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Revenue Forecast Report

Example prompt: "At the start of each month, pull sales figures from our revenue sheet, calculate the growth trend over the last 6 months, and email leadership a forecast report."

How to automate revenue forecasting with GloriaMundo

The Problem

Revenue forecasting is one of those tasks that everyone agrees is important but few people enjoy doing. At the start of each month, someone has to pull raw sales figures from a spreadsheet, calculate month-on-month growth rates, identify trends, extrapolate forward, and package it all into a readable report for leadership. The arithmetic is straightforward but fiddly — it is easy to grab the wrong row, mix up periods, or misapply a growth rate. For small finance teams or founder-led businesses without a dedicated FP&A function, this monthly ritual can take several hours, and delays mean leadership is making decisions with stale numbers.

How GloriaMundo Solves It

We build a workflow that runs on a schedule at the start of each month. An integration step reads the last 6 months of sales data from your revenue Google Sheet. A code step calculates month-on-month growth rates, computes a weighted moving average, and projects revenue for the next 1-3 months based on the trend. An LLM step takes these numbers and writes a concise narrative forecast report — covering the trend direction, notable changes, and the projected figures — formatted for a leadership audience. Finally, an integration step emails the report to your specified recipients via Gmail. Glass Box preview shows you the raw calculations, the projected figures, and the full draft report before it is sent, so you can verify the numbers and adjust the narrative.

Example Workflow Steps

  1. Trigger (scheduled): Runs on the 1st of each month.
  2. Step 1 (integration): Read the last 6 months of revenue data from the Google Sheets sales tracker — monthly totals, product lines, and any relevant breakdowns.
  3. Step 2 (code): Calculate month-on-month growth rates, compute a weighted moving average to smooth out anomalies, and project revenue for the next 1-3 months.
  4. Step 3 (llm): Write a narrative forecast report summarising the trend, highlighting notable changes (acceleration, deceleration, seasonal patterns), and presenting the projected figures in context.
  5. Step 4 (integration): Email the forecast report to the leadership distribution list via Gmail, with a clear subject line and the report inline.

Integrations Used

  • Google Sheets — source of historical revenue data and sales figures
  • Gmail — delivers the forecast report to leadership

Who This Is For

Finance leads, CFOs, and founders at small to mid-sized businesses who need a reliable monthly revenue forecast without the overhead of enterprise FP&A tooling. Particularly useful for companies tracking sales in spreadsheets rather than specialised revenue platforms.

Time & Cost Saved

Manually pulling 6 months of data, running the calculations, and writing a presentable forecast report typically takes 2-4 hours. This workflow reduces the effort to reviewing the Glass Box preview and making any narrative tweaks, around 15-20 minutes. Over a year, that is roughly 20-45 hours of finance work saved. The workflow uses integration, code, and LLM steps, costing a few credits per monthly run.