System for performing Artificial intelligence-driven succession planning and employee engagement, has interface for presenting insights and recommendations to HR practitioners for enabling dynamic adjustments to succession planning based on evolving employee and organizational needs
	BHARDWAJ A; BOMMISETTI R K; MERIGA K U J; CHOUDHARY N; SHANKAR S; SUBBALAKSHMI A V V S; CHOWDHURY A R
	2025-03-28
专利权人	BHARDWAJ A (BHAR-Individual) ; BOMMISETTI R K (BOMM-Individual) ; MERIGA K U J (MERI-Individual) ; CHOUDHARY N (CHOU-Individual) ; SHANKAR S (SHAN-Individual) ; SUBBALAKSHMI A V V S (SUBB-Individual) ; CHOWDHURY A R (CHOW-Individual)
申请日期	2025-03-28
专利号	IN202531029848-A
成果简介	NOVELTY - The system has an artificial intelligence engine for analyzing collected data using machine learning and predictive analytics to identify leadership potential and competency gaps. A career development module generates personalized development plans based on analysis performed by the artificial intelligence engine, where the development plans include specific, measurable, achievable, relevant, time-bound (SMART) objectives. A feedback integration module incorporates real-time feedback including 360-degree evaluations and engagement surveys to refine the development plans and succession strategies. An interface presents insights and recommendations to Human Resource (HR) practitioners for enabling dynamic adjustments to succession planning based on evolving employee and organizational needs. USE - System for performing Artificial intelligence (AI)-driven succession planning and employee engagement to integrate employee engagement metrics, predictive analytics, and personalized career development in dynamic business environments, organization and field of human resource management (HRM) using advanced AI methodologies such as machine learning, predictive analytics, and data-driven modeling. ADVANTAGE - The system enhances employee satisfaction, improves retention rates, and ensures organizational agility, thus offering scalable solution for workforce challenges in dynamic business environments by addressing limitations in traditional succession planning methodologies. The system realizes integration of AI technologies into succession planning frameworks to enhance employee engagement and organizational efficiency, thus ensuring long-term success in dynamic business environments. The system uses dynamic, datadriven system for analyzing employee data and allows advanced AI methodologies to enable dynamic identification of leadership potential, proactive competency analysis, personalized career development planning, and real-time monitoring of engagement metrics. The system aligns with recognized HRM principles such as competency modeling and SMART goal setting, and incorporates continuous feedback mechanisms for process refinement to bridge gaps in traditional succession planning methods by leveraging AI-driven insights to align employee aspirations with organizational objectives, thus improving talent retention, leadership readiness, and overall employee satisfaction. The system uses cohesive, AI-driven framework that integrates succession planning with engagement metrics and adapts to organizational changes in real time. The system incorporates real-time feedback mechanisms to continuously monitor and refine succession planning and workforce engagement strategies. The sycm can foster employee motivation and satisfaction by aligning career development initiatives with individual aspirations,thus reducing turnover and enhancing overall organizational performance.
IPC 分类号	G06Q-010/0631 ; G06Q-010/0637 ; G06Q-010/0639 ; G06Q-010/105 ; G06Q-030/0201
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/13458
专题	中国科学院新疆生态与地理研究所
作者单位	1.BHARDWAJ A (BHAR-Individual) 2.BOMMISETTI R K (BOMM-Individual) 3.MERIGA K U J (MERI-Individual) 4.CHOUDHARY N (CHOU-Individual) 5.SHANKAR S (SHAN-Individual) 6.SUBBALAKSHMI A V V S (SUBB-Individual) 7.CHOWDHURY A R (CHOW-Individual)
推荐引用方式 GB/T 7714	BHARDWAJ A,BOMMISETTI R K,MERIGA K U J,et al. System for performing Artificial intelligence-driven succession planning and employee engagement, has interface for presenting insights and recommendations to HR practitioners for enabling dynamic adjustments to succession planning based on evolving employee and organizational needs. IN202531029848-A[P]. 2025.

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