Construction Tech

Real-Time Material Ops

A Material Intelligence Platform connecting construction velocity to inventory demand. Acting as a live control tower for dynamic planning and early anomaly detection.

Thang Long Construction 5 Month Delivery

Waste Reduction

15%

Lowered material leakage and over-ordering costs.

The Challenge

Material planning for the Thang Long project was static and based on initial estimates, while the actual construction site was dynamic and fluid. There was a critical lack of real-time linkage between site progress (velocity) and inventory levels. This disconnection led to frequent material shortages causing delays, or excess inventory leading to waste and pilferage.

  • Static planning vs. dynamic site reality.
  • High material waste due to over-ordering.
  • Manual, delayed reconciliation of usage.

The AIQU Systems Solution

We developed a Material Intelligence Platform that integrates project schedule data with live inventory tracking. Using predictive AI, the system forecasts material demand based on actual site velocity. It also runs anomaly detection algorithms to identify discrepancies between planned usage and actual consumption in real-time.

  • Dynamic planning based on site velocity.
  • Early anomaly detection for leakage control.
  • Automated reconciliation of plan vs. actuals.

System Architecture

Inputs

Schedule / IoT / ERP

Intelligence Core

  • Velocity Forecasting
  • Anomaly Detection
  • Gap Analysis

Control Tower

Manager Dashboard

Procurement

Smart Ordering

Technology Stack

Data Ingestion IoT Sensors / ERP APIs
Forecasting Model LSTM / Prophet
Anomaly Detection Isolation Forest
Visualization React / D3.js

Business Impact

15% Less Material Waste
Auto Reconciliation
100% Inventory Visibility
Low Stock-out Risk

Delivery Roadmap

Phase 1
Process Mapping
4 Weeks
Phase 2
Data Integration
6-8 Weeks
Phase 3
Model Development
6 Weeks
Phase 4
Deployment
Rollout