AI Crossover To Fashion Industry Is The Trend Of Forecasting Trends.

The so-called time is time, now, in a period of time; still, there is advocation, lofty, high quality and leading.

In fact, fashion is not only for modification, but also has evolved into a sense of truth, goodness and beauty.

I believe that the most difficult decisions to be made every day for women, not in offices, Starbucks or restaurants, must be in front of a crowded wardrobe.

Each time matching the clothes is like solving mathematical equations, taking into account both the workplace and the comfort of the clothing, it is better to represent your mood.

There are too many variables and no enough brain.

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In the field, most decisions must be done by consumers themselves, no matter whether they are purchased or matched, they can not rely on a scheduling platform like Uber, which does not require consumers to exercise any heart.

So there are usually consequences: buy and buy in order to match the existing clothes or catch up with the new trend; pick up the unsuitable clothes, press the bottom or return the goods.

Consumers' self selection and "endless" purchase also impact on the fashion industry itself, giving birth to super fast fashion brands, which can be launched every week.

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The slow luxury has begun to buy and sell, to respond to the fast changing tastes of consumers.

The fashion industry started a "speed competition".

But performance can't fool people, though ASOS doubled sales in the past two years, but profits are stagnant.

Many attempts to buy or sell luxury brands have been withdrawn. Although Burberry is still in operation, revenue has not improved at all.

And fast fashion has often been on the environmental blacklist.

Amazon was able to venture into the fashion industry when it was in the mire of the retail department store, and got a good result because Amazon had abundant data, knew what clothes to sell, and knew which specific consumers to sell the clothes to.

When they open the Amazon, they can see their favorite costumes, greatly reduce the decision-making time, but also to maximize the avoidance of subsequent inappropriate or return trouble.

If retailers are using data and AI technology to help customers make decisions and choose products that are most suitable for them, so that they can avoid blindly catching up with fashion trends and buy many ineffective products, can the whole fashion industry return to normal rather than trying to produce more "plagiarism" products?

AI first crossover to fashion industry

In March this year, IBM Waston worked with fashion media WWD to interpret the trend of autumn and winter.

Waston uses advertising brochures, articles, blogs, images and social media data, like a fashion veteran, giving the autumn and winter color in 2017.

If AI is used in consumer clothing choice, it can predict when consumers want to buy clothes and buy what styles of clothes according to past consumption data, and then give suggestions to allow consumers to add some essential items instead of shirts and trousers with only a dozen dollars.

For consumers, it is no longer necessary to brainstorm Taobao, to worry about buying clothes, but also to reduce impulse consumption.

For the fashion industry, encouraging consumers to consume less and better can not only reduce waste, but also facilitate sustainable development.

Amazon has taken the lead in realizing this idea, and launched the smart camera with Echo Look smart camera that can judge the user's clothing style. According to the machine learning algorithm and fashion experts' advice, it helps users to customize their costumes and evaluate their clothing collocation.

Although Amason takes the lead, small companies can still seize the opportunity of AI to make a "reform" in the fashion industry.

If the role of AI is used in the food industry, it will also be possible to solve every problem for another day.

Like a smart fridge, AI can scan your fridge to survive and understand your preferences.

After the refrigerator is empty, give you a shopping list and save your worries.

More attention should be paid to the world clothing shoes and hats net.