Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
MAURITS JANSEN
MANAGING DIRECTOR
SWAROVSKI BENELUX &
NORDICS
Passion for fashion and retail industry
International consumer goods business
Marketing & Economics
Leadership, developing...
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 SWAROVS...
What
Target
consumer
Distribution
priorities
Product
portfolio
Brand
strength
Channel mix
Assortment
structure
Idea to she...
Profitable
growth & higher
consumer
satisfaction
8
Unique, consistent
consumer experience
Commercial smartness
and efficie...
Digital savvy consumers
24 hrs online
Personalization
Omni channeling
Convenience shopping
THE CHALLENGE: A CUSTOMER-CENTR...
STORE PRODUCTIVITY
MERCHANDISING EXCELLENCE
RETAILING EXCELLENCE
OPERATIONAL IMPROVEMENT
‘Big Data: business relevance you...
CONSUMER PURCHASE FUNNEL
Product: coverting meaningful input to relevant
output
Media: creating a constant dialogue with t...
WHAT HAVE WE IMPLEMENTED SO FAR?
Predicting daily demand of 40.000+ SKU-shop combinations
To minimize lost sales and redun...
IMAGE RECOGNITION: THE NEXT STEP IN DATA SCIENCE
WHY ARE PICTURES SO IMPORTANT?
People can easily picture themselves ownin...
IMAGE RECOGNITION USED TO PREDICT CUSTOMER’S TASTE
‘Nowadays most intelligence is focused on textual data, but consumers a...
Brand: Swarovski
Type: Remix Bracelet
Manufacturing year: 2017
Color: Blue
Materials used: Rose Gold
Price: 69€
Usually av...
BASED ON THIS PIXEL DATA TASTE CLUSTERS ARE CREATED
THAT REPRESENT SOMEONES TASTE
As input for design for new products, to predict the success of the introduction in advance
HOW TO IMPLEMENT THIS IN THE F...
THE FUTURE OF RETAIL
‘The online and offline environment will be intertwined to an extent that everything is connected and...
THANK YOU
#SWAROVSKIBEBRILLIANT
Presentatie big data expo swarovski
Presentatie big data expo swarovski
Upcoming SlideShare
Loading in …5
×

1

Share

Download to read offline

Presentatie big data expo swarovski

Download to read offline

Taste estimation: predicting the next best seller!

Related Books

Free with a 30 day trial from Scribd

See all

Presentatie big data expo swarovski

  1. 1. MAURITS JANSEN MANAGING DIRECTOR SWAROVSKI BENELUX & NORDICS
  2. 2. Passion for fashion and retail industry International consumer goods business Marketing & Economics Leadership, developing brands, consumer future MAURITS JANSEN MANAGING DIRECTOR Swarovski BENELUX & NORDICS
  3. 3. SWAROVSKI IS NOT ‘JUST ANOTHER RETAILER’ EUR 3.05 billion revenue Approx. 30,000 employees Approx. 3100 stores world wide
  4. 4. A touch of glamour, yet within reach Heritage and mastery On trend Responsible Imaginative Vigorous Passionate THE SWAROVSKI BRAND
  5. 5. What Target consumer Distribution priorities Product portfolio Brand strength Channel mix Assortment structure Idea to shelf process Consumer engagement Consumer Product Channels Digital Footprint
  6. 6. Profitable growth & higher consumer satisfaction 8 Unique, consistent consumer experience Commercial smartness and efficiency   OUR GOAL
  7. 7. Digital savvy consumers 24 hrs online Personalization Omni channeling Convenience shopping THE CHALLENGE: A CUSTOMER-CENTRIC RETAIL APPROACH
  8. 8. 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
  9. 9. 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 merchandising Loyalty: from consideration to purchase, from purchase to re-purchase How can data science help us to improve the customer experience?
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. Brand: Swarovski Type: Remix Bracelet Manufacturing year: 2017 Color: Blue Materials used: Rose Gold Price: 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?
  14. 14. BASED ON THIS PIXEL DATA TASTE CLUSTERS ARE CREATED THAT REPRESENT SOMEONES TASTE
  15. 15. 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
  16. 16. 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’
  17. 17. THANK YOU #SWAROVSKIBEBRILLIANT
  • AchimSchneich

    Jun. 19, 2018

Taste estimation: predicting the next best seller!

Views

Total views

587

On Slideshare

0

From embeds

0

Number of embeds

33

Actions

Downloads

9

Shares

0

Comments

0

Likes

1

×