Orchestrating omnichannel order fulfillment is complex for retailers operating across physical and digital channels. Inaccurate inventory visibility and sub-optimal sourcing lead to high shipping costs and missed deliveries. In this presentation, the speaker will discuss how advanced analytics and AI can optimize omnichannel order flows. He will outline real-world solutions he architected that leveraged artificial intelligence and machine learning to increase omnichannel efficiency by over 20% for leading apparel retailers.

The presenter will discuss in detail:

- Building a central inventory visibility system using AI and predictive algorithms.

- Using machine learning to optimize order sourcing and routing-

- Predictive analytics to allocate omni-channel inventory dynamically.

- Reinforcement learning to optimize allocation across fulfillment centers.

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