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Anyline Introduces Tyre Size Scanning for Websites to Simplify Online Tyre Sales

Anyline has introduced tyre size scanning to remove uncertainty when buying tyres online, allowing retailers to leverage the technology for ‘tyre hotel’ services.

Anyline Ready to Expand Mobile Data Capture Offer with New Technology

Anyline, based in Vienna, has launched a new capability to scan size and dimension information from the side of any vehicle tyre, with a scanner that can be integrated into the websites of tyre retailers to simplify the process of online tyre orders. Shoppers can now scan their tyres using their phone camera to find the right size and specifications for their vehicle.

Tyre e-commerce is a fast-growing revenue channels in the automotive industry, however, the difficulty of accurately recording and entering tyre data online means that many consumers abandon their purchases due to fear of buying the wrong tyres for their vehicle. The introduction of tyre size scanning on e-commerce websites will increase tyre sales and reduce abandoned orders.

“Buying tyres online is a challenge for most consumers. They have to know how to ‘read’ the data on the sidewall, including the width, profile, diameter and speed, and correctly enter this data to find the right tyres for them,” explained Frédéric Baroin, Global Head of Automotive Business, Anyline. “But with a tyre size scanner on the website, consumers can simply capture the data with their phone camera and auto-fill the information in under a second. This will help tyre retailers to improve the experience of existing customers, while also attracting new customers who have not previously bought tyres online.” 

Anyline’s tyre size scanning solution can also be used by tyre hotels to efficiently and accurately record the data required for tyre storage and identification. Tyre hotel operators can automate the collection of tyre size and dimension information by equipping their workforces with tyre scanning on their mobile devices, enabling them to work faster while removing human error.

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