Abstract: In some examples, a computing device may receive, from a user device, user input indicating selection of a first item to place an order with a merchant. The computing device may analyze a plurality of transaction records for past orders to determine a likelihood that the first item will be unavailable for the order. The computing device may send a communication that causes the user interface on the user device to display a notification including a request for an action to perform in the event that the first item is unavailable. The computing device may receive a response including an instruction for the action to perform. The computing device may cause the order to be placed with the merchant. In response to receiving subsequently an indication from the merchant that the first item is unavailable, the computing device may send a communication to cause the action to be performed.

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: Provided are various mechanisms and processes for generating dynamic merchant scoring predictions. A system is configured to receive datasets comprising pairings between training customer profiles and training merchant profiles. For each pairing, a set of feature values corresponding to features specified by the customer and merchant profiles are extracted and converted into a training vector to train a machine learning model to determine a weighted coefficient for each feature. Once sufficiently trained, the system determines a set of available merchant profiles for a customer profile in response to receiving a search request from a customer associated with the customer profile. For each pairing between the customer profile and an available merchant profile, the system determines an order score for the available merchant based on the weighted coefficients and an input set of feature values specified by the customer profile and the available merchant profile.

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: A dialogue complexity assessment method, system, and computer program product including calculating a complexity utilizing domain-dependent terms and domain-independent terms of a dialogue, where the dialogue includes dialogue data from contact centers of service providers.

Abstract: In an approach to determining a boundary-specific offer, one or more computer processors determine a user of a mobile device is within a pre-defined physical boundary. The one or more computer processors determine a first notification of an offer corresponding to the pre-defined physical boundary. The one or more computer processors send the first notification of the offer to the mobile device. The one or more computer processors determine whether the user of the mobile device moved outside of the pre-defined physical boundary. In response to determining the user of the mobile device moved outside of the pre-defined physical boundary, the one or more computer processors invalidate the offer.

Abstract: Systems, methods, and computer-readable media for providing a signaling location beacon are provided. Specifically, a collection location for collecting, by an agent, an item is determined. Also, a physical beacon associated with the pickup location can be identified. Further, an interaction between the physical beacon and the agent can be detected. For example, the interaction can occur based on the physical beacon and the agent being in physical proximity to each other during a process of the agent collecting the item at the collection location. As follows, in response to the interaction, transmission of a sensory signal to the agent can be facilitated to provide perceivable direction information associated with the physical location to the agent. The sensory signal can be specific to the agent based on the interaction between the physical beacon and the agent.

Abstract: Systems, methods, and computer-readable media for providing a signaling location beacon are provided. Specifically, a physical location for transferring a delivery from a delivery person to a customer can be determined. Also, a physical beacon associated with the physical location can be identified. Further, an interaction between the physical beacon and the delivery person can be detected. For example, the interaction can occur based on the physical beacon and the delivery person being in physical proximity to each other. As follows, in response to the interaction, transmission of a sensory signal to the delivery person can be facilitated to provide perceivable direction information associated with the physical location to the delivery person.

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 vehicles may each include a plurality of different modules that couple to a chassis. The modules may include battery modules, drive modules, cargo modules, and other modules. Each drive module may include wheels and motors and steering mechanisms that control the wheels. A plurality of such modules may be disposed on the chassis. The modules may be disposed on different portions of the chassis and be given different operational commands accordingly. Furthermore, operation of the vehicle may be adjusted based on the cargo carried by the vehicle.

Abstract: Data content delivery and validation in a computer environment may provide a file system in the computer environment, the file system subdivided into unique folder locations per content type, each of the unique folder locations representing a content type folder. The file system is monitored for changes to a content type folder. An occurrence of a manifest file in the content type folder may be detected, the occurrence of the manifest file ensuring that all files in a package of files associated with the manifest file have arrived. Content of the manifest file may be analyzed to check validity of the files. A content package registry may be queried to determine a base job for processing a given content type associated with the package of files, and the base job may be run to process the package of files.

