[TA1] Comprehensive Customer Lifecycle Management & Multi-channel Experience Personalization based on 360-degree Profile
Tasco · Posted 10 months ago
Automotive and mobilityGenerative AI
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 15 Jan 2026, 23:59 ICT
Problem statement
Online leads are not fully optimized; lead distribution is suboptimal; sales follow-up is not timely, relying on individual experience. Customer experience is inconsistent, feedback data is fragmented (call, chat, email...). Marketing activities are dispersed, promotions are not personalized, and campaign effectiveness is low. Customer data is fragmented, inaccurate, and lacks a unified Customer 360 Profile.
Expected outcomes and success metrics
- Increase lead-to-contract conversion rate, efficient lead distribution.
- Standardize CS quality, early detection of experience bottlenecks.
- Personalize messages/promotions, increase digital marketing effectiveness.
- Build a unified Customer 360 Profile, improve data accuracy, serving as a foundation for AI.
Current process
N/A
Current solution
N/A
Target users and impacted teams
Sales Team, Marketing, Customer Service (CS), Business/Dealer Management, Executive Board, IT.
Data availability and readiness
Online lead data, historical sales data, existing customer files, interaction & purchase history, data from branches (not yet synchronized). Unstructured data from call recordings, chat, email, customer feedback.
Integration, deployment and infrastructure
It is a mandatory foundation for deploying other AI use cases. Suitable for the context of expanding digital channels and reducing reliance on showrooms. It is a pillar for scaling up to millions of customers and building a "peace of mind journey."
Relevant AI technologies
Generative AI