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11 |
Dr. Juha Koponen, Co-Founder
World Circular Economy Forum
4 June 2019
22 |
● $343B Clothing & Apparel market
● $100B Pre-owned opportunity
● 400B€ Clothing & Apparel market
● 100B€ Pre-owned opportunity
85%
goes to waste
75%
goes to waste
Unsustainable clothing & apparel market has created
a big business opportunity
33 |
Swap.com
● On-line consignment store for
pre-owned items in the USA
● Offices in Helsinki, Finland and
Woodridge, IL, USA
● Launched 2013
● Raised 50m+ EUR
44 |
Sold 8m pre-owned items
200,000 tons of CO2
saved
55 |
Industrial scale operations for pre-owned item processing
66 |
Neural network automates item recognition and attribute extraction
…pattern…
Polka dots Floral
Recognized with
99% accuracy
Recognized with
96% accuracy
…and look
Active Bohemian
Recognized with
97% accuracy
Recognized with
95% accuracy
Items are recognized based on type...
Dress pants Sweatpants
Recognized with
90% accuracy
Recognized with
80% accuracy
Data from >8m items with high quality photographs and metadata trains the neural network to extraordinary levels
77 |
Growth and Turnaround
● Among 5 fastest growing US
clothing retailers 2016
● Prepared to very fast growth
● Turnaround in spring 2018 with
cost savings
● Turning profitable in 2019
● New round open
88 |
● Real world problems require scale
○ Costs big money and requires risk taking
● Commercial investor will not fund solving the
sustainability issue
● Doing good helps to put your business to some
investors’ focus
● Align your business with the sustainability goal
Learnings

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Juha Koponen WCEF2019: Investing in circular economy businesses

  • 1. 11 | Dr. Juha Koponen, Co-Founder World Circular Economy Forum 4 June 2019
  • 2. 22 | ● $343B Clothing & Apparel market ● $100B Pre-owned opportunity ● 400B€ Clothing & Apparel market ● 100B€ Pre-owned opportunity 85% goes to waste 75% goes to waste Unsustainable clothing & apparel market has created a big business opportunity
  • 3. 33 | Swap.com ● On-line consignment store for pre-owned items in the USA ● Offices in Helsinki, Finland and Woodridge, IL, USA ● Launched 2013 ● Raised 50m+ EUR
  • 4. 44 | Sold 8m pre-owned items 200,000 tons of CO2 saved
  • 5. 55 | Industrial scale operations for pre-owned item processing
  • 6. 66 | Neural network automates item recognition and attribute extraction …pattern… Polka dots Floral Recognized with 99% accuracy Recognized with 96% accuracy …and look Active Bohemian Recognized with 97% accuracy Recognized with 95% accuracy Items are recognized based on type... Dress pants Sweatpants Recognized with 90% accuracy Recognized with 80% accuracy Data from >8m items with high quality photographs and metadata trains the neural network to extraordinary levels
  • 7. 77 | Growth and Turnaround ● Among 5 fastest growing US clothing retailers 2016 ● Prepared to very fast growth ● Turnaround in spring 2018 with cost savings ● Turning profitable in 2019 ● New round open
  • 8. 88 | ● Real world problems require scale ○ Costs big money and requires risk taking ● Commercial investor will not fund solving the sustainability issue ● Doing good helps to put your business to some investors’ focus ● Align your business with the sustainability goal Learnings