Abstract: This application relates to systems and methods for automatically correcting labels in untrusted data based on a small sample of trusted data in a training database. In some examples, training data may be divided into a trusted dataset and an untrusted dataset using stratified sampling. An adversarial algorithm may be used to reassign labels in the data samples associated with the untrusted data based on a set of features in the data and labels in the trusted dataset. The untrusted dataset with the reassigned labels may then be used to train a machine learning model.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to ensuring quality of meat cuts. In some embodiments, a system for ensuring quality of meat cuts comprises a capture device comprising an image capture device configured to capture an image of a cut of meat, a depth sensor configured to capture depth data, a transceiver configured to transmit the image and the depth data, a microcontroller configured to control the image capture device, the depth sensor, and the transceiver, a database configured to store meat cut specifications, and the control circuit configured to receive, from the capture device, the image and the depth data, retrieve, from the database, a meat cut specification, evaluate the image of the cut of meat and the depth data associated with the cut of meat, and classify the cut of meat.

Abstract: An automated warehouse storage system including a multilevel storage array is provided. Each aisle has a set of storage levels and each level has storage locations distributed along the aisle. The guideway network extending through the multilevel storage array is configured for autonomous vehicles to move along the guideway network within the multilevel storage array. The guideway network including an inter-aisle guideway spanning at least two of the multiple aisles and a set of guideway levels extending in an aisle of the multiple aisles and disposed so that each guideway level is at a different one of the storage levels and the vehicles on the guideway level can access the storage locations distributed along the aisle. Each set of guideway levels is connected to the inter-aisle guideway forming a common guideway path so that a vehicle can move between inter-aisle guideway and each guideway level along the common guideway path.

Abstract: A system for generating a geographically-clustered routing solution includes a computer system configured to receive a plurality of orders. Each order in the plurality of orders comprises a geographic location. The plurality of orders are clustered into a plurality of clusters based on the geographic location of each order and a routing solution is generated for each of the plurality of clusters. Each routing solution is transmitted to at least one vehicle system.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a respective number of totes for each respective order of one or more orders; determining, using a first set of rules, when the respective number of totes for a respective order of the one or more orders can be reduced; when the respective number of totes is determined to be able to be reduced, reducing, using a second set of rules, the respective number of totes for the respective order to a respective reduced number of totes for the respective order of the one or more orders; comparing the respective number of totes for the respective order to the respective reduced number of totes for the respective order; and when the respective number of totes for the respective order is compared to be equal to the respective reduced number of totes for the respective order, facilitating displaying, on an electronic device

Abstract: An analysis of the scans is performed to determine whether the selected item was moved from the back room to the shelf, then returned from the shelf to the back room. The analysis also determines a re-bin time when the selected product was returned to the back room. An adjustment to the PI is blocked when last PI adjustment time is later than the re-bin time. An adjustment to the PI is also blocked when an audit indicator is received at the interface indicating that the retail store is under an audit. An adjusted PI value is determined when the analysis indicates that the selected item was moved from the back room to the shelf, then returned from the shelf, the adjusted PI value being at least one more than the shelf capacity value.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to delivering merchandise using autonomous ground vehicles (AGVs) in cooperation with unmanned aerial vehicles (UAVs). In some embodiments, the system includes: an AGV having a motorized locomotion system, a storage area to hold merchandise, a sensor to detect obstacles, a transceiver, and a control circuit to operate the AGV; a UAV having a motorized flight system, a gripper mechanism to grab merchandise, a transceiver, an optical sensor to capture images; and a control circuit to operate the UAV. In some forms, the system may include a control circuit that instructs movement of the AGV along a delivery route; determines if the AGV has stopped due to an obstacle; and in certain circumstances, instructs the UAV to retrieve merchandise from the AGV, calculates a delivery route for the UAV to the delivery location, and instructs the UAV to deliver the merchandise.

Abstract: An automated order fulfillment system and mobile robot are disclosed, where the mobile robot includes a compliant drive for moving between levels of a multilevel storage structure.

Abstract: A system including one or more processors and one or more non-transitory media storing computer instructions configured to run on the one or more processors and perform: identifying a first sub-population of case individuals from a gross population of the case individuals; presenting first test content to a first test sub-population of the case individuals, the first test content is selected according to a first statistical model; measuring a first test sub-population average feedback metric based on first test content feedback provided from the first test sub-population of the case individuals; determining that the first test sub-population average feedback metric exceeds a first control population average feedback metric of a first control population of the case individuals; and determining that a probability value for a difference between the first test sub-population average feedback metric and the first control population average feedback metric is less than a predetermined significance level value.

