This document summarizes the backgrounds and proposed presentation by Manju Devadas and Salil Amonkar of Pluto7. Manju has over 25 years of experience in business process transformation, IT strategy, and management consulting. Salil has over 20 years of supply chain and technology experience. Their proposed presentation will provide an introduction to machine learning and supply chain use cases, including forecasting, predictive analytics, and price optimization. It will also demonstrate visualizing insights from machine learning models in Tableau.

2. Manju Devadas
• 25+ years End to End Value Chain experience
• 15+ years Enterprise IT experience
• 10+ years Management Consulting experience
• Business Process Transformation
• Mobile, Cloud and On Premise Expertise
• IT Strategy (On Premise, Cloud)Sales & Marketing, CRM, Quote
to Cash, Supply Chain expertise
Salil Amonkar
• 20+ years experience
• Supply Chain and Hi tech Domain Expert
• MS, MBA and BE in Info Technology
• Cloud Computing – GCP, AWS, IOT
• Cloud, Mobile, IoT Devices deep technical expertise
• Cisco, Netgear, Google, SFDC and Oracle experience and partnerships

3. Presenter
Context Setting Manju Devadas 5 min
Manju Devadas &
Salil Amonkar
Pluto7 Team

4. Presenter
Context Setting Manju Devadas 5 min
Introduction to ML & Supply Chain Use Cases Manju Devadas &
Salil Amonkar
Pluto7 Team

5. For example, a "Narcos" viewer was, after binging on tales of a Colombian drug
lord, apt to stream "Pulp Fiction."
After indulging in the chills and thrills of series like "Stranger Things" and "American
Horror Story," folks turned to sunnier fare like "Zootopia" and "Mean Girls."
All of the above are recommendations that tell us what to
sell to these customers based on their behavior(s)

8. converting raw data to useful information for the business )

9. forecasting

10. Forecast accuracy is measured as difference between the forecasted numbers when compared to actuals.

11. Data access to a variety
of data sources.
Develop and build
analytic models.
Data preparation,
exploration and visualization.
Deploy models and integrate
them into business processes
and applications.
High performance and scalability
for both development
and deployment.
Perform platform, project
and model management.

12. Data Algorithm Insight

13. Data
Preparation
and Cleansing
Machine Learning
Built for Forecasting
Forecasting Continuously
+
Recommendations
=
Real Time
Demand Management
Cloud
On
Premises
Machine
Learning
APIs
Train
Your Own
Models

14. HTTP request
Pre-ProcessingData Storage
Training flow
Prediction flow
Local
training
Download
Mobile
prediction
Batch
Online
Training
Prediction
Tooling
Datalab
Datalab
Tooling
Upload
Hosted Model

15. Presenter
Context Setting Manju Devadas 5 min
Introduction to ML and Supply Chain Use Cases
Other Use Cases
Manju Devadas &
Salil Amonkar
Pluto7 Team

16. • Context embedding with forecasting and predictive analytics
• Right price to charge at the right time to get the most margin and closed sale
• Match location with user preference based on time window and third party data

19. Presenter
Context Setting Manju Devadas 5 min
Introduction to ML
Use Cases
Visualizing insights in Tableau
Manju Devadas &
Salil Amonkar
Pluto7 Team

24. LinkedIn - Search for Moderator Manju Devadas, Salil Amonkar
Email - manju@pluto7.com, salil@pluto7.com
Phone: 510-676-5064 / 408 824 9213
If you would like to present in the next round, please email the moderators above
References : http://online.tableau.com, http://pluto7.com , www.planninginabox.com