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  "documentTitle": "AI in Retail",
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  "notes": "The chart uses a color-coded legend to represent maturity levels from 'Not enough data' to 'Most solutions in production are mature'.",
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      "kind": "callout",
      "text": "Ecommerce and omnichannel players are placed ahead in the AI adoption cycle irrespective of retailer's age and revenue size due to more customer data availability compared to offline-focused retailers, who are primarily still at the exploratory stage, with some experimenting with 1-2 use cases.",
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      "text": "Figure 11: % of respondents based on level of maturity of AI solutions across functions",
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      "kind": "list",
      "text": "Across functions, majority respondents have enough data, but have not thought of use cases or are still experimenting with them. Brands that have invested early in AI have predominantly focused on sales and marketing use-cases.",
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      "kind": "title",
      "text": "Majority retailers are still ideating or experimenting, and even early movers have mature solutions in only 4 of 5 prioritised functions",
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