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The Disruptive Marketplace for Fashion Retailers
Milan, Nov 18
447b$
Global Fashion E-commerce
Market in 2017
92b$
The European fashion market
in 2017
+8.75%
European CAGR by 2022
7,000
Fashion Store closures in
2017
13%
Of total Retail is online
44%
Of which goes to amazon
Economic Landscape
STATISTA –eCommerce Report 2018
We’re talking about a multi-billion dollar market.
Fashion was the biggest e-commerce segment in 2017 and
the growth rate continues to be through the roof.
E-commerceEurope
Source: European Ecommerce Repot 2018
€602 Billion
(+14%)
MARKET
68%
Internet users made online
purchases
270$
ARPU in e-commerce clothing
301$
Growing by 2022
Clothing, the top Sales Category
2,544,014
Items bought (Appareal+Accessories+Shoes)
Social Context
STATISTA –eCommerce Report 2018
As a result of these online trends the worldwide revenue
per user in clothing e-commerce projections are in constant
growth.
ADVANCED
ANALYTICS
MACHINE LEARNING
ALGORITHM
CUSTOMER
EXPERIENCE
Technology Context
The new emerging technologies will shape the efficiency of e-
commerce in different ways.
ADVANCED ANALYTICS
CUSTOMER BEHAVIOR ANALYTICS FOR RETAILERS
Data-driven customer insights: what motivates them to buy
more, how do they behave, and how and when is it best reach
them?
INCREASING CONVERSION RATES:
Retail companies need to target customer promotions
effectively. This requires having a 360-degree view of customers
and prospects that’s as accurate as possible.
CUSTOMER JOUNEY ANALYTICS
Customers expect more, they expect consistent information and
seamless experiences across channels that reflect their history,
preferences and interests. The customer experience drives sales
and customer retention.
Retailer expects to sell the product at
full price selling €250 (markup 2.5x
despite of price cost)
After six months Retailer expect to sell it
at discount price selling €125 (50%)
Retailer don’t sell the product even with an
additional markdown price. It become dead
stock.
The product value is around the cost price
€100. The more time passes, more the
price will go down.
The time to market of the product is over.
The product is obsolete.
No chance for Retailers.
Best case scenario:
• The wholesaler can make an offer of
10/15% of the cost price to buy the
product.
• No one buy it.
We don’t treat the eCommerce as “just a big store” for buying purposes, but understanding the
interplay between product lifecycle and channel.
MACHINE LEARNING
We don’t treat the eCommerce site as “just a big store” for buying purposes, but understanding
the interplay between product lifecycle and channel.
Retailer expects to sell the product at
full price selling €250 (markup 2.5x
despite of price cost)
After six months Retailer expect to sell it
at discount price selling €125 (50%)
Retailer don’t sell the product even with an
additional markdown price. It become dead
stock.
The product value is around the cost price
€100. The more time passes, more the
price will go down.
The time to market of the product is over.
The product is obsolete.
No chance for Retailers.
Best case scenario:
• The wholesaler can make an offer of
10/15% of the cost price to buy the
product.
• No one buy it.
MACHINE LEARNING
Maintain some level of MARKDOWN INVENTORY to
appeal the shopper and to generate a certain level of
revenue.
No more dead stock to worry about.
Retail’s Dirty Little Reality
So after years watching the market from the top, working with these very established brands, I
decided to focus my gathered know-how on the weaker side of the industry.
The PROBLEM we wanted to solve came from my personal experience where I witnessed the
downfall of fashion-related family business; from moments of great fortune to declining
customers and sales to the piling up of overstock.
Retail’s Dirty Little Reality
The SOLUTIONwe came up with is Nustox, making it
a digital showcase for all fashion boutiques, giving
the opportunity directly to retailers to sell online
without worrying about digital expertise and online
positioning, but only about generating profits; all this
while preserving the important customer journey and
shopping experience.
Listening to our retailers we understood that the only
way to manage the overstock problem was by
considering the entire lifecycle of the product,
maintaining some level of markdown on the
inventory, predicting and preventing the deadstock
problem and still appealing the shopper and
generating profits.
MVP
The Genesis
Nustox 2.0
The Nustox evolution
Digital Disruption in the Reatail Industry
This can be done by collecting A LOT of data, and this is why we evolved Nustox into an all-
in-one solution.
With a MACHINE LEARNING ALGORITHM we’re able to suggest the right price at the right
time, to the right people.
With BIG DATA and ANALYTICS tools we’re able to know our customers and share these
insights with our vendors and make customised offers.
This whole solution is extremely fluid for the vendor, and in a matter
of 2 or 3 days, they’re already online!
