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1 of 15
E Commerce start up experience
INFORMATION SYSTEMS PERSPECTIVE
E Commerce Buzz
 Retail: 65 million unique users per month and 24% of all
retail users reach apparel.
 Apparel is the fastest growing sub category while travel
still remains the top.
 Every 3rd shopping search on google is fashion related.
 Apparel industry will eventually be USD 40 Bn industry
by 2018.
2
Apparel Online: Boon or challenge?
 You give 10% off at physical store: people will form a
queue.
 10-15% off at online store: you will loose your
minimum traffic.
 30-40% commission to ecommerce portals: not a
sustainable price point for retailers.
 Touch and feel perception, still a problem, an area for
some innovation.
 Paid advertising is too expensive for small players and
new entrants.
3
Indian “Jugaad”
 Fashion bloggers, Facebook pages, WhatsApp,
Pinterest, Snapchat as alternative channels.
 My client in Vijayawada/Vizag sells 1 Cr INR apparel
every month, ships 40 lakh INR apparel to Canada
alone via WhatsApp orders.
 Opportunity: Payment channel innovations, organizing
and tracking orders, potential for large scale platform-
a common online space for all apparel merchants,
solution to return policy problems.
4
Technology Common sense:
Try to tweak around with what you have :
1. Non English text in facebook Ad Banners gets detected
slowly than English text (FB wont allow too much text
in Print Ad Banner). It worked for us couple of times
saving 1200 USD.
2. We know the basics right and we don’t feel good
about some one paying 60,000 INR to learn Digital
Marketing.
5
One building block:
Internet of “Your” Things: Your Things + Your Data
 Pattern recognition of
stream data.
 Resource allocation.
 Optimization problems.
 Deep Learning challenges.
6
Amazon is right there, at the
intersection of [Amazon’s Dash
buttons+ Home services+ On-demand
installation
E Commerce development platforms:
 Scalability
 Product Catalog
 Business Control
 Search
 Agility
 Reporting and Analytics
 Standards
 Integration
 Interoperability
 Synergy
7
System Development: “Liquid” form
• Sequential screening, simultaneous screening,
Collaboration screening.
• Responsive web design- Bootstrap, Magento options on
AWS
• Image optimization using graphics designed via electronic
art pads.
8
System Development: Clustrix DB
 Scalability: 400% faster than current DB systems for e
commerce and ACID compliance.
 Flex up and Flex down
 Massive transaction volume
 Real time analytics and self manageable.
 Cloud assist facility
9
E Commerce and Big Data: 10
E Commerce and Big Data:
Types of Big Data Description
Transaction Data/
Business activity Data
Amazon’s Collaborative filtering/
Walmart product movement and Retail
Link tool
Click stream data E bay UI design and lay out optimization
Video Data P&G instore shelve assortment planning
Voice Data Personalization in milliseconds- Amazon
11
Payments: 12
Room for Innovation: 13
“Gyan” at the end:
 “Communication”
 “Excel”
 “Technology- trends”
 “NOW IS THE RIGHT TIME”
 Myra’s courses are outstanding- few stories.
 You should be in a situation to connect the dots well
like Rajesh Guarav, Sudheer Nalubolu, Deepak Reddy
to march ahead like “ATHI VISISHT CORPORATE
MANAGER”.
14
15
E-mail id: krishna.kudimi@myra.ac.in
kkc@mohithtechnologies.com
91- 9676008958

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e commerce _start up

  • 1. E Commerce start up experience INFORMATION SYSTEMS PERSPECTIVE
  • 2. E Commerce Buzz  Retail: 65 million unique users per month and 24% of all retail users reach apparel.  Apparel is the fastest growing sub category while travel still remains the top.  Every 3rd shopping search on google is fashion related.  Apparel industry will eventually be USD 40 Bn industry by 2018. 2
  • 3. Apparel Online: Boon or challenge?  You give 10% off at physical store: people will form a queue.  10-15% off at online store: you will loose your minimum traffic.  30-40% commission to ecommerce portals: not a sustainable price point for retailers.  Touch and feel perception, still a problem, an area for some innovation.  Paid advertising is too expensive for small players and new entrants. 3
  • 4. Indian “Jugaad”  Fashion bloggers, Facebook pages, WhatsApp, Pinterest, Snapchat as alternative channels.  My client in Vijayawada/Vizag sells 1 Cr INR apparel every month, ships 40 lakh INR apparel to Canada alone via WhatsApp orders.  Opportunity: Payment channel innovations, organizing and tracking orders, potential for large scale platform- a common online space for all apparel merchants, solution to return policy problems. 4
  • 5. Technology Common sense: Try to tweak around with what you have : 1. Non English text in facebook Ad Banners gets detected slowly than English text (FB wont allow too much text in Print Ad Banner). It worked for us couple of times saving 1200 USD. 2. We know the basics right and we don’t feel good about some one paying 60,000 INR to learn Digital Marketing. 5
  • 6. One building block: Internet of “Your” Things: Your Things + Your Data  Pattern recognition of stream data.  Resource allocation.  Optimization problems.  Deep Learning challenges. 6 Amazon is right there, at the intersection of [Amazon’s Dash buttons+ Home services+ On-demand installation
  • 7. E Commerce development platforms:  Scalability  Product Catalog  Business Control  Search  Agility  Reporting and Analytics  Standards  Integration  Interoperability  Synergy 7
  • 8. System Development: “Liquid” form • Sequential screening, simultaneous screening, Collaboration screening. • Responsive web design- Bootstrap, Magento options on AWS • Image optimization using graphics designed via electronic art pads. 8
  • 9. System Development: Clustrix DB  Scalability: 400% faster than current DB systems for e commerce and ACID compliance.  Flex up and Flex down  Massive transaction volume  Real time analytics and self manageable.  Cloud assist facility 9
  • 10. E Commerce and Big Data: 10
  • 11. E Commerce and Big Data: Types of Big Data Description Transaction Data/ Business activity Data Amazon’s Collaborative filtering/ Walmart product movement and Retail Link tool Click stream data E bay UI design and lay out optimization Video Data P&G instore shelve assortment planning Voice Data Personalization in milliseconds- Amazon 11
  • 14. “Gyan” at the end:  “Communication”  “Excel”  “Technology- trends”  “NOW IS THE RIGHT TIME”  Myra’s courses are outstanding- few stories.  You should be in a situation to connect the dots well like Rajesh Guarav, Sudheer Nalubolu, Deepak Reddy to march ahead like “ATHI VISISHT CORPORATE MANAGER”. 14