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MEGA DATA
MERCHANDISING
AND PRICING ANALYTICS
PLATFORM
DATA ANALYTICS PROCESS
We map competitors
real-time
Present real-time
competitive benchmarking
800+
Websites
29 Languages
Rapidly match and
process the information
95% Accuracy
SaaS
DaaS
Intelligence Node | 2
AGENDA
Discovering and mapping exact and similar products
Leveraging patent-ready technology
Monitoring pricing and visibility trends
Intelligence Node | 3
PRODUCT IN CONSIDERATION:
ADIDAS GAZELLE OG
Description: Originally released in 1968 as an all-round trainer, the Gazelle soon became an international sneaker icon. Today these
men's Adidas Originals Gazelle 2 shoes continue the legacy, with a classic all-suede upper.
Details :
Color: Blue White
Cover sole: Textile
Internal material: Imitation leather
Heel type: Flat
Padding type: Cold padding
Shoe fastener: Laces
Shoe toecap: Round
Sole: Abrasion-proof rubber
Shipping Weight: 10.6 Ounces
Item model number: G16183
Date first available at Amazon.com: November 26, 2011
Amazon Best Sellers Rank: #224,657 in Shoes
#9316 in Shoes > Men's > Fashion Sneakers
Average Customer Review:
Size : 10 Selling Price : $110
Intelligence Node | 4
INTELLIGENCE NODE PRODUCT JOURNEY
VISIBILITY PRICE DISCOUNT ATTRIBUTES
Intelligence Node | 5
DISCOVER AND MAP EXACT
AND SIMILAR PRODUCTS
EXACT MATCH ACROSS RETAILERS,
CATEGORIES & CATALOG LANGUAGES
.co.za
Intelligence Node | 7
PRODUCT COVERAGE ACROSS THE GLOBE
Intelligence Node | 8
SIMILAR MATCHES
Intelligence Node | 9
USING PATENT-READY TECHNOLOGY
WE CRAWL PORTALS RANGING FROM THE BIGGEST
E-COMMERCE SITES LIKE AMAZON TO INDIVIDUAL
BRAND OWNED SITES LIKE ADIDAS.CO.ZA
Case Study: Ever Changing and Evolving
February 2016
Intelligence Node deploys new crawling framework
by implementing Machine Learning and in-house
developed smart algorithms that predicts website
blocking patterns
June 2016
Amazon changed/improved its
anti-scraping technology impacting crawler
networks worldwide while Intelligence Node
remains unimpacted
July 2016
Intelligence Node receives requests from
competitive companies to assist with Amazon
Intelligence Node | 11
OUR TECHNOLOGY IS ACCESSIBLE
TO THE WHOLE E-COMMERCE WORLD
Multilingual platform currently supports 29 languages from
varied geographies, which together cover 95% of the world
gross domestic product (GDP).
Using our crawling technology, we are able to listen
to data, not only on the web, but also on mobile
platforms.
Intelligence Node | 12
MONITORING PRICING AND
VISIBILITY TRENDS
PRICES IN LOCAL CURRENCIES
Intelligence Node | 14
SINGLE CURRENCY VIEW AS WELL (USD)
$11
0
$100
$90
$80
$70
$60
$50
$40
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Macys (USA) Next (UK) Zalando (Germany) Myntra (India) Zalora(Singapore)
What is the best
price/strategy
Liquidation:
USD 46
Maximum
margin/sales
price USD 79
Intelligence Node | 15
MACY’S (US) STRATEGY - ADIDAS GAZELLE OG
Price is consistent at $80
Aggressively changing
product’s visibility resulted in
the product going out of
stock
Visibility
100
80
60
40
20
Discount
Out of Stock
Price
$30
$20
$10
$0
20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016
$90
$80
$70
$60
$50
$40
0
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Intelligence Node | 16
NEXT’S (UK) STRATEGY - ADIDAS GAZELLE OG
Price
Visibility
Aggressive pricing strategy by
ofering up to 50% discount
Two strategies tried
• Constant price and dynamic visibility
• Constant price and constant visibility
Sudden drops of pricing typically
works, however it is very easy to
leave money on the table, as you
are guessing the right price
100
80
60
40
20
Out of
Stock
Discount
20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016
80
70
0
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Intelligence Node | 17
60
50
40
30
20
10
0
ZALANDO’S (DE) STRATEGY - ADIDAS GAZELLE OG
Steady but significant decline in
price, with only aggressive
visibility play at the end
Visibility
100
80
60
40
20
Discount
Discount
90
80
70
60
50
40
30
20
10
0
20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016
Price
0
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Intelligence Node | 18
Price has been slashed shortly
after introduction due to sizes
running out of stock. This is
reflected in the reduced visibility
as well.
