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  "documentTitle": "AI in Retail",
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      "text": "Brands emphasise the importance of demonstrating clear ROI from AI investments given the investment size and alignment to immediate business goals.",
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      "text": "Figure 14: % of respondents based on critical data enablers",
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      "text": "Figure 12: % of respondents based on critical financial enablers",
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      "text": "Figure 13: % of respondents based on critical technological infrastructure enablers",
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      "text": "Figure 15: % of respondents based on critical people & organisational enablers",
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      "text": "Percentage of respondents: 38%",
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      "text": "Brands emphasise the importance of demonstrating clear ROI from AI investments given the investment size and alignment to immediate business goals. Conversely, e-commerce players often prioritise the implementation of AI solutions over immediate ROI, viewing AI as a critical investment for long-term success.",
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      "text": "Interoperable systems and robust network infrastructure ensures that AI tools and different systems can communicate effectively, creating a cohesive AI ecosystem where data and functionalities are shared seamlessly across platforms making them critical enablers.",
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      "text": "Skilled labor is the most critical enabler for smaller retailers to implement AI, while organisational culture and continuous training are key for larger retailers. Continuous training is feasible for retailers with large investment budgets, whereas smaller firms prioritise having a well-trained workforce due to budget constraints.",
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      "text": "While annotated data is not identified as a critical enabler by respondents, high-quality annotation is essential for training AI models and improving model performance. Dealing with large data is a constraint for most mid-sized brands, hence, scalability & flexible data platforms become key enablers.",
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      "text": "AI will reshape industries by driving a shift towards more ethical, data-driven models. — Leading Indian apparel retailer",
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