Abstract: A mobile assembly apparatus and a method of assembling a retail product utilizing a retail assembly are discussed. The mobile assembly apparatus may include a cabinet structure, an expandable work surface, a frame, wheels, an articulated arm, outrigger supports, a power supply, sensors, a hardware dispenser, and a computing device. The mobile assembly apparatus scans a machine readable identifier and retrieves assembly instructions for an item associated with the identifier. The computing device controls the outrigger supports and extendable surface based on the instructions. The computing device monitors the progress of the assembly of the time and validates the assembly based on assembly data from the sensors.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include obtaining reorder likelihood scores for items that a user has ordered historically. The acts also can include grouping the items into groups using a taxonomy. The acts additionally can include adjusting the groups based on a respective number of items in each of the groups and a respective group-specific threshold for each of the groups. The acts further can include ranking the items within the groups based on the reorder likelihood scores. Other embodiments are described.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: calculating a first user propensity score and a second user propensity score for a user based on at least one feature vector of historical data of the user; using the first user propensity score to place the user into a first segment; using the second user propensity score to place the user into a second segment different than the first segment; and facilitating delivery of a message to an electronic device of the user based on the first segment and the second segment. Other embodiments are disclosed.

Abstract: Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: bundling multiple registered queries of a dataset using a scheduling technique, wherein the dataset is homogenous in schema; running a single table scan of the dataset to process the multiple registered queries of the dataset in parallel; and generating a respective output responsive to each of the multiple registered queries. Other embodiments are disclosed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to facilitating the vehicle pick up of orders at shopping facilities. In some embodiments, there is provided a system including: an electronic interface for receiving an order corresponding to a customer and for receiving a time period during which the customer requests to pick up the order; a control circuit configured to: determine the location of the customer; determine a plurality of shopping facilities near the customer's location; determine when the order would be available for pick up; determine the subset of shopping facilities where the order would be available within the time period requested by the customer; transmit the location to the customer; and at least one shopping facility where the order is made available for pick up by the customer during the requested time period.

Abstract: There are provided systems and methods relating to assembling unpacked merchandise in containers. In one form, the system includes an order of merchandise items to be assembled in containers, and a predetermined set of containers defining different sizes and including at least two different types of containers. The system also includes a control circuit configured to: receive notification of the order, select a first type of container, determine a first subset of the plurality of merchandise items to be received in the selected type of container, select a size of the selected type of container to receive the first subset of merchandise items, and instruct the disposition of the first subset of merchandise items within the selected type and size of container.

Abstract: An approach is disclosed for optimizing jobs, which involve effective data retrieval across multiple data sources, via an externalized query pattern. The approach receives a query. The approach allocates computing power to one or more computing nodes to process a job for the received query. The approach determines whether the job for the received query corresponds to an identifier indexed in a search engine. The approach retrieves, in response to determining the job for the received query corresponds to the indexed identifier, attribute data corresponding to the indexed identifier from the search engine. The approach provides a response to the received query request, in which the response includes the attribute data corresponding to the indexed identifier.

Abstract: Examples provide a system for cold-chain compliant item selection. A set of perishable items are selected for retrieval by a user based on item data, cold-chain compliance score(s), and/or cold-chain compliance restrictions associated with each user. The selected set of items are assigned to the user for retrieval in accordance with a set of cold-chain compliance parameters, including a per-item maximum dwell-time specifying a maximum time interval between removal of a perishable item from a temperature-controlled display area and receipt of the perishable item at an intake area. A dwell-time is calculated for an item received at an intake area. The item is accepted if the per-item maximum dwell-time exceeds the calculated dwell-time and the item is rejected if the calculated dwell-time exceeds the per-item maximum dwell-time. An incentive is provided to the identified user based on a cold-chain compliance score for the user.

Abstract: A system includes one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors to perform: receiving, from a customer device, an online order for a customer, wherein the online order comprises a customer identification for the customer; receiving, from the customer device, a selection of a pick-up time for retrieval at a store; receiving an additional order for the customer; linking the additional order to the online order based on the customer identification; sending instructions to an assembler configured to (1) read identifiers of the online order and the additional order, (2) retrieve the plurality of items and the one or more additional items from a facility, and (3) place the plurality of items and the one or more additional items in a designated location. Other embodiments are disclosed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to baling materials. In some embodiments, there is provided a system for baling recyclable materials including a baling a machine configured to compress materials into a shape suitable for at least one of storage and transportation; the materials comprising mixed type recyclable materials, the material not comprising added cardboard header materials configured to structurally enhanced the shape having been compressed; baling wire configured to twine and secure the materials compressed by the baling machine resulting in a bale comprising twined and compressed materials; and shrink film configured to wrap around the bale.