Abstract: Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Abstract: Various systems and methods are provided that integrate data from disparate sources to identify shipment misalignments and display such information in interactive user interfaces. For example, the systems described herein can define various geographic regions using location and census data and identify the defined geographic regions in which stores are located. Using shipment data and micro-market data, the systems described herein can then identify the geographic regions that items are shipped to, identify the demand for such items in the geographic regions, and determine whether the quantity of items shipped to the geographic regions is appropriate based on the demand. Such information can be displayed in an interactive user interface that allows a user to view the geographic clustering of item demand, identify potential opportunities for correcting shipment misalignment, and/or correct identified shipment misalignments.

Abstract: According to one or more embodiments of the disclosure, a service deploys a first service connector to a first deployment network of a first organization and a second service connector to a second deployment network of a second organization. The service receives a selected visibility offering by the first organization and a selected visibility intent for the second organization. The service determines a data sharing policy by matching the selected visibility offering by the first organization to the selected visibility intent for the second organization. The service configures the first service connector to capture data specified by the data sharing policy from the first deployment network and provide that data to the second service connector.

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

Abstract: Methods and systems are disclosed configured to control the planting, application of pesticides, and harvesting of greenhouse crops, such as herbs. The greenhouse may include a variety of sensors, such as moisture sensors, ph sensors, and/or CO2 sensors. Unmanned vehicles may be utilized to capture crop images, and a learning engine may be used to determine the size of greenhouse crops. Such sensor data may be used to predict crop availability. A predication engine may be utilized to predict demand for greenhouse crops using current and historical orders for greenhouse crops. Greenhouse crop production instructions may be generated and transmitted to a greenhouse computer system to cause crops to be sown or harvested. Pallet loading instructions may be generated regarding the loading of specified quantities of crop packs on respective pallets for shipment to a destination.

Abstract: An online concierge system allows users to order items within discrete time intervals later than a time when an order was received. Each order may require a different set of characteristics for fulfilment by shoppers. Because different shoppers may have different capabilities, it is most efficient to reserve shoppers with specialized characteristics for orders that require them. The online concierge system maintains a set of hierarchical structures for different characteristics of shoppers, with each level in a hierarchical structure having a value. To select a shopper to fulfill an order, the online concierge system scores identifies groups of shoppers having characteristics capable of fulfilling the order based on levels in the hierarchical structure for each characteristic of a group. A shopper from a group having a minimum score is selected to fulfill the order.

Abstract: A computer system that queries a carrier computer system of a carrier associated with a shipment to determine whether delivery appointment scheduling is available for the shipment, based on a determination that the delivery appointment scheduling is available, generates and transmits a link for a dynamically generated web page to the recipient; receives a signal indicating activation of the link; obtains scheduling information for the shipment from the carrier computer system; dynamically generates page code for the web page and transmits the web page to a client, the web page displaying information associated with the shipment and digital assets that visually correspond to the shipper of the shipment and including a scheduling tool; receives a selection of a time slot from the scheduling tool; and communicates with the carrier computer system to update the carrier computer system with the time slot to schedule delivery of the shipment to the recipient.

Abstract: A computer-implemented database system for storing data relating to a series of events may include a memory storing instructions and at least one processor configured to execute the instructions to perform a process. The process may include receiving data relating to a first return request initiated by a first customer via a first user device, and creating a first data structure for the first return request into a first database. The process may also include create a first event for the first return request, and storing the first event in the first data structure. The process may further include receiving data relating to an update associated with the first return request, creating a second event for the update, and inserting the second event into the first data structure.

Abstract: An equipment monitoring system for a merchandiser. The system includes a control system that defines a data acquisition node, a server that is in remote communication with the control system via a network providing a communication bridge between the data acquisition node and the server, and that includes a database and one or more applications having executable processing instructions, and equipment monitoring sensors that are coupled to one or more components of the merchandiser to obtain status data regarding the status of the one or more components. The equipment monitoring sensors are in communication with the data acquisition node to communicate the status data to the server. The application(s) execute processing instructions that conduct program analysis for the one or more components using the status data based on information associated with the merchandiser to determine a predictive component failure associated with the one or more components.

