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Email: partnerships@silicoai.com

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Order to Cash Process Improvement Starts with Silico

Business Process Simulation (BPS) with Silico helps you optimise your order-to-cash process and drive KPI – improve customer experience and revenue generation while reducing costs simultaneously.

Transformation teams can use Silico to analyse your company’s current order-to-cash process, test alternative process designs digitally, and thereby optimise the ROI of their transformation initiative.

Create a Digital Twin to continuously monitor, analyse, and optimise processes, for example, through dynamic headcount allocation. This initial order-to-cash twin can then be expanded into a full Digital Twin of the Enterprise (DTE) step-by-step, with value generated at each iteration at minimum risk, time, and cost.

Silico lets us make future decisions that benefit the whole organisation rather than individual business units and promotes transparency to align stakeholders around change initiatives.

Name
Company

We have a range of other process mapping solutions including SAP but Silico makes it easier for us to understand and interact with the model.

Name
Company

With Silico, we can iteratively develop business process simulation models that predict the impact of future changes on our order-to-cash process and link those directly to business outcomes and financials even where processes are not system-based and without months of data collection.

Name
Company

What are the Benefits of using Silico for your Order to Cash process?

Optimising your order-to-cash process - whether through a transformation initiative or in ongoing operations - improves process efficiency, customer satisfaction, and revenue generation.

Optimise process efficiency:

Improve your order-to-cash process to reduce processing times, costs, and accumulating backlogs and queues.

Improve customer relationships:

Delivery orders quicker and more reliably to improve customer experience, relation- ships, and retention.

Increase revenue:

Generate revenue quicker by fulfilling orders earlier to optimise cash flow and free up working capital.

How to get started with your Order to Cash Simulation

Silico can analyse your existing order-to-cash process and evaluate alternative process designs in four weeks with just:

An understanding of your current process, for example, from process maps or generated in Silico with your team

Realistic values for relevant variables such as processing times and available resources

Your ideas for process changes

A full Digital Twin of your order-to-cash process also requires:

Real-time data integration to your relevant systems

An understanding of decisions and problems of your operational decision makers

How it Works...

Let’s take a look at how an Order to Cash process simulation model works with Silico:

Build the Digital Twin:

Develop a causal model of your finances that reflects how inputs such as order volumes and material prices affect outcomes such as revenues and margins.

Connect to real-time data:

Integrate the Silico twin into existing systems, such as customer relationships management (CRM) and enterprise resource management (ERP) systems.

Gain FutureSight:

Test decisions virtually and identify optimal courses of action for, for example, pricing, make or buy, and product mix decisions.

Monitor and Control:

Forecast your financials, such as your margin, in varying circumstances and scenarios, including fluctuating commodity prices and inflation, and get alerted to developments ahead of time.

Grow towards a DTE:

Expand the financial twin to other parts of the organisation to develop a full DTE at minimum risk, time, and cost to generate value in new areas and improve the initial finance twin itself.

Build the Digital Twin:

Develop a causal model of your finances that reflects how inputs such as order volumes and material prices affect outcomes such as revenues and margins.

Connect to real-time data:

Integrate the Silico twin into existing systems, such as customer relationships management (CRM) and enterprise resource management (ERP) systems.

Gain FutureSight:

Test decisions virtually and identify optimal courses of action for, for example, pricing, make or buy, and product mix decisions.

Monitor and Control:

Forecast your financials, such as your margin, in varying circumstances and scenarios, including fluctuating commodity prices and inflation, and get alerted to developments ahead of time.

Grow towards a DTE:

Expand the financial twin to other parts of the organisation to develop a full DTE at minimum risk, time, and cost to generate value in new areas and improve the initial finance twin itself.

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