Walmart Apollo, LLC

Jesse Lee Eaton, Jr

Greg A Bryan

Cristy Crane Brooks

David Blair Brightwell

Benjamin D Enssle

Matthew Allen Jones

Jeffrey Kerbs

Sarah L Im

Gregory D Dixon

Ryan Kee

Ashley D Taylor

Robert W Utting, Jr

Robert W Utting

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.

System and method for perpetual inventory management

A perpetual inventory (PI) value associated with the selected product and a last PI adjustment time that indicates when the retail store last adjusted the PI value are received. The PI value of the selected product is compared to the back room quantity value of the selected product, and a time when the back room quantity value becomes greater than the PI value for the selected product is determined. An adjustment to the PI of the selected product is blocked when the PI adjustment time is after the time. When the back room quantity value is greater than the PI value and the adjustment to the PI value is unblocked, the PI value is adjusted to be the back room quantity value.

An electronic indication of a nil pick is received. Item information associated with the desired product, sales data concerning the desired product, supply chain information associated with the desired product, and a perpetual inventory (PI) value of the desired product are stored. An adjustment to the PI of the desired product is blocked when a predetermined event occurs at the retail store, or when information that contradicts the validity of the nil pick is received from the retail store. When the adjustment to the PI of the desired product is not blocked, an amount of the adjustment is determined based upon one or more of: the item information associated with the product, the sales data concerning the product, and the supply chain information associated with the desired product.

System and method for management of perpetual inventory values associated with nil picks

Examples provide a fruit ripening rack having a plurality of chambers for on-site produce ripening at a retail location. A controller component generates predicted demand for ripened fruit on a selected date at a selected location based on transaction history data and/or seasonal demand. The controller component calculates the quantity of fruit based on the predicted demand. The controller component determines conditions within each chamber to accelerate ripening of the calculated quantity of one or more types of fruit to one or more selected levels of ripeness on the selected date. The conditions include amount of ethylene gas in each chamber, length of exposure to the ethylene gas, temperature inside the chamber and/or humidity level inside the chamber. The fruit ripening rack controls internal conditions within each chamber to provide variable fruit ripening in accordance with per-chamber configurations to satisfy predicted daily demand at the selected location.

Predictive demand-based produce ripening system

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.

System for crowdsourced cold-chain compliant item selection

Examples provide a system for dynamic allocation of supplemental space to items based on predicted variable demand. Item data is analyzed using a set of item selection criteria to identify an item located within a predetermined distance of available flex-space associated with a topstock shelf which has a predicted time-supply predicted to be less than a threshold time-supply during a predicted time-period. A portion of flex-space sufficient to increase the time-supply enough to meet the predicted increase in demand is identified. Additional instances of the item are assigned to the portion of the flex-space during the predetermined time-period. When an expiration date for the flex-space assignment occurs, remaining instances of the item in the portion of the flex-space are removed. The portion of the flex-space is assigned to a next item predicted to experience temporary context-dependent increased demand exceeding time-supply and/or capacity of permanent display space of the item.

Dynamic flex-space allocation system

Systems, methods, and machine readable media are provided for image-based replenishment. In exemplary embodiments, a system periodically obtains an image from one or more imaging devices in a facility of a selected rack of items among a group of racks. The system determines, based on the image, a first volume indicative of a volume of items on the rack. The system retrieves a sales forecast for the items on the selected rack and determines an expected second volume of items on the rack based on the sales forecast for the item. The system then determines whether the first volume is within a predetermined threshold of the second volume, and transmits instructions based on whether or not the first volume is determined to be within the predetermined threshold of the second volume.

System and method for image-based replenishment

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.

Methods and apparatuses are provided for use in managing product inventory, comprising: a control circuit; a memory storing instructions to cause the control circuit to perform: obtain a reference on-hand quantity value; determine an estimated on-hand adjustment value corresponding to a predicted error between the reference on-hand quantity value and a predicted actual on-hand value; receive a retail store supplied on-hand adjustment value; set an on-hand adjustment value to the retail store supplied on-hand adjustment value when the retail store supplied on-hand adjustment value is within an on-hand variation threshold; modify the estimated on-hand adjustment value as a function of a difference between the retail store supplied on-hand adjustment value and the estimated on-hand adjustment value when the retail store supplied on-hand adjustment value is not within the on-hand variation threshold, and set the on-hand adjustment value to the modified estimated on-hand adjustment value.

Apparatus and method of maintaining accurate perpetual inventory information

Systems, devices, and methods include an electronic scanning device, an electronic database, and an electronic inventory management device for analyzing products at a retail store in order to detect products at the retail store that are associated with mis-shipments and to adjust perpetual inventory at the retail store in view of a detected mis-shipment.

Systems and methods for identifying and remedying product mis-shipments to retail stores

A perpetual inventory (PI) value associated with the selected product and a last PI adjustment time that indicates when the retail store last adjusted the PI value are received. The PI value of the selected product is compared to the back room quantity value of the selected product, and a second time when the back room quantity value becomes greater than the PI value for the selected product is determined. An adjustment to the PI of the selected product is blocked when an indication of upcoming inventory adjustment for the selected product is received. An adjustment to the PI value of the selected product is also blocked when the PI adjustment time is after the second time. When the back room quantity value is greater than the PI value and the adjustment to the PI value is unblocked, the PI value is adjusted to be the back room quantity value.

Examples provide a perpetual inventory (PI) reconciliation system. A PI controller analyzes item data using a set of PI purge criteria and a set of weighted prioritization variables to select a highest priority seasonal inventory item having a positive PI value a per-item threshold time after an end-of-season (EOS) date for PI purge analysis. A PI controller determines if the selected item is a high confidence item or a low confidence item based on a set of confidence rules and item data. If the selected item is a high confidence item, a PI purge component sets an inventory value for the selected item to zero to eliminate the positive PI. If the selected item is a low confidence item, a verification component verifies the number of physical instances of the selected item. The inventory value is updated using the verified number of physical instances.

Growing community of inventors

Springdale, AR, United States of America

Jesse Lee Eaton, Jr