Assess Stock ageing evidence
Rate how well stock ageing evidence supports the decision. It contributes 40% of the result.
MVP DECISION TOOL
Dead Stock AI
Estimate dead-stock action readiness from ageing, carrying cost, and viable disposition options.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
YOUR INPUTS
Enter your operating data
Use the most recent information available. Your result is calculated from these values.
YOUR RESULT
0/100
Result
- Calculation
Recommended next step
- Review the oldest high-value stock first and choose a transfer, return, discount, or liquidation test.
How it works
Check Carrying-cost visibility
Score carrying-cost visibility independently so a strong first factor does not hide a material gap. It contributes 30%.
Use Disposition options to choose the next action
Rate disposition options, then use the weighted result to decide what to validate or improve first. It contributes 30%.
Continue learning: More logistics & supply chain guidance from MVPHub
Frequently asked questions
What does Dead Stock AI measure?
It combines ratings for stock ageing evidence, carrying-cost visibility, and disposition options into a focused planning signal.
Why is Stock ageing evidence weighted at 40%?
The weight reflects how directly this factor affects the decision. Every weight is shown so the result remains explainable.
How should I use a low Dead Stock AI score?
Improve the weakest input, collect the missing evidence, and reassess when the situation changes.
How We Compare
| Feature | MVPHub | Miro | Notion |
|---|---|---|---|
| Dead Stock AI weighted calculation | Included | Limited | Limited |
| Input-specific next step for stock ageing evidence | Included | Limited | Limited |
| Flexible collaboration workspace | Limited | Included | Included |
Dead Stock AI turns three focused inputs into a transparent weighted result. Miro and Notion are flexible workspaces for documenting the surrounding research, decisions, and follow-up work.
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