Abstract: A system for moving cargo includes an in-vehicle conveyor system mounted in a vehicle cargo space, the in-vehicle conveyor system comprising one or more rails. The rails may be mounted to walls, floor, or ceiling of the vehicle cargo space. The system also includes one or more cargo storage units attached to the in-vehicle conveyor system. Each of the one or more cargo storage units is secured to the rails such that the one or more cargo storage units are raised with respect to a floor of the vehicle cargo space and define a circuit as based on a travel path of the one or more cargo storage units. Upon instruction, the cargo storage units are movable along the circuit to move a specified cargo storage unit to a predetermined location.

Abstract: An integrated tailgate assembly for a vehicle includes a tailgate moveable between a closed position, an open position, and a step position. The integrated tailgate assembly is configured to provide a stepping surface for a user, to assist with egress and ingress into a vehicle storage compartment. In some implementations, the integrated tailgate assembly includes a first connecting member rotatably coupled to the vehicle. In some implementations, the integrated tailgate assembly includes a second connecting member coupled to the first connecting member and the tailgate. In some implementations, the integrated tailgate assembly includes a deployable platform with a platform cover and a deployable platform grip surface, the deployable platform rotatably coupled to the tailgate and moveable between a stored position with the platform cover flush with the tailgate inner surface and a deployed position with the deployable platform grip surface providing a step.

Abstract: A battery control system has a switch circuit coupled between the battery and the battery output. A magnet is secured to an electrical connector that is connectable to the battery output. A processing element closes the switch circuit when a sensor detects a magnetic field and opens the switch circuit to electrically isolate the battery cell from the battery output connector when the sensor does not detect a magnetic field. When the electrical connector is connected to the battery output connector, the sensor detects the magnetic field produced by the magnet and outputs a signal that prompts the processing element to close the switch circuit. When the electrical connector is disconnected from the battery output, the sensor no longer detects the magnetic field and outputs a signal prompting the processing element to open the switch circuit.

Abstract: A tailgate step may include an actuation handle configured to be pivotably coupled to a vehicle tailgate. A tailgate step may include a drive link pivotably coupled to the actuation handle. A tailgate step may include a step support link pivotably coupled to the drive link and configured to support a step skin. A tailgate step may include a step surface coupled to and movable with the step support link between: a stowed position hiding the step surface and configured to align the step skin with a tailgate skin of the vehicle tailgate, and a deployed position with the actuation handle extending from the vehicle tailgate and configured as an assist device.

Abstract: A system reduces user wait times for order pickup by dynamically managing geofences based on user location and historical data. The system receives an order and route-based location data from a user device, and determines a personalized outer geofence using the user's estimated arrival time and a runner's estimated retrieval time, incorporating historical wait time data. An inner geofence is established near the pickup location. When the user enters the outer geofence, a notification is sent to a runner client device indicating the user is en route. Upon the user entering the inner geofence, the system initiates a wait time measurement, which ends upon confirmation of order pickup. The system calculates the user's wait time based on timestamps associated with these events. This computed wait time is then used to determine an outer geofence for a second user, allowing continuous geofence optimization based on evolving user and location data.

Abstract: Disclosed are various embodiments for surfacing local merchants with enhanced rewards opportunities to customers. First, a computing device can determine that a merchant satisfies a qualification criterion and add the merchant to a list of qualified merchants. Then, the computing device can send a message to a client application executing on a client device associated with a transaction account, the notification indicating that the merchant is a qualified merchant. Then, the computing device receives a first message from the client device indicating that a user of the client device is travelling from a first location to the merchant. Later, the computing device receives a second message from the client device indicating that the user of the client device has arrived at the merchant. A distance traveled by the client device is calculated and award value is calculated based on the distance traveled.

Abstract: A system receives an order from one or more user client devices associated with an account of the system, and transmits a first notification to the one or more user client devices that an order is ready for pick up at a pickup location. The system receives location data from a particular user client device of the one or more user client devices. The system determines an outer geofence based in part on a running average time or wait time at the pickup location in a recent time period, a size of the order, or a historical wait time associated with the account. In response to receiving an indication from the particular user client device that a user associated with the particular user has entered the determined outer geofence, the system transmits a second notification to a runner client device.

