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Abstract In today’s logistics environment, high-quality data is essential for ensuring efficient processes and sustaining competitiveness. However, missing, erroneous, or duplicate entries in master data often lead to significant business consequences, such as inefficient supply chains, increased operating costs, and poor decision-making.
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