Abstract: Provided are systems and processes for optimizing assignments of deliveries for perishable goods. In one aspect, a method is provided for pairing a set of created orders with a set of available couriers. The set of created orders may include orders confirmed by the merchant and the set of available couriers include couriers that are online with an active status. Feasible pairings are generated between each courier and each created order. Infeasible pairings are eliminated based on factors such as transportation mode. Possible routes for each pairing are generated and scored based on weighted factors. The scores are optimized to achieve a set of routes with a maximum score. The routes are then offered to the corresponding courier if the courier will arrive at or after the created order is completed by the merchant. A neural network may be implemented to recognize the optimal score for a given duration.

Abstract: In some examples, a computer may receive, from a buyer application on a buyer device, an indication that the buyer has accessed information related to a first merchant of a plurality of merchants. The computer may send a communication to a merchant application on merchant computing device of the first merchant to determine a current backlog of orders for the first merchant. Based at least partially on receiving an indication that the current backlog exceeds a threshold, the computer may send, to the buyer application, item information that causes the buyer application to present, in a user interface, information indicating availability of a meal kit for a menu item offered by the first merchant. The computer may receive a selection via the user interface indicating an order for the meal kit and may send a communication to the merchant application to indicate the order for the meal kit.

Abstract: Concepts for generating navigation instructions for a driver of a vehicle are presented. One example, includes obtaining a current location of the vehicle, a route for the vehicle from the current location to a target destination, and a captured image of the surrounding environment of the vehicle, the image having a field of view comprising at least part of a field of view of the driver. An object is identified in the captured image. Navigation instructions for the driver are generated based on the current location of the vehicle, the route for the vehicle and the object identified in the captured image.

Abstract: Provided are systems and processes for optimizing assignments of deliveries for perishable goods. In one aspect, a method is provided for pairing a set of created orders with a set of available couriers. The set of created orders may include orders confirmed by the merchant and the set of available couriers include couriers that are online with an active status. Feasible pairings are generated between each courier and each created order. Infeasible pairings are eliminated based on factors such as transportation mode. Possible routes for each pairing are generated and scored based on weighted factors. The scores are optimized to achieve a set of routes with a maximum score. The routes are then offered to the corresponding courier if the courier will arrive at or after the created order is completed by the merchant. A neural network may be implemented to recognize the optimal score for a given duration.

Abstract: Described are systems and processes for generating dynamic effort-based delivery value predictions for real-time delivery of perishable goods. In one aspect, a system is configured for generating dynamic delivery value predictions for delivery opportunities provided to couriers. For each order, delivery events and corresponding timestamps are received from devices operated by customers, restaurants, and couriers. Based on the timestamps, the system generates a predicted delivery duration with trained predictive models that use weighted factors such as order data and historical restaurant data. A service value for the delivery of the order is determined based the predicted delivery duration and a predetermined active time value. The service value is then transmitted along with the corresponding delivery opportunity to a user device of a courier. The determined service values may be adjusted based on courier acceptance rates of delivery opportunities and other factors such as customer experience.

Abstract: The program directs a computer processor to implement a program that selects at least one substitute ingredient for a food recipe based on a plurality of determined criteria. The program receives a food recipe comprising one or more ingredients, instructions, and preparation time. The program determines time constraints of a user. The program identifies one or more Internet of Things (IoT) enabled cooking devices that are available in a kitchen associated with the user to carry out the instructions of the food recipe. The program searches a market database in a market to identify available options for the at least one substitute ingredient found in the market database based on a similarity level of the at least one substitute ingredient compared with at least one ambiguous ingredient in the food recipe, and selects the at least one substitute ingredient according to the plurality of determined criteria.

Abstract: The program directs a computer processor to implement a program that selects at least one substitute ingredient for a food recipe based on a plurality of determined criteria. The program receives a food recipe comprising one or more ingredients, instructions, and preparation time. The program determines time constraints of a user. The program identifies one or more Internet of Things (IoT) enabled cooking devices that are available in a kitchen associated with the user to carry out the instructions of the food recipe. The program searches a market database in a market to identify available options for the at least one substitute ingredient found in the market database based on a similarity level of the at least one substitute ingredient compared with at least one ambiguous ingredient in the food recipe, and selects the at least one substitute ingredient according to the plurality of determined criteria.

Abstract: Techniques for optimizing a food service configured to receive food orders from multiple customers, and consolidate orders based on respective days, times, and locations associated therewith. The food orders may include deliveries, customer pick-ups, and dine-in options for eating at a restaurant. The optimized food service may be configured to assign a restaurant to the consolidated orders and send a preparation instruction to the restaurant to prepare the consolidated orders for a designated pick-up or dining time. The optimized food service may additionally instruct an order supervisor to travel to the restaurant to assist in preparation of the consolidated orders. The order supervisor may additionally serve a food order, such as for a dine-in option or full service, catered delivery. For delivery orders, the optimized food service may assign a courier and, in some examples, a delivery assistant, to deliver the orders to respective customers.

