Walmart Apollo, LLC

Shekhar Gupta

Ameya Ajay Shendre

Vidyanand Krishnan

Pratosh Deepak Rajkhowa

Pavan Kumar

Pavan Kumar Raichur Rajoli

Pratosh D Rajkhowa

Deepak R Deshpande

Austin Lee Smith

Rohit Jain

Michael Gilbert Ebener

Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.

Systems and methods for dual optimization of pick walk and tote fill rates for order picking

A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Systems and methods for rush order fulfilment optimization

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 request for an order comprising one or more items; determining when the order is eligible for batch picking by finding one or more other orders comprising at least one of the one or more items; and when the order is determined to be eligible for batch picking with the one or more other orders: creating one or more clusters by clustering together (1) the at least one of the one or more items of the order and (2) the at least one of the one or more items of the one or more other orders; estimating, for each respective cluster of the one or more clusters, an estimated fulfillment time interval to make ready the order; and assigning each respective cluster of the one or more clusters to at least one respective picker of one or more respective pickers. Other embodiments are disclosed herein.

Systems to fulfill a picked sales order and related methods therefor

Systems and methods for rush order fulfillment optimization

A number of embodiments can include a system. The system can include one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions. The computing instructions can be configured to run on the one or more processors and perform: receiving a request for a picked order that can comprise: a conveyance type; and one or more goods; estimating a fulfillment time interval to make ready the one or more goods of the picked order by: evaluating whether the picked order is able to be batched in a picked order batch; and when the picked order is able to be batched, evaluating the conveyance type to determine a conveyance type average fulfilment time interval; determining, using the fulfillment time interval, as estimated, and the conveyance type average fulfilment time interval, a receivable clock time at which to promise the one or more goods for receipt by a receiver; and communicating the receivable clock time to an electronic device of the receiver. Other embodiments are also disclosed herein.

A number of embodiments can include a system. The system can include one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions. The computing instructions can be configured to run on the one or more processors and perform: receiving, from a customer electronic device of a customer, a request for an order comprising one or more goods; determining an estimated fulfillment time for the order; promising the one or more goods of the order for receipt by the customer at a receivable clock time based on the estimated fulfillment time; after promising the one or more goods of the order for receipt by the customer at the receivable clock time, detecting a delay condition associated with making ready at least a portion of the one or more goods of the order; in response to detecting the delay condition, waiting a predetermined amount of time comprising a percentage of a previous time for performing a delayed activity associated with the delay condition; and after waiting the predetermined amount of time, communicating a notification of the delay condition to a receiving party. Other embodiments are described herein.

A system for rush order fulfillment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Some embodiments include a system. The system can include one or more processors and one or more non-transitory memory storage devices storing computer instructions configured to run on the processor(s) and perform acts including: receiving a request for a picked sales order; estimating an estimated fulfillment time interval to make ready the good(s) of the picked sales order for receipt by the customer, wherein estimating the estimated fulfillment time interval to make ready the good(s) of the picked sales order for receipt by the customer comprises evaluating whether the picked sales order is able to be batched in a picked sales order batch using a k-means clustering to minimize a pick walk of the picked sales order batch; determining a receivable clock time at which to promise the good(s) for receipt by the customer; and communicating the receivable clock time to the customer. Other embodiments of related systems and methods are also provided.

Some embodiments include a system. The system can include one or more processors and one or more non-transitory memory storage devices storing computer instructions configured to run on the processor(s) and perform acts including: receiving a request for a picked sales order; promising the good(s) of the picked sales order for receipt by the customer at a receivable clock time; after promising the good(s) of the picked sales order for receipt by the customer at the receivable clock time, detecting a delay condition associated with making ready the one or more goods of the picked sales order for receipt by the customer at the receivable clock time; and communicating a notification of the delay condition to a receiving party. Other embodiments of related systems and methods are also provided.

Some embodiments include a system. The system can include one or more processors and one or more non-transitory memory storage devices storing computer instructions configured to run on the processor(s) and perform acts including: receiving a request for a picked sales order; estimating an estimated fulfillment time interval to make ready the good(s) of the picked sales order for receipt by the customer, wherein estimating the estimated fulfillment time interval to make ready the good(s) of the picked sales order for receipt by the customer includes evaluating an availability of one or more pickers to pick the good(s); determining a receivable clock time at which to promise the good(s) for receipt by the customer; and communicating the receivable clock time to the customer. Other embodiments of related systems and methods are also provided.

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Bengaluru, India

Shekhar Gupta