Artificial Intelligence has Revamped Fashion Industry, What Next? Fashion mobile applications featured with artificial intelligence and machine learning technologies are providing automated solutions to users based on their shopping preferences and previous choices.
Online shopping has drastically grown in people’s life during the pandemic. Earlier, when the work was mostly professional at an office space, people spared very less time on mobile phones. Things have turned upside down now. Employees who are on remote working spend their leisure time scrolling through applications in their smartphones. They are often drawn to shopping apps that serve both as a pass-time and fashion guide.
In the age of digitization, artificial Intelligence (AI) and machine learning-based technologies in the fashion industry are providing automated solutions to everyone starting from manufacturers to app developers, distributors and customers. These disruptive technologies help people leverage digital possibilities into fashion and implement the best into the field. Styling an outfit is an intricate task that involves theme selection, picking of the primary colour, matching of cloth pieces, selection of accessories and getting the right fit. Even choosing a casual wear involves most of the mentioned criteria. Everyone can’t have a stylist to guide and select their everyday outfit. However, AI can help in this case. Artificial intelligence is capable of driving a clothes swap app to precise decision-making.
The global clothing and apparel market was valued at US$758.4 billion in 2018 and is expected to grow to US$1,182.9 billion in 2022, with a CAGR of 11.8% during the forecast period.
The new wave of change in fashion is shaping the way customers shop. Online applications use technology to filter costumes based on the customer’s preferences. Artificial intelligence uses everything from a user’s location, to his/her favourite brands, what’s trending and so on. A simple ‘yes’ or ‘no’ answer from customer helps algorithm to calculate the user’s style preferences and curates a selection of brands that ship through their own warehouse.
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