From Fragmented Operations to Real-Time Excellence
A dominant force in India's cable manufacturing industry faced critical operational challenges across 100+ concurrent EPC projects, threatening growth and profitability.
No standardized practice for monitoring project progress, receivables, or supply activities. Updates delayed by months with frequent data discrepancies between teams.
Outstanding payments aging over 3 years with poor closure visibility. Small uncollected amounts across projects aggregated into substantial financial exposure.
Contractors abandoning projects, misreporting progress, and material theft incidents. Limited visibility into actual ground-level execution.
Frequent RoW issues causing project delays, penalties, and eroded profitability. No proactive tracking system for bottlenecks.
Custom-built Project Monitoring Software designed around four foundational pillars: Location Intelligence, BoQ Management, Timeline Control, and Workflow Automation.
Role-based access with location binding ensuring accountability and streamlined operations across all project stakeholders.
Live updates on supply and erection activities, grouped by feeder lines and network segments for granular oversight.
Business logic-driven triggers linking task completion to invoice generation with seamless ERP integration.
On-site teams update progress instantly with geo-tagged photos and digital checklists for real-time visibility.
Automated real-time dashboards eliminating manual report preparation and providing actionable insights.
Proactive bottleneck identification and delay flagging system supporting immediate intervention capabilities.
I don't have to visit every site every day; instead, I get the progress on the application in real-time.
The transformation established a unified data ecosystem where stakeholders from CEO to field staff operate from a single source of truth. Real-time insights enable proactive decision-making, while automated reporting enhances client relationships and trust.
The company is now developing machine learning models for enhanced project progress prediction and expanding the solution across additional departments, embedding digital excellence throughout the organization.