A leading UK-based coffee chain partnered with a major facilities management provider to conduct a full-scale Mechanical & Electrical Asset Collection across 1,545 locations. This survey aimed to capture essential asset details, ensuring streamlined maintenance and compliance. Given the scale of the project, our team played a pivotal role in executing a seamless nationwide survey within a strict deadline.

Challenges

• Managing asset collection across a vast number of retail locations while minimizing disruption to business operations.

• Ensuring precise data capture for all catering and M&E equipment, including coffee machines, grinders, hot water dispensers, and refrigeration units.

• Adhering to strict protocols, including barcode placement and recording key asset details like make, model, and serial number.

• Addressing accessibility challenges in busy retail environments, particularly behind counters and within confined spaces.

Our Approach

• Deployed an experienced survey team to efficiently gather asset data while maintaining operational flow.

• Implemented structured data collection methods to ensure uniformity across all locations.

• Collaborated closely with store teams to navigate site-specific challenges and gain access to restricted areas.

• Provided real-time updates on access issues and health & safety risks, ensuring immediate resolution.

Results

• Successfully completed surveys across 1,545 locations, meeting tight deadlines.

• Captured and validated comprehensive M&E asset data, improving maintenance efficiency.

• Delivered a structured database of catering assets, enabling tailored servicing and compliance tracking.

• Enhanced operational visibility for stakeholders, allowing for better long-term asset management.

Conclusion

By leveraging our expertise in asset data management, the project team achieved a streamlined nationwide survey that optimised asset tracking and maintenance scheduling. This successful project reinforced the importance of accurate asset data collection in driving operational efficiency across a large-scale retail network.