Data Aggregation for large portfolio of small buildings
Case Study
IoT Data Aggregation Solution for a Retail Application

This retail client required a low-cost, IoT solution to capture data from their large portfolio of distributed buildings and assets. Data obtained would help to improve remote visibility of sites, consequently reducing trade call-outs and maintenance costs. 

  • Thousands of store outlets spread across Australia 
  • No existing solution optimised for large portfolio of small buildings
  • Thousands of trade servicing calls annually
  • Minimum remote visibility and control of each facility
  • Multiple sub-systems including HVAC, lighting, security and utilities with no single management interface
  • Nube iO provided a hardware and data-aggregation solution to enable monitoring & control of lighting interface, HVAC, occupancy, zip hot water, electricity meters, automatic doors, waste services and environmental conditions
  • Web-based dashboard providing access to the national property portfolio
  • Ability to remotely diagnose equipment faults and site issues, resulting in reduced trade service calls and lower facility operating costs
  • One access point to monitor and control all building assets
  • Low cost solution to remotely understand what is happening at each outlet
  • Average of 61.2% price reduction for installation
  • No damage to building infrastructure
  • Predictive maintenance model
Deployment Overview
  • Two-way communication to generate results in buildings
  • Control all sites and assets remotely
  • Currently, 300 sites have been deployed with 1000 more sites in progress
Commbank diagram
Monitoring & Control

This client previously had minimal visibility and control of their sites, with thousands of sites to manage. Digitising assets allows each asset to be viewed and controlled through the dashboard via any web-browser, from anywhere in the world.

Remotely monitoring asset data also helps facilitate predictive maintenance, compared to proactive and reactive maintenance where assets are manually checked.

Monitoring and controlling building assets helps to understand:

  • Room utilisation: understanding which rooms and facilities were being used most
  • Faults that occur in buildings without requiring a technician to physically visit the site
  • Energy consumption patterns 
  • Occupancy and after hrs entry
  • HVAC/lighting usage
  • Utility usage
  • Automatic door usage
  • Waste services
  • Environmental Conditions