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Hallward

Transform Primavera schedules into actionable insights.

A modern SaaS platform that transforms raw Primavera (XER) files into meaningful insights using advanced analytics, automated breakdowns, and AI-powered critical activity identification.

AI Activity Analysis
Earned Value Analysis
Milestone Tracking
React.js Django REST PostgreSQL Redis Celery Tailwind CSS
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hallward.co.es
Hallward Dashboard

Project Overview

Hallward is a modern SaaS platform designed to revolutionize construction project management by transforming complex Primavera P6 schedule files (XER format) into actionable insights. The platform automates tedious manual analysis, enabling project managers and construction professionals to make data-driven decisions faster.

The Challenge

Construction project managers traditionally spend hours manually analyzing Primavera P6 schedule files, extracting data into spreadsheets, and creating custom reports. This manual process is:

The client needed a scalable solution that could automate XER file processing, provide real-time analytics, and deliver AI-powered insights without requiring technical expertise from end users.

The Solution

We developed a comprehensive web-based platform with the following key capabilities:

XER File Processing

Automated parsing and analysis of Primavera P6 XER files using Django REST backend with Celery task queues for asynchronous processing of large schedule files.

Earned Value Analysis

Real-time calculation of SPI, CPI, EV, PV, AC metrics with interactive visualizations that help project managers track performance against baselines.

AI-Powered Critical Path Analysis

Machine learning algorithms identify critical activities and potential bottlenecks, providing predictive insights on schedule risks.

Interactive Dashboards

Dynamic React-based dashboards with real-time filtering, sorting, and drill-down capabilities for detailed activity and milestone tracking.

Technical Implementation

Architecture

Built with a modern, scalable architecture designed to handle large enterprise construction projects:

  • Frontend: React.js with TypeScript for type-safe component development
  • Backend: Django REST Framework providing robust API endpoints
  • Database: PostgreSQL for reliable data persistence and complex queries
  • Caching: Redis for session management and API response caching
  • Task Queue: Celery for asynchronous XER file processing and report generation
  • UI Framework: Tailwind CSS for responsive, professional design

Key Technical Challenges

Large File Processing

XER files can contain thousands of activities and relationships. We implemented chunked processing with Celery workers and progress tracking to handle files exceeding 100MB without blocking the UI.

Complex Data Relationships

Primavera schedules contain intricate predecessor/successor relationships and resource allocations. We designed optimized PostgreSQL schemas with proper indexing to enable fast querying and relationship traversal.

Real-time Analytics

Calculating earned value metrics across multiple projects required efficient database queries and Redis caching strategies to deliver sub-second response times for dashboard loading.

Results & Impact

85%
Reduction in manual analysis time
100+
Projects analyzed monthly
24/7
Automated processing availability

Hallward has transformed how construction teams analyze project schedules, enabling faster decision-making and more accurate performance tracking. The platform's automated insights help project managers identify risks earlier and allocate resources more effectively.

Technologies Used

React.js TypeScript Django REST Framework PostgreSQL Redis Celery Tailwind CSS Docker AWS Nginx Python

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