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Retail Could Add $42 Billion in Value Annually With AI-Powered Fulfillment Optimization

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Three core areas across the retail value chain — merchandising and assortment, store operations and logistics/fulfillment — are poised to benefit from specific high-value use cases for AI and machine learning. Companies using AI/ML can drive:

  • 2X more data-driven decisions;
  • 5X faster decision-making; and
  • 3X faster execution.

Just in the area of omnichannel fulfillment optimization, AI algorithms, in combination with cloud data platforms aggregating fast-moving data across fully integrated shopping experiences, have the potential to unlock as much as $42 billion in projected value annually by 2023.

Learn more about AI/ML’s retail industry potential in this infographic from Google Cloud.

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