Product has been
first introduced to
the market in July
MYNTRA’S (IN) STRATEGY - ADIDAS GAZELLE OG
Discount
Visibility
Price
100
90
80
70
60
50
40
30
20
10
20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016
7000
6000
5000
4000
3000
2000
1000
0
0
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Intelligence Node | 19
ZALORA’S (SG) STRATEGY - ADIDAS GAZELLE OG
Steady but slow decrease in
pricing with sporadic
fluctuations in visibility
Visibility
100
90
80
140
120
Discount
160
140
120
100
80
60
40
20
0
20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016
Price
...................................................................................................................................................................
.
70
60
50
40
30
20
10
0
01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016
Intelligence Node | 24
What Next?
PRICING BASED ON
COMPETITOR MOVEMENTS
Set Custom Pricing Rules Generate Smart Prices
Intelligence Node | 22
PERFORM STORE LEVEL ANALYTICS
Identify products at a group or store level that are candidates for price change or have cross-
sell/upsell potential with other related products
Price Elasticity
• Identify the best price (by SKU) to maximize
revenue, and quantify the impact of mispriced
products
Catalog & Inventory
• Forecast demands by SKU and calculate the
optimum quantity of inventory (demand based)
that should have been in place
• Identify gaps during the period and quantify lost
sales
Product Bundling
• Identify bundling opportunities
and efciencies
• Measure the impact of implementing
smart bundling strategies and quantify lost
revenue
Basket Dynamics
• Identify the products which are going into the
consumers basket to define strategies and
estimate basket-level discount provided you add
a certain product to the basket
Intelligence Node | 23
Over 150 Customers Including…
Intelligence Node | 24
THANK YOU
OUR OFFICES:
London, UK - 145-147, St John Street, London
EC1V 4PY New York, USA - 149 W 27th St. New
York, NY 10001
Mumbai, India - 101, Notan Heights, Turner
Road, Bandra West, Mumbai - 400050
FOLLOW US ON:
f : facebook.com/intelligencenode
t : twitter.com/@bigdataNODE
in:
linkedin.com/company/intelligencenod
e
CONTACT US:
Intelligencenode.com
contact@intelligencenode.
com

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Adidas Gazelle Shoe - Product Journey

  • 2. DATA ANALYTICS PROCESS We map competitors real-time Present real-time competitive benchmarking 800+ Websites 29 Languages Rapidly match and process the information 95% Accuracy SaaS DaaS Intelligence Node | 2
  • 3. AGENDA Discovering and mapping exact and similar products Leveraging patent-ready technology Monitoring pricing and visibility trends Intelligence Node | 3
  • 4. PRODUCT IN CONSIDERATION: ADIDAS GAZELLE OG Description: Originally released in 1968 as an all-round trainer, the Gazelle soon became an international sneaker icon. Today these men's Adidas Originals Gazelle 2 shoes continue the legacy, with a classic all-suede upper. Details : Color: Blue White Cover sole: Textile Internal material: Imitation leather Heel type: Flat Padding type: Cold padding Shoe fastener: Laces Shoe toecap: Round Sole: Abrasion-proof rubber Shipping Weight: 10.6 Ounces Item model number: G16183 Date first available at Amazon.com: November 26, 2011 Amazon Best Sellers Rank: #224,657 in Shoes #9316 in Shoes > Men's > Fashion Sneakers Average Customer Review: Size : 10 Selling Price : $110 Intelligence Node | 4
  • 5. INTELLIGENCE NODE PRODUCT JOURNEY VISIBILITY PRICE DISCOUNT ATTRIBUTES Intelligence Node | 5
  • 6. DISCOVER AND MAP EXACT AND SIMILAR PRODUCTS
  • 7. EXACT MATCH ACROSS RETAILERS, CATEGORIES & CATALOG LANGUAGES .co.za Intelligence Node | 7
  • 8. PRODUCT COVERAGE ACROSS THE GLOBE Intelligence Node | 8
  • 11. WE CRAWL PORTALS RANGING FROM THE BIGGEST E-COMMERCE SITES LIKE AMAZON TO INDIVIDUAL BRAND OWNED SITES LIKE ADIDAS.CO.ZA Case Study: Ever Changing and Evolving February 2016 Intelligence Node deploys new crawling framework by implementing Machine Learning and in-house developed smart algorithms that predicts website blocking patterns June 2016 Amazon changed/improved its anti-scraping technology impacting crawler networks worldwide while Intelligence Node remains unimpacted July 2016 Intelligence Node receives requests from competitive companies to assist with Amazon Intelligence Node | 11
