SUCCESS STORY

Comprehensive Facility Monitoring & Optimisation System for a Retail Chain

25%
ENERGY SAVED
40%
DOWNTIME REDUCED
60% FASTER
RESPONSE TIME

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This case study outlines a successful implementation of an advanced facility monitoring and optimisation solution for a major retail chain, addressing critical operational challenges and paving the way for future AI-driven efficiencies.

PLATFORM DEMO

See our solutions in action with platform demonstrations showcasing real-world implementation and user experience.

Facility Monitoring Platform Demo

See our comprehensive facility monitoring system in action - real-time data visualization, automated alerts, and centralized control across multiple retail locations. Watch how IoT sensors, data processing, and intelligent dashboards work together to optimize facility operations.

Facility Monitoring Platform Demo

HIPTECH AI DEMO

PLATFORM DEMONSTRATION

INDUSTRY

Retail

DURATION

8 months

CLIENT

Retail Chain

TECHNOLOGIES USED
IoT SensorsMQTTModbusETL PipelinesTime-series DBCloud ArchitectureMachine LearningPython

Addressing Core Operational Challenges

The retail chain, operating over 200 shops, faced significant hurdles in managing diverse sensor data to maintain optimal conditions and prevent equipment failures across their extensive network.

Data Integration
Complexity Challenge

Struggling with integrating multitude of sensor data including temperature, pressure, vibration, energy consumption

Real-time Accuracy
Data Processing

Difficulty ensuring real-time data accuracy and transforming raw data into actionable insights

Predictive Capabilities
Reactive Approach

Absence of comprehensive analytics and predictive maintenance capabilities

200+ Stores
Scale Challenge

Managing HVAC, lighting, water, and ventilation systems across massive retail network

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Phase 1 Solution: Building the Foundation

An initial audit of HVAC, lighting, water, and ventilation systems across 20+ stores identified Modbus/MQTT-ready systems and hardware requirements, leading to comprehensive monitoring platform development.

Core Monitoring Components

Development of essential monitoring infrastructure with real-time capabilities and automated response systems.

  • Monitoring Engine for real-time alerts
  • Anomaly detection algorithms
  • Automation Interface with business rules
  • Reporting Engine with live KPIs
  • Control Centre for manual overrides

Data Platform Architecture

Robust data platform ensuring seamless data flow from IoT sensors to actionable insights through high-performance processing.

  • IoT Sensors capturing real-time data
  • ETL Pipelines for data processing
  • Time-series data warehouse
  • Advanced dashboards and visualizations
  • Instant anomaly detection and trend analysis

Scalable Cloud Infrastructure

Cloud-ready design supporting rapid deployment across all retail locations with future AI integration capabilities.

  • Centralized control across 200+ stores
  • Cloud-native architecture
  • Scalable deployment framework
  • Future AI/ML integration ready
  • Real-time monitoring and alerts

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Outcomes, Value, & Future Benefits

The implementation delivered significant operational improvements across the retail network, with Phase 1 establishing the foundation for future AI-driven optimizations and substantial cost savings.

25%
Energy Reduction

Energy consumption per store decreased

phase 1 results
40%
Downtime Reduced

Equipment downtime minimized

proactive maintenance
60%
Faster Response

Response time to critical issues

real-time alerts
40%
Manual Work Cut

Reduction in manual interventions

automated actions
200+
Stores Connected

Centralized control across all locations

single interface

KEY BENEFITS DELIVERED

Centralized Control

Single interface manages all engineering systems across 200+ stores, providing unprecedented visibility and control.

Proactive Maintenance

Visual correlations identify issues before failures occur, reducing downtime by 40% and preventing costly equipment breakdowns.

Operational Efficiency

Automated actions and real-time monitoring cut manual interventions by 40%, freeing staff for higher-value activities.

Future-Ready Architecture

Cloud-ready design supports rapid deployment and future AI integrations for predictive analytics and energy optimization.

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Average ROI: 3-5 months | 100+ projects delivered

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