System and method for advanced inventory management using deep neural networks

a deep neural network and inventory management technology, applied in computing models, instruments, biological models, etc., can solve problems such as system lack of tools to make sense of context data, lack of broad set of context, etc., and achieve optimal inventory levels and optimize organizational operations.

Inactive Publication Date: 2021-12-09
ROCKSPOON INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

What these system often lack a broad set of context data that facilitates a holistic approach to inventory management where lowest cost may not be the driving factor making inventory adjustments.
Furthermore, these systems often lack the tools to make sense of said context data.

Method used

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  • System and method for advanced inventory management using deep neural networks
  • System and method for advanced inventory management using deep neural networks
  • System and method for advanced inventory management using deep neural networks

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Embodiment Construction

[0026]The inventor has conceived, and reduced to practice, a system and method for advanced inventory management using deep neural networks. The system may be disposed in a business establishment or it may be a cloud-based network comprising a one or more databases to store and retrieve including patron data, recipe data, business data, and inventory data, mobile and compute devices, staff and suppliers, one or more gateways for vendors and staff to interface with other third-party business, and an inventory analysis server. Taken together or in part, optimize organizational operations by predicting and optimizing key inventory decisions using artificial intelligence or other computerized methods around inventory management based upon a large amount of variables associated with the enterprise.

[0027]While the use case of a restaurant business owner optimizing their business operations is a primary example used herein, it is important to note that the invention is not so limited, and ...

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PUM

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Abstract

A system and method for advanced inventory management using deep neural networks. The system may be disposed in a business establishment or it may be a cloud-based network comprising a one or more databases to store and retrieve including patron data, recipe data, business data, and inventory data, mobile and compute devices, staff and suppliers, one or more gateways for vendors and staff to interface with other third-party business, and an inventory analysis server. Taken together or in part, optimize organizational operations by predicting and optimizing key inventory decisions using artificial intelligence or other computerized methods around inventory management based upon a large amount of variables associated with the enterprise.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]Priority is claimed in the application data sheet to the following patents or patent applications, the entire written description, including figures, of each of which is expressly incorporated herein by reference in its entirety:[0002]63 / 162,368[0003]Ser. No. 17 / 153,213[0004]63 / 005,899[0005]Ser. No. 16 / 993,488[0006]62 / 956,289BACKGROUNDField of the Art[0007]The disclosure relates to the field of computer-based optimization, predictive systems, and artificial intelligence systems, and more particularly to the field of computerized predictive and optimization systems using artificial intelligence as related to organizational operations for inventory management of organizational establishments.Discussion of the State of the Art[0008]Business enterprises often use an inventory management system to track current inventory levels and to be aware of when inventory items should be ordered. The existing systems often track inventory and purchasing ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q10/08G06Q10/06G06Q50/12
CPCG06Q10/087G06Q50/12G06Q10/063118G06Q40/125G06Q10/1091G06Q10/1053G06Q10/04G06Q10/06311G06Q20/202G06Q20/203G06Q20/322G06Q20/4016G06Q20/102G06N20/00G06N3/044G06Q40/03G06N5/04G06Q20/34
Inventor MIMASSI, NAGIB GEORGES
Owner ROCKSPOON INC
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