AI Optimization Archives

For BTS Group (UK), we developed a comprehensive information solution for managing vegetation around electricity transmission infrastructure, with an AI‑supported optimisation system for scheduling field teams at its core.

Start of use: 2025
Context: vegetation management around power grids, United Kingdom
Technology: AI optimisation, Other technologies

The AI model supports field task scheduling by taking into account geolocation, intervention urgency, team availability, and operational constraints. It enables consistent, repeatable, and data-driven work planning, which is essential for providing reliable support to electricity distribution companies.

The solution for BTS Group in the United Kingdom goes beyond scheduling optimisation. It provides comprehensive information support for vegetation management—MightyFields Vegetation Management—supporting fieldwork for inspections, interventions, and vegetation maintenance under power lines, and enabling efficient management of the entire process.

Impact:

AI‑supported, transparent, and data‑driven planning of field interventions.
Standardised work across all field teams at different locations (including external contractors).
Optimised field data capture and improved traceability of interventions.
Automated sending of consent requests to plot owners immediately upon identifying the need for an intervention.
Improved oversight of large‑scale vegetation management operations, which are critical to the safe operation of the grid.

For the company Dekor Senčila, we developed an optimisation module for cutting aluminium and plastic profiles that calculates the optimal cutting combinations from each bar with minimal wastage.

Year: 2025
Context: manufacturing, profile cutting optimisation
Technology: AI optimization

The system takes into account profile lengths, the number of orders, the machines’ technical constraints, and product batches.

Impact:

A significant reduction in waste material.
Lower material costs and improved sustainability performance.
Greater control over the manufacturing process.

Year: 2025
Client: EU project for electricity distribution companies in Slovenia

Project description

In the MF.MKN Scheduler project, we developed a module for intelligent scheduling of teams for fault resolution and routine interventions on the distribution network.
The AI module optimises team coordination based on proximity, intervention complexity, equipment availability, and incident urgency.

Impact:

Faster response to faults.
Fewer duplicate trips.
Optimised operations in real time.

In collaboration with the Jožef Stefan Institute on the MFScheduler project, we developed an optimisation module for the automatic scheduling of field work for MightyFields customers.

Year: 2022
Context: EU project, in collaboration with the Jožef Stefan Institute
Technology: AI optimization

MFScheduler assists administrators who manage field teams in assigning work tasks most optimally based on team location, task complexity, time constraints, and priorities.

The AI model calculates the optimal combination of tasks and teams, enabling faster task assignments and better distribution of work across teams.

Impact

Faster scheduling, fewer errors, and better team utilisation.
Shorter routes, resulting in lower travel costs and a smaller carbon footprint.

Book a Consultation

Notify me of new content.