SUCCESS STORY
FORCE FDP
Legacy to Cloud Transforming Mitsubishi FUSO’s Dealer Operations
Company Name
FUSO
Industry
Automotive
Location
Japan
Impact
Unified Cloud based CRM Platform
Application
Dealer Operations
A CASE STUDY
Mitsubishi Fuso Truck and Bus Corporation (MFTBC), a Daimler Truck AG subsidiary, is a global leader in commercial vehicles, serving over 170 markets. Embracing Industry 4.0, MFTBC enhances customer and manufacturing efficiency through telematics, predictive maintenance, and a standardized dealer management system. To replace its outdated M-Ban CENTRAGE II system, Cubastion implemented FORCE FDP—a scalable cloud platform with automated workflows and integrated data—boosting operational efficiency, compliance, and customer experience.
Challenges Faced
The reliance on M-Ban created significant business hurdles:
Inconsistent Dealer Operations
Lack of standardized processes across FDPs led to varying customer experiences.
Inefficient Processes
Manual tasks caused delays and wasted resources.
Limited Business Insights
Lack of real time data hindered informed decision making.
Impeded Growth
Scalability limitations restricted FDPs ability to handle increased business volume.
Increased Operational Costs
Inefficient processes and maintenance of legacy systems added to operational expenses.
The Solution
Cubastion Consulting implemented the FORCE FDP project, a comprehensive overhaul of the dealer management system, to address these challenges. The solution involved:
New DMS Solution (Oracle Siebel)
Replacing M-Ban with Oracle Siebel, a modern, scalable CRM system.
Cloud Deployment (Microsoft Azure
Deploying Siebel on Azure for scalability, performance, and cost efficiency.
Multi-Tenant Architecture
Implementing a multi tenant architecture on Azure for security and efficient resource management.
Unified API Gateway
Establishing a unified API gateway for secure and seamless data exchange with external partners.
Business Outcome
Operational Efficiency
50% reduction in FDPs computing requirements 60% fewer data issues during go live (Waves 2 3) 35% print savings with sub 5 second processing for 100k+ prints
Process Optimization
25% fewer approval steps via automated workflows 52% reduction in document types through standardization 66% faster validation with automated sanity testing
System Performance
250k+ real time Retail Finance transactions processed Zero business disruption during migration 4 years of historical data migrated for AI/ analytics readiness
English
Japanese