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[INS2] AI Sales & Pricing Cockpit for Motor Vehicle Insurance

Tasco · Posted 10 months ago

Automotive and mobilityConversational AI / ChatbotsPredictive Analytics / Forecasting
Budget
To be determined
Timeline
Not specified
Closed on
13 Jan 2026, 23:59 ICT

Problem statement

Tasco Insurance is experiencing rapid growth in the motor vehicle segment, leading to a sudden surge in claims, causing backlogs, slow processing, high pressure on staff, and risk of fraud. The initial damage assessment process is still predominantly manual, relying on individual experience, which is prone to slowness, inconsistency, and lack of standardization.

Expected outcomes and success metrics

Reduce quotation time to < 1 minute/vehicle. Increase contract closing rate. Improve profit margin through accurate pricing and risk control. Build Tasco's professional, digitized image. Build a dynamic pricing model based on behavioral data: vehicles (telematics), infrastructure equipment, ESS (Energy Storage System), pipelines, etc.

Current process

Tasco's quotations are still mainly Excel-based (5–10 minutes/vehicle).

Current solution

Tasco's quotations are still mainly Excel-based (5–10 minutes/vehicle).

Target users and impacted teams

Agents, Collaborators (CTV), Sales team, Branch Managers, Executive Board & Product department.

Data availability and readiness

Motor vehicle contract data, claims history, sales channel, geographical area, customer segment. Current rules & fee schedules by product/region/channel.

Integration, deployment and infrastructure

Motor vehicle contract data, claims history, sales channel, geographical area, customer segment. Current rules & fee schedules by product/region/channel.

Relevant AI technologies

Conversational AI / ChatbotsPredictive Analytics / Forecasting