Enter the KPI deterioration and rate each candidate cause
Add how much a KPI deteriorated this period, then rate on a 0-10 scale how likely supplier, location, carrier, and product/SKU each contributed.
ROOT-CAUSE LIKELIHOOD RANKING
RootCause AI
Enter your KPI deterioration and rate how likely each candidate cause contributed to get a weighted root-cause-likelihood ranking.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate a weighted likelihood ranking
Your ratings are normalized into a weighted share of likelihood across the four candidate causes, ranked from most to least likely.
Get a concentration score and where to investigate first
The result highlights whether one cause clearly stands out or the likelihood is spread across multiple candidates, guiding where to look first.
Continue learning: MVP development checklist · How an MVP reduces cost and risk
Frequently asked questions
Does RootCause AI automatically analyze my logistics data to find the real cause?
No. RootCause AI does not perform automated root-cause analysis or connect to your operational data. It computes a weighted ranking only from the likelihood ratings you enter — it is a structured way to organize your own judgment, not a diagnostic engine.
How should I decide my likelihood ratings?
Base them on whatever evidence you already have — recent supplier changes, site-specific issues, carrier performance reports, or product/SKU-specific problems. A rating of 10 means you strongly suspect that factor; 0 means you rule it out.
What if two causes seem equally likely?
Rate them similarly — the tool will show both near the top of the ranking rather than forcing a single answer, which is often the honest result when a deterioration has more than one contributing factor.
Can I add more candidate causes than these four?
This version covers four common categories — supplier, location, carrier, and product/SKU. If your suspected cause doesn't fit any category, fold it into the closest one and note the specifics separately.
Is the resulting ranking proof of the actual cause?
No — it organizes your own assessment into a clearer priority order. Always confirm with real records or data before taking corrective action based on the ranking alone.
How We Compare
| Feature | MVPHub | FourKites | project44 |
|---|---|---|---|
| Instant weighted root-cause ranking | Included | Limited | Limited |
| Automated data-driven root-cause analysis | Not included | Included | Included |
| No signup required to try the calculation | Included | Not included | Not included |
| Live supplier/carrier performance data feeds | Not included | Included | Included |
FourKites and project44 offer automated, data-driven root-cause analysis fed by live performance data. MVPHub gives a fast, transparent way to structure your own judgment, with no setup.
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