Abstract: The present disclosure accurately detects the position of a shelf label disposed on a display shelf. A shelf label detection device may be provided with a shelf label position correction unit and a shelf label position identification unit. The shelf label position correction unit corrects a manual shelf label position set including a shelf label position that has been set in advance for a reference camera image, using an automatic shelf label position set which includes a shelf label position detected from a monitoring camera image using image recognition, thereby generating a corrected shelf label position set. The shelf label position identification unit uses the corrected shelf label position set to identify the shelf label position in the monitoring camera image.

Abstract: Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.

Abstract: Method and apparatus configured to receive a plurality of power flow data from at least a grid monitoring device connected to a grid network including a plurality of nodes, generate a power flow allocation for at least a node in the network as a function of the at least a power consumption datum and the at least a generation datum, determine a carbon flow as a function of the power flow allocation and a first set of stored relational rules, generate an objective function of a carbon flow and a second set of stored relational rules, minimize the objective function of a carbon flow as a function of the carbon optimization model and an optimization algorithm, generate a grid modification as a function of the minimization; and modify a grid parameter of the grid network as a function of the grid modification.

Abstract: A method includes: obtaining a task definition including (i) an item identifier, (ii) an original item quantity, and (iii) a normalized item quantity; presenting the normalized item quantity; obtaining an image of a collected item set; deriving collected item data from the image; determining whether the collected item data matches the item identifier and the original item quantity; and generating first output data or second output data according to whether the collected item data matches the item identifier and the original item quantity, or does not match the item identifier and the original item quantity.

Abstract: Systems and methods are provided for generating a virtual reality (VR) simulation of a retail store, which simulation is configured and displayed on an immersive VR display device that enables a user to experience the simulated retail store as if it were a physical retail store. The systems enable the user to arrange display cases and other interior store components, and to populate shelves, racks, and the like, with products to be sold in the retail store. A VR platform enables multiple users to synchronously view the VR simulation and make coordinated changes to develop an optimized configuration of the retail store. Marketing, sales, merchant, and other data may be collected, aggregated, and analyzed to identify purchase trends of certain products; the analyzed data may identify user shopping preferences, and the VR platform may generate a customized retail store including only products relevant to a user.

Abstract: A component supply processing server may obtain component purchase data for different components from different component suppliers, and obtain purchase settlement data between retailers and manufacturers, each manufacturer selling a product to the retailers, and each product including at least one of the different components. A learning algorithm may determine a predicted shortage of a given component by associating the manufacturers with a given component based upon the corresponding product, and accepting the component purchase data to determine component purchase patterns for each of the different components. The algorithm may determine the predicted shortage by the purchase settlement data to determine product purchase patterns for the products, and correlate the component and product purchase patterns to determine the predicted shortage.

Abstract: A computer-implemented method for dynamically pricing available storage units based on desirability is described. A server computer accesses a data storage storing a storage unit inventory for a particular facility. Each storage unit in the storage unit inventory is pre-assigned to a pricing group and provided a desirability rank. In response to a trigger for generating an updated sales plan for the particular facility (or for all facilities in a company), the server computer obtains an available storage unit inventory by deducting the unavailable storage units from the storage unit inventory and orders the available storage units within each pricing group by each unit's desirability rank. The server computer then assigns each of the available storage units to one of a plurality of pricing tiers within the pricing group according to the desirability rank order and generates an updated sales plan containing the available storage unit inventory grouped by the pricing group and by the pricing tiers.

Abstract: A method for proximity detection and ranging with neighboring devices is described here. The method includes identifying, by a processor of a first tag, a second tag from a group of tags within a predefined range of the first tag. The method further comprises initiating, by the processor, transmission of a packet to the second tag in the group of tags identified within the predefined range. The method further comprises, in response to the transmission of the packet, receiving, by the processor, a response packet from the second tag. The method includes in response to receiving the response packet, determining a tag distance between the first tag and second tag. The method includes determining that the tag distance associated with the second tag is less than a predefined distance, generating, by the processor, an alarm or notification to the first tag indicating that the predefined distance is crossed.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for item level data aggregation. A method includes identifying a transaction made with a third party within a set of transactions. A method includes using electronic credentials for a user to login to an account of the user at a third party. A method includes downloading item-level data from a third party that corresponds to an identified transaction in response to logging into a user's account at a third party. Item-level data identifies one or more items within an identified transaction. A method includes displaying a set of transactions to a user. A method includes displaying item-level data for one or more items within an identified transaction to a user in response to receiving input from the user relative to the identified transaction in a displayed set of transactions.

