Consider a range of demand signals to enhance the accuracy of demand planning. POS data offers a clear indication of sales performance and identifies slow-moving products.
Predicting sales for numerous SKUs becomes seamless, extending to forecasts at the product, family, customer, and store cluster levels. Even in situations where comprehensive sales history is lacking for specific items or sales are irregular, tools are available to enhance the precision of customer demand predictions.
Enhance visibility into offshore production, monitor goods movement, and improve collaboration with suppliers. Continuously track, control, alert, simulate, and measure supply chain activity.
Strike a balance between desired service levels and inventory investments. Dynamically set inventory targets based on specific safety stock and order quantity rules, allowing for rapid modeling of the cost implications of percentage improvements in customer service.
From introduction to sell-off, stay informed about raw material statuses, enabling quick decision-making, responsiveness to new trends, and acceleration of in-season replenishment.
Streamline your planning process and save time by automating retail replenishment. Ensure consistently high availability by aligning with forecasts to be well-stocked. Boost inventory turnover by maintaining optimal inventory levels and striking a balance between efficiency and a high service level.
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