Machine Learning Application to Manufacturing using Tableau, Tableau and Google by Pluto7

1. Driving Forecast Accuracy With Machine Learning

2. Presenter
Context Setting Scott Trauthen 5 min
Manju
Devadas
Pluto7 Team

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Confidential
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Good Forecasting Good data
• Profitability depends on right product and quantity, right place, right time
• Forecasting evolves with Analytics with Machine Learning taking the prime spot
• Derive forecasting and demand insight from all types of data
• Customer
• Inventory
• Sales
• Marketing
• Seasonality
• Social Media Posts
• Customer Support Cases
• Preparing and blending data is a critical, but often time-consuming step
3

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Share
Enrich
Output All Popular
Formats
Prep & Blend Analyze
Input All Relevant Data
5

6. © 2016 Alteryx, Inc. |
Confidential
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Retail
Energy & Utilities
Telecom/Cable
Financial Services
Professional Services
Technology
Media
Travel & Hospitality
Consumer Products
Manufacturing
Restaurants
Healthcare
6

7. Presenter
Context Setting Scott Trauthen 5 min
Machine Learning For Forecasting
Forecasting Use Case
Solution – Alteryx, Google Machine Learning, Tableau
SaaS Solution – Planning in a Box Manju Devadas
45 min
Pluto7 Team

9. Machine Learning

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.

13. Data Model Algorithm Insight
More of Patterns
Less of Rules

14. • Upsell/Cross Sell
Expedites
• Context embedding within forecasting and predictive analytics driving accuracy
• 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

15. 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

16. Analyze internal and external data to improve Product Recommendations & Forecasts.
Pain
• Before Predictive Commerce they had significant operational issues due to low
forecast accuracy as well as unexpected product requests from customers.
Solution
• They went through crawl walk run approach of using machine learning for improving
• E-commerce product recommendations
• Followed this up by using machine learning to improve forecast accuracy
Results
✓ 8% ROI improvement over 1 year
✓ Net Revenue uplift improved by 35% in 1 year
✓ Lost sales reduced by 30% in 1 year
✓ Forecast accuracy improved to 92% in 1 year

18. Step 1
Data Cleansing
For
Machine Learning
Step 2
Machine
Learning
Modeling
Applying Data
Sciences &
Step 3
Model Output
Data
for
Analysis
Forecasting SaaS

20. 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

23. Speaker LinkedIn - Search for Manju Devadas
Email - manju@pluto7.com
Phone: 510-676-5064 / 408 824 9213
Explore Machine Learning Yourself
Machine Learning with Planning in a Box and Google www.planninginabox.com
Data Cleansing with Alteryx Designer http://www.alteryx.com/products/alteryx-designer

24. To Reach out to the Speaker
Email - manju@pluto7.com
LinkedIn – Search for Manju Devadas