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1、Digital Fashion TechnologyFashion Big Data ApplicationFashion Big Data ApplicationBig data eraBig data refers to collections of data whose contents cannot be captured,managed,and processed within a certain period of time using conventional software tools.1024B=1KB1024KB=1MB1024MB=1GB1024GB=1TB1024TB
2、=1PB1024TB=1PBIn 2008,Google brought big data analytics into the public view.In 1998,John R.Mashey,chief scientist of SGI in USA,first proposed Big Data.The specific application of big data in fashion industryConsumer data analysisAnalysis of fashion sales dataData-oriented operation of fashion ente
3、rprisesJD Data Research Institute:Female Consumption ReportPost-90sPost-80sPost-70sPost-60sSource:JD Big DataConsumer data analysisBaidu luxury data analysis reportSource:Baidu Big DataConsumer data analysisHendu Group PK La Chapelle(Customer Value Analysis)Handu GroupLa Chapelle CustomerTarget cust
4、omersMainly women,including:women,men,childrenMainly women,including:women,men,childrenGoodsCategoryMain fast fashion womens clothingMain public womens leisure clothingStyleLeisureLeisureStyles number30,000 new styles are available every year,and 50100 new styles are available every day8000 new mode
5、ls per year,new models every two weeksPriceCost performance,mark-up rate of 1.65Cost performance,mark-up rate 3.14ServiceOnline customer servicePhysical stores have guidesRelationshipSales channelsOnline sales accounted for 100%Online sales 6.5%,shopping mall counters 65.7%,exclusive stores 27.6%Sto
6、re locationFirst-tier cities 12.4%,second-tier cities 41.3%,third-tier cities 24.7%and other cities 21.6%Store relationshipDirect managementImageNumber of brandsInternet clothing brand,there are more than 20 sub-brands10 proprietary brands and 4 invested brandsPS:Mark-up rate=(sales-cost of sales)/c
7、ost of salesSource:How to grow clothing retail against the trend Li ZhenglongConsumer data analysisHendu Group PK La Chapelle(Operating costs)Source:How to grow clothing retail against the trend Li ZhenglongHendu Group La Chapelle Unit:Ten thousand YuanIn 2015In 2014In 2015In 2014Main business incom
8、e125 96283 119909 571781 417Main business cost76 30554 166289 728244 966Gross profit margin49 65728 954619 843536 451The cost of sales41 55930 117505 054441 171The logistics cost5 6895 467 89 578 54 479Passenger flow cost22 96718 963256 710232 005Management cost3 6161 99938 37827 045Staff costs13 21
9、26 054190 819163 073Operating profit3 228-3 65582 84073 356Clothing sales data analysisHandu Group PK La Chapelle(Core competitiveness index)Data operation of clothing enterprisesCategoriesIndicatorsHandu Group La chapelleStrategic planOverall operating revenue increased year-on-year52%16%Design cho
10、iceAnnual number of new products30 0008 000Average number of new products on the market8222New launch cycleDaily14 daysMerchandise purchaseNew generation cycle15 days-Generate a complementary cycle10 days-Replenishment delivery cycle15 days-Commodity operatingSold out rate95%-Inventory turnover days
11、83 days194 daysSource:How to grow clothing retail against the trend Li ZhenglongSource:China Clothing NetworkData operation of clothing enterprisesPrecise product positioningHandu uses big data algorithm to create an accurate product label system and smooth the lag period of product explosion under
12、big data.The use of deep data valueThe intelligent network supported by big data and model algorithm effectively improves the data empowerment of Handu flexible supply chain.Big data service platformsOverview of big data technology01The specific application of big data in fashion industry03Big data service platforms02SummaryThanks