Abstract: In an approach for predictive forecasting of food allocation, a first data is received from one or more sensors. The amount and condition of available food is determined from the first data. The number and location of people is determined from the first data. The received data is modified to create a second data. One or more food requirements for the people are predicted based on the number and location of people and the second data. An optimal food allocation for the people is predicted based on the amount and condition of food available and the one or more food requirements. The optimal food allocation is reported.

Abstract: A mobile device and method for determining power tool attendance. The mobile device and method are able to generate a list of power tools that are missing based on being outside of communication range with the mobile device. For example, the mobile device includes a short-range transceiver, a memory, and a processor coupled to the memory and the short-range transceiver. The processor is configured to receive a list of a first plurality of power tools and receive, via a user interface, a selection to detect nearby tools. The processor is also configured to receive, via the short-range transceiver, identification signals from a second plurality of power tools and determine that a subset of the first plurality of power tools is missing based on the identification signals. The processor is further configured to generate an indication that the subset of the first plurality of power tools is missing.

Abstract: A storage insert for inserting in a storage device, having a storage body with an upper side for receiving storage goods, a lower side with receiving structures in a receiving region for receiving a sensor rail, and at least one optically transparent section between the receiving region and the upper side, and having the sensor rail, which is configured to be received in the receiving region by the receiving structures, and which has at least one sensor element in the region of the at least one optically transparent section is illustrated and described. The storage body is formed as a punched and bent storage sheet.

Abstract: Validated tracking of events associated with equipment during the course of a resource arrangement. The events include location-changing events, which provide for a physical change in location of the equipment. The verified tracking of the events is provided by a distributed trust computing network, which through convergence by one or more decentralized nodes provides for authenticating/validating data stored within distributed registers/ledgers. Specific to the invention, once a location-changing event is determined/detected, the location-changing event is registered in the distributed trust computing network by creating and validating a data block within a distributed register/ledger that includes information pertaining to the location-changing event.

Abstract: A computing device of a data register includes persistent storage and a data register manager. The persistent storage stores: an instance of a primary chain that specifies an organizational structure of computing devices of the data register and a secondary chain for registering data with a first portion of the computing devices. The data register manager monitors sizes of each of the portions of the computing devices specified by the organizational structure; makes a determination, based on the monitoring, that the organizational structure fails to meet at least one criteria; and in response to the determination: reorganizes the organizational structure to meet the at least one criteria by, at least in part, modifying the secondary chain.

Abstract: Exemplary embodiments are directed to a method and apparatus for storing data for a batch of manufactured items. The method comprises defining in a processor, using a lower limit identifier and an upper limit identifier, a range of unique item identifiers for the batch, wherein each manufactured item in the batch is allocated a unique item identifier falling within the range. The item identifiers are stored in allocated storage space. If an upper limit identifier is specified for each time interval, an amount of storage specified for all manufactured items during a production time period is calculated as a sum of a first product and a second product, the first product being a product of a production time and a size allocated to each upper limit identifier, and the second product being a product of the production time, a total number of manufactured items, and a percentage of unused identifiers.

Abstract: A distributed inventory system is made up of multiple regions, each of which includes a document-based database and an inventory management system. The document-based database maintains documents regarding inventory counts for different items of inventory. The inventory management system updates the inventory counts in the documents in its database in response to client requests (e.g., due to an item being ordered or returned by a customer) and in response to replication data received from other regions indicating changes to the inventory counts in the documents maintained in document-based databases in those other regions. Each region is assigned a particular inventory count for an item and can, in response to the inventory count in a region getting too low, rebalance the inventory count distribution by transferring inventory count from one region to another.

Abstract: A system and method that automatically monitors product use, such as the type and amount of agricultural and/or horticultural product stored in and dispensed from a cartridge over time and/or by geographic location. Monitored data are stored in memory such as a tag on the cartridge and may be transmitted to a server for storage, aggregation, and analysis. The cartridge may be authenticated before being authorized for use for the benefit of a current user in dispensing the product. The cartridge may be refilled after confirmation of authorization codes on the cartridge and refilling equipment tags. The cartridge may be calibrated automatically based on the bulk density or other parameter of the product in the cartridge. Data may be aggregated from a plurality of cartridges automatically. As-applied data from individual cartridges may be used to verify, independent of operator input, treated area coverage and product application rate.

