Faced with the impact of artificial intelligence, even the fashion industry, which focuses on handcraftsmanship and creative concepts, has not been immune. The creative field, which is the "last line of defense for mankind", has been broken, and the future of the fashion industry will surely depend on the entire industry. Social processes are closely related. When artificial intelligence enters the fashion circle, bottom-up user demand data becomes the starting point for design and matching, and another possibility will emerge in the direction of fashion trends.
##1. Improve fashion design and manufacturing
#Given the constant changes in fashion and design, retailers need to always keep up with the latest trends and anticipate consumer preferences for the next season. In the traditional model, retailers usually estimate sales for the current year based on data from the previous year. But this is not always accurate, as sales can be affected by many factors that are difficult to predict, such as changes in trends. However, demand forecasting methods based on artificial intelligence can reduce forecast errors by 50%.
After the clothes are designed, artificial intelligence technology can also play a role in the manufacture of imitations. Fashion manufacturers are creating new AI applications to help make manufacturing processes more efficient and assist human workers. Artificial intelligence systems are used to spot defects in fabrics to ensure the garments match the colors of the original design. Artificial intelligence technologies such as computer vision make the quality assurance process more streamlined.
2. Accelerate logistics and improve supply chain efficiency
Machine learning technology is also used to speed up logistics and improve the efficiency of the supply chain. Artificial intelligence is used to manage and optimize supply chains, as well as reduce shipping costs and shipping times. Machine learning algorithms are used to more accurately predict inventory needs, thereby reducing waste or last-minute canceled purchases to meet unexpected spikes in demand.
3. Predictive analysis
By automating product tags, AI is used in every attribute Analyzing market performance at a high level, buyers can not only understand products with good performance, but also understand detailed attributes such as colors, prints, sleeves, and collars.
In addition, AI provides real-time data to observe changing trends and inventory performance, instead of comparing trends and stock performance at the end of each quarter Make summary decisions based on product performance. Therefore, purchasing and sales teams can adopt proactive strategies to meet consumer needs as soon as they arise and maintain consumer satisfaction at all times.
4. Product and pricing mix strategy
Retailers can use the rich data provided by artificial intelligence to meet the needs of each customer and segment with customized product and pricing strategies.
Make business decisions based on data to achieve the ideal product pricing mix for each market, meaning reducing excess inventory and markdowns.
Artificial intelligence increases inventory turnover by predicting demand for old inventory and analyzing it based on demand forecasts. Inventory can be reallocated to targeted locations to meet demand and prevent store stockouts, while markdowns and promotion strategies can be planned and prioritized accordingly to resonate with the right customers looking for value at the right time.
5. Artificial Intelligence Clothing Matcher
"How to wear tomorrow" may be other than "What to eat tomorrow" The most vexing problem besides. A professional image designer must take into account factors such as the body shape, skin color, personality, living habits, and professional characteristics of the person being matched when matching clothing, so he charges a high price. The emergence of artificial intelligence clothing stylists is expected to allow everyone to have a clothing stylist of their own and no longer worry about "what to wear tomorrow".
There are many start-up companies at home and abroad involved in the field of artificial intelligence clothing matching, and they use different entry methods. Some use smart wardrobes to match the existing clothes in the wardrobe by identifying the user's daily style, weather, wearing occasions, etc. Some help users find the most suitable clothing products by collecting users' personal characteristics, combining shopping records and data on likes of celebrities or internet celebrities' outfits on social networks.
On the one hand, the development of AI and robotics technology has brought great convenience to our lives. On the other hand, it has also created the idea that "human jobs will eventually be replaced." "Concern. In fact, throughout the course of history, technological leaps will inevitably lead to the survival of the fittest in social division of labor, and this evolutionary process is the epitome of human progress. The fashion industry is not special. It will definitely move forward along the established social development trajectory. Everything is changing, and the only thing that is certain is that creative concepts that belong to the nature of the industry will only become more important. The development of AI and robots has also made the entire industry purer to a certain extent.
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