www.pydata.org
Large scale call centres are the frontline of customer experience across many industries. Optimizing their operations is crucial for achieving better customer service. We model agent customer pairing as a “talent” allocation problem. In this talk, we discuss how we used uplift modelling to provide real time agent-customer pairings that drive a positive lift in overall interaction score (which can come from any arbitrary scoring function). We discuss the challenges of developing and deploying such models to make real-time interventions in call centres. Similar approaches can be used to drive uplift of any important business KPI with respect to an allocation decision.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: [ Ссылка ]
Ещё видео!