Project Overview

Managing fluctuating demand is a challenge for any business, especially when customer expectations remain high regardless of workload. For this project, I developed a subcontractor job management tool to help the client handle excess customer demand during peak periods. By outsourcing collections to trusted subcontractors, the tool enabled the client to maintain high levels of service without overburdening their internal team.

The system provided a seamless way to allocate jobs, track progress, and ensure quality control while maintaining operational efficiency.

The Challenge

The client faced a critical need to manage fluctuating demand during peak periods without compromising service quality. Their existing workflows were not designed to handle the additional volume, which led to inefficiencies and strained resources. To address this, they sought a subcontractor job management tool that could seamlessly integrate with their operations and provide the following solutions to key challenges:

  1. Efficient Job Allocation
    During busy periods, the manual process of assigning jobs to subcontractors was time-consuming and prone to errors. The client needed a solution to assist this process, ensuring that jobs were distributed quickly and fairly based on subcontractor availability, location, and capacity. 

  2. Real-Time Tracking
    Once jobs were outsourced, the client struggled to maintain visibility into their progress. Subcontractors operated independently, and updates were often delayed or incomplete, leading to uncertainty about job statuses. The client required a system that provided real-time tracking and updates, ensuring they could monitor progress at every stage and address potential issues before they escalated.

  3. Quality Assurance
    Outsourcing jobs introduced variability in service quality. The client had limited tools to measure subcontractor performance, making it difficult to ensure consistent standards. A robust quality assurance framework was needed to evaluate subcontractor effectiveness, track customer satisfaction, and provide insights for future decision-making.

  4. Scalability During Peak Demand
    The client needed a solution that could scale effortlessly during peak demand without requiring significant manual intervention or additional resources. The system had to handle increased workloads while maintaining high levels of performance and reliability.

  5. Seamless Integration
    The new tool had to integrate with the client’s existing internal systems to avoid disrupting current operations. It needed to synchronise with their customer database, existing job management tools, and reporting systems. This required an intuitive and non-intrusive solution that would be easy for the internal team and subcontractors to adopt.

  6. Communication with Subcontractors
    Ensuring smooth communication with subcontractors was another critical challenge. The client needed a centralised platform where job details, updates, and feedback could be shared in real time, reducing reliance on ad hoc communication channels such as emails or phone calls.

These challenges required a solution that combined automation, real-time insights, and a user-friendly interface. The tool needed to empower the client to manage their subcontractor network effectively while maintaining high standards of service delivery, even during their busiest periods.

The Approach

To tackle these challenges, I implemented a subcontractor management tool with the following key components:

  1. Discovery & Planning
    I worked closely with the client to understand their workflows, peak demand scenarios, and subcontractor relationships. This allowed me to define a clear set of requirements and map out a solution that aligned with their operational needs.

  2. Modular Design
    I created a modular system that could integrate easily with the client’s existing tools while remaining flexible enough to accommodate future growth or changes. Each module, job allocation, tracking, and reporting, was designed to operate independently while communicating seamlessly with the rest of the system.

  3. Real-Time Tracking and Updates
    I implemented real-time tracking features that allowed the client to monitor subcontractor activity and job progress. Updates were synced automatically with the central system, providing the client with full visibility at all times.

  4. Quality Control
    To ensure high standards, I built reporting features that allowed the client to assess subcontractor performance on metrics such as timeliness and job completion rates. These insights empowered the client to make data-driven decisions about subcontractor relationships.

Key Features

Job Allocation

The system’s automated job allocation feature ensured that subcontractors were assigned tasks quickly and efficiently, reducing the time and effort required for manual distribution. This was achieved by implementing a rules-based engine that factored in key parameters such as:

  • Subcontractor Availability: The system checked real-time availability data to assign jobs only to subcontractors who were ready to take on new tasks, ensuring no jobs were delayed due to unavailability.
  • Location Optimisation: Jobs were allocated based on proximity to subcontractors, reducing travel time and costs. This optimisation improved overall operational efficiency and ensured faster service delivery to customers.
  • Performance History: Subcontractors with proven reliability and a history of timely completions were prioritised, ensuring consistent service quality for the client’s customers.