Abstract: An apparatus to create a virtual layout of a virtual store to emulate a physical layout of a physical store includes a memory and a processor. The processor receives a physical position and orientation associated with a physical rack located in the physical store. In response, the processor places a virtual rack at a virtual position and orientation on the virtual layout, to represent the physical position and orientation of the physical rack on the physical layout. The processor receives virtual items associated with physical items located on physical shelves of the physical rack. In response, the processor places the virtual items on virtual shelves of the virtual rack, the virtual shelves representing the physical shelves of the physical rack. The processor assigns a rack camera, which captures video that includes the physical rack, to the virtual rack and stores the virtual layout in the memory.

Abstract: Embodiments of the present invention provide methods, systems, computer program products, and apparatuses for processing package delivery exceptions. In one embodiment, a method for processing an item delivery exception for an item that is to be delivered by a carrier is provided. The method comprises receiving an exception request associated with the item; notifying a delivery vehicle driver of the exception request; receiving input indicating a unique RFID identifier, wherein the unique RFID identifier identifies an exception RFID tag attached to the item; associating the unique RFID identifier with the unique item identifier; after receiving a request to locate the item, activating an RFID reader array, wherein the RFID reader array is located at a facility associated with the carrier; and based at least in part on the detection of the item by at least one RFID reader of the RFID reader array, calculating an estimated location of the item.

Abstract: Systems and methods are described for fill modeling in hybrid last-mile deliveries. Hybrid last-mile delivery may refer to delivery of items in which a delivery vehicle meets customers at a pickup location at a specified time. Thus, instead of conventional last-mile delivery in which a delivery vehicle delivers items to an end point, such as a customer home, customers are to meet the delivery vehicle at a specified location and time to pick up items. The systems and methods described herein may include computational modeling of delivery vehicles and items to be delivered in a hybrid last-mile delivery to identify or select delivery vehicles and/or filling the delivery vehicles.

Abstract: The technology introduced here enables a customer to readily view, and securely connect with, project managers and freelancers who complete projects on behalf of the customer. The customer initially posts a project specification through a crowdsourcing platform. Project managers compete with one another by submitting proposals for the project through a freelancing platform. When a proposal is selected by the customer, the project manager corresponding to the proposal can construct a team that includes one or more freelancers who complete the technology project under the supervision of the project manager. As milestones are completed, the project manager and/or freelancer(s) can be paid from an escrow account maintained by the administrator. Additionally or alternatively, invoices for work completed by the team could be generated and delivered to the customer.

Abstract: Systems and method for mapping the location of a product in a store make use of images of products on shelf modules to identify the location of a product. In one implementation, a central computer receives a first image from a camera showing a subset of electronic shelf modules in the store and an indicia displayed thereon. The indicia on a selected one of the subset associated with a particular product or product is subsequently changed. The central computer then receives a second image from the camera showing the changed indicia such that the first and second image can be compared to identify the location of the shelf module and/or product within the store. In another implementation, coordinates of a scanner within one image are utilized to outline borders corresponding to the positioning of products in another image to map the location of a product in a store.

Abstract: This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Abstract: Automating a product offering presented in a consumer kiosk application for creating and order consumer photo-related products. An automated product offering system determines in real-time or near real-time the availability of products to be offered to the consumer and adjusts the display on the kiosk GUI to guide the user to select products that are currently available. The product availability may be specific to a location and a retailer hosting the consumer kiosk application. The kiosk GUI display is adjusted in accordance with product advertising and promotional campaigns to guide the user to generate orders for products that offer the best value to the consumer while helping retailers and kiosk operators succeed with advertising campaigns.

Abstract: A system and method for responding to incidents in an enterprise network is disclosed. The system tracks incidents by creating, in an incident Manager, incident objects for each incident. Each incident object includes details for the incidents, also known as incident characteristics. The system also creates one or more indicators of compromise (IOCs) associated with the incident characteristics for each incident. When processing a new incident or an update to an incident, the system compares IOCs associated with the incident object for the incident being processed to stored IOCs for other incidents to determine if other incidents are related to the incident being processed. In embodiments, the system can then generate tasks for responding to new incidents based on incident characteristics of and IOCs associated with the new incidents, and can regenerate tasks for responding to incidents based on updates to incident characteristics of and IOCs associated with the incidents.

