How AI is dominating the fashion supply chain

We cannot deny that 2023 is THE year of artificial intelligence. We don’t know about you but we’re filled with curiosity about how AI will take over the fashion industry. As the industry is taking a more practical approach with the economic situation going on, brands are investing in innovation with AI. Many are contemplating whether AI will be a threat or an opportunity for the industry, in addition many designers are fearing the threat of AI to their job. In this article we will tell you how AI and generative AI like Chat GPT  and DALL-E 2  can be great opportunities for the fashion industry and can actually help fashion professionals do their job better! AI in the fashion industry can be seen all across the supply chain from warehouses and the design process to retail stores and e-commerce.

Trend-ai 

AI that can tell you what styles are trending from the runway?! Are we dreaming? No, there is “Data but make it fashion” that does that job for you! “Data but make it fashion” uses AI image recognition models and data analytics to figure out which runway trends are objectively in style. By viewing data trends of high-fashion collections, customers and designers alike will develop a better understanding of what is trending, what is on its way out, & what is on the uprise. Why wonder if an outfit is in style when AI like databutmakeitfashion and tag maker can tell you! 
Data but make it fashion

AI is designing clothes now? 

AI is not only dominating the data and technical side but AI is designing clothes now? AI prompts are a design team’s best friend or biggest threat! Virgil Abloh would use Whatsapp as his design tool where he would send inspiration pictures to his design team where they would translate the ideas into designs. Miuccia Prada doesn’t do the sketches herself but instead has a staff that translates her ideas. So how will AI find a place in this? This is where AI prompts aka generative AI comes in. 
Levis digital transformation depends on AI, accelerating the time taken on tedious tasks and uncovering new opportunities. Ron Pritipal, Levis design coordinator, takes AI on a test run on Levis’ first ever Machine learning bootcamp. By designing a new algorithm, he took his passion for classic art history pieces and the various parts of those art pieces like brush strokes and colors to redesign them in a click of a button for various designs for a new Levis truck jacket. These designs can then be narrowed down to a few designs to be then given a human touch to perfect it. 
Levis AI generated truck jacket

A-eye on the core 

It’s the year we say goodbye to excess inventory and tricky stock management, AI is coming to the rescue! As disruptions in the supply chain take over and forecasting demand is becoming a challenge for many brands, AI will leverage data to allow brands to plan their distribution more precisely based on on-demand and off-demand products and how much stock should be produced especially if a company holds thousands of SKUs. 
As much as Kering has been spinning our heads with its metaverse projects, 70% of its investment is going into innovating the core business, with its latest investment in AI to improve inventory forecasting and stock allocation which has proved to be 20% more accurate than previous methods. 

RetAIL 

AI can be leveraged on E-commerce inorder to improve the overall experience of the consumer and give them a more personalized experience. E-commerce retail giant ASOS is using AI and Machine Learning to do just that! By using AI, ASOS allows the customer to provide information of their specific style preferences which results in more personalized and relevant style suggestions for the shopper. Also ASOS’ “shop the look features”, not only recommending similar products but acts as a personal stylist by recommending a whole outfit for you based on your chosen products. 
ASOS “shop the look”
Image product discovery is becoming more and more popular on E-commerce websites, and now it is powered by AI. Syte is the world’s first product discovery platform for e-commerce driven by visual AI, by “ identifying items within any image, breaks them down to precise visual attributes, and suggests similar and complementary products from the inventory to ensure shoppers find exactly what they’re looking for” which in return drives a higher conversion rate and uplift in order value. 
Syte AI product discovery for e-commerce

Chat GPT meets fashion

As Chat GPT is finding its way into many apps like Bing by Microsoft and Snapchat, how can fashion use Chat GPT to the best of its ability? Chat GPT is great at answering any of your questions or prompts like a know it all bestie, even Ryan Reynolds used Chat GPT to help him write a copy for his latest Mint Mobile commercial. DALLE, an image generator powered by Open AI is also creating a phenomenon in fashion design. 
Since chatbots for customer service are the nightmare of many of us ,Chat GPT could offer a more accurate and helpful chat bot for brands’ e-commerce websites by actually telling consumers their order tracking data straight up. In the fashion marketing side of the industry, Chat GPT can be helpful for writing copy for targeted ads to product pages. Conversational AI tools like Chat GPT can also be a turning point for how consumers research online, rather than offering a number of options, AI can just offer a straight answer to “what are the best sneakers of 2023” 
Chat GPT
AI is revolutionizing the fashion industry in ways we never thought possible. From trend-ai that identifies which styles are in vogue to AI-powered design prompts that help designers create new and exciting designs in record time. Of Course AI still has some flaws and lacks a lot of expertise until it can be used in all areas of the fashion industry including the supply chain. On the other hand AI  can offer some great opportunities for the industry that is beyond what humans are capable of, the opportunities it offers the fashion industry are boundless, and we can’t wait to see how it continues to shape the industry in the coming years.