Get Insights from the Cloud – without having to burn a hole in your pocket! by Aparajeeta Das

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This document provides an overview of a presentation about using cloud technologies and machine learning to help address challenges facing an online retail business. It outlines the business use case of declining sales and focuses on improving customer acquisition, activation, and engagement as well as optimizing targeted ads, demand, and supply. The presentation describes the dataset used, AWS cloud architecture, machine learning model for demand forecasting, and security in the cloud. It concludes by discussing the benefits of a pay-per-use cloud solution for production support and insights.

Technology

Hello!I am Jayden Smith
I am here because I love to give presentations.
You can find me at @username
Get Insights from the Cloud
A Retail Use Case

Agenda
● Business Use Case
● Data Set Used
● Technology Used
● Architecture - System
Disclaimer
● The story in the demo is a fiction for demo purpose
● The technologies used won’t work in all cases
● Third Eye and ClouDhiti are NOT a re-seller of any of the products used for the
demo case.
● Third Eye and ClouDhiti are NOT a reseller of the cloud services these
companies.
● Third Eye and ClouDhiti do NOT financially benefit from the vendors chosen
the following recommendations.
● AWS is a direct client of Third Eye
● AWS platform is chosen for demo purpose only.
● We are also not recommending AWS cloud for all cases.
● Machine Learning
● Visualization and Mobile App
● Security
● Q & A
(C) Copyright 2017. All Rights Reserved. ClouDhiti Inc.

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Shopping Fun Online Faces Challenges
Problem : Sales are declining
A. Challenge in AAA
(Acquire, Activate and Activity)
Potential Customer from Social Media Sites
B. Location, Age and Gender Based Ads
C. Demand and Supply Optimization

Shopping Fun Online
Problem Focus Areas
Targeted
Ads
AAA
Demand
Supply
Optimization
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DataSet Used
• Twitter Feed
• Product Information
• Product Images
• Sale Information
• Customer Information
• Customer Demographic
• Psychographic Data
• SessionLog Data

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(C) Copyright 2017. All Rights Reserved. ClouDhiti Inc.

Let’s do some Forecast
Predicting Demand
● Use Historical Sale Data Set
● 70% for Model Development
● 30% for testing the Model Performance
Model Summary Performance of the Model
(Model Accuracy : .953478928492952468
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Color
Date
Location
Designer
Material

What Do You Think?
From Business Perspective
● You have limit on your budget
● You have limit on the timeline of delivery
● What happens after you are done using the system?
● You need IT Team to support this
Solution
● Pay per Use Solution
● No Capex
● Lower Opex
● Customize Only
● Production Support
● Focus in Insights - ClouDhiti Inc.

(C) Copyright 2017. All Rights Reserved. ClouDhiti Inc.

Thanks!
Any question?
Aparajeeta Das
You can find me at:
jeetadas@thirdeyecss.com
https://thirdeyedata.io/
http://cloudhiti.com/demo

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Get Insights from the Cloud – without having to burn a hole in your pocket! by Aparajeeta Das

1. Hello!I am Jayden Smith I am here because I love to give presentations. You can find me at @username Get Insights from the Cloud A Retail Use Case

3. Agenda ● Business Use Case ● Data Set Used ● Technology Used ● Architecture - System Disclaimer ● The story in the demo is a fiction for demo purpose ● The technologies used won’t work in all cases ● Third Eye and ClouDhiti are NOT a re-seller of any of the products used for the demo case. ● Third Eye and ClouDhiti are NOT a reseller of the cloud services these companies. ● Third Eye and ClouDhiti do NOT financially benefit from the vendors chosen the following recommendations. ● AWS is a direct client of Third Eye ● AWS platform is chosen for demo purpose only. ● We are also not recommending AWS cloud for all cases. ● Machine Learning ● Visualization and Mobile App ● Security ● Q & A (C) Copyright 2017. All Rights Reserved. ClouDhiti Inc.

5. F A C I N G C h a l l e n g e s Shopping Fun Online Faces Challenges Problem : Sales are declining A. Challenge in AAA (Acquire, Activate and Activity) Potential Customer from Social Media Sites B. Location, Age and Gender Based Ads C. Demand and Supply Optimization

6. Shopping Fun Online Problem Focus Areas Targeted Ads AAA Demand Supply Optimization B u s i n e s s G o a l

7. W i s h e s

9. M o b i L e

10. Similar Products

11. DataSet Used • Twitter Feed • Product Information • Product Images • Sale Information • Customer Information • Customer Demographic • Psychographic Data • SessionLog Data

12. Technology Used T e c h n o l o g y

13. The System ArchitectureIn AWS Cloud

15. Let’s do some Forecast Predicting Demand ● Use Historical Sale Data Set ● 70% for Model Development ● 30% for testing the Model Performance Model Summary Performance of the Model (Model Accuracy : .953478928492952468 R e g r e s s i o n Color Date Location Designer Material

16. Security in the Cloud

17. What Do You Think? From Business Perspective ● You have limit on your budget ● You have limit on the timeline of delivery ● What happens after you are done using the system? ● You need IT Team to support this Solution ● Pay per Use Solution ● No Capex ● Lower Opex ● Customize Only ● Production Support ● Focus in Insights - ClouDhiti Inc.

19. Thanks! Any question? Aparajeeta Das You can find me at: jeetadas@thirdeyecss.com https://thirdeyedata.io/ http://cloudhiti.com/demo

Get Insights from the Cloud – without having to burn a hole in your pocket! by Aparajeeta Das

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