The Client
UK’s leading provider of connected smart home automation and technology products serving ~1 million customers, developing smart boiler diagnostic devices with machine learning capabilities.
The Challenge
Prototype trial needed objective commercial validation
Following a year-long prototype trial of smart boiler diagnostics, senior executives needed objective commercial analysis to evaluate real-world performance.
A robust business case was required for full market deployment ahead of competitors.
What We Did
Cohort analysis with cost-to-serve modelling
- Consolidated data from multiple sources including product trial data, operational costs and KPIs
- Developed cohort analysis model comparing trial and control subsets with hypothesis testing
- Created cost-to-serve optimisation model measuring device effectiveness and service impact
- Benchmarked results across cohorts based on defined KPIs to quantify product value
- Established performance framework bridging product innovation with commercial strategy
The Impact
Evidence-backed investment decision with clear savings
£1M+
Annual savings identified
20%
More first-time fixes
44%
Fewer repeat visits
Revealed double-digit percentage cost reduction with £1M+ annual savings through enhanced remote diagnostics. Analysis demonstrated 20% more first-time fixes and 44% fewer repeat visits, providing evidence for senior stakeholder confidence and approved funding.
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