Forecasting methods, accuracy, and planning demand across DTC, Amazon, retail, and wholesale. How to build a forecast you can actually order against, and how to tell when it is wrong.
A new flavour rarely creates demand. It moves it. How to forecast a launch that takes sales from a product you already sell, how to measure how much it took, and what to do about the buy on both sides.
· 7 min read
Demand planning asks what will sell. Supply planning asks what that costs in cash, capacity and lead time. How to build the second one, step by step, and what it catches that a forecast alone never will.
· 7 min read
Demand forecasting is the estimate of how many units you will sell, by SKU and by channel, over a stated period. The four methods CPG brands actually use, what data each one needs, the conditions that break them, and how to tell whether yours is working.
· 10 min read
Sales thinks demand will be 20% higher. Operations thinks last year's numbers are right. Finance split the difference. Sound familiar? Consensus forecasting solves this.
· 6 min read
Static forecasts go stale. Rolling forecasts evolve with your business. Here's how to build a forecasting process that stays current and actually drives decisions.
· 6 min read
You don't need a PhD to use statistical forecasting. Here's a practical overview of the methods that work for CPG brands—and when to use each one.
· 6 min read
Forecasting looks forward using historical patterns. Sensing looks at now using real-time signals. Understanding the difference—and when each matters—improves your demand planning.
· 5 min read
A new SKU has no sales history, so you forecast it from something else: an analogue SKU, the retailer's own commitment, and then the first real weeks of sell-through. What each is good for, and exactly when each stops being trustworthy.
· 8 min read
Every forecast error has a cost—whether it's lost sales from stockouts or cash trapped in excess inventory. Here's how to quantify what inaccurate forecasting is actually costing your business.
· 6 min read
Some businesses need weekly forecasts to stay responsive. Others do fine with monthly. Here's how to decide which cadence fits your operations—and when to change it.
· 5 min read
Promotions spike demand—but how much? And what happens after? Here's how to adjust your forecasts for promotional events without getting whipsawed by the volatility.
· 6 min read
Measure seasonality per SKU, not as one curve for the catalogue. Remove growth and promotions before you calculate it, then work back from the peak through real lead times to the date each order has to be placed.
· 6 min read
There is no forecast accuracy benchmark worth planning against. What to measure instead, at which level, what bias tells you that error does not, and how to read your own number when it moves.
· 8 min read
A demand planning system forecasts every SKU, keeps the forecast current and hands a demand number to purchasing. When one SKU sells through retail, wholesale, DTC and Amazon, it has to keep each channel separate until the buying decision.
· 7 min read
You don't need a team of data scientists to build reliable demand forecasts. Here's how operations teams at growing brands can create actionable forecasts with the data they already have.
· 6 min read