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      CASE STUDIES

      Smarter Cold Storage: Delivering 20.4% Energy Reduction with AI

      NewCold is a global company specialising in automated cold chain logistics. Their long-term mission is to develop world-class, energy-efficient warehouses.

      To help them achieve their goals, Qubiz worked on an innovative AI solution based on reinforcement learning.

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      IT Consulting

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      AI Development

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      Data Science

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      Collaboration Impact

      20,4% Energy Efficiency

      Decrease in average price consumed/kWh compared to baseline

      Scalability Across 15 Warehouses


      Scaling this solution for warehouses around the world

      Savings of EUR 47,000

      Estimated yearly savings for a single warehouse

      Our challenge

      Energy costs are rising all around the world. Monitoring energy and cost usage across an entire warehouse is time-consuming. NewCold wanted to explore AI solutions to do this more efficiently.

      Our approach

      As their long-term strategic partner, we developed an intelligent agent based on reinforcement learning.

      When released in a real environment, the system is ready to work with live data (such as temperature and humidity) to minimise energy costs and waste generated by refrigerator cooling systems, picking locations, and more.

      For this purpose, we used a deep learning model, LSTM, used for forecasting based on time series data. In this way, we simulated warehouse operations, which the agent uses as a training environment, learning optimal policies for energy cost reduction.


      AI Agent Development

      The Qubiz R&D team provided AI consultancy and implementation

      Exploration Phase

      Using energy data collected from the warehouse, the agent initially goes through a trial-and-error phase, learning based on feedback

      Exploitation Phase

      Once the agent has learned the optimal energy policies, it makes autonomous decisions regarding how energy is consumed, based on the current state of the cooling system

      Technologies

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      Business outcomes

      The agent makes autonomous decisions regarding energy consumption based on the current state of the cooling system, resulting in major cost savings.

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      The AI agent is able to solve similar problems for any particular warehouse, even if it’s located in a different area or is brand new

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      Going from a manual process to an agent capable of working independently to boost sustainability and save around EUR 47,000/year for a single location

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      The AI agent functions accurately and is trained to work well from day 1 in a new environment

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      As their strategic partner, we help NewCold fulfill its mission of being the most innovative and sustainable cold storage company in the world

      Niclas Freijd

      Niclas Freijd

      Implementation Manager @ NEWCOLD

      The team's adaptability, speed, and professionalism stood out. We’ve gained valuable insights into cost drivers, efficiency, and AI project execution. The team brought impressive skills in technical development, data analysis, and communication, leading to better quality, processes, and performance focus. The result: an AI agent that helps us manage energy consumption more cost-effectively. Thank you for the teamwork and support!

      WE HELP YOU INNOVATE WITH AI & DATA SCIENCE

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