Advance Recommendation System

2. • We are a team of strategists, PhD statisticians, and technologists
• We provide transformational solution at Marketing–Operation interface.
• We are leader in advance analytics
• We unveil insights from data and build system level solutions.
Innolitica - Data Driven Innovation
Who are we?

3. Advance Recommendation Engine
Work Flow and Process Mining
Multi Structure Data Processing Platform
Knowledge Engine

4. Domain KnowledgeMarketing
• Increase revenue
• Innovate new channels
• Increase effectiveness
Domain KnowledgeProduct
• Innovate new product
• Enhance current products
• Optimize product life cycle
Domain KnowledgeOperations
• Streamline process
• Increase efficiency
• Predict and rectify failure
Maximize the ROI by
Harmonizing Operations,
Identifying Right Customers,
and Right Market

6. Google Search Result

7. What if Google would have shown the result based on THEMEs that I am interested in and
events related to those THEMEs over the time

8. A consumer purchase is influenced by many variables

9. The recommendation system is designed to solve
complexity associated with multi channel
consumer
• Identifies themes/topics that matters most to
your costumers from various interactions and
data sources
• Drives the relationship among those
themes/topics
• Organizes the hierarchies of themes/topics
• Dynamically models relationship among
themes/topics
How it works?
The RS accurately predicts and recommends right set of items to right user

10. Our recommendation System
Netflix RS
Our recommendation system is 20% more accurate than
Netflix Recommendation System
Recall
Size of the recommendation list

11. Sanjay Kumar
Email:Sanjay.kumar@innolitica.com