Data-Driven Transformation in Optical Manufacturing

The customer faced growing complexity in managing product quality revisions, distributor relations, and internal operations. They lacked visibility into product defects, which made it difficult to improve production and reduce returns. Teams also had to analyze quality data manually using emails and Excel, which slowed down decisions. In addition, an outdated ERP system hindered agility, while fragmented communication and mounting distributor pressure strained sales and service teams. To scale globally and improve quality, the business needed to modernize its core systems and start using AI more effectively to turn operational data into actionable insights.

Brimit led a data-driven transformation focused on AI-powered analytics, supported by ERP modernization and a self-service distributor portal to ensure efficiency across the value chain, built for scale.

AI-driven quality and forecasting analytics

• Analyzed 23GB of enterprise data across 577 tables
• Applied DPPM metrics and AI-powered pattern recognition to detect high-defect products for targeted quality improvements to reduce product returns
• Used time-series modeling and predictive analytics to forecast seasonal demand
• Unified sales, warranty, and production data to provide end-to-end visibility

ERP modernization as AI enablement

• Replatformed legacy ERP to Microsoft Azure to provide scalability and integration with third-party services
• Re-architected existing modules to provide more flexibility and faster change implementation
• Established DevOps and CI/CD practices to accelerate delivery and reduce technical debt

Distributor portal for sales and service efficiency

• Built a self-service portal on SharePoint that streamlines orders, returns, and marketing collaboration
• Introduced real-time visibility into order status, RMA tracking, and campaign planning
• Reduced manual workflows and empowered distributors with access to core product data

• AI-powered product quality improvements with advanced analytics to reveal high-defect SKUs and help reduce warranty returns
• Forecast-driven production planning with predictive insights into seasonal demand and production timing
• Unified distributor operations, fueling the AI data loop to capture structured, real-time data on returns, defects, and orders to provide accurate quality analytics and faster insight-to-action cycles
• Modern ERP on a scalable Azure platform with modular architecture and DevOps pipelines to accelerate new feature delivery and simplify maintenance