If consumers are to select a product and purchase it online, they need to feel confident they have the information to do it right. Sometimes that can be a barrier to completing the sale.
For example, automotive tires are a fast-growing product category in eCommerce because consumers are looking to save money on these products that are expensive and are purchased every few years — or more often, in the case of damage or when different tires are needed for different seasons.
At the same time, many consumers have been nervous about buying tires online because they’re not sure they’d be ordering the right size and specifications for their vehicle. The information is on the sidewall of the tire, but it’s in an alphanumeric code and it’s not something consumers look at every day. Even if they’re sure they’ve found it, they must then type it into the website.
“There are so many people who just don’t want to worry about that and want to be sure that they have the right number,” Lukas Kinigadner , CEO and co-founder of Anyline, told PYMNTS.
Uncertainty Turns Consumers Away from eCommerce
This uncertainty often leads consumers to instead go to a brick-and-mortar retailer to buy tires, because staffers there will determine the information and help select the tires.
Anyline aims to solve this challenge with a tire size scanning tool that can be integrated into the websites and apps of online retailers. Powered by machine learning and computer vision, this solution uses the consumer’s phone’s camera to scan the tire, determine the size and specs and share them with the retailer, which can then show the shopper the proper tires.
To the consumer, this solution appears as a button on the retailer’s website that they can tap to get the process started. Because this option appears […]
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