Automated Cash Flow Forecasting

Datali helped a client achieve financial stability with fully automated cash flow forecasting. By integrating predictive models, they eliminated manual calculations, saving 20+ hours per month while improving accuracy. Now, cash flow forecasts update daily in real-time, enabling smarter financial decisions with ease.

problem

solution

Unpredictable cash flows create financial uncertainty. This hampers investment decisions.

solution

Fully Automated Cash Flow Forecasting. Datali’s predictive model automatically forecasts cash flows every day.

business impact

Saving 20+ hours of work monthly. All this while reducing errors and increasing prediction accuracy, leading to long-term financial stability.

summary

Automated cash flow forecasting is key to achieving financial stability and making informed business decisions. Thanks to predictive models, businesses can automate daily cash flow forecasts, saving time and reducing errors.

This case study highlights how Datali implemented for a client fully automated cash flow forecasting. The result? A more accurate, real-time forecast that ensures long-term financial stability and saves 20+ hours of tedious manual work per month.

The Problem: Unpredictable Cash Flows

Every business relies on its financial stability. Track your cash flow and know what you stand on. Predict it and you can make business decisions with a peaceful mind. This is the role of cash flow forecasting - ensuring that you have enough money for your business transactions. It sounds simple: just predict how much money you will have. But of course, the reality is much more complex.

Changing business model. Acquiring another company with a separate accounting system that has to be yet adjusted. Introducing online shopping. This was what created the problem for our client. Combining financial information daily from various sources that are derived from changes in business models. Bringing them together to know the cash flow took many additional hours weekly. Then forecasting the liquidity for future decisions was adding even more hours of work.

The Solution: Fully Automated Cash Flow Forecasting with Datali

In this particular case, Datali’s help started with conducting AI Strategy Workshops. Here we analysed every process related to acquiring data needed for the cash flow forecast. What does it look like now? What are the data sources? How do they flow? Who accesses them? The outcome was a feasibility check for implementing a data model that automates cash flow forecasting.

After we designed the target model, in this case rule-based forecasting model, the next step was to develop a Proof of Concept (PoC), working on limited past data. For this purpose, Datali’s team set up a relational database storing financial data. The results were astonishing. What had previously taken 2 hours, was now done in milliseconds.

Following the well-established Datali’s way of working, the next was Minimum Valuable Product (MVP). At this point, we connected the real data sources to the model. We also included the option for manual input from domain experts, enhancing the model's accuracy.

Automating Beyond your Cash Flow

Now cash-flow forecasting worked automatically, delivering the results in real-time. Once per day the created tool also generated a report, showing the updated cash flow forecast. The report could also be created on demand, just when the client needed it.

An example of fully automated cash flow forecasting doesn’t have to stop on accounting and financial data. Want to integrate data sources from various marketing tools? Strive for one, universal point of information?

With Datali’s team, you can work on this too. Save your precious time by eliminating tedious manual work. With AI automation, you are one step closer. What will be your next move?