Supports commercial demand planning with respect to understanding the impact of existing constraints in terms of capacity, resources and materials. Through an approach involving algorithms and simulations, the planner can produce a feasible and optimised production plan identifying the best possible production scenarios.

Proposes a materials procurement plan synchronised with the production plan. It supports the planner in the selection of the most suitable supplier and optimises total purchasing costs. This solution helps in deciding what to buy from which supplier, when, in what quantity and at what cost in relation to demand, stock availability and desired stock levels.

Supports distribution network design and helps the planner determine which products to allocate to distribution centres. Planning simultaneously considers: demand; geographical location of production sites; distribution centres and customers; primary and secondary routing; lead-times; as well as production and transportation capacities.

Generates point of sales/secondary distribution centres replenishment plans, as well as requests to main distribution centres, both in terms of optimal quantities and dates. These plans are elaborated by simultaneous consideration of forecasts and their degree of reliability, product management policies, stock management policies, delivery calendar and logistic-operative replenishment features.

Uses sophisticated statistical techniques to determine stock management parameters such as safety stock levels and replenishment policies. These, optimised with respect to existing logistical constrains and the product statistical features. Based on actual sales data, it also recalculates and adapts parameters according to changes in external conditions, allowing an optimal return on financial investment.