Abstract: A method, system, and predictive model that incorporate various sources of unrelated sediment data and water body data to determine the rate of sediment phosphorus release. This method, system, and/or model can be fine-tuned to enhance the accuracy of predictions by providing feedback data of measured phosphorus release. This method, system, and/or model can be used to assess the effectiveness of various strategies to suppress sediment phosphorus release and these predictions can also be fine-tuned by providing feedback data of measured effectiveness of these strategies in real world treatments or laboratory studies. In one embodiment, this model includes the calculation of coefficients related to the release of different forms of sediment phosphorus to create indices of phosphorus release in a water body.

Abstract: The present aspects include a recoater blade system. The recoater blade system includes a blade body with a longitudinal length between a first end and a second end, and a sensor device associated with the blade body. The sensor device is configured to receive inputs relating to characteristics of a powder bed. The inputs may include drag force of the blade body across the powder bed and impact force on the blade body, and these inputs may determine the spreading quality of the blade body and any surface defects that may be present.

Abstract: A system for moving cargo includes an in-vehicle conveyor system mounted in a vehicle cargo space, the in-vehicle conveyor system comprising one or more rails. The rails may be mounted to walls, floor, or ceiling of the vehicle cargo space. The system also includes one or more cargo storage units attached to the in-vehicle conveyor system. Each of the one or more cargo storage units is secured to the rails such that the one or more cargo storage units are raised with respect to a floor of the vehicle cargo space and define a circuit as based on a travel path of the one or more cargo storage units. Upon instruction, the cargo storage units are movable along the circuit to move a specified cargo storage unit to a predetermined location.

Abstract: Multiple users of a household can each have a different profile associated with a common account for an online concierge system. This association of different profiles with the common accounts allows the concierge system to show a user of the household what other users of the household purchased and rank items for suggestion to the user based one purchases of other users, facilitating order building. The online concierge system also enables a user profile to designate a user profile associated with the common account for an order pickup or as a contact for a home delivery. Additionally, association of different user profiles with the common account may be used for account recovery of one of the user profiles. Further, different user profiles may have different permissions for creating an order with the online concierge system.

Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

Abstract: A system receives an order from one or more user client devices associated with an account of the system, and transmits a first notification to the one or more user client devices that an order is ready for pick up at a pickup location. The system receives location data from a particular user client device of the one or more user client devices. The system determines an outer geofence based in part on a running average time or wait time at the pickup location in a recent time period, a size of the order, or a historical wait time associated with the account. In response to receiving an indication from the particular user client device that a user associated with the particular user has entered the determined outer geofence, the system transmits a second notification to a runner client device.

Abstract: Multiple users of a household can each have a different profile associated with a common account for an online concierge system. This association of different profiles with the common accounts allows the concierge system to show a user of the household what other users of the household purchased and rank items for suggestion to the user based one purchases of other users, facilitating order building. The online concierge system also enables a user profile to designate a user profile associated with the common account for an order pickup or as a contact for a home delivery. Additionally, association of different user profiles with the common account may be used for account recovery of one of the user profiles. Further, different user profiles may have different permissions for creating an order with the online concierge system.

Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

Abstract: An online concierge system receives an order from a customer. The online concierge system transmits a notification to the customer's client device indicating that the order is ready for pick up and receives location data from the customer's client device as the customer travels to a pickup location. In response to the online concierge system receiving a first indication that the customer has entered an outer geofence, the online concierge system transmits a second notification to a runner's client device that the customer is in transit. In response to the online concierge system receiving a second indication that the customer has entered an inner geofence, the online concierge system starts a timer. When the online system receives a confirmation that the order has been picked up by the customer, it stops the timer and computes a wait time for pick up of the order.

Abstract: A spud connection to a cylindrical tank wall includes a spud body welded to a cylindrical tank wall. In at least some embodiments, the spud body has an arcuate and concave first end surface, and a planar second end surface spaced apart from the first end surface. A weld joint between the first end surface of the spud body and an outer surface of the cylindrical tank wall surrounds an aperture that extends through the cylindrical tank wall, so that a leak-free fluid connection to an interior volume of the tank can be achieved.

Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

Abstract: An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

Abstract: An online concierge system accesses an order history database, which describes historical orders for a plurality of users. Each historical order comprises a list of items selected by a user from a plurality of items. The online concierge system determines user streaks, each user streak based on a number of consecutive orders placed by a user that include a particular item. The online concierge system calculates an overall streak distribution based on the user streaks. For each item of at least a subset of the plurality of items, the online concierge system calculates a streak statistic based on a corresponding subset of user streaks and the overall streak distribution. The online concierge system selects a set of staples items for a user based on the streak statistics for the set of staple items and generates a display for the user with a selectable list of the set of staple items.