More accurate predictions for a better future

Accurately anticipating demand improves customer service, increases sales and reduces costs. That’s why overcoming the uncertainty of demand remains the highest priority of today’s supply chain leaders.

By analyzing historical demand and market intelligence, Quintiq helps you to determine what’s to come and how you can benefit from it. You have a single platform from which you can run your entire planning process, including planning product launches, tracking how your demand plan changes, and identifying collaborators’ contributions to the process. With Quintiq, you’ll be best placed to anticipate demand through improved statistical forecasting, collaborate more effectively with your internal sales teams and external customers, and explore demand scenarios to increase sales.

When market conditions change or new intelligence is made available, Quintiq automatically revises your forecasts too. The result is better forecasts, created faster.
    Here’s how it works:

    • Statistical forecasting
      Use Quintiq’s advanced algorithms to segment demand and automatically calculate the optimal statistical forecast by analysing events, trends and seasonal changes.
    • Effective collaboration
      Create a demand plan that includes input from sales, finance, marketing, and other key sources – and give all users simultaneous access to the most up-to-date version.
    • Demand analytics
      Real time analytics allow you to discover where your forecasting challenges lie, track how forecasts change over time and how demand planning is benefitting your business.
    • Exception management
      Receive real-time notifications of forecasts that need your attention, helping you to manage your time as a demand planner.
    • Consensus forecasting
      Configure demand plans to incorporate multiple inputs, such as customer orders, and management overrides. Review the options to automatically or manually reach a consensus.
    • Demand scenarios for S&OP
      Create multiple demand scenarios to manage opportunities and risks. Carry out range-based forecasting and demand shaping.