Cash Flow Forecasting: Common Pitfalls to Avoid

Cash is the lifeblood of a business. Thus it is essential to monitor it with cash flow forecasting. Following are some tips to improve your cash flow forecasts:

1. Understand the need for forecasting at your company, and learn the areas where it can provide its benefits. Input daily fixed and variable expenses and ensure it is up-to-date so that forecasting can be done accurately. Forecasting helps in reserving money or borrowing loans for cash deficit situations.
2. Look at the forecast vs actuals, and drill down to the root cause of variance in between them. Variance analysis will help in identifying potential risks in order to mitigate them, and taking proactive decisions against the changes required in business strategies.
3. Leverage best tools, models, and methods to perform the forecasts. Choose a flexible and robust technology that aligns with your purpose of forecasting, and provides a granular level view across regions and entities. Automated technology reduces the scope of errors and improves reporting.

Why do some businesses avoid cash forecasting?

Cash flow forecasts are affected by various factors like economic volatility and limited historic data that contribute to increasing the variance in forecast and hindering decision making. Prediction always comes with a high probability of uncertainty, so many firms lacking accurate forecasting processes express low confidence in their forecasts, especially long-term forecasts.

What are some common errors when evaluating projected cash flows?

The mistakes while evaluating cash flow forecasts are:

1. Not updating forecasts regularly.
2. Not accounting for delayed payments and taking proactive measures.
3. Not comparing projections to actuals exhaustively to find the cause of the variance.
4. Not updating to technology that can reduce human errors in financial reporting.

Why is tracking cash flow so difficult?

Cash flow is difficult to track mainly because Accounts Receivable and Accounts Payable are unpredictable, making it difficult to forecast.

The factors that make A/R difficult to project are:

• Too many variables that are hard to predict like:
  • Customer payment behavior
  • Business cycles
  • Credit score
  • Discounts and Rebates
  • Disputes

The factors above add to the unpredictable nature of A/R. The issues while forecasting arises due to the following reasons:

• Data scattered across various data sources
• A high volume of invoices fed in error-prone Excel sheets

A/P is inaccurate in the long-term due to the following factors:

• Changes in :
  • Payment terms
  • Payment methods
  • Time of purchase and time of shipment of goods
  • Maintaining working capital thresholds
  • Discounts and Rebates

The unpredictability of the above factors leads to inaccuracy in the forecast. The challenges to forecast A/P are:

• Difficulty in predicting payments for which the invoices haven’t rolled in
• Inconsistent payment dates for working capital

Thus, it is important to rely on automation that allows having a high-level view across various regions and cash flow categories; and consider Artificial Intelligence to predict A/R and A/P accurately, and generate forecasts efficiently and confidently.