Featured Projects

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

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

Manual processes at the fashion and accessories retailer caused significant delays, high error rates, and an inability to scale without proportionally increasing headcount.

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

The garment and textile exporter 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 garment and textile exporter connecting all legacy systems, providing a single source of truth and automated scheduled reporting.

Management at the peer-to-peer lending fintech platform relied on outdated reports, lacked real-time operational data, and had no trend analysis tools to support decisions.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 peer-to-peer lending fintech platform with real-time dashboards, trend analysis, and smart alerts based on custom thresholds.

Internal approval workflows at the medical testing center involved too many manual steps, lacked status transparency, and regularly bottlenecked at handoff points between departments.

Digitized and automated all approval workflows for the medical testing center on a custom BPM platform with integrated auto-notifications and real-time status tracking.

The corporate training company 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 corporate training company integrating machine learning to detect patterns, forecast trends, and automatically generate management insights.

The property management and rental company'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 property management and rental company using AI demand forecasting and inventory optimization, integrated with the existing ERP.

The aquaculture enterprise's customer service team was overwhelmed, response times were slow, and there was no after-hours coverage, impacting experience and retention.

Deployed a multi-channel AI chatbot for the aquaculture enterprise based on RAG with a product and service knowledge base, operating 24/7 and auto-escalating complex cases to staff.