The industry's original [Style Matching Assistant] is online, opening up new ideas for finding models in 2023!
2023-06-20
Zhiyi Technology
We all know that group CP often has an effect of 1 1>2, far from being ancientThere are on-screen couples, happy families, and the consumer goods industryThe old tradition of selling a set of care kits,Even supermarket instant noodles and pots and pans have been tried and tested repeatedly.
“GoodMatch moreGood selling"The same is true in the clothing industry, there has been a first-line high-end women's clothing brand person in charge revealed:
"Matching allows a product to expand its possibilities and break through some of the preconceived notions of a brand or product. With the same style, rich collocation can make it appear in a variety of styles and scenarios, so the efficiency of attracting new users and converting will be higher. ”
His words are not alone. Zhiyi Technology has been rooted in the apparel industry for many years, and during this period, many cooperative customers have also fed back to us about their needs for style matching: some are exploring the matching with existing single productsFinding money needs； Some are discovering new outfits to stimulate new onesMarketing needs； Some of them are converted before and after the operation comparisonData requirements； Some of them are produced off-site promotional materials after the release of new productsmaterialDemand;Some of them were shot in a new styleMain image requirements…
In short, the diversified and multi-scene needs of clothing merchants for style matching, looking at the entire clothing industry, is indeed a real pain point that has not been served, but it is real.You can only rely on the designer, stylist, operation or the boss's own aesthetic to determine the winner.
To this end,Zhiyi Technology released [Zhijiao], an efficient mining of high-quality matching styles and data across the network.Products that help clothing merchants solve the problem of matching the whole link。Based on 400,000 data and years of precipitation of image recognition, natural language processing technology, and deep learning algorithms,[Zhitie] aggregates the collocation data of the whole network and provides the latest collocation styles and competitor collocation hotspots，Intervention in the clothing design workflow from the perspective of collocation to help clothing merchants improve the efficiency of finding money！
Click to request a demo to request a trial
Next, we'll start with, respectivelyDemand for money, marketing, data, competitionDemand and explore the demand for clothing styles across the network5 pcsAngle to start, for everyone to introduceWhat exactly is [know the ride] and how to use it。
Requirements:
Find the style you need with just one click
In the apparel industry, you must go to Taobao Tmall, Douyin, Xiaohongshu, Vipshop and other mainstream e-commerce platforms to "do research" and tap some potential models that may become popular as a reference for the development of new models of your own brand.
For example, Taobao's iFASHION channel, we saw that the official launch of the OOTD matching circle for consumers, and there are also some classic LOOK displays of style trends as a reference for wearing.
But yesFind moneyof clothing merchants,The collocation recommendation role of the iFASHION channel only stays on the surface.Deeper, more specific product information such as sales volume and sales also need to be completed by tedious manual operations of merchants。
There is also the problem of personalized screening and matching styles, which are not yet provided by mainstream e-commerce platformsstyleThe matching filtering/sorting conditions also do not support the visual display of the sales, sales or price band of each set on the page, which cannot meet the needs of clothing merchants to achieve accurate finding in the matching scene.
For example, after "dopamine dressing" exploded out of the circle, if clothing merchants want to follow up and develop a certain clothing combination, it is difficult to directly on the e-commerce platformCustomize the sorting according to your needs to find the target matching style, and you will fall into the dilemma of not knowing where to start.
After the launch of [Zhiqi],Directly hit the pain point of "unable to quickly find money in matching scenarios" of merchants, opening up a new scene for finding money——Help clothing merchants accurately screen out the top matching models in the market in terms of style, color, sales and other dimensions，One-click generation and matching of commodity cards, combined with market feedback to assist designers to find money.
To put it simply, it's a clothing merchantAdded a new way to find money in the context of clothing combinationsWith the help of [Zhijiao], search and find matching styles that meet your needs on the whole network, and dig those in combination with data such as sales volumeSuccessful cases that have been verified by the market, and then designed based on brand tonality,It greatly improves the efficiency of merchants。
Marketing Needs:
Intelligently recommend high-sales combinations
In addition to finding money, most clothing merchants also have the need to stimulate the resale of existing single products, after all, the business model of "one fish to eat more" can maximize the potential of single products, and can also attract other products.
For example, a store that specializes in jeans will display jeans and shirts, T-shirts, and sweatshirts on the product detail page, which can not only show the versatility of the jeans, but also make consumers interested in matching shirts, T-shirts and other categories, so as to facilitate the collaborative layout of the merchant category and expand more business lines.
Or it is based on the existing popular single product to drain the inventory products with poor sales effect beforeDiversified outfit combination effect to lower the decision-making threshold of consumers, and then use the set price discount for promotion.
All in all, the sales model of matching and combining is a sales strategy that most clothing merchants will try.pregnantAfter [Knowing the Ride],Quickly find the best selling style based on existing itemsIt is also an effective way for merchants to increase sales and clear inventory。
In [Zhijiao], merchants canCustomize filters based on the characteristics of existing items, and then sort the results by sales, sales, price band, and moreIt's easyDirectly learn about the types of products that are available in the current market and have the best combinations, which can be used for bundling to increase sales.
Data Requirements:
Comparison of data before and after matching
For the operation side of clothing merchants, another concern about style matching is the uncertainty of the combination and matching effect.That is, when merchants dig and refer to the style combinations on the market, it is difficult to know whether the sales volume has increased after the bundle sale.
[Zhi Pair] provides a trend chart of style matchingShows the sales, sales, and price changes before and after the product is paired, with comprehensive and accurate data to fill in the lack of official quantitative indicators of the sales effect of the matching combination,Help merchantsIntuitively understand the changes in product sales after the complete set of matching, and assist in operational decision-making reference。
It can be said that with the collocation curve chart of [Zhi Tie], merchants can search for various diversified collocation combinations based on existing single products, and make operational decisions that are conducive to product management and brand profitability according to the before and after comparison of the sales effect presented by the curve chart, so as to achieve more complete process management.
Competitive Demand:
Real-time tracking of competitive store matching modules
In terms of optimizing the operation of store products, it is also an effective and efficient way to understand the popular style of the industry's leading players by tracking and learning from high-quality clothing stores, including their style matching strategies.
However, due to the lack of effective digital analysis methods, clothing merchants in the past could only consume manpower to manually search and find the matching combination of target stores one by one, not to mention the low efficiency, and could not comprehensively and real-time compare the sales gap before and after bundling.
Once you have [Know], you only need to set up "Monitoring", and you're good to goIn the [Monitoring Center], you can view the matching styles on the shelves of the monitored stores on a daily basis to help merchants efficiently track the current main matching styles of the target storesto assist in the operation of your own brand or to find money.
Clothing style requirements:
Dig out the matching styles that are trending all over the network
In addition, regarding the official recommendation of the Tao system and the matching style or style that is popular in the market, [know the match] alsoIt aggregates the different styles and styles involved in the clothing matching combination of the whole network。
And because[Zhida] comes with unique filter items and sales volume sorting settings for the apparel industrythereforeCan help clothing merchantsGet the most recognized collocation method by the market and consumers at the first time, as well as sales performance under different style combinations.
For example, a merchant is about to launch a new Chinese-style white skirt, in order to better show the wearing effect of the item, you can first use [Zhi Dai] to searchHas it ever been launched on the market?Similar matching recommendations, combined with sales charts to evaluate which combination has a better market effect,Assist merchants to quickly find the best style matching for sale in the current market。
If you want to know more or get early accessThe newly launched style matching assistant - [Know],Click "Book a Demo" to immediately apply for a more detailed product demo (online/offline)~
