building a central inventory visibility system using ai and predictive algorithms
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forecasting use case
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forecasting models
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auto arima process
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eda
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using machine learning to optimize order sourcing and routing
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predictive models
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demo
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predictive analytics to allocate omni-channel inventory dynamically
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reinforcement learning to optimze allocation across fulfillment centers
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q-learning
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results
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thank you!
Description:
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.