What goes on behind the scenes of an online cash flow forecasting software?
Learn the ins & outs of the process of automated cash flow forecasting today!
Online forecasting is built for treasury and finance teams to manage cash flows and enable real-time visibility through dashboards and reports. It helps in understanding trends based on past information and reduces the complexity in controlling finance by reducing manual and time-taking tasks. Besides, it provides automated data upload and consolidation and allows drilling down to line items for detailed analysis.
The HighRadius solution is an AI-powered user-friendly SaaS software that delivers accurate forecasts that provide analytical insights into your firm’s liquidity and foresight to its future monetary position and provides confidence to treasurers ensuring business continuity and development. Being a finance expert is now just one cloud away
The HighRadius dashboard is tailored to give an accurate high-level view of the present and expected cash movements, you can compare your net closing balance of the past with the current and EOB closing balance. The solution allows you to view those balances in your preferred currency. The graph helps in analyzing when and where you are facing or are going to face a drip in cash.
Cash position is tracked seamlessly from a variety of data sources like ERP, TMS, banks, and other accounting systems, or via systems through API integration and FTP. It also supports the manual upload of data. The HighRadius solution then feeds the data into a sheet in your preferred format. For data processing, open invoices are matched against certain parameters such as DSO, and the payment date is predicted. This can be done on an invoice, customer, company, bank, or regional level.
The forecast provides global cash visibility. The dashboard assists in viewing forecasts by days, weeks, or months, and filtering forecasts for different cash flow categories, subcategories, entities, regions, or companies. Excel on Web facility enables manual input by users to make adjustments that automatically reflect in the forecast to prepare for several situations. Variance analysis offers an end-to-end performance review based on the difference in actual vs forecast to spot the anomalies and fix them. Machine learning improves the accuracy forecasts continuously by reducing the variance with the help of previous bank statements.
The data is sent in a supported format into ERP, or TMS, or Excel for reporting. The information is exported into Excel, Text, or PDF format and stored for future reference. The stored data is used for planning short-term and long-term goals and provides correct data to higher treasury authorities for scrutinizing problematic areas and taking further steps.
Cash flow is the total amount of cash flowing in and out of a company’s bank account. Cash flow is broadly classified into three types:
Cash flow forecasting is essential as it helps in keeping afloat with the current cash flows and estimates how much cash a company will have in the future. Plotting the cash movements of each area of business helps in identifying potential business risks since it assesses when there is a possibility of debt so that a business can either borrow loans at a low interest rate or invest for long-term financial security. It identifies late-paying customers, which helps in collecting payments against invoices earlier. Thus, cash forecasts help in taking proactive decisions, saving both time and effort.
Traditional cash flow forecasting includes reports of estimated sales, turnover, and other trading expenses. It is mostly done yearly or quarterly. The data is gathered and entered into spreadsheets to make a report. Manually entering data can make room for human errors. The outcome is huge gaps between forecasts and actuals. Manual extraction and merging of data require a lot of effort, but the hard work goes in vain due to the high chances of data loss. The inflexibility and inaccuracy cause financial distress and comes with a great cost of business downfall.
Online cash forecasting saves significant time and cost since automation eliminates the manual tasks, for instance:
The amount of time saved depends on the ‘as-is’ and ‘to-be’(i.e. the current state and the future state), and the number of people involved in the process. On a rough estimate, around 20% of a week’s time is saved. The time saved can be spent on activities that add more value to the organization to increase profit.
The accuracy of online cash flow forecasting varies for different companies, the source data, type of technology leveraged, and the visibility level. Moreover, the purpose of forecasts can vary: a cash deficit company may forecast aggressively, explore credit options and focus on performing scenario analysis to monitor risks, whereas cash-rich companies may perform long-term forecasting to improve results, search for growth opportunities and focus on investments, M&As, and FP&A decisions. Some online cash forecasters may lack Excel on the Web to populate inputs to perform forecast vs forecast. Typically, long-term forecasts are less accurate than short-term forecasts because of some unknown changes like changing FX rates, recession, etc.
In conclusion, forecasts can hardly be 100% accurate, but by choosing the right process, resources, AI/heuristic models for appropriate cash flows, time-series algorithms, and technologies, the forecasts can be made 95% accurate.
HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.