Detecting anomalies within Flipkart's Fulfillment Network
Submitted by Govind Pandey (@govind-pandey) on Friday, 5 October 2018
Section: Full talk Technical level: Intermediate
Running a fulfillment network is a challenge in itself. Doing so in India only adds to it. So far, Flipkart has been relying on business dashboards for monitoring the fulfillment network. We have been steadily moving towards an anomaly based mechanism to automatically detect deviations from data and trigger actions.
In this talk, we will discuss the motivation for automation, our approach in detecting anomalies through science and learnings.
A realization of the magnitude of variance in supply chain.
Govind is focussing on Supply Chain Automation, Predictive Optimizations and Actionable Insights by leveraging Artificial Intelligence and in house Big Data platforms at Flipkart. His engineering experience is primarily in building platforms. In the past, he has worked on the inhouse stream processing platform at 247.ai and the Business Activity Monitoring, Business Rules and Process Orchestration platforms at Oracle. He is an Advanced Communicator Silver and Advanced Leader Silver as certified by Toastmasters International.