Demand Planning in SYSPRO is done through the Inventory Optimizer (IO) suite of modules which support and enhance strategic decision-making processes in the critical operational areas of supply chain, inventory management and inventory optimization.

Designed to give decision-makers extended visibility and absolute clarity into actual market demand for products and services, SYSPRO IO helps planners in sales, marketing, production and logistics to continually monitor, manage and optimize their strategies. It provides the statistical information and analysis they need to make informed decisions, such as what to make, what to buy, from whom to buy, how much inventory to carry, where to stock and how much.

SYSPRO IO provides statistical information on which businesses can base decisions for managing customer demand. With the real-time perspective provided, planners can accurately evaluate and distinguish between expected and abnormal demand. Planners can easily perform 'what if' scenarios to determine the outcomes of all possible choices without jeopardizing forecast orders.

SYSPRO IO provides planners with the ability to manage related stock items as strategic business units, by applying relationship-oriented techniques to individual stock items. This enables planners to apply powerful aggregated forecasting and planning techniques to obtain maximum breadth of perspective with any number of composite views. By managing inventory in family hierarchies, businesses can improve productivity and customer service levels. The three integrated modules within the suite include:

  1. Forecasting, provides the baseline, statistical information planners need for decision-making. It uses a combination of historical information, quantitative and qualitative variables, and algorithms to derive accurate demand forecasts. A Pareto Analysis provides insight into the usage and importance of items, based on quantities sold/requested, profitability, cost and price
  2. Families and Groupings provides further classification, analysis and forecasting above the stock item level. It enables the configuration of product relationships for added business perspective and is ideal in situations where the number of Stock Keeping Units makes the forecasting of individual items unmanageable, or where the collective forecasting of items makes more sense.
  3. Inventory Optimization provides the practical implementation of inventory management and optimization policies. It helps to determine the optimum levels required for safety stock, seasonal stock, and basic stock, by factoring in considerations such as depletion rate, target service-level, standard demand deviation, order lead time and lead time variability.

Inventory Optimization provides the practical implementation of inventory management and optimization policies. It helps to determine the optimum levels required for safety stock, seasonal stock, and basic stock, by factoring in considerations such as depletion rate, target service-level, standard demand deviation, order lead time and lead time variability.

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