80%+
Reduction in process time
At least an 80% reduction in the time the allocation cycle takes.
Case 05
Reducing a Critical Allocation Process by More Than 80% While Achieving 95%+ Accuracy
A manual allocation process rebuilt as governed logic, cutting cycle time by more than 80% while holding accuracy above 95%.
- Client
- A large operating organization
- Industry
- Other
- Decision domain
- Operational allocation and exception handling
- Capabilities
- Optimization · Data · Advanced Analytics & AI
Measured outcomes
What changed.
95%+
Allocation accuracy
Accuracy greater than 95% against the agreed measure.
The situation
Where the work started.
A large operating organization ran a critical allocation process manually, across spreadsheets and email, on a recurring cycle.
The process consumed significant analyst time and its results were difficult to audit or reproduce.
Decision at stakeHow a constrained resource is allocated each cycle, and which exceptions require human judgment.
What prevented the decision
The constraints that had to be removed.
- Allocation rules existed as practice rather than as documented logic.
- Every cycle repeated the same manual reconciliation work.
- No consistent measure of allocation accuracy.
What SMPLCTY delivered
The system we built.
- Documented allocation logic
- Existing practice captured as explicit, reviewable rules with named owners.
- Automated allocation and exception routing
- Routine allocations handled by the system; genuine exceptions routed to the people who should judge them.
- Accuracy measurement
- A defined accuracy measure tracked each cycle so performance is observable rather than assumed.
Implementation
- 01Reconstructed the current process and its implicit rules with the operating team.
- 02Built and tested the allocation logic against historical cycles before cutover.
- 03Ran parallel cycles until accuracy was demonstrated, then transferred ownership.
Applied here
Services and solutions behind this work.
Services
Advanced Analytics & AIForecasting, optimization, predictive models, and applied AI deployed where they measurably shorten the distance to a decision.Data Foundations & GovernanceThe pipelines, models, definitions and governance required by the decisions you have prioritized — scoped to purpose, not to completeness.
Related work
Comparable decisions.
Case 04Cutting Product Launch Time by 50% Through Portfolio and Resource OptimizationSequencing and resource allocation modeled against real capacity constraints, halving the time from decision to launch.Case 07How a Homeless Services Organization Cut Reporting Time by 50%Funder and program reporting rebuilt on a governed data foundation, halving reporting time and returning capacity to service delivery.
Have a decision like this one?
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