Urban mass transit operator deploying BI and automation across fleet operations
Transvial Lima operates a mass-transit system in Lima with 501–1,000 employees, currently building internal analytics and automation capabilities across finance, operations, and logistics. The hiring mix (5 ops, 3 finance, 2 data roles) and active project list—predictive revenue models, AI occupancy analysis, automated reporting—reveal a company shifting from manual spreadsheet workflows (Excel, Word, PowerPoint) toward BI-driven operations. Early adoption of n8n and Make for workflow automation suggests pain around cost control and KPI governance is driving investment in real-time dashboards and revenue-decision support.
Transvial Lima is a mass-transit operator in Peru providing urban transportation across Lima. The company describes itself as focused on delivering comfortable, accessible, low-emission service with frequent schedules supported by advanced fleet-management technology. Operationally, the business spans fleet logistics, driver training, revenue optimization, and internal operations—functions reflected in their hiring across operations, finance, data, and engineering. Current tech is transitioning from traditional office productivity (Office suite, Odoo ERP) to a modern BI stack (Power BI, Tableau, PostgreSQL, Supabase) while adding workflow-automation tools.
Core tools include Odoo (ERP), PostgreSQL and Supabase (databases), Power BI and Tableau (analytics), and Python/JavaScript for development. Recently adopted n8n and Make for workflow automation to reduce manual reporting.
Priority projects include predictive revenue management, AI occupancy analysis, automated dashboards, and implementing business intelligence solutions. Also addressing cost efficiency, KPI governance, and driver training programs.
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