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Why Are E-Mopeds Easily Stolen After Being Rented Out?

OMNI IoT Original 2025-03-07 13:45:52

  The Root Cause:Weak Risk Control Before Rental,Leading to Frequent Bad Debt Issues

  The fundamental reason behind these issues lies in inadequate risk control before the rental process.Many businesses fail to rigorously assess users’creditworthiness or implement advanced management measures to track vehicles before renting them out.As a result,individuals with poor credit can easily rent a vehicle,only to default on payments,refuse to return the vehicle,or even sell it,leaving businesses to suffer financial losses.The key reasons for this problem include:

  01.Inadequate User Qualification Review

  Many businesses do not thoroughly check users'credit history and repayment ability before renting out vehicles,allowing high-risk individuals to slip through,which increases the likelihood of bad debts.

  02.Outdated Vehicle Management Methods

  Some rental shops still rely on manual management,making it difficult to track a vehicle’s location and status in real time once it is rented out.If a vehicle is stolen or resold,the chances of recovery are minimal.

  03.Insufficient Risk Identification Capabilities

  Traditional rental models lack a multi-dimensional risk assessment of users,making it difficult to accurately identify those likely to default on payments or steal the vehicle.

  To address these pain points,theOMNI IoT E-Moped Rental SaaS Management Platform has introduced an advanced pre-rental credit evaluation feature to help businesses better control rental risks and reduce asset losses.Please check more details with this article:How to Prevent E-moped Loss with IoT GPS Tracker and SAAS Platform? The company collaborates with leading fintech platforms specializing in big data risk modeling and credit assessment.By leveraging big data and intelligent risk control technologies,the system can analyze a user’s credit status within seconds and provide a risk rating,allowing businesses to preemptively filter out individuals likely to default on payments or fail to return vehicles.