While exemplary embodiments are described above, it is not intended that these embodiments describe all possible forms of the invention. Rather, the words used in the specification are words of description rather than limitation, and it is understood that various changes may be made without departing from the spirit and scope of the invention. Additionally, the features of various implementing embodiments may be combined to form further embodiments of the invention.
