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Optimize assignments, routes, and resources with real-time intelligent planning.

Vektora streamlines crew and work-order management through smart planning, automated assignment, optimized routing, and real-time monitoring.
It centralizes data, boosts productivity, reduces operational costs, and improves service quality with a unified ecosystem covering scheduling, dispatch, field execution, and results analysis.

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Reduction in travel time through optimized routing

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More work orders completed with the same workforce

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Fewer failed visits thanks to accurate scheduling

Benefits

Tangible results for safer, more efficient operations.

Lower operating costs

Reduce travel time, optimizes resource usage, and centralizes all work orders in one efficient solution.

Increased field productivity

Complete more work orders with the same workforce through automated assignments and rule-based planning.

Enhanced customer experience

Enables appointment scheduling, real-time updates, and improved adherence to promised time windows.

Real-time safety and control

Monitors vehicles, crews, and alerts in real time to ensure compliance and safety.

Full work-order lifecycle management

Covers the full lifecycle: creation, scheduling, assignment, dispatch, execution, and results analytics.

Advanced results analytics

Measures productivity, actual vs estimated times, appointment compliance, and operational efficiency.

Success stories

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Insights

News, trends and perspectives about Vektora.

My journey into AI Governance began at the 2023 Second World Summit of Future Commissions held in Montevideo, Uruguay. This event, hosted by the Parliament of Uruguay and the Inter-Parliamentary Union, was a significant starting point. We discussed the need for anticipatory governance in AI, focusing on how this technology intersects with democracy, human rights, and societal structures. These discussions set the stage for a deeper exploration of AI’s transformative potential.

In the world of data applied to public utilities, striking the right balance between a centralized Business Intelligence (BI) strategy and a self-service approach is key to maintaining agility without sacrificing control.

In recent years, utilities have invested heavily in data analytics as a driver of efficiency and decision-making. However, this evolution has not always been supported by a unified strategy around Business Intelligence (BI) platforms.

In the energy business, the time factor is crucial. Decisions about which plants to start up, when to do it, and at what capacity require careful planning. It is not enough to simply react to real-time consumption: every mistake impacts efficiency and can put the stability of the system at risk.