Sales forecasting can feel like the “real” dismal science—especially for builders creating tangible goods. Like public speaking, most dread it until they’ve done it enough to realize they’ll survive. This guide breaks down why forecasting matters and offers practical, time-series-based methods you can start using today.
You’ll learn :
- The difference between causal, qualitative, and time-series forecasting
- Why early-stage builders should focus on time-series approaches
- Four practical models: Historical Comparison, Moving Average, Seasonally-Adjusted Moving Average, and Exponentially-Smoothed Bursting
- How to forecast without historical data by basing production on financial risk tolerance
Whether you’re smoothing volatility with a moving average or modelling demand bursts for new product launches, the goal is the same : optimize resources without over-complicating the process. Track your results, refine your methods, and keep building momentum.
Read the full post or listen to the podcast edition here : https://6catalysts.substack.com/p/holy-bleep-a-guide-to-sales-forecasting