Abstract: A computer-implemented method, system, and/or computer program product controls self-driving vehicles (SDVs). An emergency message is transmitted to a receiver within a self-driving vehicle (SDV). The emergency message describes an emergency state of an emergency vehicle and an identified future route of the emergency vehicle, where the identified future route is a planned route to an emergency destination for the emergency vehicle that includes a first pathway. In response to the SDV receiving the emergency message, the SDV is redirected, via an auto-control hardware system on the SDV, to drive to a second pathway that does not conflict with the identified future route of the emergency vehicle.

Abstract: A dialogue complexity assessment method, system, and computer program product including calculating a complexity utilizing domain-dependent terms and domain-independent terms of a dialogue, where the dialogue includes dialogue data from contact centers of service providers.

Abstract: A floor operations automation system can include an intelligent video module, profiles, decision rules, and a decision module. The intelligent video module can be configured to generate video analytics data from video captured by video cameras within a retail location. The profiles can contain data that represents a business practice or policy of the retail location and/or user-specified preferences for decision-related variables. The decision rules can express actions to be performed in response to predefined conditions within the retail location. The decision module can be configured to decide upon action to be performed, based upon the video analytics data, the profiles, and the decision rules. The decision can be made without direct input from a human agent of the retail location. The actions can affect a business system and/or a human agent associated with the retail location.

Abstract: Provided are various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: In an approach to determining a boundary-specific offer, one or more computer processors determine a user of a mobile device is within a pre-defined physical boundary. The one or more computer processors determine a first notification of an offer corresponding to the pre-defined physical boundary. The one or more computer processors send the first notification of the offer to the mobile device. The one or more computer processors determine whether the user of the mobile device moved outside of the pre-defined physical boundary. In response to determining the user of the mobile device moved outside of the pre-defined physical boundary, the one or more computer processors invalidate the offer.

Abstract: Some examples include a processor that accesses past order information for a plurality of past orders received in the past for a plurality of merchants and delivered by delivery agents. Further, for an upcoming time period, based on the past orders received by individual merchants over a past period of time, the processor may determine a predicted number of orders to be received for an upcoming time period for the individual merchants. The processor may execute delivery agent management logic to compare, for the upcoming time period, a number of active delivery agents with the predicted number of orders, and may send a message to a first delivery agent device associated with a first delivery agent to cause one of: activation of the first delivery agent from inactive status to active status, or deactivation of the first delivery agent from active status to inactive status.

Abstract: Systems and methods for universal menu integration. A digital key is issued to a vendor to access an interface. An uploaded menu is received from the vendor. The uploaded menu is in a universal format based on pre-determined criteria. The menu may be received from the vendor via HyperText Transfer Protocol (HTTP). The uploaded menu may be submitted in a format different from the universal format and then subsequently translated into the universal format. The uploaded menu is posted for receiving online delivery orders. An online delivery order is received from a user device. Last, the online delivery order is transmitted to the vendor. The interface may be an application programming interface (API) utilizing an API library including post, get, and patch functions, as well as out of stock and item availability fields. The system may be configured to receive menu updates after posting the uploaded menu.

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 various systems and processes for improving last-mile delivery of real-time, on-demand orders for perishable goods. In one aspect, an automated vehicle (AV) comprises a body including a storage compartment for storing perishable goods. The storage compartment is accessible by a user upon authentication of the user. The AV further comprises a sensor module for receiving data for navigating the AV. The sensor module is positioned above the body on a support structure at a predetermined height above the ground, such as three to five feet. The data includes one or more of the following: audio data, video data, radio waves, and backscattered light waves. The AV further comprises an onboard computer system configured to process the data to navigate the AV along motor vehicle routes and pedestrian routes. The AV may be configured to interface with an automated locker system to retrieve or deposit the perishable goods.

Abstract: In some examples, a first computing device may receive, from a repository computing device, an indication of a change request including updated software located at a repository. The first computing device may receive at least one key-to-string mapping from the updated software located at the repository, and an indication of a target locale associated with the change request. The first computing device may compare a first string from the at least one key-to-string mapping and the target locale with translated strings maintained in a database to determine that a translated version of the first string translated for the target locale is absent from the database. The first computing device may receive, from a translation provider computing device, the translated version of the first string translated for the target locale, and may send the translated version of the first string to the repository computing device for association with the repository.