ViSenze deep visual attribution improves product discovery

30 Apr '20

2 min read

Pic: ViSenze

Sixty five per cent of online shoppers who use text search, type in more than one attribution, according to artificial intelligence firm ViSenze that powers visual commerce. A survey by the company shows why having deep and wide product attribution helps shoppers find what they want quickly and easily, and also potentially leads to higher conversions.

According to the results from the ViSenze Annual Visual Shopping Survey 2019, one of the biggest obstacles to paths conversion is the difficulty in finding a product. Many potential sales do not have a fair chance to happen because consumers cannot find what they want.
However poor and inaccurate search experience remains one of the top frustrations that consumers have when shopping online.

“Shoppers have the luxury of options with new patterns, colours, and designs being churned out every season. Many of them know what they want and are able to describe products with greater detail because they know that optimizing their search results gets them closer to what they want. Without deep attribution, a product can easily fall through standard search filters and might never be found,” said ViSenze chief executive officer Oliver Tan in a press release.

Besides uplifting shopper search experience, a wider and deeper taxonomy attribution also helps improve personalisation for shoppers. “A deeper, wider and more comprehensive taxonomy delivers greater relevancy in offering more personalized choices for shoppers with enhanced attribute based recommendations like apparel necklines and occasion wear to help their desired shopping intents,” Tan added.

Fibre2Fashion News Desk (DS)

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