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Use cases

PEER targets key industrial sectors such as manufacturing industry, warehouse management, smart & inclusive city and retail - each benefiting uniquely from its AI-driven solutions.

Use case

Optimisation of Quality Processes in Industry

Traditional inspection systems often rely on outdated image processing techniques, leading to inefficiencies. By integrating PEER's AI assistant, companies can achieve higher accuracy in detecting defects during production, ensuring that only high-quality, safe products reach consumers. This reduces the risk of recalls and enhances compliance with stringent regulatory standards.

Use case

Optimization of warehouse operations

By using collaborative AI for increased safety, efficiency, and regulatory compliance. This approach involves integrating AI with human expertise to adapt to changing conditions, thereby improving decision making and minimizing errors. The effectiveness of the AI system will be measured by key performance indicators such as regulatory compliance, operational efficiency, and human trust.

Use case

Inclusive City
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By helping people with disabilities find the easiest paths in the city. A proactive navigation assistant, alerting users to potential obstacles and suggesting alternative ways. Leveraging city-wide sensor data, this AI-driven assistant identifies infrastructure issues, and making cities like Amsterdam more accessible and user-friendly for all residents.

Use case

Retail
 

PEER's AI-driven personalized routing system plans to enhance the in-store picking efficiency. By optimizing the paths for staff during order fulfilment, the system reduces picking time and errors, leading to better inventory management and a smoother shopping experience for customers (e.g., personalized product recommendations based on user's preferences).

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