Blue Ridge has introduced Supply Chain Planning 180, which leverages machine learning and AI-enhanced features to provide demand sensing capabilities.
Demand Classification Enhancement takes advantage of demand patterns, including product lifecycle while considering demand sparsity, volatility, and velocity. The Demand Classification process can be used to drive additional decision processes in forecasting, eliminating the need to re-run seasonal profiles.
Intermittent Demand Forecasting (IDF) separates demand hits and varying spaces, providing a robust/stable forecast, more consistent safety stock, and less overreaction to zero demand forecasts.
Intelligent Min/Max (IMM) Replenishment is a way to deal with intermittent and slow-moving SKUs. Instead of the forecast approach, IMM approaches the problem from the service and inventory levels to support the customer experience perspective, while making it possible to auto-manage long-tail items for a better in-stock and service level.
Blue Ridge Cloud-Native Supply Chain Planning creates fully configured orders and economically optimized company goals for up to 24 months in advance. These precise order projections are automated without user intervention and adhere to order schedules, SKU level rounding requirements, and order level constraints. The solution predicts daily store demand, distribution center demand, receipts, and on-hand inventory to create the optimal plan considering the unique dynamics of every item, location, channel, and supplier.
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