Abstract: An equipment monitoring system for a merchandiser. The system includes a control system that defines a data acquisition node, a server that is in remote communication with the control system via a network providing a communication bridge between the data acquisition node and the server, and that includes a database and one or more applications having executable processing instructions, and equipment monitoring sensors that are coupled to one or more components of the merchandiser to obtain status data regarding the status of the one or more components. The equipment monitoring sensors are in communication with the data acquisition node to communicate the status data to the server. The application(s) execute processing instructions that conduct program analysis for the one or more components using the status data based on information associated with the merchandiser to determine a predictive component failure associated with the one or more components.

Abstract: Systems, computer program products, and methods are described herein for directing resource transfers based on resource distribution data. The present invention may be configured to receive resource distribution data associated with a plurality of resource distributions, where the resource distribution data includes a plurality of resources, a plurality of receiving locations, and a plurality of delivery locations. The present invention may be further configured to receive a target efficiency rate for transfer containers corresponding to a percentage of capacity of the transfer containers occupied while the transfer containers are transferring the resources.

Abstract: In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for harmonizing procurement across distribution networks with heterogeneous product availability are provided. In some embodiments, a method for automatically generating an order guide for a facility associated with an organization is provided, the method comprising: presenting items available in first, second portions of a distribution network; presenting items available via the network; creating a general order guide, and adding a first item thereto; determining that the first item is unavailable and a second item is available in the first portion; identifying substitutes, including the second item, for the first item; generate a facility order guide with items in the first portion based on the general order guide; automatically selecting the second item for the facility order guide; and associating the facility order guide and facility.

Abstract: A computer-implemented method for providing account holders with a reward based on similar rewards previously obtained through other accounts. The method includes identifying, using one or more computer processors configured to access an account database, an eligible account based on eligibility criteria, wherein the eligible account is associated with an account of an account holder stored in the account database; receiving identifying data that identifies the eligible account; associating a customer identifier with the identifying data from the eligible account; for each customer identifier, receiving confirmation data associated with a separate account of the account holder, wherein the confirmation data comprises a reward variable; validating, using one or more computer processors, the confirmation data; and rewarding the eligible account with a matching variable, wherein the matching variable is approximately equal to the reward variable.

Abstract: Systems and methods for projecting one or more trends in electronic data and generating enhanced data. A system includes a data forecasting system is in electronic communication with one or more electronic data sources via an electronic network. The data forecasting system is configured to: monitor the electronic data source(s) for data that meet one or more predetermined criteria; obtain at least a portion of the monitored data from electronic data source(s) based on the predetermined criteria; create a data set from the obtained data; derive one or more data values associated with the data set over a predetermined period according to a forward-looking term methodology; and utilize the data set and the derived value(s) over the predetermined period to derive at least one data forecast metric associated with the data set.

Abstract: A system, method, and device for medical data collection are disclosed. An example portable device includes a camera configured to record images, a memory storing the recorded images, and a display interface for displaying the images. The portable device also includes a processor configured to instruct the camera to record at least one of the images and extract medical data from the at least one image using an optical character recognition routine. The example processor is further configured to establish a connection with a clinician computer such that the portable device is recognized by the clinician computer as a keyboard. Moreover, the example processor is configured to transmit at least some of the extracted medical data to the clinician computer as a keyboard input to the clinician computer.

Abstract: The technology disclosed herein enables automation of component sourcing when designing a process system in an industrial environment. In a particular embodiment, a method includes receiving design specifications of a process system in an industrial environment via a system design application. The method further includes determining components to implement the process system from the design specifications and identifying a first subset of the components for sourcing from an external provider. The method also includes populating the first subset into a component sourcing application.

Abstract: Systems and methods for public transport infrastructure facilitated drone delivery are provided. In example embodiments, a request to deliver a package to a drop-off destination using a drone is received. Public infrastructure information is accessed. A public infrastructure terminal from which the drone delivers the package is identified based on the public infrastructure information. An instruction is communicated to transport the package to the identified public. A drone delivery route from the identified public infrastructure terminal to the drop-off destination is determined based on the public infrastructure information. An instruction to deliver the package using the drone delivery route is communicated to the drone.

