LCP

Real-Time Asset Tracking and Remote Asset Monitoring for Better Control

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Overview

Boost real-time location tracking with an equipment tracking system that strengthens remote asset monitoring through live data analysis and SaaS asset tracking.

At A Glance

industry
Industry
Logistic
region
Region
USA
duration
Duration
2 Years

Technical Stack

Node.js
Python
PostgreSQL
Elasticsearch
Java
Mapbox
Redis

Client Profile

The client is a USA-based SaaS company providing live tracking and historical data of any asset, along with custom asset tracking solutions and real-time asset tracking capabilities. They are into integrating cutting-edge technology to enhance functionality and performance.

Challenge

  • Manual Tracking in Remote Areas:
    The client relied on manual methods to track assets located in remote regions with limited communication channels, making remote asset monitoring difficult and leading to frequent human errors in recording accurate location and time data.
  • Requirement for Automation Alerts:
    The client wanted a simplified system that could develop alerts in real-time, like the emergency alerts and geofence alerts, for each activity being watched in a sequential way.
  • Database Management and Integration Issues:
    Infrastructure embedded into legacy systems and databases built upon, made data transfer and centralization slow and disruptive to overall efficiency and performance.
  • Complicated User Authentication:
    Users were required to juggle several logins and passwords across different platforms, taking away from productivity and increasing friction in the authentication process.
  • Absence of Visualizations in Real-Time:
    The absence of actionable visual dashboards prevented the client from visualizing and analyzing real-time location tracking data to illustrate actionable insights and support data-driven decision-making
Interface and dashboard of real-time data visualization and asset monitoring system, empowering proactive business insights

Solution

  • Geofencing and Location Tracking:
    Seaflux implemented geofencing for defined regions, enabling precise location tracking of assets within the client’s equipment tracking system. This significantly enhanced live asset tracking accuracy. Any deviation from the designated route triggered real-time alerts using radio frequency communication, helping users take immediate corrective actions.
  • Event Queue System with Redis:
    A custom logic utilizing Redis was built to handle active triggers and queue events in the order the event occurred. This allowed an overall event database to accumulate, which resulted in timely data analysis based on real-time data collected.
  • Third-Party Integration and Data Upload:
    The solution allowed the easy integration of third-party applications and accepted the uploading of Excel data using template fields for piece of equipment data, strengthening the overall equipment tracking system and enhancing the performance of the SaaS asset tracking platform.
  • Live Data Analysis Using Elasticsearch:
    Elasticsearch served as a key technology in analyzing and monitoring live data to ensure valid discoveries and better operational decision-making.
  • Transition to Microservices Architecture:
    Seaflux transitioned various monolithic applications into a custom microservices architecture that enhanced both scalability and maintainability, as well as interoperability.
  • Single Sign-On (SSO) Ability:
    Utilizing SSO based on Auth0, users were able to navigate across multiple areas of the app in a uniform and secure manner with a single authentication. This enhances the user experience overall while supplying a single point of identity management and improving security as well.
  • Predictive Analytics with Machine Learning (ML):
    Through leveraging historical data, Seaflux enabled an ML-based predictive analytics model that improved asset utilization and predictive maintenance, especially supporting remote asset monitoring in areas where Wi-Fi was unavailable and decreasing asset downtime.

Key Benefits

  • 37% Reduction in the Manual Workload
    Automated tracking and predictive analytics cut down the time and effort staff had to expend manually, enabling staff to apply their time to higher-value work and thus improving productivity.
  • 19% Gain in Operational Efficiency
    Real-time visualization and reporting enhanced planning, utilization, and efficiency of its asset base, allowing the client to be informed and data-driven.
  • Response Time Reduced from Hours to Minutes
    With centralized monitoring capabilities and instant access to real-time location tracking data, the client was able to identify issues and initiate corrective action in minutes instead of hours, further maximizing the value of the real-time asset tracking software.

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