Advanced Field Workforce Planning at ČEZ Distribuce with Hexaly

ČEZ Distribuce, the largest electricity distributor in the Czech Republic, plays a crucial role in delivering reliable power to millions of customers. Managing such an extensive and complex infrastructure requires more than technical expertise. It calls for a scalable, adaptive, and intelligent Workforce Planning Solution to organize the work of thousands of field service technicians optimally.
To address this challenge, ČEZ Distribuce partnered with PosAm, a leading IT services provider in Slovakia and the Czech Republic. Recognized for its innovative digital solutions in the Utilities and Insurance sectors, PosAm selected Hexaly to deliver cutting-edge Workforce Planning and optimization solutions for ČEZ Distribuce.
Intelligent Workforce Planning Solution, Powered by Hexaly
At the core of this transformation lies Hexaly Optimizer, a global optimization solver that drives intelligent, real-time decision-making across ČEZ Distribuce’s field operations. The system continuously plans and adjusts daily schedules by accurately matching technician availability, qualifications, task priority, and geographic location, ensuring optimal resource use and responsiveness.
A Model for Operational Excellence
Through its collaboration with PosAm and ČEZ Distribuce, Hexaly has delivered tangible value in a mission-critical environment. The results are greater workforce efficiency, lower operational costs, and enhanced service quality.
ČEZ Distribuce’s success story illustrates how an advanced Workforce Planning solution, backed by Hexaly’s optimization solver, can revolutionize large-scale utility operations by enabling more innovative scheduling, faster response times, and more resilient field service performance.
Hexaly is at the heart of advanced field workforce planning and management for ČEZ Distribuce. The solution enables real-time dispatch operations, optimizing daily work schedules, capacity, and travel planning while meeting customer appointment requirements. Its robust models ensure that even the most complex planning and HR constraints are handled with precision.