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Email: partnerships@silicoai.com
160 Kemp House, City Road, London, EC1V 2NX, UK
Different ERP systems can have varying impacts on KPIs such as FTE requirements, processing lead times, revenue, as well as supply chain security. However, quantifying these impacts ahead of implementation has proven difficult, leading to sub-optimal choices. With Silico, your team can make evidence-based decisions on your ERP transformation.
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.
Stress test your as-is processes under existing systems to see how they cope in different scenarios. This helps identify transformation requirements, communicate them to stakeholders, and foster buy-in.
This is all done virtually so that you can test out the effect of these ERP transformations in Silico before committing to any costly implementation.
Use the Digital Twin of your new processes to monitor transformation progress, identify root causes of divergence from the plan, and course correct.
An understanding of the processes for which you want to implement a new ERP system. This understanding can come from process maps or be generated in Silico with your team
Realistic values for relevant variables such as processing times and available resources
Different ERP transformations (i.e. process design with relevant systems) that you’re considering implementing
Real-time data integration to your relevant systems
An understanding of decisions and problems of your operational decision makers
Let’s take a look at how an ERP Transformation Programme works in Silico:
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