Case Study

How Khushbu Nirman Sewa Digitized Construction Management

AI-powered project tracking and resource optimization in Nepal's construction sector

Client: Khushbu Nirman Sewa Industry: Construction Location: Kathmandu, Nepal

40% reduction in project delays

₨2.5 crore saved in first year

Real-time visibility across 15+ active sites

85% reduction in manual reporting time

About Khushbu Nirman Sewa

Khushbu Nirman Sewa is a leading construction company based in Kathmandu, Nepal. With over 15 active construction sites across Kathmandu Valley, they manage residential buildings, commercial complexes, and infrastructure projects. Founded in 2015, the company has grown to 200+ employees and is known for delivering quality construction on schedule.

The challenge

Managing 15+ construction sites across Kathmandu Valley with paper-based tracking, leading to delayed updates, resource misallocation, and cost overruns.

Key pain points:

  • • Site supervisors used paper forms, causing 2-3 day delays in reporting
  • • No visibility into resource utilization across sites
  • • Material wastage averaged 15% due to poor tracking
  • • Project delays were common, averaging 20% over schedule

The solution

Implemented Zunkiree's AI-powered project management platform with mobile data collection, automated resource optimization, and predictive delay alerts.

Mobile data collection

Site supervisors use a mobile app to log daily progress, issues, and resource usage in real-time.

AI-powered resource optimization

Machine learning algorithms predict resource needs and suggest optimal allocation across sites.

Predictive delay alerts

AI analyzes patterns to predict potential delays 2-3 weeks in advance, allowing proactive intervention.

Centralized dashboard

Management has real-time visibility into all 15+ sites from a single dashboard.

The results

40% reduction in project delays

NPR 2.5 crore saved in first year

Real-time visibility across 15+ active sites

85% reduction in manual reporting time

Key takeaways

1.

Start with data collection: The foundation of AI is good data. Mobile apps for field workers were the critical first step.

2.

Predictive > reactive: AI's real value is predicting problems before they occur, not just reporting on what happened.

3.

ROI is measurable: NPR 2.5 crore saved in the first year made the business case clear for expansion.

"We went from managing construction sites with phone calls and paper to having real-time visibility across everything. The AI predictions have changed how we plan projects."

Ram Prasad Shrestha
Managing Director, Khushbu Nirman Sewa

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