Real numbers at scale.
Verified outcomes.
These numbers come from running Clarix on a real specialty chemicals manufacturer's actual planning data. Every figure is traceable to an individual decision.
Case Study: Specialty Chemicals
The Engagement
Deployment of structured governance chains over 524 controlled SKUs. Shifted Ahmedabad facility from speculative forecasting to hard-number planning decisions with full audit trails.
Active Tab Audit Context
Safety Stock Optimization: Re-classified safety configurations against 7 horizons of current demand reality. Released capital locked since ERP go-live with zero service level degradation.
One-time structural release from safety stock reclassification. (Specialty Chemicals Manufacturer · 524 SKUs · Ahmedabad)
Active SKUs identified and reclassified from Make-to-Stock, eliminating unnecessary inventory buffer.
Freed from structural surplus during the initial 30 days of client onboarding. (Specialty Chemicals Manufacturer · 524 SKUs · Ahmedabad)
Second consecutive cycle of capital release under active governance. Same client portfolio.
Decision Accuracy
Percentage of governed SKU planning decisions that produced correct financial outcomes. Measured across 524 SKUs and 7 planning cycles.
These are not projections. Every number is traceable to an individual decision.
What 79% decision accuracy means
Traditional planning reports forecast accuracy as a percentage error. Clarix reports decision accuracy as the percentage of planning decisions that were financially correct — measured before the decision was executed, not after.
Forecast Accuracy (%)
Tells you how wrong last month's numbers were. Does not tell you what any decision cost. Does not change what you do next month. Backwards-looking and financially uninformative.
Decision Accuracy — Clarix
Tells you what percentage of governed decisions produced the correct rupee outcome. Traceable to every SKU, every horizon, every cycle. Improves over time as the system learns.