Automated royalty settlement planning for better financial visibility and forecasting

Automated royalty settlement planning for better financial visibility and forecasting

Achieve greater visibility and financial predictability in your royalty settlement process
Cut hours of planning. Make your settlement process around 20% more efficient.
Arrange a demo

Can you easily and confidently forecast your upcoming royalty obligations?

Royalty teams know their processes inside out. But for Finance and management, gaining the same level of visibility and transparency can be more difficult.

Which settlements are coming up? When will they be processed? What are the expected amounts – and how will they affect your financial forecast, planning and operations?

When royalty planning relies on spreadsheets, individual knowledge and information across multiple systems, getting a clear and consistent picture of upcoming settlements can require considerable manual effort.

Without a clear view of expected settlement amounts and timing, Finance has less certainty around upcoming royalty obligations – making it more difficult to build reliable financial forecasts and plan effectively for what lies ahead.

Turn royalty settlement planning into a more predictable process

Schilling brings royalty planning and settlement together in one structured process – giving royalty teams a more efficient way to work while providing Finance and management with greater visibility into upcoming royalty obligations.

Gain a clearer view of what is coming

Intelligent Job cards automatically organise upcoming royalty settlements based on predefined criteria, creating a structured foundation for the entire settlement process.

Each Job card brings together a collection of royalty agreements and provides visibility into what is scheduled, when it is expected to be settled and the estimated amount.

This gives Finance a clearer view of upcoming royalty obligations and better input for financial forecasting and planning.

 

Imagine your next royalty settlement is already prepared before you even start planning. Intelligent Job cards automate the planning

Greater financial visibility

Gain insight into upcoming settlements, expected timing and estimated amounts – providing Finance with a clearer picture of upcoming royalty obligations.

Automated and predictable planning

Job cards automatically structure upcoming settlements according to predefined criteria such as payment date, settlement date, frequency and settlement group.

No reliance on spreadsheets

Move planning and settlement into the same environment and eliminate the need for parallel spreadsheets, manually maintained settlement plans and disconnected sources of information.

Better data confidence

Reduce manual data entry and establish a more consistent process based on the royalty data already held in Schilling.

Turn greater visibility into measurable efficiency

Better visibility and more structured planning are only part of the value. Royalty settlement is a recurring process, which means improvements in planning and processing create value every time settlements are prepared.

The guided settlement process makes royalty settlement around 20% more efficient.

And the efficiency gains start even earlier.

Intelligent Job cards automate the preparation and planning that would otherwise require manual work and hours of preparation. Relevant royalty elements are brought together automatically according to the structure defined by your organisation.

Royalty settlement

Move from planning to settlement with a single click

When your Job cards are ready for settlement, your Finance or royalty team can start the process with a single click.

From there, Schilling provides a structured settlement process, with automated controls and notifications helping ensure greater consistency and control from start to finish.

By reducing the need for manual data entry, the guided process helps minimise errors while creating a faster, more efficient and consistent settlement process.

Monitor and review

Job Manager provides access to previous settlement jobs, history and underlying details – creating a clear record of completed settlements.

  • Running settlement jobs
  • Previous settlement jobs
  • A complete historical overview with filtering and search functionality across all settlement jobs

With Job manager, your organisation get a complete overview of previous settlement runs and can easily explore the underlying data and details whenever needed.

Give Finance greater visibility into royalty operations

Royalty settlements represent recurring financial obligations. The teams responsible for them need efficient tools to manage the complexity. Finance and management need visibility into what is coming, when and the expected amounts.

Schilling connects the two.

By bringing planning, settlement and follow-up into one structured process, Schilling gives royalty teams a more efficient way to work while providing Finance and management with greater transparency, predictability and better input for financial forecasting.

See what greater visibility could mean for your royalty operations

Fill in the form with your email address, and we’ll get in touch to arrange a demo.

  • Improve financial visibility
    See upcoming royalty settlements, expected timing and estimated amounts – and how this can provide better input for financial forecasting.
  • Automate royalty settlement planning
    See how Intelligent Job cards reduce manual preparation and create a more structured and predictable planning process.
  • Eliminate reliance on spreadsheets
    Explore how planning and settlement can be brought together in one structured workflow.
  • Improve control and consistency
    See how the guided settlement process and automated controls support a more reliable process.
  • Create a clear settlement history
    Use Job manager to review previous settlement runs and explore the underlying data and details.

Lenni Palmund, Solution Expert

 

Arrange a demo

Frequently asked questions about royalty settlement management

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