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Development of a Real-Time Activity Tracking and Management App for Commercial Snow Removal Services
  1. case
  2. Development of a Real-Time Activity Tracking and Management App for Commercial Snow Removal Services

Development of a Real-Time Activity Tracking and Management App for Commercial Snow Removal Services

launchpadlab.com
Logistics
Supply Chain
Transportation

Challenges in Managing and Monitoring Commercial Snow Removal Operations

The client faces difficulties in coordinating snow plowing activities during unpredictable weather conditions. Ensuring timely response, tracking fleet activities, and maintaining visibility over operations are critical for operational efficiency and client assurance. Manual processes lead to inefficiencies and lack of real-time oversight, risking delays and uncleaned sites after snow storms.

About the Client

A commercial snow removal company specializing in rapid response services and fleet management to ensure operational continuity during winter weather events.

Goals for Enhancing Snow Removal Operations Through Technology

  • Implement a mobile application enabling operators to easily log activity with minimal interaction, suitable for cold and wet conditions.
  • Achieve real-time visibility of fleet deployment and snow removal activities for office personnel and management.
  • Integrate GPS and geofencing technology to automate activity logging and spatial monitoring.
  • Develop a backend API to securely store, process, and transmit operational data in real time.
  • Reduce development costs by utilizing cross-platform technology for mobile app deployment on multiple devices.
  • Enable integration with existing CRM or enterprise management systems for comprehensive operational management.

Core Functional System Requirements for Snow Removal Activity Management

  • Single large button interface for easy activity initiation under adverse weather conditions.
  • GPS and geofencing integration to automatically capture location data when plowing activity begins and ends.
  • Background data collection to minimize operator interactions and optimize usability in cold/wet environments.
  • Real-time data transmission to a cloud backend API for immediate operational oversight.
  • Secure data storage and synchronization with enterprise CRM systems like Salesforce.
  • Cross-platform support (iOS and Android) utilizing native frameworks for cost efficiency.

Preferred Technologies and Architectural Approaches

Cross-platform native framework for mobile app development (e.g., React Native, Flutter)
Cloud hosting services for backend API (e.g., Heroku, AWS, Azure)
GPS and geofencing technology for location tracking
API development for data exchange and CRM integration

External System Integrations for Seamless Operations

  • CRM system (e.g., Salesforce) for operational data synchronization
  • GPS and geofence services for automated location tracking
  • Push notification services for operational alerts and updates

Non-Functional Requirements for Reliable Snow Removal Management

  • Scalable architecture supporting increasing fleet size and data volume
  • Low latency data transmission to ensure real-time visibility
  • High security standards to protect operational data and personal device security
  • Offline support with data synchronization when connectivity is restored
  • User-friendly, minimal interaction interface designed for cold, wet conditions

Expected Business Benefits from Implementing the Snow Removal Tracking System

The project aims to provide enhanced operational visibility and efficiency, reducing response times and increasing reliability of snow removal services. It is expected to improve real-time tracking accuracy, enable faster decision-making, and enhance client trust. Implementing this system could lead to better resource allocation and potentially increase operational capacity, ensuring lots are cleared promptly during snow storms.

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