Is your planning system helping,
or quietly costing you?
Most planning systems are evaluated for accuracy—but not for how their decisions behave when reality diverges from the plan. METRAI stress-tests your current planning system—AI-powered or otherwise—and shows what to do next.
System Diagnostic Report
Behavioral health check
Find the failure modes your planners are already working around.
Stability under volatility
Does the system separate noise from signal?
Constraint adherence
Do recommendations fit operational reality?
Planner trust
Can your team explain and use the output?
Typically 4 weeks from data scoping to final readout
Signs it is time for a diagnostic
Your planners may already be telling you.
Planners override the system’s recommendations more often than they accept them
Promotions and new items regularly end in stockouts or excess inventory
Forecasts swing with every short-term spike, or ignore real demand shifts
Nobody can explain why the system recommended what it did
Your vendor shipped a major update or new AI module, and you’re not sure what changed
Leadership is asking whether to replace your planning system
The diagnostic question
Accuracy is not the same as good decisions.
Your system may look fine on MAPE while overreacting to noise, missing hidden stockouts, or ignoring constraints your planners fix by hand every week.
What we examine
- Stability and responsiveness
- Constraint adherence
- Explainability and planner trust
- Override patterns and business impact
What you learn
- Where the system performs well
- Specific scenarios where decisions break down
- What to tune or configure
- Whether replacement is justified
How the diagnostic works
From historical behavior to a tune-or-replace verdict.
Scoping
Pick the planning domain and decisions that matter most to you.
Historical replay
Use historical inputs and decisions already available to your team.
Scenario stress-testing
Run standard scenarios: demand spikes, promotions, new items, late data, supplier delays, and constraint shifts.
Behavioral scoring
Score stability, responsiveness, constraint adherence, explainability, and planner trust.
Diagnostic report and readout
Walk through findings, prioritized fixes, and a tune-or-replace recommendation.
Many diagnostics can be conducted using historical inputs and decisions already available to your team. Live system access or vendor cooperation is not always required.
Shared assessment foundation
The same scenarios expose real behavioral differences.
Every assessment is built around the specific operational conditions that matter in your planning domain.
Demand Planning & Forecasting
Evaluate how planning systems behave when forecasts shift, promotions hit, new items launch, or data is incomplete. The question is not accuracy—it is whether the system's decisions hold up when reality diverges from the plan.
Real-world scenarios we evaluate
- Demand Spikes and Drops
- New Products with Little History
- Promotions and Lift
- Late or Messy Data
Demand Planning & Forecasting
Sample Question #1
Does the forecast overreact to short-term spikes, or does it separate noise from real demand changes?
Why it matters: Overreactive forecasts create bullwhip effects upstream. An AI that chases every blip can amplify volatility across your supply chain—costing you in excess orders, expediting fees, and planner overtime.
Independent means honest
The answer may be tune—or replace.
METRAI does not accept referral fees, commissions, or partnership revenue from software vendors. If your system is capable, you’ll know how to tune it. If it isn’t, you’ll know exactly why.
Find out how your planning system really behaves.
Book a short call. We’ll tell you whether a diagnostic makes sense for your situation.