Abstract: A system and method for transport management includes a back-end system controlling a display depicting real-time location tracking for drivers or commodities requiring location tracking, route status tracking for driveaway vehicles and towable unites, and freight using a location tracking device including a GPS device connected to a cloud-based infrastructure.

Abstract: A method provides predictions of key performance indicators of a product variant of a product family manufactured by a complex manufacturing system in a manufacturing process. The method provides a manufacturing operation model for each manufacturing operation type used to manufacture a product variant of the product family. Via the complex manufacturing system measured contributions to key performance indicators, process context data and process execution data of manufacturing operations, are provided. The model parameters of the provided manufacturing operation models are learned automatically based on collected process context data, collected process execution data, and measured contributions to key performance indicators, to update the manufacturing operation models.

Abstract: The system, device, process and method of measuring food, food consumption and waste with image recognition and sensor technology is presented to empower cafeterias, processors, quick service restaurants, and other institutions and locations to reduce food waste. Using kitchen and consumer data, the system allows food providers to characterize key food properties, optimize portion sizing, ingredient combinations, and meal preparation, to maximize profits and minimize excess. The current system, process and method optimize the food chain uses analytics and prediction insights. Gathering data through the use of a sensor package (typically including a camera system), and/or smartphone application, a digital platform is then used to give insights to institutions over time. This feedback includes food supplier changes, quality reports, preparation changes, portion sizing, ingredient usage, and customer feedback.

Abstract: A weight sensing cooler assembly includes a cooler that is comprised of a thermally insulating material for storing cooled beverages. A scale is movably integrated into the cooler for measuring the weight of the cooler. Moreover, the scale compares the weight of the cooler against a pre-determined baseline weight to determine the number of cooled beverages in the cooler. A display unit is coupled to the cooler wherein the display unit is configured to be visible to a user. The display unit is in electrical communication with the scale thereby facilitating the display unit to display a visual representation of the number of the cooled beverages in the cooler. In this way the display unit can communicate the number of cooled beverages to the user.

Abstract: Methods, apparatuses, and systems associated with inventory management are described. Examples can include receiving at a processor first signaling from a first sensor device configured to monitor the interior of a first enclosure and receiving at the processor second signaling from a second sensor device configured to monitor the interior of a second enclosure. Examples can include writing from the processor to a storage device coupled to the processor data that is based at least in part on a combination of the first and second signaling, identifying a quantity or amount of at least one item in the first enclosure and at least one item in the second enclosure, and transmitting third signaling when the quantity or amount of the at least one item in the first enclosure or the at least one item in the second enclosure is less than a threshold value.

Abstract: Techniques described herein are directed to intelligently identifying items for resale based on digital records of past purchases. A computing system of a payment processing service can analyze digital record(s) of a user that are representative of previous purchase(s) of the user. Based at least partly on analyzing the digital record(s), an item previously purchased by the user can be identified as a candidate for resale to another user. The computing system can monitor marketplace(s), and can determine, based at least partly on monitoring the marketplace(s), item information for the item. The computing system can create, based at least partly on the item information, a listing for an ecommerce channel that enables the user to sell the item. The listing can include an actuation mechanism that enables the other user to purchase the item, a transaction for which can be processed by the payment processing service.

Abstract: Systems and method are provided for managing inventory by determining grading returned products. One method includes, generating a hierarchical model based on the return product identifier, the hierarchical model comprising a plurality of data structures; and generating an agent configured to traverse the plurality of data structures of the hierarchical model. The method may further include determining a price of the product based on a product condition; modifying the database to assign the price to the return product identifier; transmitting a notification, to the user device, to resell the product at the determined price; and providing, for presentation via the user device, a user interface that includes the notification.

Abstract: Disclosed are systems and methods for identifying an available product for an unavailable product to minimize a deviation or distance from an original planned pick path. A computer can transmit instructions corresponding to a path through a location where products are stored to collect a plurality of products stored at locations along the path. In response to receiving a notification for a particular product that the particular product is not at the location where it is stored, the computer can modify the path to include a location of a substitute product for the particular product. The computer can identify a substitute product for the particular product based on a distance from a location of the one more available products to a location along the path and determine a revised path with the substitute product. The path can be revised to include the location for the available product.