[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