Rollins
Machine-learning routing and scheduling
Rollins expanded machine-learning routing
Problem
Field-service routes affected operating costs.
Approach
Rollins used machine learning for scheduling. It expanded adoption across brands as models improved.
Results
No published figures
Takeaway
Management described incremental efficiency gains.
Categories
- Size
- Large enterprise
- Industry
- Professional services
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
[1]Rollins14 May 2026
Management described existing routing capabilities. It disclosed no quantified savings.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026