Blog
Stylumia brings the latest blogs on Color AI, Retail AI, Fashion AI & Ecommerce AI with the help of data-driven insights
Hyper-Accurate Fashion Forecasting | Inspired By GPS
Perseverance Mars mission is a true inspiration for us to look into space for solving earth’s challenges. One of the top 10 breakthrough innovations as per MIT’s Technology Review for 2021 is Hyper-Accurate Positioning. GPS technological advancement sets the inspiration for this edit on Hyper-Accurate Fashion Forecasting. Global position system (GPS) when used properly helps […]
Fashion Innovation For The Consumer Via Technologies
Technology is playing a key role in Fashion Innovation for the consumer. In this global talk in the Fashinnovation New York Global talk series, leaders across the world came together to share their perspectives. Here is the full video recording of the fashion innovation for the consumer talk. Full transcript of the talk below. Jordana: […]
The Killer Algorithmic Bias In Fashion Demand Forecasting
What is a bias? and, how does an algorithmic bias in fashion occur? Inclination or prejudice for or against one person or group, especially in a way considered to be unfair. Recognizing your unconscious bias by David Marshal We earlier wrote an article on bias in trend forecast. This article addressed the inherent biases that […]
What is AI And What It Means For Your Business?
An expert panel from Formula 1, Academia and Stylumia discussed recently in a global webinar organised by PI Apparel. The topic was fundamental and profound “What is AI and what it means for your business?” We present the full recording of this webinar and transcript below. The full transcript of the video: Stefan Leijnen: Welcome, […]
Stylumia Is Ready For Australia and New Zealand Catwalk
We are excited to announce that Stylumia is ready for Australia and New Zealand markets starting January 2021, through a compelling partnership. Stylumia was founded by Ganesh Subramanian, Ex COO of Indian fashion e-commerce giant Myntra in December 2015, with a mission of reducing wastage in the fashion and lifestyle industry. Stylumia leverages machine learning […]
Proactive Fashion AI | Demise Of Traditional Fashion Business Model
Leaders from Stitch Fix, Farfetch, Crocs, Rolls Royce and Stylumia came together recently to share their views on Proactive Fashion AI for consumers. They also see demise of traditional fashion business model. The detailed recording of the panel discussion and the transcript below. Full Transcript below: Setting The Stage For Proactive Fashion AI David Wilcox: […]
Wasteful Deadly Bias In Fashion Trend Forecast
Fashion trend forecast of today has a deadly bias. The amount of fashion over-supply and billions of garments unsold reflects this. This edit makes an attempt to get to the root. What Are The Decision Biases? Humans are error-prone and biased. This is one kind of bias, which we normally talk about. We are witnessing […]
Lowe’s Innovation Labs Chooses Stylumia
We are pleased to inform Lowe’s Innovation Labs Chooses Stylumia as part of their CONSTRUCT program for startups. Here is a reproduction of an article as published in Businessinsider. Lowe’s Innovation Labs, the innovation hub of FORTUNE® 50 retailer Lowe’s Companies Inc., today launched the first Indian cohort of its signature, stage-agnostic startup accelerator program, […]
Stylumia, A Member Of Intel® AI Builders Program
We are excited to inform Intel® chooses Stylumia to be a member of Intel® AI Builders Program. This engagement enables Stylumia in many ways, enabling access to latest technology, co-marketing and match-making. Here is a video introduction to the program. The program helps Stylumia to get access to cutting edge technology from Intel® system. Apart […]
Building Great Fashion Business | 2021 And Beyond
Building a great fashion business takes a lot more than building a good one. In this edit, we look at what are the proven ways of building a great fashion business. We took our inspiration from the book “Great By Choice” by Jim Collins. Taking a long term view and deriving short term decisions out […]
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