FM Logistic in Poland becomes the world’s first to power logistics with Google AlphaEvolve

FM Logistic in Poland has become the first logistics operator in the world to deploy Google AlphaEvolve—an advanced AI tool designed to create and optimise algorithms, including those for logistics. With no additional investment in infrastructure or fleet, the technology has improved picking route efficiency by over 10 per cent and reduced the annual distance covered by operators by more than 15,000 kilometres.

Driven by the growing complexity of logistics operations and pressure to boost efficiency, TSL companies are increasingly turning to AI solutions to support their operational processes. The ability to improve performance without having to expand infrastructure and resources is of key importance today. This is precisely the direction behind FM Logistic project developed in partnership with Google.

FM Logistic joined the very first companies in the world to test Google AlphaEvolve—a Google DeepMind solution using AI to autonomously develop algorithms. The operator has deployed the technology across its warehouse operations, becoming the first supply chain organisation to leverage this solution on such a scale. The project was showcased at Google Cloud Next in Las Vegas as a prime example of AI’s practical application in logistics.

Our partnership with FM Logistic proves that artificial intelligence can now support solving highly complex operational problems in a real-time environment. Logistics holds immense potential for practical AI applications, particularly where operational scale, speed, and continuous process optimisation are critical. The project driven by FM Logistic serves as a prime example of how AI solutions can be successfully used, including such advanced ones as Google AlphaEvolve, to build solutions with tangible business and operational benefits, says Anant Nawalgaria, Group AI Product Manager & Engineer in Google.

The project was deployed in one of FM Logistic’s 24/7 warehouses in Poland, where the operation spans over 17,700 picking locations.

The key challenge involved grouping orders and planning routes in such a way as to minimise the distance covered by operators and warehouse forklifts. Crucially, the goal was to further boost the efficiency of a process that was already highly optimised.

Nowadays, the ability to quickly test and implement new operational solutions plays an increasingly vital role in logistics. Thanks to our collaboration with Google, we were able to leverage AI to generate and evaluate thousands of order management algorithm variants. This drove measurable improvements in the efficiency of our complex e-commerce picking process, assures Mateusz Klimowicz, Robotic Process Automation Manager in FM Logistic.

Google AlphaEvolve generated and tested thousands of variants of logistics algorithms. The solution drew on live operational data along with business and operational criteria defined by FM Logistic. The system analysed key factors including route distance, picking productivity, and process requirement compliance.

As a result of the implementation, efficiency has improved by over 10 per cent compared to the previously highly optimised solution. The project also reduced the distance covered in the warehouse by over 15,000 kilometres annually—all achieved without additional investment in infrastructure or the forklift fleet.

The technology enabled us to create a better algorithm to support the picking route planning process. The ultimate output of the project is a fully auditable algorithm that we can continue to develop and scale. Artificial intelligence does not manage the warehouse or replace existing operational systems. It merely enables us to reach a higher level of efficiency, emphasises Mateusz Klimowicz.

The implementation project was showcased at Google Cloud Next in Las Vegas as a prime example of AI’s practical application in operational logistics. The solution is now being rolled out to additional FM Logistic facilities across Europe and South America. The operator continues to develop further AI applications for warehouse operations. They encompass solutions aimed at optimising product placement within the warehouse, alongside the ongoing optimisation of logistics processes.

This implementation ties in with FM Logistic’s broad strategy to improve supply chain efficiency by leveraging new technologies.