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An Amazon Wholesale Business can improve its purchasing accuracy by comparing forecasted demand with actual sales after every major inventory cycle. If a product consistently sells faster than expected, future planning can account for that pattern. If demand repeatedly falls below expectations, purchasing quantities can be adjusted accordingly. This creates a feedback loop where every order improves the next forecast. Over time, sellers gain a more accurate understanding of their own inventory behaviour, reducing dependence on generic assumptions when making purchasing decisions.
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