automotive
Finance
representative

Empirical Risk Based Commercial Fleet Insurance Optimization

A national logistics and parcel delivery corporation operating a fleet of 4,000 delivery vehicles, spending $12M annually on comprehensive commercial auto insurance premiums.

Runs onYukti

net annual fleet insurance expenditure reduced: $1.48Mnet annual fleet insurance expenditure reduced
fleet collision frequency reduced: 22%fleet collision frequency reduced

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Insurance policies and deductibles were renewed annually on flat, generalized fleet rating models without reflecting driver safety improvements.
The company paid massive fixed insurance premiums even for top performing regional sub fleets that experienced virtually zero collision losses.
Risk managers could not model the financial trade offs of raising per vehicle deductibles to reduce fixed annual premium payments.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Telematics Driver Behavior & Risk Profiling

Yukti aggregates real time safety telematics (hard braking, speeding, cornering, collision events) across all 4,000 fleet vehicles.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Net annual fleet insurance expenditure reduced by $1.48M through empirical risk based policy restructuring.
Fleet collision frequency reduced by 22% through telematics driver risk monitoring.
Empowered executive risk officers with complete actuarial visibility during underwriter policy negotiations.

Capabilities this relies on

system connectors
forecasting
risk scoring
scenario simulation
alert routing
evidence audit trail

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