Forecasting in supply chain management refers to the process of using historical data, market trends, seasonality patterns, and analytics models to predict future customer demand and business needs. Accurate forecasting supports inventory optimization, production scheduling, staffing, and overall logistics planning.
An e-commerce company analyzes sales trends from the previous holiday seasons and uses forecasting models to predict higher demand for electronics in Q4, enabling early inventory procurement and marketing planning.
MET CO is a logistics provider built for speed, precision, and growth. We specialize in cross-docking, short-term warehousing, and wholesale distribution, with a strong track record in the grocery and automotive sectors.
As our clients scale, so do we—expanding into eCommerce fulfillment, value-added services, and just-in-time delivery. Our operations are designed to handle both bulk and high-frequency inventory with minimal friction and full visibility.
Whether you need rapid turnarounds, zone-based storage, or reliable outbound execution, MET CO acts as an extension of your supply chain—lean, fast, and aligned to your goals.
Common methods include time-series analysis, causal models, machine learning algorithms, and qualitative approaches like market research and expert judgment.
Forecasts should be reviewed and updated regularly — typically monthly or quarterly — and adjusted based on new sales data, seasonality shifts, and market changes.
Accurate forecasting helps warehouses plan labor, space, and inventory needs in advance, improving efficiency and minimizing costs associated with over- or under-stocking.
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