With the rise of artificial intelligence in other industries globally, the future of fashion tech is gearing up to reveal its full phase. The all new generative AI has the potential to help fashion businesses become more productive, get to market faster, and serve customers better. For example, designers can use AI to create new designs by inputting images of different clothing items. The AI can then combine these designs in unique algorithms to create something entirely new. It is enabling fashion technology to go beyond the traditional shopping experience.
AI-enabled chatbots offer customers the opportunity to shop in the convenience of their own homes by providing personalized recommendations, interactive product displays and styling advice. For example, denim pioneer, Levi Strauss & Co., revealed their plan to introduce AI-generated models for e-commerce. They claim this shift is to supplement real models rather than replace them, in order to diversify their digital platform.
By now, you’ve most likeky used OpenAI’s ChatGPT, the AI chatbot that became an overnight sensation and sparked a digital race to build and release competitors.
Generative artificial intelligence
A trending word of 2023, generative artificial intelligence can be defined as algorithms to produce entirely new content. Once a generative AI algorithm has been trained, it can produce new outputs that are similar to the data it was trained on. As we speak, AI is already being used giving fashion professionals and creatives the technological tools to do certain tasks dramatically faster.
Due to the removal of creative leadership, these processes would be more likely used for the fast fashion model of production.
Current State of AI in the Fashion Industry
Artificial intelligence has a wider influence on contemporary business than most companies realize. Without the aid of AI, businesses can miss sales opportunities and lose efficiency within their teams. It is enabling companies to analyse data, enhance creativity, and streamline operations.
AI also offers insights into customer behavior, empowering fashion entrepreneurs to create more relevant and better-targeted marketing campaigns.
When designers and brands launch new collections, they often use photoshoots or videos to showcase their lines. Fashion designers globally and also in India are experimenting with AI-generated designs and models, saving costs and promoting sustainability.
AI generated model, dress, design and location by fashion designer Gunriddh Sial (House of Gulaal)
The Impact of AI on Online Retail Business
Today’s customer allows businesses to collect and use their personal data, and they expect an elevated customer experience in exchange. By analyzing customer data, AI algorithms can predict which products are most likely to be purchased, allowing retailers to optimize their inventory management and reduce waste. For example, the AI tool could analyze all of a customer’s feedback, which could include hundreds of text comments, email requests, product ratings, and online posts. If a customer regularly posts positive or assertive comments on a certain style of dress, AI could generate images of similar dresses that the customer would likely want to purchase.
Consumers often want to see how a dress will fit their body and like to view it from different angles. Virtual try-on apps can use AI and computer vision technology to give customers an accurate 3D representation of their bodies. This can give shoppers a better sense of how clothes fit them, reducing the risk of buying items that don’t fit or are unsatisfactory.
The Negative Implications
This supplement, among other AI implementations, will still result in lost job opportunities for fashion models, journalists, customer service representatives, data administrators, copywriters, designers, and more professionals. With AI algorithms driving design and marketing decisions, there is a risk that fashion will become less individual and less creative. This could lead to a decline in the quality of fashion products, as well as a decline in the popularity of the overall industry. Designers are sometimes criticized for creating derivative works and copycat designs.
While risks are unavoidable, executives can mitigate their potential impact by establishing a process to address risk, ethics, and quality assurance.
Delhi-based fashion designer Manish Tripathi feels human touch and feel is what the fashion is all about. “Like we love the smell and taste of food, same goes with fashion as well. See, we have power looms but handlooms have their own charm, machine work can’t beat hand embroidery similarly the AI models-design can’t take away the charm of models and authentic work. But eventually technology (AI) will prevail and will surely impact the industry.” (said in an interview with The Hindustan Times).
In summary, the fashion industry holds a bright future ahead with AI powered technologies. This would empower them to improve customer satisfaction by providing an enhanced shopping experience. However, the future of this technology in the apparel and luxury industries is still being stitched together. There is still a long way to go.