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Passion for fashion and retail industry
International consumer goods business
Marketing & Economics
Leadership, developing brands, consumer future
MAURITS JANSEN
MANAGING DIRECTOR Swarovski BENELUX & NORDICS
SWAROVSKI IS NOT ‘JUST ANOTHER RETAILER’
EUR 3.05 billion revenue
Approx. 30,000 employees
Approx. 3100 stores world wide
A touch of glamour, yet within reach
Heritage and mastery
On trend
Responsible
Imaginative
Vigorous
Passionate
THE SWAROVSKI BRAND
What
Target consumer
Distribution priorities
Product portfolio
Brand strength
Channel mix
Assortmentstructure
Idea to shelfprocess
Consumer engagement
Consumer
Product
Channels
Digital
Footprint
Profitable
growth & higher
consumer
satisfaction
8
Unique, consistent
consumer experience
Commercial smartness
and efficiency
OUR GOAL
Digital savvy consumers
24 hrs online
Personalization
Omni channeling
Convenience shopping
THE CHALLENGE: A CUSTOMER-CENTRIC RETAIL APPROACH
STORE PRODUCTIVITY
MERCHANDISING EXCELLENCE
RETAILING EXCELLENCE
OPERATIONAL IMPROVEMENT
‘Big Data: business relevance you can’t
see but with the right technology you can!’
FROM TOP DOWN TO BOTTOM UP APPROACH
CONSUMER PURCHASE FUNNEL
Product: coverting meaningful input to relevant output
Media: creating a constant dialogue with the
consumer
Speed to market: predictions on planning,
production, buying and merchandisingLoyalty: from consideration to purchase, from
purchase to re-purchase
How can data science help us to improve the customer experience?
WHAT HAVE WE IMPLEMENTED SO FAR?
Predicting daily demand of 40.000+ SKU-shop combinations
To minimize lost sales and redundant stock at end of season
Business value Consumer value
19.1% out of stock decrease
for best-selling products
Increased shopping experience: match
between assortment and customer needs on
a local level
No old season products in store
7.5 % increase in turnover
21% stock level decrease for slow moving
products
Sales of slow moving products not
affected
IMAGE RECOGNITION: THE NEXT STEP IN DATA SCIENCE
WHY ARE PICTURES SO IMPORTANT?
People can easily picture themselves owning the product
Makes the product much more tangible
More value is attached to the product
IMAGE RECOGNITION USED TO PREDICT CUSTOMER’S TASTE
‘Nowadays most intelligence is focused on textual data, but consumers are focused on images.
For taste sensitive products this can be enhanced with image recognition, because it is hard to
capture style related elements and product feel in product characteristic tags.’
THE ADVANTAGES OF IMAGE RECOGNITION
Brand: SwarovskiType: Remix BraceletManufacturing year: 2017Color: BlueMaterials used: Rose GoldPrice: 69€
Usually available data
Analyzing pixels
to detect color
Analyzing surrounding
pixels to detect shape
Calculating on images
But what about shape or style?
HOW DOES IMAGE RECOGNITION WORK?
As input for design for new products, to predict the success of the introduction in advance
HOW TO IMPLEMENT THIS IN THE FUTURE OF RETAILING
Recommendations of new product introductions, by prediction which customers will like them most.
Algorithms that replicate store representatives by getting an accurate grasp of the consumer’s taste
Quickly make an offer that matches individual needs
Offline in combination with VR
THE FUTURE OF RETAIL
‘The online and offline environment will be intertwined to an extent that everything is connected and everyone
online. This provides an abundant number of data and will bring the experience of the consumer to the next
level’