Strandline Robotics
Industrial robotics integrator, 180 deployments
- Engagement
- 16 weeks
- Office
- Chicago
- Lead partner
- Marcus Feld
The challenge
Strandline sold robots but not the business around them: service revenue sat at 8 percent of sales while utilization data on deployed cells went uncollected, and every quarter's installs became next quarter's unpriced obligations.
What we did
Marcus Feld's team built the service economics first: what a response-time promise costs by region, what spare parts inventory it needs, and what customers would pay for uptime rather than visits.
A lightweight telemetry layer then gave the service team real utilization numbers, and contracts were rewritten to sell guaranteed availability on the forty cells with the best data history.
The outcome
Service revenue share rose from 8 to 17 percent in a year. Average robot utilization across the monitored vehicles rose from 54 to 71 percent, and the availability contracts now renew at a price premium the churn numbers support.
Service revenue share +9%
Robot utilization +17%
Mean time to restore −17 h
Bars are scaled per metric against its own maximum. Direction of improvement: Service revenue share, Robot utilization, Mean time to restore — see each metric.
| Metric | Before | After | Change | Improvement |
|---|---|---|---|---|
| Service revenue share | 8 % | 17 % | +9% | Higher is better |
| Robot utilization | 54 % | 71 % | +17% | Higher is better |
| Mean time to restore | 26 h | 9 h | −17 h | Lower is better |
Expertise behind this program
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