ICE BREAKERS: Order-to-Cash Benchmarking in 2020: A Data-Driven Approach & Redefining the Fundamentals of Cash Forecasting With Artificial Intelligence

Order-to-Cash Benchmarking in 2020: A Data-Driven Approach

The world today is changing continuously in the wake of the COVID-19 pandemic, and this is the time for businesses to identify process gaps that they should fill in to emerge successfully in the aftermath of this crisis. With the downturn in the economy, receivable teams have a critical role to play in safeguarding the business.

But is your order-to-cash function currently optimized to deliver on what your needs are today? An APQC survey concluded that the best-in-class order to cash cost 2.5 times less to the business compared to the bottom performers. How could your team pivot today to move closer to the top-class delivery model?

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Redefining the Fundamentals of Cash Forecasting With Artificial Intelligence

COVID 19 has emphasized what has been widely known for years – that cash forecasting is often very time consuming and yet very unreliable. In fact, cash forecasting remains the number one issue that treasury departments face and want to improve. The current pandemic has elevated that message even further. This session will discuss current survey results of changing perceptions as the pandemic continues, and the way that technology, using artificial intelligence, can solve what has been an age old problem.

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