Fleet, Dispatch, & Order Management Automation

Written By Tyler Goodfleisch

I. Executive Summary

This engagement outlines the end-to-end digital transformation of a waste management and dumpster rental enterprise. Prior to our intervention, the client relied entirely on a shared Google Sheet accessed via mobile devices for day-to-day operations. This unmanaged flat-file approach resulted in severe data concurrency issues, accidental data overwrites, a lack of role-based security, and manual revenue leakage.

Arc Transformation designed and deployed a comprehensive, relational data architecture utilizing the Microsoft Power Platform. The solution decoupled front-end user interfaces from back-end data, automated critical financial calculations, and established strict governance protocols for field operations.

II. Functional Architecture & Solution Design

To eliminate flat-file data corruption, the legacy spreadsheet was replaced with a centralized Microsoft Dataverse backend, establishing a single source of truth and enforcing strict data typing.

To solve the security limitations of all employees accessing a single master spreadsheet, a multi-app strategy was deployed to enforce separation of duties:

  • Administrative Dispatch Hub: A pc-optimized application functioning as the control center for back-office operations, fleet oversight, and financial reconciliation.

  • Driver Navigation App: A tablet-optimized application designed strictly for field workers. Drivers are restricted to route-critical data and mobile timecards, preventing accidental modification of core financial records.

  • Order Management App: A mobile-optimized application, enabling rapid order adjustments and direct customer communication for dispatchers.

III. Process Re-engineering & Automation Logic

Legacy manual touchpoints and spreadsheet formulas were replaced with Power Automate cloud flows to ensure consistent execution and accounting readiness.

  • Revenue Capture & Financial Accuracy: Engineered dynamic, system-level calculations to automatically trigger exceptions for delayed pickups. This prevents field agents from manually overriding or miscalculating late fees.

  • Payroll Automation: Re-engineered the manual timesheet audit process by automating the consolidation of driver hours for direct payroll processing.

  • Operational Intake & Routing: Automated the intake pipeline and standardized route execution by auto-generating geolocation data for field agents.

IV. Governance, Risk & Internal Controls

In alignment with our core methodology, the system was designed with strict internal controls to ensure material accuracy and mitigate operational risks.

  • Auditability & Dispute Resolution: The architecture mandates image uploads (drop-off, pick-up, and dump receipts) directly to the order record. This provides indisputable visual proof of service and heavily mitigates risk during customer billing disputes.

  • Labor Security Guardrails: Deployed a dedicated security entity requiring PIN validation for driver clock-in/out events, ensuring the integrity of timecard data prior to payroll.

  • UAT & Operational Readiness: The segregation of distinct fee variables (Tires, Appliances, Fuel) within the order record allowed for precise User Acceptance Testing (UAT) to ensure accurate general ledger mapping during the billing cycle.

V. Business Impact & Tangible ROI

  • Elimination of Data Corruption: Migrating to a structured Dataverse environment eliminated concurrent editing conflicts and accidental data deletion by field staff.

  • Accelerated Quote-to-Cash: Centralizing dump fees, weight metrics, and automated late calculations drastically reduced billing delays, enabling immediate and accurate invoicing upon asset pickup.

  • Reduced Administrative Overhead: Automating order intake, timesheet consolidation, and manual route mapping reclaimed highly valuable back-office hours previously spent auditing the master spreadsheet.

Tyler Goodfleisch