This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Unified Data Aggregation Platform for Real-Time Construction Operations Management

wearenotch.com

Construction

Data Fragmentation and Operational Inefficiencies

Operating across multiple regions with over 500 building material production operations, the client faced significant challenges due to fragmented ERP systems, inconsistent data synchronization, and time-consuming manual processes that delayed decision-making and reduced operational efficiency.

About the Client

European-based construction services provider with global operations, specializing in complex infrastructure projects

Digital Transformation Goals

Consolidate multiple ERP systems into a single automated platform
Enable real-time data synchronization across 500+ production operations
Reduce processing time from days to minutes through digital automation

Core System Functionalities

Unified dashboard for real-time operational data visualization
Automated ERP data synchronization engine
Role-based access control for secure data management
Historical data analytics and reporting tools
Scalable API for integrating additional ERPs

Technology Stack Requirements

Java

Angular

Spring Boot

System Integration Needs

Legacy ERP systems (SAP, Oracle, etc.)
Production monitoring IoT devices
Third-party logistics management platforms

Performance and Security Standards

24/7 system availability with 99.9% uptime SLA
Real-time data processing latency <2 seconds
GDPR-compliant data privacy controls
Horizontal scalability for 10,000+ concurrent users

Operational Efficiency and Business Impact

Implementation of the unified platform is expected to reduce data processing time by 95%, enable instant access to critical operational metrics, and improve cross-functional coordination across global operations while creating a foundation for AI-driven predictive maintenance and resource optimization.