Dolooma Opscenter - 2026 Pricing, Features, Reviews & Alternatives

Dolooma Opscenter is a cloud-based command center for towing and roadside assistance operations, consolidating dispatch, job management, fleet tracking, scheduling, payroll, inventory, expense management, and billing into a single unified platform. Accessible via web browser and mobile devices, it serves tow truck companies and roadside assistance providers of all sizes, from single-truck operators to multi-location, multi-state enterprises. All modules share a single verified identity and one source of truth, eliminating data silos across dispatch, yard, field, and back-office functions.

Core functionality spans the full operational lifecycle. Dispatch and job management supports real-time tracking from call intake through driver assignment, arrival, and job completion, with proximity-based and expertise-matched driver routing. Fleet management delivers live GPS tracking, interactive mapping, historical route playback, proactive maintenance alerts, fuel monitoring, and per-truck cost analytics. Payroll and scheduling handles shift building, integrated time tracking, and automated calculations across hourly, salary, commission, and hybrid pay structures, including PTO, overtime, and performance-based bonus automation. Inventory management provides real-time stock visibility with configurable auto-reorder thresholds tied to fleet maintenance schedules. Expense management delivers categorized tracking across fuel, labor, maintenance, and facilities, with revenue-versus-expense dashboards and profitability-by-job reporting. Job validation and compliance tools include checklist-based validation, artifact storage for photos, video, and documents, and audit-ready records with motor club and insurance evidence management.

Dolooma Opscenter connects with 20-plus third-party platforms including QuickBooks, Salesforce, Paychex, Stripe, and Samsara, and exposes an open REST API with webhooks for real-time event notifications. Data import is supported from Towbook, AAA, and Agero. Model Context Protocol (MCP) support enables connections to AI agents and intelligent workflows, and partnership integrations surface equipment recommendations based on fleet data. Operators can adopt individual modules and expand without re-platforming, making the system viable for businesses at any stage of operational complexity.