The organization’s dealer and customer service teams relied on manual processes to respond to parts enquiries, resulting in turnaround times ranging from hours to days. Increasing enquiry volumes, manual part lookups, and inconsistent information affected service quality and customer satisfaction.
The client needed an intelligent solution that could accurately identify parts, automate routine workflows, and deliver real-time responses without increasing operational costs. The objective was to improve efficiency, reduce manual effort, and create a scalable support experience for both customers and dealers.
Digile implemented a Gen-AI powered enquiry platform on Microsoft Azure that combined natural language processing, semantic search, and intelligent automation to streamline the entire enquiry lifecycle.
The solution enabled users to search using VIN numbers or natural language descriptions while automating repetitive support tasks and continuously improving knowledge accuracy through AI-powered learning.
The solution included:
The Gen-AI solution transformed the parts enquiry process into a faster, more intelligent, and scalable support experience, improving both operational efficiency and customer satisfaction.
- Increased agent productivity through AI-assisted enquiry handling
- Reduced response times for dealers and customers
- Improved accuracy in parts identification and recommendations
- Automated repetitive support workflows
- Enhanced customer satisfaction through faster service
- Reduced manual effort across support operations
- Continuous knowledge improvement through AI learning
- Scalable platform supporting future business growth
By combining Gen-AI with intelligent automation, Digile helped the organization modernize its parts enquiry operations, enabling faster decision-making, improved service quality, and a future-ready customer support ecosystem.