Human resource forecasting is a systematic process of estimating the future demand for and supply of human resources in an organisation. It forms a crucial component of human resource planning, as it enables management to anticipate workforce requirements and ensure that the right number of people with appropriate skills are available at the right time. Forecasting links organisational objectives, business strategies, and environmental changes with manpower needs. By analyzing internal and external factors such as expansion plans, technological changes, labour market conditions, productivity levels, and employee turnover, human resource forecasting helps organisations minimize uncertainty and make informed staffing decisions. Human resource forecasting broadly focuses on two dimensions: forecasting human resource demand and forecasting human resource supply. Demand forecasting refers to estimating the number and types of employees required to achieve organisational goals in the future. Supply forecasting involves assessing the availability of human resources, both from within the organisation and from the external labour market. To carry out these forecasts effectively, organisations use a variety of qualitative and quantitative techniques. Qualitative techniques of human resource forecasting are largely based on judgment, experience, and subjective assessment. These methods are particularly useful when historical data is limited or when future conditions are expected to differ significantly from the past. One commonly used qualitative technique is managerial judgment, where line managers and top executives estimate future manpower needs based on their experience and understanding of business plans. This method is simple and flexible, but it may be biased due to personal perceptions and lack of systematic analysis. Another important qualitative method is the Delphi technique, which involves a panel of experts who independently provide forecasts. Their opinions are collected, summarized, and shared anonymously with the group in several rounds until a consensus is reached. This method reduces individual bias and is useful for long-term forecasting, though it can be time-consuming. The nominal group technique is another qualitative approach, where a group of managers meet face-to-face to discuss and rank manpower requirements. This encourages participation and quick decision-making but may still be influenced by dominant individuals. Scenario analysis is also used as a qualitative method, where organisations develop different future scenarios based on possible economic, technological, or policy changes and estimate human resource requirements under each scenario. This helps organisations prepare for uncertainty and environmental volatility. Quantitative techniques of human resource forecasting rely on numerical data, statistical analysis, and mathematical models. These methods are more objective and suitable when reliable historical data is available. One widely used quantitative technique is trend analysis, which involves studying past employment patterns and projecting them into the future. By analyzing trends in workforce size, organisations can estimate future requirements, assuming that past patterns will continue. While simple and cost-effective, this method may not account for sudden changes in technology or business strategy. Ratio analysis is another quantitative method where the relationship between the number of employees and certain business variables, such