Integrated Liquidity Planning

By Kyriba April 8, 2021

The challenges of Liquidity Planning requires an increased volume of available data, and using the data in an integrated Liquidity Planning solution.

According to Xavier Audibert, VP Product Architecture / Product Management, Kyriba, “Integrated means three things: 

  • Better integration with ERPs
  • Taking advantage of all available but fragmented data sources
  • and integrating artificial intelligence models to increase the volume of data and make it more reliable”

In regard to data sources, “the majority of the required data is already available in Kyriba” he recalls. “All that remains is to complete the data with medium / long-term cash flow forecasts”. Then, data processing must be improved in order to be able to process large volumes.

In this context, Artificial Intelligence (AI) has a big role to play in processing the volume of data. “At Kyriba we are already using AI through our Fraud Detection module in the payment workflow. It allows automatic identification of suspicious payment transactions through the calculation of a scoring established against the payment history” recalls Edouard Gabreau, VP Product, TMS, Kyriba. “It is a technology that we are innovating and we will extend to cash flow forecasting and then to other predictive models through all of Kyriba’s modules”.

The principle of making cash flow forecasts more reliable is simple: we start with the learning of the artificial intelligence model from the history of invoices based on their actual receipt date. This creates a model of artificial intelligence. Then comes the prediction stage: each new invoice is analysed by the AI model, which performs a predictive calculation of the receipt date. The last step is to feed the predictions back into the business processes.

To learn more, watch this video with Xavier Audibert.

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