This presentation was made by Daniel D. Gutierrez of AMULET Analytics for the Grid110.org Demo Day at The New Mart showing a new face of the LA apparel industry using data science.
Don’t Get Showroomed- Are you frustrated with showrooming?
LA Fashion Industry analytics project with Grid110
1. Los Angeles FashionTech
2016 Industry Analysis
Daniel D. Gutierrez, Data Scientist
AMULET Analytics
January 27, 2016
2. AMULET Analytics is pleased to work
in collaboration with GRID110 to use
data science methodologies to show
how the fashion industry is a strong
economic driver for DTLA
AMULET Analytics is the consultancy
of LA-based data scientist Daniel D.
Gutierrez
I am a long-time data science &
machine learning practitioner,
educator, author and journalist
I work with The New Mart to use social
media to extend brand reach
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Data Science via Strategic Partnership
3. Public Data Sources
– data.lacity.org – open data resource for the City of Los Angeles
– www.labormarketinfo.edd.ca.gov – California Employment Development Dept.
Privately Procured Data
– GRID110 building a private data repository data set for LA FashionTech
– Data set includes: business starts, head count, revenue history, investment totals
– Data set is updated each Quarter and is available on a subscription basis
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Data Sources
4. / page 4
LA Fashion Industry Overview
LA Fashion District’s Uniqueness
New York and London is all about design ✔
Los Angeles is all about “the business of fashion” ✔
LA’s Apparel Industry Success Drivers
The pull of design talent ✔
Favorable cost economics ✔
The appeal of casual clothing (particularly denim) ✔
Fashion ✔
Speed to market ✔
Apparel and Textile Sector Strength Continues
More than $46B in apparel imports comes through LA
ports ✔
Local companies capture more than $18B in revenues
and $6.4B flows to local workers
5. / page 5
Buyer Reach for The New Mart
National and Global Buyer Reach
The New Mart is at the pole position in LA’s Fashion District – at “The Intersection”
As a premier fashion mart in DTLA, The New Mart is a great example of the strength of LA fashion
Buyers from nearly every state
Buyers from many countries around the word
6. / page 6
LA Fashion Industry Business Starts
Business Starts by Sector
Data for 2006-2015
Retail dip in 2014 due to
changes in NAICS
classification, e.g. e-
commerce
Manufacturing dip in 2014
due to evolution of sector
and NAICS classification
FashionTech as a new
sector coming on strong
22. / page 22
LA Fashion Industry Annual Revenue
Revenue by Sector
Data for 2006-2015
Retail dip from 2008-2010 due to Great Recession
Manufacturing only flat during this period
Average 2.5x separation between Retail & Manufacturing
FashionTech as a new sector coming on strong
23. / page 23
Analysis, Conclusions & Suggestions
Strong Activity Continues: 1,130 store openings • retail/mfg revenue rebounded
DTLA Remains Dominant: Density clusters overwhelmingly in neighborhood
FashionTech is spread randomly throughout LA County
SUGGESTION: FashionTech companies should gravitate toward DTLA over other parts
of LA County, and the traditional Fashion Industry should welcome them
Proximity to business resources expressly for fashion
Press Coverage
Infrastructure
Events: Market Weeks, Melange, etc.
SUGGESTION: The industry should advocate for a new NAICS Code: Fashion Tech
Helps to more accurately understand market trends
Allows for more precision in analyzing market niches
Shows increasing power of tech in fashion
24. / page 24
What’s Next for Fashion Tech Analytics?
Today is Just the Start!
Early stages of using data science for looking at LA’s Fashion Industry
Early stages of a private effort for collecting FashionTech data (first of a kind)
Continue to Build the LA FashionTech Database
Collect data for business starts – geospatial data analysis
Collect revenue data
Collect investment data
Collect labor data
Comparison with LA fashion industry as a whole
Build New Resources and Technology
New industry analysis report
Interactive web applications
Look for final results in Summer 2016
