POI- Optimizing Retail with Product Demand Forecasting

[#1]

Team Name	POI (Proof of Insights)
Track	Retail, Consumer Goods & Manufacturing
Use Case	Product Demand Forecasting and Restocking in Retail: Insights from Promotions and Location Trends
Technology	SAS Studio, Visual Analytics, Visual Statistics, Visual Data Mining & Machine Learning and Python
Region	U.S. (East) and India
Team lead	(from Syracuse University) Arun prasadh Senthil @arunsenthil
Team members	(from Cognizant) Abirami Senthil: @abirami_senthil (from North Carolina State University) Pavithra Velumani: @pveluma  (from Syracuse University) Swetha Narasimhan: @swethan
Social media handles	Arun prasadh Senthil: https://www.linkedin.com/in/arun-prasadh-senthil/ Abirami Senthil: Abirami Senthil | LinkedIn Pavithra Velumani: https://www.linkedin.com/in/pavithra-velumani/ Swetha Narasimhan:  https://www.linkedin.com/in/swetha-narasimhan-b68071190/
Is your team interested in participating in an interview?	Y
Optional: Expand on your technology expertise	1st time using any SAS, let alone Viya.  On one hand have programmed in Python before and on the other hand have used GUI tools such as Power BI and Tableau.
Team photo
Pitch video
Jury video

[TedStolarczyk]

I'm super proud of my mentored SAS Hackathon Team POI as they just completed their very 1st (any) Hackathon and to boot, it's the very 1st time they have ever used any SAS software, let alone Viya (the main focus of the Hackathon).

[megak8]

So many firsts, these folks are pioneers!

[arunsenthil]

Thanks to @TedStolarczyk  for mentoring us through the hackathon. Your support and encouragement helped us complete it successfully. I’d love to keep in touch.

[abirami_senthil]

Thanks @TedStolarczyk. I've learned a lot and gained experiences from SAS hackathon with your mentorship. Looking forward to the next hackathon