  • 12. OUR TECHNOLOGY IS ACCESSIBLE TO THE WHOLE E-COMMERCE WORLD Multilingual platform currently supports 29 languages from varied geographies, which together cover 95% of the world gross domestic product (GDP). Using our crawling technology, we are able to listen to data, not only on the web, but also on mobile platforms. Intelligence Node | 12
  • 14. PRICES IN LOCAL CURRENCIES Intelligence Node | 14
  • 15. SINGLE CURRENCY VIEW AS WELL (USD) $11 0 $100 $90 $80 $70 $60 $50 $40 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Macys (USA) Next (UK) Zalando (Germany) Myntra (India) Zalora(Singapore) What is the best price/strategy Liquidation: USD 46 Maximum margin/sales price USD 79 Intelligence Node | 15
  • 16. MACY’S (US) STRATEGY - ADIDAS GAZELLE OG Price is consistent at $80 Aggressively changing product’s visibility resulted in the product going out of stock Visibility 100 80 60 40 20 Discount Out of Stock Price $30 $20 $10 $0 20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016 $90 $80 $70 $60 $50 $40 0 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Intelligence Node | 16
  • 17. NEXT’S (UK) STRATEGY - ADIDAS GAZELLE OG Price Visibility Aggressive pricing strategy by ofering up to 50% discount Two strategies tried • Constant price and dynamic visibility • Constant price and constant visibility Sudden drops of pricing typically works, however it is very easy to leave money on the table, as you are guessing the right price 100 80 60 40 20 Out of Stock Discount 20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016 80 70 0 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Intelligence Node | 17 60 50 40 30 20 10 0
  • 18. ZALANDO’S (DE) STRATEGY - ADIDAS GAZELLE OG Steady but significant decline in price, with only aggressive visibility play at the end Visibility 100 80 60 40 20 Discount Discount 90 80 70 60 50 40 30 20 10 0 20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016 Price 0 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Intelligence Node | 18
  • 19. Price has been slashed shortly after introduction due to sizes running out of stock. This is reflected in the reduced visibility as well. Product has been first introduced to the market in July MYNTRA’S (IN) STRATEGY - ADIDAS GAZELLE OG Discount Visibility Price 100 90 80 70 60 50 40 30 20 10 20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016 7000 6000 5000 4000 3000 2000 1000 0 0 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Intelligence Node | 19
  • 20. ZALORA’S (SG) STRATEGY - ADIDAS GAZELLE OG Steady but slow decrease in pricing with sporadic fluctuations in visibility Visibility 100 90 80 140 120 Discount 160 140 120 100 80 60 40 20 0 20-Aug-2016 09-Sep-201631-Jul-201611-Jul-201621-Jun-201601-Jun-2016 Price ................................................................................................................................................................... . 70 60 50 40 30 20 10 0 01-Jun-2016 21-Jun-2016 11-Jul-2016 31-Jul-2016 20-Aug-2016 09-Sep-2016 Intelligence Node | 24
  • 22. PRICING BASED ON COMPETITOR MOVEMENTS Set Custom Pricing Rules Generate Smart Prices Intelligence Node | 22
  • 23. PERFORM STORE LEVEL ANALYTICS Identify products at a group or store level that are candidates for price change or have cross- sell/upsell potential with other related products Price Elasticity • Identify the best price (by SKU) to maximize revenue, and quantify the impact of mispriced products Catalog & Inventory • Forecast demands by SKU and calculate the optimum quantity of inventory (demand based) that should have been in place • Identify gaps during the period and quantify lost sales Product Bundling • Identify bundling opportunities and efciencies • Measure the impact of implementing smart bundling strategies and quantify lost revenue Basket Dynamics • Identify the products which are going into the consumers basket to define strategies and estimate basket-level discount provided you add a certain product to the basket Intelligence Node | 23
  • 24. Over 150 Customers Including… Intelligence Node | 24
  • 25. THANK YOU OUR OFFICES: London, UK - 145-147, St John Street, London EC1V 4PY New York, USA - 149 W 27th St. New York, NY 10001 Mumbai, India - 101, Notan Heights, Turner Road, Bandra West, Mumbai - 400050 FOLLOW US ON: f : facebook.com/intelligencenode t : twitter.com/@bigdataNODE in: linkedin.com/company/intelligencenod e CONTACT US: Intelligencenode.com contact@intelligencenode. com