The Machine Learning Center at Georgia Tech presents a seminar with a talk titled "Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment"  by Graham Poliner of Macy's. The event will be held in the Marcus Nanotechnology Building, Rooms 1116-1118, from 12:15-1:15 p.m. and is open to the public.

Abstract

The retail industry is the midst of rapid change due to intensifying competition from fragmented and non-traditional sources, expansion of assortment breadth and product availability, and more transparent pricing. Evolving consumer expectations have applied stress to traditional retailing approaches and existing networks. To adapt, the application of analytical methods has become pervasive across a wide range of retailing functions including marketing, merchandising, logistics, and pricing. In this talk, we will discuss methods to overcome emerging supply chain constraints, how cross-channel demand information can be used to inform localized assortment decisions, and the use of customer insights and visual learning to enable personalized shopping experiences. 

Biography

Graham Poliner is the SVP of Strategy and Analytics at Macy’s, Inc. In this role, he has responsibility for functions spanning, strategy, analytics, and operations including corporate strategy, data science, customer analytics, fulfilment/inventory strategy, pricing strategy/operations, and replenishment operations. Prior to joining Macy’s, Graham was a consultant with Kurt Salmon where he led analytical engagements on merchandising & planning, supply chain strategy, and customer insights for leading retail and consumer product clients. Graham received a Ph.D. from Columbia University focused on machine learning and signal processing and a B.S. in Electrical Engineering from Georgia Tech.