Featured Projects

Manual processes at the FMCG distribution network caused significant delays, high error rates, and an inability to scale without proportionally increasing headcount.

Deployed end-to-end workflow automation for the FMCG distribution network using AI agents and RPA, reducing manual touchpoints to below 10 percent and quadrupling processing speed.

The construction materials producer was running several legacy systems with no integration, making data consolidation and reporting a multi-hour daily task.

Built a data integration layer for the construction materials producer connecting all legacy systems, providing a single source of truth and automated scheduled reporting.

Management at the investment fund manager relied on outdated reports, lacked real-time operational data, and had no trend analysis tools to support decisions.

Deployed a decision intelligence system for the investment fund manager with real-time dashboards, trend analysis, and smart alerts based on custom thresholds.

Internal approval workflows at the telemedicine and remote consultation platform involved too many manual steps, lacked status transparency, and regularly bottlenecked at handoff points between departments.

Digitized and automated all approval workflows for the telemedicine and remote consultation platform on a custom BPM platform with integrated auto-notifications and real-time status tracking.

The multi-level private school system had no real-time operational analytics capability, leading to reactive rather than proactive decisions and missed optimization opportunities.

Built a data warehouse and analytics platform for the multi-level private school system integrating machine learning to detect patterns, forecast trends, and automatically generate management insights.

The industrial real estate investment firm's supply chain and operations lacked accurate demand forecasting, resulting in suboptimal inventory levels and elevated logistics costs.

Deployed an intelligent supply chain planning system for the industrial real estate investment firm using AI demand forecasting and inventory optimization, integrated with the existing ERP.

The coffee and beverage chain had no centralized monitoring system; incidents were typically discovered late after causing significant damage and operational disruption.

Built a centralized monitoring system for the coffee and beverage chain with real-time dashboards, AI anomaly detection, automated alerts, and clearly defined escalation workflows.

The multimodal freight company operated across multiple disconnected systems with fragmented data and no real-time visibility into operational performance.

Built a centralized management platform for the multimodal freight company integrating AI analytics and real-time dashboards, replacing all disconnected systems with a unified solution.