Summary #
This guide helps you quickly identify and resolve the most common reasons your forecast may appear incorrect.
When to Use This #
- Forecast values seem too high or too low
- Forecasts don’t match expectations
- Results changed unexpectedly
Steps / Instructions #
Work through this checklist:
1. Check Your Sales Data #
- Is historical sales data complete?
- Are there missing time periods?
👉 If not, fix in your source system
2. Review Your Sales Curve #
- Does the curve reflect actual demand patterns?
- Does it total 100%?
👉 Adjust if distribution looks off
3. Validate Product Attributes #
- Are products grouped correctly?
- Any inconsistencies in attributes?
👉 Standardize values
4. Check Recent Data Updates #
- Did new data recently sync?
- Were there unexpected changes?
👉 Review recent uploads
5. Review Manual Adjustments #
- Were forecasts edited manually?
- Were changes saved correctly?
👉 Confirm entries
6. Look for Alerts #
- Are there system alerts or flags?
👉 Adjust forecasts as needed
What to Expect #
- Most forecast issues are tied to data quality or setup
- Fixes will reflect after the next sync or save
- Small changes can significantly impact results
Common Issues #
Issue: Forecast changed suddenly
Fix: Check recent data sync or manual edits
Issue: Forecast doesn’t match expectations
Fix: Review sales curve and historical data
Related Articles #
- How to Create a Sales Curve
- How Nightly Data Sync Works
- Common Data Errors & Fixes
Notes / Tips #
- Forecasting is iterative—adjustments are normal
- Always validate data before adjusting forecasts