Blog
Stylumia brings the latest blogs on Color AI, Retail AI, Fashion AI & Ecommerce AI with the help of data-driven insights
The Tyranny Of Convenience | A Blinder To True Demand Forecasting
| 6 min readDemand forecasting and its accuracy is more relevant in the post covid era than ever before. It is a danger and a blinder if we do not get the depth of what demand is. It is not a surprise that the fashion industry produces a huge amount of goods unwanted by consumers. The causation lies […]
Two Way Conversation With Consumers Through Predictive Analytics
| 5 min readSense and Respond is the new way to win consumers in the era of digital technology. A two-way conversation with the market requires a thinking shift in organizations. There is a need to move from the engineering model (the industrial organization) to this new model. Predictive analytics and advanced analytics come in handy in transforming […]
Are You Guided By Fashion Intelligence Noise (Or) Signal?
| 3 min readTwo-thirds of fashion made in the world do not meet demand as per forecast. This is too significant a gap to ignore. This is happening year after year. The impact is serious economic and environmental wastage. This is not a black swan event, but an elephant in the room. This edit is an attempt to […]
How Cognitive Biases Impact Fashion Inventory Optimization
| 7 min readFashion inventory optimization is critical to whether a brand or retailer perishes or thrives. Fashion business needs a good amount of judgment. With aesthetic play and constant change, the intensity of judgements is higher than relatively stable product groups. Over 50% of products made globally are rejected by consumers. This is creating a huge economic […]
New Balance Partners With Stylumia For Intelligent Assortment Planning
| 2 min readProduct is the most important investment for any fashion, lifestyle, and sports brand. It is important to make the right bets by looking at consumer trends. Here is how New Balance, a leading global athletic brand from Boston is bringing intelligent assortment planning using Stylumia. (This article is reproduced from sourcing journal) Inventory planning, particularly […]
Reinvent Fashion Business With The Superpower Of Doubt
| 5 min readAll transformations and progress in human life have happened always with doubt, not with certainty. Doubts lead to questions and we live in a world our questions create. The same is true for any business and you can reinvent fashion business through the same principle. Doubt is an uncomfortable condition, but certainty is a ridiculous […]
Fashion Retail Intelligence | Learning From Human Brain
| 4 min readThe human brain continues to be the inspiration for many advances in technology and building intelligent machines. In this edit, we look at what intelligence is and how that can show us a path to Fashion Retail Intelligence. Jeff Hawkins, a computing professional turned into a neuroscientist has contributed a lot to this discovery. With […]
Kill Your Company Today To Fly Into The Future
| 3 min readYou need to kill your company that exists today if you want to innovate and transform. This is a concept and an approach for innovators. In humans, as many as 1011 cells die in each adult each day and are replaced by other cells (reference Developmental Biology). Cells die each day to keep the body alive. Isn’t it great learning that we can […]
What Can Fashion Learn From Software Product Management?
| 3 min readimage credit: mindtheproduct Great software products we use daily, change their “code” many times a day. For example, amazon improves its product every few seconds. Software products keep changing their form in the form of versions. There is nothing wrong with failing as long as there is continuous learning. After being in fashion and also […]
A Radical Analytics Adoption Framework
| 5 min readReturn on investment from any analytics solution comes from the application of insights. We are presenting a radical analytics adoption framework with insights from the second world war. It is worth pondering over the following three questions, “Why did China and India with all resources ahead of the rest of the world (western Europe in […]
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