Walmart Apollo, LLC

Wal-mart Stores, Inc.

Pratosh Deepak Rajkhowa

Ameya Ajay Shendre

Vidyanand Krishnan

Shekhar Gupta

Pavan Kumar Raichur Rajoli

Deepak R Deshpande

Ashwin Kumar

Austin Lee Smith

Rohit Jain

Michael Gilbert Ebener

Pavan Kumar

Puneet Srivastava

Chika Ugboh

R R Pavan Kumar

Arnon Katz

Sneha Narahalli Balasubramanya

Dinoop Dayanand

Sairanjit Polepeddi

Sergey Gavrilov

Hagit Katzenelson

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

This application relates to apparatus and methods for batching orders for delivery. In some examples, a computing device may obtain order data identifying at least a first order and a second order. The computing device may determine whether the first order can be delivered to a first delivery address and the second order can be delivered to a second delivery address within a delivery time window. Based on the determination, the computing device may batch the first order and the second order to generate a batched order. In some examples, the computing device determines if the delivery vehicle can store the items for the first order and the second order to determine whether the orders may be batched. The computing device may generate assignment data identifying an assignment of the batched order to a delivery vehicle, and may transmit the assignment data to another computing device.

Systems, non-transitory computer readable mediums, and methods for grocery order batching and customer experience

This application relates to apparatus and methods for determining delivery prices for, and the assigning of, order deliveries. In some examples, a computing device may obtain order data identifying an order for delivery. The computing device may transmit a request to deliver the order for a first price to a first driver. The computing device may determine that a response to the request has not been received, and obtain risk values corresponding to identified delivery request acceptance risk factors. The risk factors may include location based risk factors, delivery time risk factors, driver supply risk factors, and time deadline risk factors. The computing device may determine a second price based on the first price and the risk values by executing one or more algorithms. The computing device may then transmit another request to deliver the order for the second price to a second driver.

Method and apparatus for delivery order fee determination and assignment

In some examples, a system may include a memory resource storing instructions, and one or more processors. In various examples the one or more processors may be configured to execute the instructions to receive data indicating that an order has been dropped by a driver of a first computing system. The order may include a set of order parameters that may include a first order parameter and a second order parameter. Additionally, the one or more processors may be configured to execute the instructions to determine a remaining delivery time period based at least a time when the order was dropped and the first order parameter. Moreover, the one or more processors may be configured to execute the instructions to obtain profile data of a set of drivers that includes availability data indicating the corresponding driver is available for assignment. Furthermore, the one or more processors may be configured to execute the instructions to, based on the set of order parameters, the remaining delivery time period and the profile data, implement a set of processes that identify, from the set of drivers, one or more candidate drivers for the order.

System and method of delivery assignment

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.

This application relates to apparatus and methods for determining, assigning, and displaying order deliveries. In some examples, a computing device may obtain order data identifying at least one order for delivery during a timeslot. The computing device may transmit, to a driver's computing device, a request for deliveries for a first price during the timeslot. The computing device may receive, from the driver's computing device, a response accepting the request. The computing device may then assign the driver to the order, and determine a delivery status based on the assignment of the first driver to the first order. The delivery status may identify, for example, that the order has been assigned to the driver, an estimated delivery time, the number of items being delivered, the weight of the items, and a route taken by the driver. The computing device may also display the delivery status.

Method and apparatus for delivery order dispatch and assignment

A system and method of driver selection is disclosed. At least one order including a delivery window is received and a first delivery assignment process is implemented during a first time period. The first time period occurs a predetermined time before the delivery window. An indication regarding the first delivery assignment process is received and a second delivery assignment process is implemented during a second time period when the indication regarding the first delivery assignment process indicates the first delivery assignment process failed to place the at least one order with a driver. The second time period is subsequent to the first time period. An indication regarding the second delivery assignment process is received.

A method including receiving a plurality of orders comprising one or more items, wherein the server computing device is configured to communicate with a plurality of user devices of a plurality of users associated with a plurality of retail stores. The method also can include batching the plurality of orders into different commodities, and generating a plurality of rebatched orders according to an optimization algorithm. The method additionally can include sorting the one or more items within the plurality of rebatched orders by sequence numbers based on at least a respective volume of each respective one of a number of containers. The method further can include transmitting the one or more items within the plurality of rebatched orders to the plurality of user devices for filling the each respective one of the number of containers with the one or more items within the plurality of rebatched orders. Other embodiments are disclosed herein.

System for improving in-store picking performance and experience by optimizing tote-fill and order batching of items in retail store and method of using same

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 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.

Systems and methods for rush order fulfilment optimization

Systems and methods are described which utilize improved scheduling techniques. An electronic scheduling platform enables customers to view and select pick-up options for scheduling orders to be retrieved at a location. Each pick-up option is associated with a price and a queue time. An average service time and an average inter-arrival time is determined for the location. A queuing procedure is executed which calculates queue times and prices for the pick-up options based, at least in part, on the average service time and the average inter-arrival time. The queuing procedure dynamically updates in real-time the calculated queue times and prices for the pick-up options. Instructions are generated for providing an interface that displays at least a portion of the pick-up options with the updated queue times and prices.

Systems and methods for implementing incentive-based demand distribution techniques using queue time estimates

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of orders for items for sale at a store, determining a picking start time, a picking end time, and an order completion time for each order based on at least one of: (1) availabilities of one or more associates of the store to collect the items of the order at the store or (2) a dynamic pick time estimation for the order, assigning the order to a first associate of the store for collection of the items of the order at the store, and automatically adjusting, in real-time, the picking start time and the picking end time without adjusting the order completion time for each order.

Systems and methods for real-time order delay management

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.

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Bengaluru, India

Pratosh Deepak Rajkhowa