# Analytics and IoT for Retail Banking

> Our national retail client desired a low cost solution that captured energy and performance data across a portfolio of sites across the country. The overall aim...

Source: https://www.airgene.com.au/project/analytics-and-iot-for-retail-banking

Project Profile

# Analytics and IoT for retail portfolios

Project details

**Project:** Analytics and IOT for sites without BMS

**Location:** National

**Client:** Multi-site retail outlets

**Date:** 2025

**Services:** Eco efficient solutions, Client web portal reporting, Asset Management

![Analytics and IoT for retail portfolios](https://assets.precisecdn.com/cdn-cgi/image/width=700,height=520,fit=cover,quality=80,format=auto/2026_08_Precise_Managers_At_Desktop_001_LREZ.jpg)

Our national retail client desired a low cost solution that captured energy and performance data across a portfolio of sites across the country. The overall aim was to improve the immediate visibility of energy consumption and equipment performance so that they could:

1.  anticipate break downs, reduce trade call outs and maintenance spend
    
2.  manage temperature setpoints and time schedules to reduce energy consumption and energy spend.
    

### Problem

-   High costs for servicing a large portfolio across Australia
    
-   High percentage of redundant trade call outs
    
-   Poor remote visibility of branch environments
    
-   No control for HVAC and lighting
    

Precise Air proposed and implemented a cost effective IoT solution to control and monitor HVAC and lighting with Web-based dashboard providing access to the national property portfolio.

### Benefits:

-   Ability to remotely diagnose equipment faults and site issues, resulting in reduced trade service calls and lower facility operating costs
    
-   Time schedule control
    
-   Temperature control and monitoring
    
-   Improve human comfort and reduce energy consumption
    
-   One access point to monitor and control all building assets
    
-   Low cost solution to remotely understand what is happening at each outlet
    
-   No damage to building infrastructure
    

-   Predictive maintenance model
    

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