Goal:
Eliminate manual progress tracking, inconsistent reporting, and delayed cost estimation by introducing a unified AI system that automates site monitoring, budget forecasting, and vendor spending analysis.
Impact Keywords:
- Progress Automation
- Predictive Analytics
- Cost Optimization
- Transparency & Accountability
Approach:
LunarTech Lab developed a real-time progress-tracking and forecasting platform that connects on-site data, camera feeds, and procurement systems into one intelligent dashboard.
- Computer Vision Progress Analysis:
- Using drone and fixed-camera footage, our computer-vision pipeline detects completed work vs. scheduled tasks, automatically updating project dashboards without human input.
- Example: concrete poured, wall completion, or machinery usage automatically recognized and logged.
- Predictive Cost Model:
- We built an AI model trained on historic procurement and project data to forecast material cost spikes and labor overruns. When anomalies appear, the system sends early warnings to the project manager.
- Procurement Automation:
- The platform integrates supplier invoices and purchase orders. When an item is purchased, the system matches it to the project stage and updates the budget forecast automatically.
- Smart Reporting:
- Executives receive daily and weekly summaries via email or WhatsApp — including project progress %, cost variance, and risk level.
Summary:
By unifying visual data, procurement information, and predictive analytics, LunarTech Lab’s AI system eliminates guesswork and delays in construction reporting — helping companies stay on time and on budget.
