Systems and methods for outbound order optimization for determining a target delivery

Patent metadata

Field	Value
Publication number	US-2025245605-A1
Application number	US-202418429108-A
Country	US
Kind code	A1
Filing date	Jan 31, 2024
Priority date	Jan 31, 2024
Publication date	Jul 31, 2025
Grant date	—

Abstract

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 input information corresponding to allocating one or more containers for delivery from a distribution center to a store during a first time period, the one or more containers including one or more products; processing the input information to determine distribution center constraint information and store constraint information; generating a delivery schedule for the one or more containers from the distribution center to the store over one or more periods of time based on the distribution center constraint information and the store constraint information, wherein each of the one or more periods of time correspond to a day; validating the delivery schedule to determine a target delivery schedule for the one or more containers from the distribution center to the store during the one or more periods of time; and transmitting the target delivery schedule to the distribution center to enable the distribution center to allocate resources to perform the target delivery schedule. Other embodiments are disclosed herein.

First claim

1 . A system comprising:
one or more processors; and one or more non-transitory computer-readable media storing computing instructions that, when run on the one or more processors, cause the one or more processors to perform:
receiving input information corresponding to allocating one or more containers for delivery from a distribution center to a store during a first time period, the one or more containers including one or more products;
processing the input information to determine distribution center constraint information and store constraint information;
generating a delivery schedule for the one or more containers from the distribution center to the store over one or more periods of time based on the distribution center constraint information and the store constraint information, wherein each of the one or more periods of time correspond to a day;
validating the delivery schedule to determine a target delivery schedule for the one or more containers from the distribution center to the store during the one or more periods of time; and
transmitting the target delivery schedule to the distribution center to enable the distribution center to allocate resources to perform the target delivery schedule.

2 . The system of claim 1 , wherein the input information includes configuration information, container information, store information, and distribution center information.

3 . The system of claim 1 , wherein processing the input information to determine the distribution center constraint information and the store constraint information further comprises:
analyzing the distribution center information to determine a distribution center capacity measurement; and analyze the store constraint information to determine a store requirement measurement, the store requirement measurement including a minimum requirement value and a maximum requirement value.

4 . The system of claim 3 , wherein the distribution center capacity measurement includes:
determining labor capacity for each of the one or more periods of time; determining inventory constraints of the distribution center; and determining capping information and pull-forward information for the distribution center, wherein the capping information and the pull-forward information correspond to an ability of the distribution center to increase or decrease delivery of the one or more containers.

5 . The system of claim 1 , wherein validating the delivery schedule to determine the target delivery schedule for the one or more containers from the distribution center to the store during the one or more periods of time further comprises comparing the delivery schedule with capping information and pull-forward information for the distribution center to ensure the distribution center has enough resources to perform the delivery schedule.

6 . The system of claim 1 , further comprising:
receiving the target delivery schedule; determining a daily schedule for the distribution center based on the target delivery schedule; and receiving a listing of orders that have been processed.

7 . The system of claim 6 , further comprising:
determining if the store is a capping store, a pull forward store, or a skip store based on the daily schedule for the distribution center; and generating an item level listing of capping items and pull forward items based on a decision ratio.

8 . The system of claim 7 , further comprising:
determining the store is a capping store; and analyzing the item level listing of the capping items for the daily schedule to determine a number of items that are to be removed from the daily schedule.

9 . The system of claim 7 , further comprising:
determining the store is a pull forward store; and analyzing the item level listing of the pull-forward items for the daily schedule to determine a number of items that are to be added to the daily schedule.

10 . The system of claim 7 , further comprising updating the target delivery schedule based on the item level listing of the capping items and the pull forward items to allocate resources to perform the target delivery schedule.

11 . A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media, the method comprising:
receiving input information corresponding to allocating one or more containers for delivery from a distribution center to a store during a first time period, the one or more containers including one or more products; processing the input information to determine distribution center constraint information and store constraint information; generating a delivery schedule for the one or more containers from the distribution center to the store over one or more periods of time based on the distribution center constraint information and the store constraint information, wherein each of the one or more periods of time correspond to a day; validating the delivery schedule to determine a target delivery schedule for the one or more containers from the distribution center to the store during the one or more periods of time; and transmitting the target delivery schedule to the distribution center to enable the distribution center to allocate resources to perform the target delivery schedule.

12 . The method of claim 11 , wherein the input information includes configuration information, container information, store information, and distribution center information.

13 . The method of claim 11 , wherein processing the input information to determine the distribution center constraint information and the store constraint information further comprises:
analyzing the distribution center information to determine a distribution center capacity measurement; and analyze the store constraint information to determine a store requirement measurement, the store requirement measurement including a minimum requirement value and a maximum requirement value.

14 . The method of claim 13 , wherein the distribution center capacity measurement includes:
determining labor capacity for each of the one or more periods of time; determining inventory constraints of the distribution center; and determining capping information and pull-forward information for the distribution center, wherein the capping information and the pull-forward information correspond to an ability of the distribution center to increase or decrease delivery of the one or more containers.

15 . The method of claim 11 , wherein validating the delivery schedule to determine the target delivery schedule for the one or more containers from the distribution center to the store during the one or more periods of time further comprises comparing the delivery schedule with capping information and pull-forward information for the distribution center to ensure the distribution center has enough resources to perform the delivery schedule.

16 . The method of claim 11 , further comprising:
receiving the target delivery schedule; determining a daily schedule for the distribution center based on the target delivery schedule; and receiving a listing of orders that have been processed.

17 . The method of claim 16 , further comprising:
determining if the store is a capping store, a pull forward store, or a skip store based on the daily schedule for the distribution center; and generating an item level listing of capping items and pull forward items based on a decision ratio.

18 . The method of claim 17 , further comprising:
determining the store is a cap

Assignees

• Walmart Apollo Llc

Inventors

• Zuniga Vazquez Daniel Alberto
• Chauhan Darshan Rajesh
• Haider Zulqarnain
• Wang Yuan
• Huang Jing
• Fu Mingang
• Moningi Raghu Ram
• Jain Ishu
• Kopparam Nagesh
• Swaminathan Veena
• Dash Sriyansa Sunand
• Maurya Sarvesh Kumar
• Swain Sanit Kumar
• Arora Akshay

Classifications

• G06Q10/083 Primary

  Shipping · CPC title

• G06Q10/1097

  using calendar-based scheduling for task assignment · CPC title

• G06Q10/06315 Primary

  Needs-based resource requirements planning or analysis · CPC title