ViSenze Blog

Recommender Systems Can Make Or Break Your Business

Posted by ViSenze 17-November-2017

Twenty four varieties of jam on day one, versus just six the next day proved that confronted with too many choices customers would rather not buy at all. The famous jam survey was conducted by psychologists Sheena Iyengar and Mark Lepper in 2000. Everyone who sampled the jams was provided with a $1 coupon. While more people nibbled on day one, it was the ones with just six jams to choose from

The New Retail Experience: Merging Touchpoints For Success

Posted by Oliver Tan 19-October-2017

On a daily basis, readers are inundated with headlines about the impending “retail apocalypse” that brings with it dwindling foot traffic, store closures and the ultimate elimination of brick-and-mortar shopping. And though this might hold true for some legacy brands that have overextended their footprint throughout the years, it remains an unlikely scenario for the broader market. The rise of

Festival Fashion: Retail’s Greatest Opportunity and How to Tap Into It

Posted by Oliver Tan 31-August-2017

Throughout history, music festivals have driven social and cultural revolutions. Events like Woodstock promoted “peace and music” in a time of political unrest and others like Live Aid drew attention to humanitarian crises on a global scale. And though some of today’s festivals tout worthwhile causes to their lineups, something far different is drawing people into their venues today - fashion.

The Economics Of Fashion Retail: Improving The Bottom Line With Machine Learning

Posted by Oliver Tan 03-July-2017

This article was originally published in Forbes on 16th May 2017.

If you are a fashion retailer who is unfamiliar with machine learning, your education needs to start now.

How Does A Machine Learn?

Posted by Oliver Tan 07-June-2017

This article was originally published in Forbes on 2nd May 2017.

The idea of machine learning sounds like a science fiction thriller or action movie where a computer takes over the world. It rarely goes well for the humans (remember I, Robot?). Machine learning is a form of artificial intelligence, and if you ask a computer scientist, you will get a highly technical answer that involves

What will drive success for online publishers in 2017

Posted by Anmol Arora 18-May-2017

This year has been all about brand safety, transparency and finding the money in distributed publishing. Facebook and Google are now attracting almost 85% of the new digital ad spends with platforms like Snapchat becoming media outlets on their own. For publishers, the focus is to strike a balance between publishing on platforms in a sustainable, profitable way and to keep a direct

Focusing the Lens on Visual Search

Posted by Oliver Tan 25-April-2017

With the introduction of one new feature, Pinterest has become the world’s preeminent platform for visual search. But let’s start at the beginning. If you aren’t one of the 151 million people around the world using Pinterest, I will describe it: It is a social network for images. It is also arguably the world’s most popular destination for visual discovery. “Pinners,” as Pinterest users are

A Picture is Worth a Thousand Bucks!

Posted by ViSenze 05-January-2017

 This article is a guest post written by Samir Palnitkar, the President at ShopSocially.

The question remains, how can I use visual commerce to take my business to the next level? People are more than willing, even eager, to share photos online. After all, we're living in the age of selfie sticks, Instagram, Facebook, Snapchat, YouTube, Pinterest, and all things visual and viral. Just take two

Training machines to see and understand eyewear for the first time

Posted by ViSenze 26-September-2016

Product discovery using keyword search is less than efficient, to say the least. People are often unable to find what they like because they do not know the specific keywords to search for these products, or, at times, products are not tagged accurately enough to match keywords. Shoppers need a visual-driven search and discovery experience to find the items they’d like to buy with just images,

Ladies, break the gender stereotype in software engineering!

Posted by ViSenze 13-June-2016

This article written by the ViSenze team originally appeared on e27.

The figures are clear and disconcerting

A study was done in 2014 based on LinkedIn data to see what percentage of women work in software engineering across industries. Whatever industry you look at, the number of female engineers is bleak.

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