Sales Prediction — Complete Guide
Sales Prediction — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 42 of 100
Sales Prediction
Foundations ✓ → Models → NLP & advanced → MLOps
Models · 2 — Classify & regress · ~6 min · Module 5: Regression Models
What is this?
Sales prediction forecasts units or revenue from history, seasonality, and promos.
Why should you care?
AIPredict merchandising plans inventory from model output, not gut feel alone.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
var pipeline = ml.Transforms.CopyColumns("Label", "Units")
.Append(ml.Transforms.Concatenate("Features", "Lag7", "Month", "IsPromo", "Price"))
.Append(ml.Regression.Trainers.FastTree());
What happened?
- Include promo flags.
- Evaluate by SKU group.
- Cap negative predictions at zero for units.
Practice next
- FastTree on Lag7+Promo.
- Clamp pred >= 0.
- MAE by category.
- Add holiday flag.
- Compare to moving average.
Remember
Lags + promo. Clamp units. Segment MAE.
AIPredict units forecast
Buyers see predicted Units.
Outcome: Stockouts drop on promo weeks.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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