AMR Credit Scoring
Autonomous Mobile Robots
Warehouse robots that navigate autonomously to pick, place, and transport goods. SKOOR scores AMRs by throughput, accuracy, uptime, and safety — a credit score for every robot in your fleet.
Scoring factors
How AMRs are scored
Picks per Hour
Throughput metric for goods-to-person fulfillment. Higher pick rates with consistent accuracy improve the score.
Error Rate
Mis-picks, dropped items, and navigation failures. Each error event reduces behavioral integrity.
Uptime
Percentage of scheduled shift hours the AMR is operational. Downtime from mechanical or software failures is penalized.
Charging Efficiency
Battery management and charging discipline. AMRs that maintain optimal charge levels without unnecessary downtime score higher.
Obstacle Avoidance
Safety incidents, near-misses with humans, and collision events. Heavily weighted in the safety factor.
Route Optimization
Path efficiency relative to optimal routing. AMRs that minimize travel time and congestion contribute to peer reputation.
Manufacturers
Leading AMR companies
Locus Robotics
500+ warehouse deployments. Goods-to-person fulfillment for e-commerce.
6 River Systems (Shopify)
Chuck mobile robot. Acquired by Shopify for warehouse fulfillment.
Geek+
30,000+ robots deployed globally. Sorting, picking, and moving systems.
MiR (Mobile Industrial Robots)
Autonomous internal logistics for factories and warehouses.
Use case
Warehouse fleet management
A 3PL operator runs 200 AMRs across 3 warehouses. Each robot has its own SKOOR score. Fleet managers identify underperforming units before they cause bottlenecks. High-scoring AMRs earn priority assignment to high-value pick zones. Insurance underwriters use aggregate fleet scores to price warehouse liability coverage.
Score your AMR fleet
Per-robot scoring. Fleet-level dashboards. Score-gated autonomy.
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