Client Background

Client:  Leading technology driven modular housing manufacturing

Industry:  Real estate

Area of operations:  London

Employees:  501-1,000

Challenges

The client leverages an innovative technology-driven approach to enhancing speed, efficiency and quality in its modular housing development process.  Its residential landscape of smart homes was highly distributed comprising multiple assets, appliances and devices, with varying usage and consumption patterns. It was a challenge to collate the distributed data from various components of the smart home in order to proactively analyze and optimize usage and consumption patterns. The client wanted to develop monitoring models for various stake holders such as:

• Predictive maintenance to help maintenance staff proactively identify critical issues before they escalate and optimize the asset/device/appliance lifecycle
• Predictive design to provide a feedback loop to designers to improve the design of upcoming smart homes
• Model to help facility managers identify sources of energy wastage in order to deploy mitigation and optimization strategies

Solution

Wipro implemented a comprehensive IoT-based solution comprising:

• Smart sensors to acquire data from home appliances, home structure and environment
• Advanced analytical algorithms to predict usage patterns and failure incidents
• A mobile app for facility management and tracking incidents and service requests
• A mechanism to scale up the collected data in order to reflect the usage pattern of a community or city at large

Business Impact

The client realized several tangible benefits including:

• 6-8% reduction in equipment cost through proactive and predictive maintenance of household equipment. 
• 15-17% utilization of resources, resulting in improved lifespan of home appliances 
• Automatic alerts across service, safety and security incidents for facility management companies and housing councils, enabling them to deploy proactive measures