Progress Tracking

Real-time progress tracking was a critical feature of the system, providing the client with complete visibility into job statuses at all times. Key functionalities included:

  • Live Updates: Subcontractors updated job statuses (e.g., “assigned,” “in progress,” “completed”) directly in the system, and these updates were immediately reflected in the central dashboard. This ensured all stakeholders were aligned and informed.
  • Notifications and Alerts: The system proactively flagged jobs that were delayed or at risk of non-completion. Alerts were sent to the client, enabling them to take corrective action, such as reallocating the job or contacting the subcontractor for clarification.
  • Centralised Dashboard: The dashboard provided an at-a-glance view of all active jobs, their statuses, and associated subcontractors, making it easy to monitor progress and identify potential issues quickly.

Integration with Internal Systems

Seamless integration with the client’s existing tools was essential to ensure continuity of operations and avoid disruptions. The system was designed to synchronise with the client’s current workflows while also preparing for future needs.

  • Existing Tools: Integration with the client’s customer database and job management systems ensured that subcontracted tasks were seamlessly added to their overall operational pipeline. This eliminated duplicate data entry and maintained a single source of truth.
  • APIs and Webhooks: I built RESTful APIs and webhooks to enable real-time data exchange with third-party systems. This capability ensured the system could be extended as the business evolved, allowing for integrations with new software or services without requiring significant rework.
  • Scalable Infrastructure: The integration framework was designed to handle increasing volumes of data as the client’s operations expanded, ensuring reliability even during peak demand periods.

These features worked together to create a powerful tool that streamlined subcontractor management, improved visibility, and ensured the client could maintain high standards of service delivery, even during their busiest periods

Technical Solutions

To deliver a robust and scalable tool, I employed the following technologies:

  • AWS Services:
    • Lambda for serverless processing, ensuring scalability during peak demand.
    • MySQL for storing real-time job data, offering low-latency performance.
    • SNS for sending notifications and alerts.
  • Node.js:
    • Used for the backend API, enabling high performance and scalability.
  • React:
    • A clean, user-friendly interface for managing subcontractors and monitoring jobs.
  • Integration Capabilities:
    • RESTful APIs to integrate with existing systems and enable future extensibility.

Lessons Learned

Building and implementing the subcontractor job management tool offered valuable insights into designing systems that are adaptable, efficient, and data-driven. Here are the key takeaways:

Flexibility is Essential

The importance of building a modular system cannot be overstated. By designing the tool with flexibility in mind, I enabled the client to adapt seamlessly to changes in demand and subcontractor availability.

  • Rapid Scaling: During peak periods, the system allowed the client to onboard additional subcontractors with minimal effort, ensuring there was no disruption to operations.
  • Evolving Requirements: The modular design also meant that the client could easily incorporate new features or adjust workflows without affecting the core functionality of the system. For example, integrating additional subcontractor performance metrics was as straightforward as adding a new module.
  • Long-Term Resilience: This flexibility ensured that the tool could grow alongside the client’s business, accommodating new challenges and opportunities without requiring extensive redevelopment.

Automation Reduces Errors

Automating key processes, such as job tracking and automations, proved to be a game-changer for the client.

  • Eliminating Manual Bottlenecks: By implementing a rules-based engine, the system assigned jobs quickly and accurately, freeing up internal resources for higher-value tasks.
  • Error Reduction: Automation significantly reduced the likelihood of human error, such as double-assigning jobs or mismanaging subcontractor workloads. This ensured a smoother experience for both the client and the subcontractors.
  • Consistency in Performance: Job allocation also brought a level of consistency to the process, ensuring that subcontractors were assigned tasks based on fair and transparent criteria, which improved trust and collaboration.

Take a look

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