1. Machine Learning’s Growing Impact on E-Commerce
O’Baida Adi John Cen Rami Taleb

2. Background Information
What is Machine Learning?
Iterative algorithm that grows more knowledgeable with more data.
Bigger Data → Better Results

3. History of Machine Learning on E-Commerce
Machine Learning is a relatively new concept in computer science.
Simplest example of it is to search for a product. Any advertisements that appear after completing the search should be related to the product.

4. Significance of Machine Learning in E-Commerce
Machine Learning is a powerful tool that can be used in many different aspects of business.
Marketing
Financing
Inventory
Sales
Etc.
Generally: Newer Technologies → Better Control of the Market

5. Who does it Benefit? Beneficiaries:
Manufacturer
Corporation
Wholesaler
Retailer
3rd Party Organizer
Any other group that partakes in the selling part of the transaction.
Consumers may also indirectly benefit.

6. Effect on the Business Targeted Marketing
Knowing which products sell more, when and to which demographic
Machine Learning categorization over a large database
Inventory Tracking
Sales Tracking
Cheaper, Efficient Alternative
Etc.

7. Effect on the Consumer Online Shopping vs Brick and Mortar Store
Hyper Personalized Advertisements
Promotional Deals
Target Example
Product Suggestions and Recommendations
Consumers will spend more because of the simplicity and efficiency of online shopping, especially when provided with suggestions tailored to them.

8. Machine Learning in E-Commerce Today
Improving Search Results
Promotions and Suggestions
Business Intelligence
Strengthening Supply Chain Management
Price Management

9. Summary What is the history, context, and scale of the problem?
Why is the problem important?
Who is the problem important to? Who has complained about it?
How many customers is the problem important to?

10. Thank You