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SmartPredictions™

Leverage the power of Artificial Intelligence (AI) with SmartPredictions™

As the focus on liquidity increases, analyzing cash positions and better managing idle cash will require the speed and agility of AI. SmartPredictions improves your cash forecasting with its ability to analyze large volumes of data faster, run multiple scenarios more quickly and accurately and free up analysts to interact with decision-makers and become an even more valued partner to the business.

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Key features:

  • Minimal user input and intuitive interface let you run forecasting scenarios quickly
  • Optimal accuracy with algorithmically selected machine learning models
  • Transparent results include recommended models and accuracy scores
  • Significant time savings on data and historical analysis with the click of a button

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Insight for decision-making

Having insight from a tool that can precisely forecast future transactions is crucial for cash management and can better equip your treasury team for decision-making. Fueled by artificial intelligence, SmartPredictions gives you the ability to quickly create forecasts with a predictive accuracy determined by your business’ historical liquidity data.

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Remove the limitations of spreadsheets

Without AI, treasury professionals are constrained by the amount and type of data that can be input and analyzed by spreadsheet-dependent processes. The inconsistency of internal data collection procedures and the risk of errors when inputting or importing data can take great manual effort and lead to significant issues for the finance team. SmartPredictions uses the data readily available within the GTreasury system, eliminating the risk associated with manual entry and ensuring consistency from business unit to business unit.

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Intuitive Accuracy

SmartPredictions can learn data patterns and accurately predict forecast data by running multiple machine learning models to recommend the best fit for each transaction type. Decision Tree Regressor (gradient boost framework), which builds out regression models in a tree structure, splitting historical data into increasingly smaller samples according to predictor variables, and Singular Spectrum Analysis, which processes data points sequentially to predict what subsequent data will look like, are just two types of the models used.

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Data Transparency

Our solution was built to be transparent in how artificial intelligence is being applied to your data.  Every time a forecast is generated, SmartPredictions provides clear information about which optimal model was chosen, along with the expected margin of error, giving you a level accuracy and understanding that you can depend on.

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Experience you can trust

By adopting an established cloud-based treasury management system with fully integrated AI for forecasting, you get the benefits of AI, plus a partner who understands the complexities, regulations and challenges faced by your team. With GTreasury, no specialized knowledge of AI is required, you are not dependent on data scientists, and you have the specific controls required by treasury teams.

With machine learning, a computer can be fed data from prior time periods and can learn how to predict data for future periods. Significant amounts of prior company financial data must be available for this, and the program must be tested carefully with varied datasets for accuracy before its predictions should be relied on. That said ML cash forecasting is rapidly developing into an incredibly efficient solution, allowing treasury access to highly accurate forecasts with very little manual work.

Strategic Treasurer

2020 Analyst Report

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