CASE STUDY

How Minut helped Bob W reduce noise complaints across its expanding portfolio

83%

of loud noises solved after one message

Enhanced

operational efficiency

Streamlined

API integration with existing systems

Riepilogo esecutivo

European aparthotel brand Bob W was looking for a property monitoring solution to help minimize noise disturbances and maintain its reputation as a leading European aparthotel operator. The team needed an easy-to-set-up system that could integrate with their tech stack effortlessly to boost operational efficiencies and allow for seamless portfolio expansion.

About Bob W

Founded in 2018, Bob W is an aparthotel brand with properties in handpicked neighborhoods across prime European locations, including Copenhagen, Madrid, and London. The company’s designer units combine the reliability and services of a hotel with the practicality and flair of private rentals while keeping stays 100% carbon neutral. Bob W guests have access to a range of amenities, such as local gym passes, 24/7 customer support, and regular professional cleaning.

CASO D'USO

Reducing noise complaints and protecting Bob W’s reputation

La sfida

Bob W was looking for a solution to help reduce noise complaints across its growing portfolio of aparthotels. As it expanded into new locations, the team wanted to protect its reputation as a leading European aparthotel chain and ensure smooth operations.

“Minut has saved us hundreds of possible complaints from neighbors! The response from guests has been overwhelmingly positive, primarily because we have built gentle, friendly text message automations which are triggered when certain rules are met relating to decibel levels and duration of the noise.”

The Bob W Team

La soluzione

Bob W installed Minut across its apartments to monitor excessive noise and help detect unauthorized parties. The team customized decibel thresholds and messaging, so guests received a friendly automated message asking them to turn the volume down when the limits had been exceeded for a set period. 

Bob W estimated it received 100 noise event notifications within the first few months of using Minut, and now 83% of loud noise alerts are solved after just one friendly text message. Thanks to the device, the team was able to de-escalate each incident and prevent negative reviews, helping to preserve its reputation as a comfortable, peaceful place to stay.

I risultati

83%

of loud noises solved after one message

Reduced

noise complaints

Protected

its reputation

CASO D'USO

Leveraging API integrations and driving operational efficiencies

La sfida

One of Bob W’s priorities was to complement its hospitality technology with fuss-free property management solutions that could easily integrate with its existing tech stack. Its goal was to expand its integrations to help boost operational and cost efficiencies across its rapidly growing portfolio.

“We found that Minut is future-oriented, just like us. We install Minut devices in all our new locations, and it’s as easy as flipping a switch to get detailed insights on each new property, plus all the data is easy to access in our central system.”

The Bob W Team

La soluzione

Bob W leveraged Minut’s API to integrate its hospitality technology with the Minut platform for more streamlined and efficient property management. This allowed Bob W to keep operations centralized as it expanded to new locations. Minut’s wireless set-up and rechargeable battery were also vital in helping Bob W optimize resources and keep maintenance costs at bay, enabling them to quickly set up sensors when adding new properties to its portfolio.

I risultati

Enhanced

operational efficiency

Streamlined

API integration with existing systems

Optimized

maintenance costs

Bob W's future plans

Bob W plans to explore Minut’s temperature and humidity monitoring features to complement its carbon offsetting program. Minut enables management teams to control indoor climate more efficiently with real-time monitoring and alerts to the risk of mold when humidity reaches a certain threshold.