Case · September 2026 · Logistics and Transport

Transport Company: 26% Cost Reduction - 167 000$ Saved Annually, 800 Policies with Zero Delays

Renewals used to happen almost daily and sold vehicles stayed covered for months. AIINS digitised the fleet and policies, held a motor own-damage insurance tender—insurance costs dropped by 26%.

LOGISTICS AND TRANSPORT-26%Client: Major freight carrier: 420 tractors, 380 semi-trailers, 9 branches. Insurance portfolio includes motor own-damage insurance, compulsory motor third-party liability insurance (MTPL), carrier liability and cargo insurance. Annual insurance budget—about RUB 54m.
Insurance costs
-26%
Annual savings
167 000$
Motor own-damageCompulsory MTPLLiabilityCargo
Challenge

800 policies with different dates—almost daily renewals. Sold or retired vehicles continued to be insured for months. New tractors often operated without motor own-damage insurance for up to two weeks while documents were prepared. The entire fleet was insured with one insurer, on a flat tariff, regardless of vehicle age.

Solution

Uploaded the transport register and all policies to AIINS, linking each policy to the specific vehicle. Reconciled the fleet with the policies and excluded 37 sold or written-off units. Set up notifications for renewals and for new vehicles without policies. Held a motor own-damage insurance tender segmenting the fleet by age and optimised deductibles—15 insurers submitted offers.

Result

-26% in insurance costs – 167 000$ saved annually ; 0 overdue policies out of 800 units; 2 days from purchase to motor own-damage insurance policy ; 37 units unnecessary coverage removed

“With 800 vehicles, insurance becomes an invisible assembly line. AIINS revealed how much we paid for vehicles no longer in service. Now, every new tractor goes on the road with a policy, and our insurance budget is a quarter lower.”

Results are based on projects in the specified industries. Your outcomes may vary depending on your data, integrations and implementation stage. Based on internal analytics.

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