In the USA, the TREAD* Act of 2000 requires vehicle and equipment manufacturers to periodically report to NHTSA on information that could indicate the existence of a potential safety defect. They are required to advise NHTSA of foreign safety recalls and other safety campaigns.
Manufacturers who have violated this safety law, including Honda and Fiat Chrysler, have been fined $ millions.
The collation and completion of these reports is often a laborious and costly process. The complex requirements of NHTSA mean comments to be included in reports are subject to human interpretation. This leads to inconsistent coding and errors are easily made. In addition, ALL feedback channels must be included in the analysis to avoid under reporting.
But, what if ….
… you could eliminate manual reporting, reviewing and identification time requirements?
… you could significantly reduce the risks of missed or misinterpreted information?
… you could manage Human Judgement at Scale?
Using Text Analytics, Feedback Ferret can help mitigate fines and improve the process by reducing manual intervention, reducing time to produce reports and improving accuracy of those reports.
Text Analytics will deliver:
How it works
Feedback Ferret collects your customer feedback from any of these sources:
Using sophisticated, automated Text Analytics, we analyze all your feedback and code it for ALL of the NHTSA TREAD topics listed here:
03 Foundation Brake
04 Automatic Brake Controls
05 Parking Brake
06 Engine and Engine Cooling
07 Fuel System
12 Exterior Lighting
18 Speed Control
23 Possible Fire
24 Possible Rollover
25 Electronic Stability Control (ESC)
26 Forward Collision
27 Lane Departure Prevention System
28 Backover Prevention
Clients will receive as standard:
*Transportation Recall Enhancement, Accountability and Documentation