Digital Disraption in the Reatail Industry
Transforming COSTs into PROFIT Provides DIGITAL SHOWCASE
for vendors
Optimizes DELIVERY
process
ANALYSIS of RECOMMENDATIONS
for prices and audiences
Maintain some level of
MARKDOWN INVENTORY
DIGITAL DISRUPTION IN THE RETAIL INDUSTRY
Digitally transformed Retail, it’s another thing entirely!
Stemming from the intertwinement of Fashion and Technology, NuStox is a completely Italian
marketplace, a digital show case with a unique imprinting for what concerns clothes and
accessories.
RETAILERS can capture value
in their inventory,
gather insights to strengthen
their digital presence.
CUSTOMERS can find latest
trends’ items off price, a
swift delivery, and up-to-date style
options.
COMPETITIVE ARENA
Farfetch
Giglio.com
MyTheresa
Amazon Marketplace
Privalia
We know our competitors, we’re well aware of them.
There’s a time for everyone, but now it’s our time!
B2B DIGITAL ALPHABETIZATION OPPORTUNITY
Total SMEs in Italy
Opportunity: 3,733,416 SMEs in Italy
Total Fashion SMEs estimated from total: 250,000 SMEs
Nustox Opportunity
Estimated mix of vendors: 37,000–112,000 SMEs
They have no/small warehouse. And never/ rarely sell online
There are enormous business opportunities available
as most retailers still have to take their first steps
online and sometimes find it very difficult.
Competitive Arena
eCommerceMarketplace
Product lifestyle
Luxury
Basic
STAGE to NUSTOX CUSTOMERS JOURNEY
DIGITAL ADV FREEE SHIPPINGEXTRA DISCOUNT
1st STAGE 2nd STAGE 3rd STAGE
Mix Strategy between
Trading (80%) and
Brand (20%)
Right mix between
ARPU and Buy Rate
Markdown price on
the first purchase
Free shipping and
Return
Tailored Shopping Customer Experience Style inspirations
We also give a great value to our customers because we know them, it’s our
business.
We engage with them creating original content and suitable shopping
solutions.
Our goal is not only to sell, but to be the benchmark in fashion and lifestyle
for all our customers.
15%
transaction fee B2B
Custom Projects
Digital Optimization
Boutique (Fixed Price)
B2C
Revenue Streams
Strategic
Partnership
Co-Marketing
PARTNER
Fashion Technology Accelerator, the International hub that fosters digital and technology innovation in
Fashion, Luxury and Retail industry.
An international network with offices in Silicon Valley and Seoul.

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Nustox Info Memo - Fashion Italia

  • 1. The Disruptive Marketplace for Fashion Retailers Milan, Nov 18
  • 2. 447b$ Global Fashion E-commerce Market in 2017 92b$ The European fashion market in 2017 +8.75% European CAGR by 2022 7,000 Fashion Store closures in 2017 13% Of total Retail is online 44% Of which goes to amazon Economic Landscape STATISTA –eCommerce Report 2018 We’re talking about a multi-billion dollar market. Fashion was the biggest e-commerce segment in 2017 and the growth rate continues to be through the roof.
  • 3. E-commerceEurope Source: European Ecommerce Repot 2018 €602 Billion (+14%) MARKET
  • 4. 68% Internet users made online purchases 270$ ARPU in e-commerce clothing 301$ Growing by 2022 Clothing, the top Sales Category 2,544,014 Items bought (Appareal+Accessories+Shoes) Social Context STATISTA –eCommerce Report 2018 As a result of these online trends the worldwide revenue per user in clothing e-commerce projections are in constant growth.
  • 5. ADVANCED ANALYTICS MACHINE LEARNING ALGORITHM CUSTOMER EXPERIENCE Technology Context The new emerging technologies will shape the efficiency of e- commerce in different ways.
  • 6. ADVANCED ANALYTICS CUSTOMER BEHAVIOR ANALYTICS FOR RETAILERS Data-driven customer insights: what motivates them to buy more, how do they behave, and how and when is it best reach them? INCREASING CONVERSION RATES: Retail companies need to target customer promotions effectively. This requires having a 360-degree view of customers and prospects that’s as accurate as possible. CUSTOMER JOUNEY ANALYTICS Customers expect more, they expect consistent information and seamless experiences across channels that reflect their history, preferences and interests. The customer experience drives sales and customer retention.
