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Leverage the enriched delivery data of an extensive carrier network to help pinpoint addresses that may have a higher risk of non-delivery.
Enhanced visibility to package lifecycle and exception data enables proactive identification of at-risk shipments.
Statistical data models and machine learning identify historical loss patterns, creating a predictive score for addresses with similar attributes.
Web tool or API – choose what meets your business’s needs.