A leading automobile manufacturer in India specializing in passenger vehicles, commercial vehicles, and electric vehicles (EVs). The company operates a widespread network of manufacturing plants, distribution channels, and service centers. Facing increased competition and a rapidly evolving market, the company sought a business intelligence (BI) solution to drive data-driven decision-making.
Hours delivered back to the business
SOX compliance in Settlement process automation
Success rate of bot case completion
For functional release of OBT, RTS and OGS
The Chalange
The automobile company faced several challenges due to siloed data systems across manufacturing, supply chain, and dealership operations. This fragmentation led to delays in production planning, inventory management, and customer insights. Additionally, manual reporting processes hindered real-time decision-making, while increasing regulatory requirements demanded better data governance and compliance. The company’s objectives were to:
Integrate data from diverse sources into a unified platform.
Enable real-time insights for better operational efficiency.
Enhance supply chain visibility and optimize inventory management.
Ensure compliance with industry regulations and standards.
Leverage AI to predict demand and improve customer experience.
What did
Tecnologia do
The company partnered with us to implement Microsoft Fabric, a comprehensive data and analytics platform designed to unify and streamline data operations. The solution included:
Data Integration and Storage:
Leveraged Microsoft Fabric’s Data Factory to integrate data from on-premises ERP systems, IoT sensors in manufacturing plants, supply chain management platforms, and CRM systems used by dealerships.
Centralized all data in OneLake, Microsoft Fabric’s unified data lake, enabling consistent access and scalability.
Real-Time Analytics and Reporting:
Implemented Synapse Analytics to process large volumes of data and generate actionable insights.
Built interactive Power BI dashboards for real-time monitoring of production metrics, inventory levels, and sales performance.
Supply Chain Optimization:
Utilized Synapse Data Science to develop predictive models for demand forecasting, ensuring optimal inventory levels and reduced stockouts.
Enhanced visibility into the supply chain, enabling proactive identification and resolution of bottlenecks.
Governance and Compliance:
Deployed Microsoft Purview for data governance, ensuring secure access controls, lineage tracking, and compliance with regulatory standards such as BS VI norms and sustainability guidelines.
AI and Machine Learning:
Deployed AI-driven solutions to analyze customer feedback and personalize marketing strategies.
Implemented predictive maintenance models for manufacturing equipment, reducing downtime and operational costs.
The Results
- 500+ processes migrated to BI
- Over 10,000 users received real time insights
- Predictive analytics optimized inventory, reducing carrying costs by 20%.
- Operational bottlenecks were reduced by 25%, enhancing overall efficiency.
- Streamlined reporting processes cut report generation time by 60%.