Abstract: In some examples, a computing device may receive, from a merchant application on a merchant device, an indication that a buyer has initiated a transaction to purchase an item from a merchant associated with the merchant device. A first fulfilment selection may initially be associated with the transaction. The computing device may determine an association of the buyer with a buyer account. A buyer device having a buyer application executable thereon may be associated with the buyer account. The computing device may send, to the buyer application, transaction information related to the transaction to enable the buyer to pay for the transaction via the buyer application and/or change the fulfilment selection for the transaction. The computing device may receive, from the buyer application, at least one of an indication of authorization of payment for the transaction or an indication of a change to the fulfilment selection.

Abstract: A remote vehicle control system includes a vehicle mounted sensor system including a video camera system for producing video data and a distance mapping sensor system for producing distance map data. A data handling system is used to compress and transmit both the video and distance map data over a cellular network using feed forward correction. A virtual control system acts to receive the video and distance map data, while providing a user with a live video stream supported by distance map data. Based on user actions, control instructions can be sent to the vehicle mounted sensor system and the remote vehicle over the cellular network.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, a method for operating an autonomous vehicle comprises receiving real-time perception data at a planner module located on the autonomous vehicle, and generating an initial motion plan based on the real-time perception data. The autonomous vehicle is maneuvered along a constrained route based on the initial motion plan without user input. An alert condition is detected from the real-time perception data, and a notification is displayed at an operator device. The notification includes a request for user input to adjust the initial motion plan. User input is received at the planner module and a modified motion plan is generated by adjusting the initial motion plan based on the user input. A virtual representation of objects identified by the AV is locally rendered for display at the operator device.

Abstract: Integrating a fulfillment service provider into a third-party application via an Application Programming Interface (API) is described. In an example, a computing device associated with a fulfillment service provider can determine, based at least in part on an indication of an interaction between a user and a third-party application, that the fulfillment service provider has been initialized. In one example, functionality associated with the fulfillment service provider can be accessible to the third-party application via an API. In at least one example, the computing device can generate, based at least in part on the interaction with the third-party application and while the fulfillment service provider is initialized, a recommendation of at least one of a service, a merchant, or an item associated with the fulfillment service provider. The computing device can cause the recommendation to be presented via at least one of the third-party application or the fulfillment service provider.

Abstract: Techniques for optimizing a food service configured to receive food orders from multiple customers, and consolidate orders based on respective days, times, and locations associated therewith. The food orders may include deliveries, customer pick-ups, and dine-in options for eating at a restaurant. The optimized food service may be configured to assign a restaurant to the consolidated orders and send a preparation instruction to the restaurant to prepare the consolidated orders for a designated pick-up or dining time. The optimized food service may additionally instruct an order supervisor to travel to the restaurant to assist in preparation of the consolidated orders. The order supervisor may additionally serve a food order, such as for a dine-in option or full service, catered delivery. For delivery orders, the optimized food service may assign a courier and, in some examples, a delivery assistant, to deliver the orders to respective customers.

Abstract: A remote vehicle control system includes a vehicle mounted sensor system including a video camera system for producing video data and a distance mapping sensor system for producing distance map data. A data handling system is used to compress and transmit both the video and distance map data over a cellular network using feed forward correction. A virtual control system acts to receive the video and distance map data, while providing a user with a live video stream supported by distance map data. Based on user actions, control instructions can be sent to the vehicle mounted sensor system and the remote vehicle over the cellular network.

Abstract: Provided are mechanisms and processes for facilitating a real-time, on-demand delivery platform for perishable goods by determining aspects such as the location and status of a courier who is affiliated with a delivery platform. In one example, a courier carries a Bluetooth Low Energy (BLE) enabled mobile device that is configured to detect signals from beacons located at both a vehicle registered to the courier and a provider site. Each of the detected signals includes identifying information and signal strength of the detected signal. The identifying information and signal strengths are transmitted to a server that monitors the signal strengths received at the courier's BLE-enabled mobile device from the beacon devices to determine the likelihood that the courier has arrived at the provider site.

Abstract: Described herein are various systems and processes for vehicles for delivery of real-time, on-demand orders for perishable goods, and operations thereof. The automated delivery vehicle may include a food transport container and various sensors configured to determine the location and/or surroundings of the vehicle. The automated delivery vehicle may further include a display and/or other output source configured to provide outputs to persons surrounding the automated delivery vehicle. Such outputs may include, for example, an information graphical representation (e.g., provided on a display), an audio output, and/or data communicated to a wireless device.

Abstract: In some examples, a computing device may receive a user request and may determine a user type and a user location associated with the received user request. Further, based at least on a request type, the user type, and the user location, the computing device may select a first policy file from among a plurality of policy files, each policy file of the plurality of policy files preconfigured for a respective different combination of at least the request type, the user type, and the user location to contain at least one data action for instructing at least one respective target subsystem to perform the at least one data action in response to a respective user request. In addition, the computing device may send, for a respective data action included in the first policy file, a respective instruction to a respective target subsystem.