  • 7. Retailer expects to sell the product at full price selling €250 (markup 2.5x despite of price cost) After six months Retailer expect to sell it at discount price selling €125 (50%) Retailer don’t sell the product even with an additional markdown price. It become dead stock. The product value is around the cost price €100. The more time passes, more the price will go down. The time to market of the product is over. The product is obsolete. No chance for Retailers. Best case scenario: • The wholesaler can make an offer of 10/15% of the cost price to buy the product. • No one buy it. We don’t treat the eCommerce as “just a big store” for buying purposes, but understanding the interplay between product lifecycle and channel. MACHINE LEARNING
  • 8. We don’t treat the eCommerce site as “just a big store” for buying purposes, but understanding the interplay between product lifecycle and channel. Retailer expects to sell the product at full price selling €250 (markup 2.5x despite of price cost) After six months Retailer expect to sell it at discount price selling €125 (50%) Retailer don’t sell the product even with an additional markdown price. It become dead stock. The product value is around the cost price €100. The more time passes, more the price will go down. The time to market of the product is over. The product is obsolete. No chance for Retailers. Best case scenario: • The wholesaler can make an offer of 10/15% of the cost price to buy the product. • No one buy it. MACHINE LEARNING Maintain some level of MARKDOWN INVENTORY to appeal the shopper and to generate a certain level of revenue. No more dead stock to worry about.
  • 9. Retail’s Dirty Little Reality So after years watching the market from the top, working with these very established brands, I decided to focus my gathered know-how on the weaker side of the industry. The PROBLEM we wanted to solve came from my personal experience where I witnessed the downfall of fashion-related family business; from moments of great fortune to declining customers and sales to the piling up of overstock.
  • 10. Retail’s Dirty Little Reality The SOLUTIONwe came up with is Nustox, making it a digital showcase for all fashion boutiques, giving the opportunity directly to retailers to sell online without worrying about digital expertise and online positioning, but only about generating profits; all this while preserving the important customer journey and shopping experience. Listening to our retailers we understood that the only way to manage the overstock problem was by considering the entire lifecycle of the product, maintaining some level of markdown on the inventory, predicting and preventing the deadstock problem and still appealing the shopper and generating profits.
  • 13. Digital Disruption in the Reatail Industry This can be done by collecting A LOT of data, and this is why we evolved Nustox into an all- in-one solution. With a MACHINE LEARNING ALGORITHM we’re able to suggest the right price at the right time, to the right people. With BIG DATA and ANALYTICS tools we’re able to know our customers and share these insights with our vendors and make customised offers. This whole solution is extremely fluid for the vendor, and in a matter of 2 or 3 days, they’re already online!
  • 14. Digital Disraption in the Reatail Industry Transforming COSTs into PROFIT Provides DIGITAL SHOWCASE for vendors Optimizes DELIVERY process ANALYSIS of RECOMMENDATIONS for prices and audiences Maintain some level of MARKDOWN INVENTORY
  • 15. DIGITAL DISRUPTION IN THE RETAIL INDUSTRY Digitally transformed Retail, it’s another thing entirely! Stemming from the intertwinement of Fashion and Technology, NuStox is a completely Italian marketplace, a digital show case with a unique imprinting for what concerns clothes and accessories. RETAILERS can capture value in their inventory, gather insights to strengthen their digital presence. CUSTOMERS can find latest trends’ items off price, a swift delivery, and up-to-date style options.
  • 16. COMPETITIVE ARENA Farfetch Giglio.com MyTheresa Amazon Marketplace Privalia We know our competitors, we’re well aware of them. There’s a time for everyone, but now it’s our time!
  • 17. B2B DIGITAL ALPHABETIZATION OPPORTUNITY Total SMEs in Italy Opportunity: 3,733,416 SMEs in Italy Total Fashion SMEs estimated from total: 250,000 SMEs Nustox Opportunity Estimated mix of vendors: 37,000–112,000 SMEs They have no/small warehouse. And never/ rarely sell online There are enormous business opportunities available as most retailers still have to take their first steps online and sometimes find it very difficult.
  • 19. STAGE to NUSTOX CUSTOMERS JOURNEY DIGITAL ADV FREEE SHIPPINGEXTRA DISCOUNT 1st STAGE 2nd STAGE 3rd STAGE Mix Strategy between Trading (80%) and Brand (20%) Right mix between ARPU and Buy Rate Markdown price on the first purchase Free shipping and Return
  • 20. Tailored Shopping Customer Experience Style inspirations We also give a great value to our customers because we know them, it’s our business. We engage with them creating original content and suitable shopping solutions. Our goal is not only to sell, but to be the benchmark in fashion and lifestyle for all our customers.
  • 21. 15% transaction fee B2B Custom Projects Digital Optimization Boutique (Fixed Price) B2C Revenue Streams Strategic Partnership Co-Marketing
  • 22. PARTNER Fashion Technology Accelerator, the International hub that fosters digital and technology innovation in Fashion, Luxury and Retail industry. An international network with offices in Silicon Valley and Seoul.