Walmart Apollo, LLC

Deepak R Deshpande

Rohit Jain

Prakash Seetharaman

Mingang Fu

Vidyanand Krishnan

Pratosh Deepak Rajkhowa

Devadas Pattathil

Austin Lee Smith

Ameya Ajay Shendre

Michael Gilbert Ebener

Shekhar Gupta

Arnon Katz

Amritayan Nayak

Pratosh D Rajkhowa

Madhavan Kandhadai Vasantham

Pavan Kumar

Pushkar Raj Pande

Syed Aman

Sneha Narahalli Balasubramanya

Anurag Gupta

Arun Prasad Nagarathinam

Pavan Kumar Raichur Rajoli

Puneet Srivastava

Srinivasan Venkatesan

Chika Ugboh

Dinoop Dayanand

Vikram Bhogayta

Nitin Agrawal

Shanmuga Sundaram

Kumar Malyala

Felipe Duarte

Roberto Moura

Sneha Narahalli

Hagit Katzenelson

Sergey Gavrilov

Deyi Zhang

A system including one or more processors and one or more non-transitory storage media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving an order list for delivery at a delivery address; determining an estimated order collection time; continuously monitoring, in real-time, a respective location of each delivery driver of one or more delivery drivers of at least one delivery service by receiving the respective location of each delivery driver of the one or more delivery drivers from a respective delivery driver electronic device of each delivery driver; and instructing a first delivery driver of the one or more delivery drivers to pick up one or more items in the order list and deliver the one or more items to the delivery address. Other embodiments are disclosed herein.

Systems and methods for automatically invoking a delivery request for an in- progress order

This application relates generally to third party carrier management by a shipper of items. These items may be ordered and shipped by the shipper to a distribution center with final delivery performed by the third party carrier. In an embodiment, a system includes at least one processor operatively coupled with a datastore, the at least one processor configured to: send a bid inquiry to a first carrier device and a second carrier device; receive first bid information responsive to the bid inquiry from the first carrier device; receive second bid information responsive to the bid inquiry from the second carrier device; determine a common delivery condition set of the first bid information and the second bid information; and select the first carrier device over the second carrier device based on the common delivery condition set of the first bid information and the second bid information.

Third party carrier 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.

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

Horizontally-scalable systems and methods for scheduling and optimizing deliveries are described herein. At least one scheduler is configured to receive a request to schedule a delivery for an origination location. The request includes a desired time slot. The request is compared to a persistent delivery snapshot for the origination location to determine availability of the desired time slot. An interim delivery snapshot including the requested delivery is generated when the persistent delivery snapshot has an available time slot corresponding to the desired time slot. At least one optimizer is configured to receive the interim delivery snapshot and generate an updated persistent delivery snapshot by applying an optimization process to the interim delivery snapshot.

Systems and methods for combinatorial resource optimization

Systems and methods including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising: determining at least one fleet delivery route for delivery of one or more items of one or more orders to one or more locations using a vehicle fleet; dynamically shuffling the at least one fleet delivery route by at least evaluating a cost differential; when the cost differential satisfies a threshold: removing the first order from the source route; inserting the first order into the first other delivery route; and communicating the first order to a first other deliverer associated with the first other delivery route. Additional embodiments are disclosed herein.

Systems and methods for optimizing delivery routes using fleet vehicles and third-party deliverers

Systems and methods for rush order fulfillment optimization

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

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 from a user; determining, using a regression analysis, an estimated order collection time for a collection of the one or more items of the order list by at least one collector; continuously monitoring a respective location of each respective delivery driver; continuously determining a respective estimated order pickup time for each respective delivery driver; and instructing the first delivery driver of the one or more delivery drivers to pick up the one or more items and deliver the one or more items to the delivery address. Other embodiments are disclosed herein.

Systems and methods for automatically invoking a delivery request for an in-progress order

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

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 plurality of website orders on a website of an online retailer for delivery of a plurality of products; determining at least one fleet delivery route for delivery of the plurality of products of the plurality of website orders to a plurality of locations using a vehicle fleet of the online retailer; dynamically shuffling the at least one fleet delivery route, wherein dynamically shuffling the at least one fleet delivery route comprises: selecting a source route from the at least one fleet delivery route; selecting a first order of the plurality of web site orders from the source route, the first order scheduled to be delivered to a first location of the plurality of locations; selecting a destination route from (1) the at least one fleet delivery route and (2) one or more third-party delivery routes; evaluating a cost differential of removing the first order of the plurality of orders from the source route, as selected; and inserting the first order into a first third-party delivery route of the one or more third-party delivery routes when the cost differential of (1) removing the first order from the source route and (2) inserting the first order into the first third-party delivery route satisfies a predetermined cost differential level; and communicating the first order to a first third-party deliverer associated with the first third-party delivery route for delivery at the first location when the cost differential of (1) removing the first order from the source route and (2) inserting the first order into the first third-party delivery route satisfies the predetermined cost differential level. Additional embodiments are disclosed 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

Systems and methods for optimizing delivery vehicle resources (e.g. a plurality of vehicles) are described herein. Available time slots for the plurality of vehicles are determined and presented to a user. In response to receiving a delivery order indicating a selected time slot, the delivery order is assigned to a vehicle from the plurality of vehicles based on a time slot indicated in the delivery order and a set of delivery parameters. A delivery route is calculated for each vehicle having a delivery order based on the set of delivery parameters. An optimized delivery route is calculated for each vehicle having a delivery order based on the set of delivery parameters.

A system is provided and generally includes a server (e.g., application server), an associate computing device, and a client computing device. The server can receive a user arrival notification that indicates a user has arrived to pick up purchased goods. The server can transmit a scan initiation request to a remote terminal that causes the remote terminal to scan at least one network. The server can receive scan data for the scanned network from the remote terminal indicating, for example, a signal strength of that network. The server can determine a current wait time based on the received scan data for the scanned network, and can transmit the current wait time to the remote terminal.

Growing community of inventors

San Jose, CA, United States of America

Deepak R Deshpande