IP Library Granted Patent US 12,675,482
Granted Patent B2
US 12,675,482 · App. 18/061,415 · Granted Jul 7, 2026

Raw-material-managed manufacturing system

Inventors: Charles H. Cella (Pembroke, MA); Andrew Cardno (San Diego, CA); Benjamin D. Goodman (Los Angeles, CA); Hristo Malchev (Alta Loma, CA)
Assignee: STRONG FORCE VCN PORTFOLIO 2019, LLC
G06F16/2455G05D1/0291G05D1/69G06F16/182G06F16/24537G06F16/24544G06F16/24552G06F16/2456G06F16/2462G06F16/2471G06F16/27G06F16/278G06Q10/06315G06Q10/0833G06Q10/087G06Q20/389G06Q30/0202G06Q30/0206G06V10/774H04N23/675G05B2219/49023G06Q2220/00
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Quick Facts
Patent No.
US 12,675,482
App. No.
18/061,415
Granted
Jul 7, 2026
Kind
B2
Abstract

A raw material system includes a product manufacturing demand estimation system programmed to calculate an expected demand for a product. The system includes an environment detection system configured to identify an environmental condition or event. The system includes a raw material production system programmed to estimate a raw material availability at the future point in time based on the expected demand and the environmental condition/event. The system includes a raw material requirement system programmed to calculate a required raw material amount to manufacture the product based on the expected demand and the environmental condition/event. The system includes a raw material procurement system programmed to autonomously configure a futures contract for procurement of at least a portion of the required raw material amount in response to the required raw material amount calculation exceeding the raw material availability estimation.

Claims (30)

1 . A raw material system, comprising:

a product manufacturing demand estimation system programmed to calculate an expected demand for a product at a future point in time;

an environment detection system configured to identify at least one of an environmental condition or an environmental event;

a raw material production system programmed to estimate a raw material availability at the future point in time based on the expected demand and the at least one of the environmental condition or the environmental event;

a raw material requirement system programmed to calculate a required raw material amount to manufacture the product at the future point in time based on the expected demand and on the at least one of the environmental condition or the environmental event; and

a raw material procurement system programmed to autonomously configure a futures contract for procurement of at least a portion of the required raw material amount in response to the required raw material amount calculation exceeding the raw material availability estimation.

2 . The raw material system of claim 1 , wherein the raw material production system is further programmed to estimate a probability that the raw material availability will decrease based on a rise in demand outpacing a production increase.

3 . The raw material system of claim 1 , wherein the raw material requirement system is further programmed with a demand aggregation service configured to monitor a demand response across a plurality of systems.

4 . The raw material system of claim 3 , wherein the demand aggregation service is further configured to monitor the demand response as changes in at least one of supply, price changes, customization, pricing, or advertising.

5 . The raw material system of claim 1 , further comprising a risk tolerance system configured to retrieve a pre-determined risk tolerance of an entity that procures the raw material, and wherein the raw material procurement system is further programmed to autonomously configure the futures contract based at least in part on the pre-determined risk tolerance.

6 . The raw material system of claim 1 , wherein the raw material procurement system is further configured to execute a smart contract for the futures contract.

7 . The raw material system of claim 6 , further comprising a digital wallet coupled with the raw material procurement system to enable payments associated with the smart contract.

8 . The raw material system of claim 6 , wherein the raw material procurement system is further configured with a robotic process automation (RPA) service to facilitate automation of producing and validating the smart contract.

9 . The raw material system of claim 8 , wherein the RPA service is configured to automate processes based on observations of human interactions with hardware elements and with software elements.

10 . The raw material system of claim 6 , wherein the raw material procurement system is further configured to configure the smart contract to interact with a distribution system to secure at least one of delivery, storage, or handling of the raw materials through the distribution system.

11 . The raw material system of claim 10 , wherein the raw material procurement system is further configured to configured the smart contract to interact with a logistics reservations futures system to secure future logistics services.

12 . The raw material system of claim 11 , wherein the raw material procurement system is further configured to configure the smart contract to secure at least one of port docking reservations, shipping container reservations, trucking reservations, warehouse space rental, or canal passage rental as the future logistics services.

13 . The raw material system of claim 1 , wherein the raw materials include at least one of copper, steel, iron, or lithium.

14 . A computerized method for raw material procurement, the computerized method comprising:

calculating an expected demand for a product at a future point in time;

identifying at least one of an environmental condition or an environmental event;

estimating a raw material availability of a raw material at the future point in time based on the expected demand and the at least one of the environmental condition or the environmental event;

calculating a required raw material amount of the raw material to manufacture the product at the future point in time based on the expected demand and on the at least one of the environmental condition or the environmental event; and

autonomously configuring a futures contract for procurement of at least a portion of the required raw material amount in response to the required raw material amount calculation exceeding the raw material availability estimation.

15 . The computerized method of claim 14 , further comprising estimating a probability that the raw material availability will decrease based on a rise in demand outpacing a production increase.

16 . The computerized method of claim 14 , further comprising monitoring a demand response across a plurality of systems.

17 . The computerized method of claim 16 , wherein monitoring the demand response further includes to monitoring the demand response as changes in at least one of supply, price changes, customization, pricing, or advertising.

18 . The computerized method of claim 14 , further comprising retrieving a pre-determined risk tolerance of an entity that procures the raw material, and wherein autonomously configuring the futures contract is based at least in part on the pre-determined risk tolerance.

19 . The computerized method of claim 14 , further comprising executing a smart contract for the futures contract.

20 . The computerized method of claim 19 , further comprising engaging a digital wallet to enable payments associated with the smart contract.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2022
From: CELLA, CHARLES H.; CARDNO, ANDREW; GOODMAN, BENJAMIN D.; MALCHEV, HRISTO
To: STRONG FORCE VCN PORTFOLIO 2019, LLC
Reel/Frame 062246/0793 →
Priority Claims (1)
IN 202211008709 · Feb 18, 2022 · national
Continuity (6)
Continuation PCTUS2022028633 · May 10, 2022
Provisional Application 63302013 · Jan 21, 2022
Provisional Application 63299710 · Jan 14, 2022
Provisional Application 63282507 · Nov 23, 2021
Provisional Application 63187325 · May 11, 2021
Related Publication 20230110037A1 · Apr 13, 2023
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