Allocation Engine
Budget follows signal, not schedule.
The allocation engine translates territory-level signal changes into budget deployment decisions — with confidence thresholds, reallocation triggers, and a persistent decision graph.
Full workflow
Capabilities
Signal-weighted distribution
Budget allocates proportionally to territory signal strength. High-signal zones receive more capital. The weighting adjusts as conditions change.
Confidence thresholds
Allocation only executes when signal confidence exceeds defined minimums. Low-confidence territories are flagged for review, not funded blindly.
Reallocation triggers
When signal conditions change beyond configurable thresholds — competitor surge, weather shift, traffic drop — the engine triggers automatic budget reallocation.
Cross-zone arbitrage
Detect zones where signal strength is rising but allocation has not yet caught up. The engine identifies and acts on cross-territory inefficiencies.
Feedback integration
Execution outcomes feed back into the allocation model. The engine learns which signal patterns predict strong returns and which are noise.
Audit trail
Every allocation decision, trigger event, and rebalance is recorded with full context — signal state, confidence level, and measured outcome.
Under the hood
Decision graph
Allocation decisions are stored as nodes in a directed graph with edges representing causal relationships. This enables pattern detection across territories and time periods.
Constraint solver
The engine operates within configurable constraints — per-zone minimums and maximums, total budget caps, and velocity limits on reallocation.
Immutable audit log
Allocation events are append-only. Once recorded, they cannot be modified or deleted. This provides a defensible record of every deployment decision.
Incremental learning
Decision memory incrementally updates confidence models as new outcome data arrives. No batch retraining required — the system improves continuously.
Use cases
Signal-aware budget rebalancing
When foot traffic surges in Zone B while competitor density drops in Zone A, the engine reallocates budget to capture the cross-zone opportunity before it closes.
Weather-responsive deployment
Temperature drops drive indoor foot traffic up at mall locations. The engine detects the pattern and shifts budget toward territories where weather conditions favor higher exposure.
Compound allocation intelligence
After six months of decision memory, the engine surfaces patterns that manual analysis cannot detect — which signal combinations predict returns in which territory types.