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Sustainable AI-Driven Solutions  For Cold Storage Efficiency

Case study

Sustainable AI-Driven Solutions For Cold Storage Efficiency

Freight Transport & LogisticsNetherlands

Case study summary

Facing rising energy costs, NewCold wanted lower consumption without compromising temperature compliance. Qubiz built a reinforcement-learning intelligent agent that uses live temperature/humidity data to autonomously optimise cooling across warehouse zones, reducing energy spend while maintaining strict control, and scaling across NewCold’s global network.
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TransparencyWins ecosystem context

This case study was contributed by Qubiz, a software engineering partner represented in the TransparencyWins ecosystem. Case studies make delivered project experience, project context and reported outcomes visible to tech buyers. Review this contribution together with available client testimonials, partner insights, certifications and other company signals when evaluating relevance for a sourcing need.