You’ve heard about the Loch Ness Monster, right? Or of any other cryptids or mythical creatures - say, the Big Foot, the Kraken, mermaids? Now, measuring the ROI (return on investment) for the implementation of a new technology for your company may seem like one of these creatures - stuff that everyone talks about but no one has ever captured successfully.
2014 was an exciting year in retail. Worldwide, sales hit a record high of $22 trillion. Omnichannel retailing became the norm, the mobile wallet was on the rise, retailers recognized the importance of and started leveraging on Big Data, and brands went after huge opportunities in emerging markets such as Brazil, China and India.
Welcome to the wonderful world of visual search technologyIf you think you’re in need of a crash course on what visual search technology is, its various capabilities and use cases, benefits and more, you’ll be in for a nice surprise. This introductory guide is exactly what you need to know about the software and how to implement it onto your e-commerce platform.
At ViSenze, we get this question a lot: “How is your visual search technology different from what Google is doing?”In fact, we were asked that so often that we have decided to respond with this article.
The highly-anticipated Black Friday is less than a month away. Halfway across the globe, India has already experienced its great Diwali 2015 holiday sale a few weeks ago. And since it is on par or even exceeding Black Friday sales in terms of scale and scope, there are quite a few things US retailers and e-commerce businesses can learn from it.
The future is already here, it is just not evenly distributed yet. In 2015, we witnessed the online fashion store, Myntra, turn app-only. We witnessed early adopters like the social commerce app, Polyvore, explore the rise of rise of deep linking and app indexing that allows app content to be surfaced in search results. And we witnessed the private online shopping club, Beyond The Rack, be
This article written by the ViSenze team originally appeared on Marketizator's blog.
Fashion has been the muse for many technological breakthroughs. It is the reason why Google Image Search was born in 2000, when the most popular search query was J.Lo’s slashed-to-the-navel green dress that she wore for the Grammy Awards. Fast forward to today, fashion is currently inspiring machine
E-commerce players are pumped to find the best personalisation solution and search bar experience.
Using machine learning algorithms to identify buying patterns and make recommendations, uploading images as search queries instead of keywords to make search more efficient - they are all the latest cravings in the e-commerce industry, with use cases pioneered by Amazon, Taobao, Flipkart and more.
According to a study made in the UK, 40% of people under 35s said they have used their mobile device to take a picture of a specific item on the street to buy once they get home.
Ever passed a well-dressed person on the street and wished you could buy a similar outfit? ViSenze can help you do just that.