Adoption of Technology in Fashion. Is it too late?
First thing first, there is a bug going around. No need to be afraid it is just the fear of missing out (FOMO) as it is fondly called that industries are experiencing.
There has been a significant rise in the adoption of technology in various industries over time and it appears that the fashion industry seems to have finally caught the tech fever. Fashion appears to be the last industry to imbibe technology though we see that technology has changed the retail business from the ground up, from brick and mortar to internet buying. Artificial intelligence, data analytics, virtual technology, and digital marketing are all examples of technology that are helping the fashion business.
By embracing technology, the fashion industry has grown the retail industry in a more contemporary manner. Both brands and customers rely on innovative technology to sell and shop better in today’s world.
However there are still gaps (read opportunities) in the fashion industry. According to EY in September, it was shown that on average, 2.2 items out of ten were returned by internet customers. 76 percent of these returns were sent back owing to a fit or sizing issue in the UK.
Generally, customers are of various sizes and shapes. Customers’ purchasing decisions are influenced by clothing fit issues. Customers’ key worry, particularly among teenagers and women, is finding items that are both well-fitting and stylish.
Because of this, there is an introduction of 3D technology to provide a unique experience for our clients’ shopping. With this technology, a 3D model with similar resemblances of the client can be produced through scanning. An individual who wants to order their outfit can stand in front of the view of the scanner, while it captures the customer’s body image and produces 3D images within seconds. This technology will help designers to view a garment and whether it looks good on an individual or not, even before the garment is prepared. By integrating this technology, our tailoring business revenue can greatly increase.
An AI method named unsupervised learning is employed to encode a large database of prior knowledge and then use supervised learning to build a model that can interact with the encoded database and user. To focus on holistic reasoning, the model is trained on the complete image at a low resolution. Observing the image and the first output at a greater resolution, the model gathers 3D data on physical things, such as their shape and size to create and evaluate digital 3D models using high-density point clouds or triangle meshes. The scanned data is subsequently cleaned up, gaps are filled, errors are corrected, and overall data quality is improved using Open Refine, a data cleaning technique. For 3D CAD modeling, it is exported as an STL file and processed.
When the customer is measured three-dimensionally, the digitized image is shown on the computer screen and the customer can choose a garment with a style that goes with his choice.
Is there a need to always include tech and go through all this hassle? *groans*
Well studies show that customers will trust the brand and patronize it if they have a unique customer experience. According to research by Wunderman, 79 percent of customers prefer to do business with a company that shows it cares about them. Also companies can record an increase in revenue due to a reduction in the percentage of online customers returning clothing due to sizing difficulties.
