Explore a conference talk on optimizing ecommerce omni-channel strategies using artificial intelligence. Dive into the challenges of modern retail and learn how to build a central inventory visibility system using predictive algorithms. Discover forecasting models, including Auto ARIMA, and their application in ecommerce. Examine machine learning techniques for optimizing order sourcing and routing, with a focus on predictive models. Gain insights into using predictive analytics for dynamic omni-channel inventory allocation and explore reinforcement learning, specifically Q-learning, for optimizing allocation across fulfillment centers. Witness a practical demonstration and review the results of implementing these AI-driven strategies in ecommerce operations.
Overview
Syllabus
intro
preamble
ecommerce industry
omni channel retailing
problem statement
agenda
building a central inventory visibility system using ai and predictive algorithms
forecasting use case
forecasting models
auto arima process
eda
using machine learning to optimize order sourcing and routing
predictive models
demo
predictive analytics to allocate omni-channel inventory dynamically
reinforcement learning to optimze allocation across fulfillment centers
q-learning
results
thank you!
Taught by
Conf42
