PAYD ELD 4+

Hutch Systems Inc

Designed for iPhone

    • Free

iPhone Screenshots

Description

Contract-Free PAYD ELD.

The PAYD ELD is the First and Only ELD based on PAYD (Pay-As-You-Drive) model. It meets all FMCSA ELD requirements and is listed on FMCSA registered ELD. The PAYD ELD is powered by Hutch Systems and is trusted by clients across USA and Canada. The PAYD ELD works in conjunction with PAYD ELD hardware and is not reliant on Bluetooth Connectivity to achieve ELD mandate compliance. PAYD ELD stores all ELD required elements in built-in internal storage and transmits to the PAYD ELD app when the user connects to ELD Hardware via Bluetooth Connection.

PAYD ELD can be hardwired to vehicle PAYD ELDand support all Heavy Duty, Medium Duty, Light Duty, and Passenger vehicles and support quick and easy self install option.

PAYD ELD supports Live Tracking and IFTA Fuel taxes with 99.999999 percent accuracy to keep you worry-free from audits.

Hours of Service violations and alerts are calculated as per selected USA or Canada HOS rules. The PAYD ELD keeps you worry-free and saves you and your company from fines and CSA scores.

PAYD ELD supports DVIR (Daily Vehicle Inspection Reports) and will assist you during the safety audit.

PAYD ELD’s friendly and intuitive user interface is loved by drivers and is one of the simplest ELD to use in the market.

PAYD ELD is designed to keep hard-working drivers in mind and is only for .99 cents per day.

PAYD ELD is backed by 24/7 support and can be subscribed to premium support for those less tech-savvy users.

PAYD ELD is compatible with all iPhones 6s and above

What’s New

Version 1.1.3.4

1. Added CVSE Service
2. Exit app option
3. few bug fixes
4. few enhancements

App Privacy

The developer, Hutch Systems Inc, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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