Analytics data can be used in Category Management forecasting.

Analytics data refers to data models and predictions, often generated through statistical methods or advanced software, that provide insights into future trends. Unlike historical data, which looks at past performance, or known data, which describes current realities, analytics projects what is likely to happen in the future. For example, predictive analytics can identify demand spikes based on past seasonal behaviour, consumer sentiment, or economic indicators. In category management, such predictive models are invaluable for anticipating supply shortages, managing risks, and planning procurement strategies. Analytics data allows procurement professionals to move from reactive decision-making to proactive and strategic management. The integration of analytics into forecasting also supports better negotiation with suppliers, as buyers can demonstrate awareness of future trends and cost drivers. In today’s fast-changing markets, reliance solely on historical data is insufficient—analytics data gives procurement a competitive edge.