Tire & Vehicle Analytics
Make smarter decisions with real-time tire and vehicle insights
Real-time insights from digitally captured data.
With Anyline Tire & Vehicle Analytics.
Automotive businesses often lack the insights needed to make data-driven decisions, which leads to an estimated $68.4 billion in potential revenue lost globally. To address this, Anyline created Tire & Vehicle Analytics, an AI-enabled data intelligence solution that delivers real-time, actionable insights from digitally captured tire and vehicle data. This empowers companies to know their customers better, reduce costs, stay compliant, and ensure the safety of drivers and passengers on the road.
AI-enabled data intelligence for the automotive industry.
How it works.
All tire and vehicle data gathered using Anyline’s data capture solutions is automatically organized into heatmaps, tables, graphs, bar charts, and pie charts, and displayed on a dashboard in real time. Scan data is enriched and correlated with data from external sources to detect patterns and validate compliance requirements. This allows users to easily track tires and vehicles and make decisions regarding maintenance, logistics, and warehousing. All data is stored securely in accordance with GDPR regulations and is accessible only by authorized users.
How can Tire & Vehicle Analytics help your business? With Anyline you can:
- Increase revenues by identifying worn or recalled tires and replacing them at the right time
- Reduce costs by optimizing which tires perform best depending on the vehicle or region
- Avoid legal issues by making sure that tires are always compliant with regulations
- Ensure driver and passenger safety by instantly identifying recalled or unsafe tires
Anyline Tire & Vehicle Analytics Features
Recall status display and daily reports
Commercial vehicle and tire scans tracking
Tire and vehicle specification comparison
Scan data filters
Scan data visualization
Authorized user access
Never doubt performance.
Always trusted results.
Tire Tread Scanning and Data Analytics Webinar
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