A Case Study
Project Title: Leveraging AI-Driven Predictive Analytics for Enhanced Order Management and Collection Strategies
Client: Radiant Distributions Limited
(Subsidiary of Radiant Pharmaceuticals)
Category: AI & Predictive Analytics | Supply Chain Optimization
Year: 2026
A Case Study
This project implements AI-driven predictive analytics at Radiant Distributions Limited to modernize pharmaceutical order management and collection strategies. By developing time-series Machine Learning models for demand forecasting, an AI-based collection scorecard for credit risk prediction, and a real-time Power BI dashboard, the solution aims to reduce stock imbalances, improve cash flow, and enhance overall operational efficiency. Key technologies include Python, Scikit-learn, XGBoost, LSTM, SQL, and Power BI. The expected impact includes lower inventory costs, faster collections, and stronger data-driven decision-making for the company.
Climate Resilience & Community Adaptation Assessment
ART Lab is conducting a detailed study on climate change impacts and community resilience in coastal and flood-prone areas of Bangladesh. The project assesses local vulnerabilities, adaptive capacities, and the effectiveness of ongoing resilience initiatives to support evidence-based climate adaptation strategies.
Climate Resilience & Community Adaptation Assessment
This study involves mixed-method data collection across vulnerable districts to identify key climate risks, gaps in early warning systems, and community needs for sustainable adaptation. Findings will provide actionable recommendations for NGOs, government agencies, and development partners to strengthen community resilience and reduce disaster risks in Bangladesh.
Feasibility Study & Needs Assessment
ART Lab is conducting a comprehensive Healthcare Utilization, Accessibility, and Service Gap Assessment in Joypurhat District to evaluate the feasibility of establishing a modern multi-specialty healthcare center. The study focuses on community needs for specialized services including physiotherapy, dental, eye care, and kidney dialysis.
Feasibility Study & Needs Assessment
This feasibility study involves surveying 300 community members and 40–50 healthcare professionals in Joypurhat District to identify current healthcare access barriers, service gaps, and demand for specialized services. Through structured interviews and analysis, ART Lab will provide evidence-based recommendations to support the development of improved, accessible, and high-quality healthcare infrastructure for the local population.
Expected Outcome: Actionable insights for establishing a modern multi-specialty healthcare center.
Market Research & Feasibility Study for Agro-Processing Hub
ART Lab is carrying out a comprehensive market research and feasibility assessment for establishing an agro-processing hub in northern Bangladesh. The study evaluates market demand, supply chain opportunities, and economic viability for value-added agricultural products.
Market Research & Feasibility Study for Agro-Processing Hub
Focusing on local farmers, processors, and markets in Rangpur and Rajshahi divisions, this project analyzes crop potential, infrastructure needs, and investment viability. The outcomes will guide stakeholders in developing a modern agro-processing facility that boosts farmer income, creates employment, and strengthens Bangladesh’s agricultural value chain.