Method for optimizing corporate resource allocation using artificial intelligence (AI) by leveraging machine learning, predictive analytics and real-time data processing, involves dynamically adjusting resource distribution based on changing business conditions
	MOON M L; VERMA N; JAIN R; PUROHIT P; SONI A; AGRAWAL S
	2025-03-30
专利权人	MOON M L (MOON-Individual) ; VERMA N (VERM-Individual) ; JAIN R (JAIN-Individual) ; PUROHIT P (PURO-Individual) ; SONI A (SONI-Individual) ; AGRAWAL S (AGRA-Individual)
申请日期	2025-03-30
专利号	IN202511031303-A
成果简介	NOVELTY - The method involves collecting and processing structured and unstructured data from multiple sources, training machine learning models to analyze historical and real-time resource utilization patterns, generating optimized allocation strategies and dynamically adjusting resource distribution based on changing business conditions. USE - Method for optimizing corporate resource allocation using artificial intelligence (AI) by leveraging machine learning, predictive analytics and real-time data processing. ADVANTAGE - The system enhances efficiency, reduces costs and improves decision-making in corporate environments, thus ensuring that resources are distributed in alignment with organizational priorities and constraints. The system applies optimization techniques to recommend resource distributions that maximize efficiency while adhering to financial and operational constraints. The recommendations are continuously refined through feedback loops, thus allowing the AI engine to improve over time. The system addresses key challenges faced by businesses in resource allocation such as inefficient budget distribution, workforce mismanagement and project prioritization conflicts. The organizations achieve significant cost savings, improve employee productivity and enhance decision-making accuracy by automating and optimizing the allocation process. The AI-driven approach reduces the dependency on manual resource planning, thus minimizing human errors and biases that often lead to inefficiencies. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are included for the following: 1. a system for optimizing corporate resource allocation using AI by leveraging machine learning, predictive analytics and real-time data processing; 2. a decision-support system for corporate resource allocation; 3. an AI-driven method for optimizing workforce management; 4. a system for cost-efficient financial resource allocation using AI; and 5. a method for multi-layered corporate resource allocation optimization.
IPC 分类号	G06N-020/00 ; G06Q-010/00 ; G06Q-010/06
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13314
专题	中国科学院新疆生态与地理研究所
作者单位	1.MOON M L (MOON-Individual) 2.VERMA N (VERM-Individual) 3.JAIN R (JAIN-Individual) 4.PUROHIT P (PURO-Individual) 5.SONI A (SONI-Individual) 6.AGRAWAL S (AGRA-Individual)
推荐引用方式 GB/T 7714	MOON M L,VERMA N,JAIN R,et al. Method for optimizing corporate resource allocation using artificial intelligence (AI) by leveraging machine learning, predictive analytics and real-time data processing, involves dynamically adjusting resource distribution based on changing business conditions. IN202511031303-A[P]. 2025.

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