A Data-Driven Enhancement Plan for a Campus Laundry Service
Capstone Project – Business Data Management (BDM)
IIT Madras BS in Data Science and Applications
By Mallu Shamanthak Reddy | Roll No: 23f2001942
WashWise presents a strategic improvement plan for Sri Sai Laundry Services, located at BITS Pilani Hyderabad Campus.
The business faced:
- Space inefficiencies
- Operational disruptions due to weather
- High outsourcing costs for dry-cleaning services
Using real operational data, this project delivers analytical insights and practical solutions to enhance profitability and efficiency.
- Optimize layout and workflow through K-Means clustering
- Mitigate weather-related losses using regression modeling
- Improve profit margins through cost-benefit analysis of in-house operations
| Problem | Solution | Tools Used |
|---|---|---|
| Congested storage & delays | K-Means Clustering by demand blocks | Python, Excel |
| Rain-induced cost spikes | Regression: Rainfall vs Utility costs | Python, StatsModels, Visual Crossing API |
| High outsourcing cost | NPV-based Cost-Benefit Analysis | Excel, Python |
- Python – pandas, scikit-learn, statsmodels, matplotlib
- Excel – Preprocessing, cleaning, financial modeling
- Visual Crossing API – Historical weather data
- VM & VK hostels and H Block faculty are high-demand clusters
- Rainy days increase utility costs by ₹1,111/day
- Switching to in-house dry cleaning yields ₹73,000+ savings in 3 months
Mallu Shamanthak Reddy
IIT Madras BS in Data Science & Applications
Academic project submitted under IITM BSc Degree guidelines. All recommendations are business-specific and non-commercial.