How it works: Watson uses Twitter social feed data and processes it according to a variety of different natural language inferencing tools - this data is then connected to local geolocation, providing for a rich highly personalized shopping concierge experience like never before seen.
Challenges I ran into: getting Watson Alchemy API to render real time.
Accomplishments that I'm proud of: producing real time sentiment data and matching it to geolocation inferences that leverage social media and watson tech to provide personalized data at a new level.
What I learned: Teamwork and new Watson tech like machine learning!
What's next for Shop Keeper: exploring the idea and how using Watson technology can transform the marketplace.