The results exceeded expectations: artificial intelligence has already saved almost one million euros for a company in Vilnius
A Vilnius-based company has reported significant savings of nearly one million euros thanks to the implementation of artificial intelligence to optimize its processes.
A company in Vilnius has experienced considerable financial savings through the optimization of its wastewater treatment processes via artificial intelligence. Reports indicate a reduction in electricity consumption by approximately 2 million kWh, which amounts to a 15% decrease compared to previous years, resulting in savings of around 250 thousand euros. Furthermore, costs associated with chemical reagents used in the biological wastewater treatment process have plummeted, achieving a reduction of about 70%, translating to additional savings of up to 700 thousand euros.
The project, which was initiated last spring to incorporate AI technologies at the wastewater treatment facility—responsible for treating one-third of the country's wastewater—has proven to render significant benefits. Viktor Matonis, head of the Production Department at Vilniaus Vandenys, emphasized that not only are the financial returns promising, as the investments in AI are expected to pay off within just over a year, but also that AI plays a crucial role in managing extreme situations such as heavy rainfalls where wastewater volume can surge rapidly. This advancement exemplifies how AI is transforming the management of critical infrastructure, making it more efficient and resilient.
The total value of the AI implementation project was nearly 1.3 million euros. As the company continues to reap the financial and operational benefits, the successful integration of AI into their processes may set a precedent for other businesses in Lithuania looking to enhance efficiency and cost-effectiveness in similar sectors. The implications of such technology adoption are broad, potentially influencing how public utilities manage resources and respond to environmental challenges in the future.