Supply Chain Analytics Transformation: A Leading Manufacturer’s Journey to Real-Time Insights

A leading Lithium-ion battery manufacturer in India saw an opportunity to enhance its supply chain operations through data-driven transformation. While manual reporting was time-consuming and caused delays in decision-making, the company partnered with Systech to implement an automated analytical solution using Power BI and Azure technologies. The implementation led to a significant improvement in efficiency and seamless access to real-time data, empowering faster and smarter decisions across the supply chain. 

Business Needs 

As the company expanded, real-time insights became critical for supply chain optimization. The key challenges included: 

• Eliminating Manual Effort: Reports took 3+ hours daily to generate, delaying key business decisions. 

• Enhancing Decision Making: Slow access to data prevented real-time visibility into supply chain KPIs. 

• Customizing Analytics: The company needed tailored dashboards to track KPIs like Purchase Order Cycle Time, Cost Savings, and Delivery Performance. 

• Ensuring Scalability: Required a future-proof data architecture for expanding operations. 

Solution Process 

Systech adopted a structured hybrid Waterfall-Agile approach to ensure seamless implementation with minimal business disruption. 
1. Requirement Gathering & Planning

• Conducted on-site workshops with business teams to understand current pain points. 

• Defined KPIs and reporting requirements with stakeholders. 

2. Data Integration 

• Developed Azure Data Factory pipelines to extract data from SAP. 

• Transformed and loaded data into Azure SQL Server, ensuring structured storage. 

3. Dashboard Development & Reporting

• Designed Power BI dashboards for supply chain analytics, ensuring real-time insights. 

• Created multiple report pages for tracking different supply chain KPIs (PO cycle time, delivery performance, cost savings). 

• Integrated Power Apps for interactive access. 

4. Testing & Refinement

• Conducted User Acceptance Testing (UAT) with business users. 

• Implemented feedback-driven improvements, fine-tuning the dashboards for usability. 

Challenges Overcome 

• Complex Data Calculations: Streamlined multi-step logic for tracking purchase orders and delivery metrics. 

• Scalability Considerations: Ensured the system could handle expanding data volumes without performance degradation. 

• User Adoption: Designed intuitive dashboards to encourage quick adoption by supply chain teams. 

Business Impact 

The project delivered significant improvements, transforming the manufacturer’s operational efficiency: 

• Reporting time cut by 90%: Automated reporting drastically reduced report generation time, enabling teams to access insights in just 30 minutes instead of 3+ hours. 

• 85% Reduction in Data Defects: Improved data processes led to significantly cleaner reports, minimizing errors and ensuring reliable decision-making. 

• 85% Increase in Productivity: Automation led to streamlining manual tasks, boosting productivity and operational efficiency by 85%. 

• Instant Access to Real-Time Analytics: Users gained instant access to key supply chain metrics, leading to faster and better business decisions. 

• Interactive dashboard enabled deep dive analysis: Advanced dashboard empowered users with data slicing. 

Through this strategic collaboration, Systech has empowered the client with a data-driven supply chain ecosystem. This transformation has positioned them for long-term efficiency, cost savings, and business growth. 

Looking to transform your supply chain analytics? Contact Systech to unlock real-time insights and automation. 

Related Resources:

ADVANCED ANALYTICS, AI & MACHINE LEARNING