Lineage Logistics, LLC

Cloud 9 Perception, Inc.

Daniel Thomas Wintz

Elliott Gerard Wolf

Daniël Walet

Caitlin Voegele

Chloe Mawer

Julia Long

Michael Lingzhi Li

Alexander Ming Zhang

Alexander James Woolf

Jesse Crossno

Bryan Kaye

John Richardson Crawford

Sudarsan Thattai

Gabriel Len West

Jesse Scott Tootell

Tiara Lee Flewelling

Zhou Daisy Fang

Maya Ileana Choudhury

Jeffrey Alvarez Rivera

Maxwell Micali

Thomas Eugene Murphy

Gabe Judson

Stef Raeymakers

Tim McMahon

Steve Hansen

Natalie Novitsky

Peter Greskoff

Haig Atikian

Ben Philipsen

Christopher Frank Eckman

James Francis Staud

Charles Inokon

Michael Buenger

Jacob Edward Thompson

Elias Macgregor Mills

Jacob Thompson

René Eekelen

Aalam Shaikh

Chris McMurrough

Natalie Novitzky

Tony Taurone

Bryan Thomas Kaye

Jesse Dylan Crossno

Disclosed are systems and methods for determining swap and replenishment opportunities in a pick area of a storage facility. A method can include receiving, by a computer system, current stock levels for bays in the pick area, identifying a subset of the bays as having a replenishment or swap opportunity based on determining that the current stock levels for the subset of the bays is less than a threshold stock level, and determining, for each bay in the subset of the bays, whether the bay has a swap opportunity or a replenishment opportunity. The method can also include determining whether each bay is a static bay based on pick area build information, which can include a pick area layout, current SKUs in the pick area, date of layout build, static location assignments for the bays, and dynamic location assignments for the bays.

Determining replenishment operations in pick areas

Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.

Automated pallet profiling

A computer-based technology is provided to optimize a warehouse space, such as warehouse racks. The technology determines a storage duration of a pallet in a warehouse, and further determines an optimal storage location for the pallet in the warehouse. For example, the technology can determine how long an inbound pallet will stay in a warehouse, and locate an optimal area of the warehouse to store the pallet. Such an optimal pallet storage area is selected to reduce labor costs in transporting the pallet in, within, and out of the warehouse and further optimize the management of multiple pallets in the warehouse as a whole. In addition, the technology can consider the size of the pallet in determining the optimal storage location in the warehouse.

Optimizing pallet location in a warehouse

Disclosed are systems and methods for determining a pick area arrangement for a storage facility. A method can include retrieving, by a computer system, historic pallet information for pallet SKUs and pick area information, determining, based on the information, a number of bays to allocate for each pallet SKU, determining, based on the information, a number of dynamic bays to allocate in the pick area, which receive pallet SKUs in high demand during a particular time, determining, based on the information, quantities of aisles to allocate as pick aisles in the pick area by simulating aisle arrangements with pallet SKUs from the historic pallet information and determining average travel times to complete pick orders having the pallet SKUs in the aisle arrangements, selecting the quantity of aisles providing a lowest average travel time, and assigning each pallet SKU from the historic pallet information to bays in the quantity of aisles.

System and methods for determining pick aisle arrangements

This specification generally discloses technology for optimizing the loading of pallets on trucks and other sorts of vehicles. A pallet loading technique includes receiving pallet information for a shipment, the pallet information describing pallets to be included in the shipment, receiving vehicle constraint information for a vehicle, the vehicle constraint information describing rules for loading pallets on the vehicle, and determining candidate solutions for loading the pallets on the vehicle, each candidate solution (i) satisfying the rules for loading pallets on the vehicle, and (ii) defining, for each pallet to be included in the shipment, a respective position and orientation of the pallet on the vehicle. At least some of the candidate solutions are evaluated, one of the candidate solutions is selected, and the vehicle is loaded according to the selected candidate solution.

Optimizing truck loading of pallets

Described are systems and methods for identifying an item in a storage facility to fulfill a pick request. The method includes receiving, by a computing system, a request for a physical item of a particular type, identifying a set of available physical items of the particular type from a plurality of physical items stored in storage locations in the storage facility, determining a score for each respective available physical item based on multiple sub-scores specific to the respective available physical item, to generate a set of scores corresponding to the set of available physical items, selecting a selected physical item from among the set based on the selected physical item having a most favorable score, identifying a selected storage location of the selected physical item, and providing instructions to cause a mechanical moving system to route the selected physical item from the selected storage location to a destination picking location.

Determining items to pick in a storage facility

Described herein are systems and methods for storing items in storage facilities. The method can include receiving, by a computing system, a request to identify a destination location for a storage item, identifying a set of available storage locations from among a plurality of storage locations, and determining a score for each respective storage location of the set of available storage locations based on multiple sub-scores specific to the respective storage location, to generate a set of scores corresponding to the set of available storage locations. The method also includes selecting a selected storage location from among the available storage locations based on the selected storage location having a most favorable score from among the set of scores corresponding to the set of available storage locations, and providing instructions to cause a mechanical moving system to route the storage item to the selected storage location.

Determining locations at which to store items in a storage facility

The subject matter of this specification can be embodied in, among other things, a method for time shifting when a cold storage facility is cooled that includes determining a thermal model of a cold storage facility, obtaining an energy cost model that describes a schedule of variable energy costs over a predetermined period of time in the future, determining an operational schedule for at least a portion of a refrigeration system based on the thermal model, the energy cost model, and a maximum allowed temperature, and powering on the portion the refrigeration system based on the operational schedule, cooling, by the powered portion of the refrigeration system to a temperature below the maximum allowed temperature, reducing power usage of the powered portion of the refrigeration system based on the operational schedule, and permitting the facility to be warmed by ambient temperatures toward the maximum allowed temperature.

Thermal control system

Methods and systems for determining a pallet build sequence include receiving a pick order request, identifying candidate pick items in a warehouse to fulfill the request, grouping the items based on aisles and generating aisle-based lists per group, and sorting each list based on location of each of the items per group from front to back of the warehouse. For each list, the method includes selecting a first item at a top of the list, adding the first item to a bottom layer of a pallet, determining an amount of weight of items from the list that can be layered on top of the first item and determining whether the first item can support the determined amount of weight. If the first item can support the determined weight, the first item can be kept in a pick sequence as the pallet's bottom layer and removed from the list.

Determining pick pallet build operations and pick sequencing

In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for routing items in a warehouse. A computing system receives a request to assign an inbound truck to a transport bay and determines an available subset of unloading paths, by removing any unloading path directed from a transport bay or inbound storage area that is currently occupied/assigned. The computing system determines an available subset of loading paths, by removing any loading path directed to a transport bay or outbound staging area that is currently occupied/assigned. The computing system identifies multiple available path combinations that each include an unloading path from the available subset of unloading paths and a loading path from the available subset of loading paths. The computing system determines a selected path combination based on the selected path combination having a most favorable score.

Assigning warehouse resources to an inbound truck to maximize warehouse throughput

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San Francisco, CA, United States of America

Daniel Thomas Wintz