LinkedIn Benchmark for Supply Chain / Logistics Professionals
EmergingSee how Supply Chain / Logistics professionals compare across LinkedIn visibility, career strength, and AI resilience.
Updated October 5, 2026
Free · Uses your LinkedIn export · No scraping
As of October 5, 2026, the median LinkedIn Score among 24 RankedIn users classified as Supply Chain / Logistics professionals is 63 (the middle half scored 52–73), and their median AI Resilience Score is 67 (middle half 55–72).
These figures describe RankedIn users who uploaded a LinkedIn data export, a self-selected group rather than a representative sample of the profession. AI Resilience Scores are AI-generated estimates, so small differences between professions should not be read as meaningful.
How RankedIn calculates benchmarks →What stands out
You've seen the Supply Chain / Logistics benchmark. Now see where you stand.
See where you fall within this benchmark — see your LinkedIn Score, AI Resilience, and individual signals next to Supply Chain / Logistics Professionals, including where you're strong, where you may be under-positioned, and what to improve next.
See Where I Stand →Built from your actual LinkedIn data — not a questionnaire. Processed privately and never shared.
How does the comparison work? →
- Request your LinkedIn data export (LinkedIn → Settings → Data Privacy → Get a copy of your data)
- Upload the relevant files to RankedIn
- RankedIn analyzes the data
- See your personalized comparison and recommendations
About this benchmark(sample size, methodology)
A growing benchmark with stronger depth behind the comparison. Benchmarks publish only after meeting minimum data-quality and privacy thresholds — small or unverified samples are never shown as if they were reliable.
- Based on 24 benchmark-eligible Supply Chain / Logistics professionals
- Benchmark values use the median score across eligible profiles
- Typical benchmark range: 52–73
- Population: Working professionals
- Maturity: Emerging
- Last updated October 5, 2026 · refreshed weekly
- Methodology version v2