Intelligent FMS

We don't just monitor — we predict.

BCM's Intelligent FMS is an AI-based operating system that goes beyond location monitoring to predict riders' credit and accident risk in advance. It is the first solution to port the automotive car-sharing standard to motorcycles.

H/W
IP65+ rugged device
Targeting PASS on automotive vibration & transient-voltage standards
S/W
Monitoring · remote control · key-sharing
A vehicle-sharing standard tuned for two-wheel operations
AI
Risk Scoring + e-Call
Multimodal data · AUC 0.65+ · automatic accident reporting
FMS telemetry network over delivery motorcycles with fleet, risk, and e-Call dashboards
INTELLIGENT FMS
Vehicle data, risk model, control layer

The core solution that turns motorcycle driving data into enterprise operating decisions.

Five solution components

H/W (device) + S/W (monitoring, remote control, key-sharing) + AI (risk scoring) — the first integrated solution to port the automotive FMS standard to two wheels.

  1. 01 Core / Improved

    FMS Device (H/W)

    A rugged device that runs reliably in harsh two-wheeler environments (rain, vibration, heat). IP65+ dust/water resistance, targeting PASS on automotive standards 4.2.3 (vibration) and 4.2.6 (transient voltage), with ultra-low-power circuitry.

  2. 02 Core

    Monitoring (S/W)

    Per-second GPS tracking, ignition on/off status, and real-time battery monitoring.

  3. 03 Add-on

    Remote control — restart prevention (S/W)

    A safety design that keeps the current ignition on but blocks only the next start. Addresses non-payment/runaway scenarios while protecting rider safety — porting the automotive car-sharing standard to two wheels.

  4. 04 Add-on

    Key-sharing (S/W)

    Smartphone-based access control and usage authentication without a physical key. Optimized for multiple riders sharing one motorcycle.

  5. 05 ★ Core tech

    Risk Management Engine & Scoring (AI)

    Quantifies credit (non-payment) and accident (insurance) risk from multimodal data (driving, activity, contract, biometric). A hybrid of rule-based (regression) and learning-based (Autoencoder, Isolation Forest, XGBoost). TIPS target AUC 0.65+.

How it differs from automotive FMS

Dimension Automotive FMS (SOCAR, Lotte Rental, etc.) BCM two-wheel FMS
DataMostly single driving streamDriving + activity + contract + biometric (multimodal)
UserTransient users (hard to score)Same user, high-frequency repeat (highly scorable)
Usage frequencyOccasional (a few times/month)Constant (30,000+ km/year)
User identificationWeakStrong — 1:1 rider matching
Scoring usefulnessDifficult (SOCAR's driver-score model failed)Industrially meaningful
Risk-scoring evidence

A model validated on real data

AI risk scoring dashboard combining bond risk, accident risk, and multimodal rider data
AI RISK SCORE
Credit and accident risk in one model flow

Contract, activity, driving and accident-candidate data fused for B2B decisions.

Credit risk — 85-rider analysis

GroupCountDelinquency
Low (low risk)130.0%
Mid414.9%
High (high risk)3116.1%

In the High group, 4 of 5 showed concentrated, repeated delinquency compared with the Low group's cases (38.5%).

Accident risk — analysis of 151 real accidents

74%

Candidates detectable in advance from data

Precursor patterns derived from 31 intersection/turn/U-turn cases, 45 rear-end cases and 17 pedestrian/bicycle cases, among others.

Learn more

  • FMS Device (H/W)

    IP65+ dust/water resistance, targeting PASS on automotive vibration & transient-voltage standards.

    Details →
  • AI Risk Scoring

    Rule + Learning hybrid. Target AUC 0.65+ for credit/accident risk.

    Details →
  • Autonomous · e-Call

    A 5-stage L1–L5 track. Automatic accident reporting and 119 integration.

    Details →
  • Enterprise SaaS

    A B2B subscription for lease/rental firms, delivery agencies and insurers.

    Details →