Bhubalan Mani
Fueling Supply Chain Excellence with a Passion for Data-Driven Insights
- Role
- Lead - Supply Chain Technology & Analytics at Garmin
- Location
- Olathe, KS, US
- LinkedIn followers
- 500 followers
About Bhubalan Mani
Accomplished Supply Chain Technology and Analytics Expert with a demonstrated history of excelling in Technical Design, Development, and Support of Enterprise Applications that facilitate optimized Supply Chain Management. Proficient in Systems Analysis, Software Development, and Business Process Enhancement. Highly skilled at collaborating with Business Stakeholders to transform requirements into Precise Technical Specifications and Practical Solutions.
Experience
Lead - Supply Chain Technology & Analytics
Jul 2020 — Present · Olathe, KS, US
Led enterprise-wide supply chain analytics and digital transformation initiatives using Lean Six Sigma, advanced analytics, and AI-driven intelligence, directly improving planning efficiency, scalability, and business responsiveness.• Reduced MRP plan runtime by 48%, improving SLA adherence, accelerating plan availability, and delivering ~$70K in monthly savings through recovered man-hours and deferred infrastructure investments.• Decreased planning database footprint by 30 GB and removed 110M records, enhancing system performance, process reliability, and sustainability of data operations across global sites.• Transformed long-term planning process for critical service/replacement products by reducing runtime from 24+ Hrs to 3 Hrs, accelerating strategic decision cycles, and ensuring continuity for high-impact, mission-driven operations.• Executed Predictive Analytics–Driven Optimization to reduce MRP runtime variability by 35%, leveraging regression modeling, SHAP interpretability, and cross-validation for predictive stability and proactive infrastructure right-sizing.• Designed and deployed QLIK dashboards on component shortages, supply-demand matching, and inventory projections, improving visibility and control over $500M+ in global inventory operations and enabling data-driven S & OP decisions.• Developed Python-based system performance and SLA monitoring tools to automate diagnostics, detect anomalies, and reduce recurring plan exceptions by 15% through continuous feedback loops.• Applied the DMAIC methodology across critical supply chain processes to eliminate waste, streamline planning workflows, and institutionalize continuous improvement culture across global planning functions.• Partnered with cross-functional engineering and business leadership teams to align analytics initiatives with enterprise objectives, delivering scalable frameworks that advanced operational excellence, cost avoidance, and resilience across global supply chain footprint.
Education
Symbiosis Centre for Distance Learning
Post Graduate Diploma, Supply Chain Management
University of Tennessee, Knoxville
Doctor of Philosophy - PhD, Industrial Engineering
2030
Arizona State University
Master's degree, Computer Science
University of Madras
Bachelor of Engineering - BE, Mechanical Engineering
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