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data-quality

8 posts tagged with “data-quality

Supply Chain Data Errors Need a Cost-of-Decision Ledger
data-qualityanalytics

Supply Chain Data Errors Need a Cost-of-Decision Ledger

A cost-of-decision ledger connects logistics data errors to failed tenders, excess freight spend, detention, inventory mismatches, and customer penalties.

CXTMS InsightsCXTMS InsightsAugust 2, 2026 · 6 min read
UPS Small-Business Shipping Tools Need a Parcel Data Readiness Checklist
parcelsmall-business

UPS Small-Business Shipping Tools Need a Parcel Data Readiness Checklist

UPS is simplifying shipping for small businesses, but clean address, package, service, and promise data must come before faster label creation.

CXTMS InsightsCXTMS InsightsAugust 2, 2026 · 6 min read
Mexico's New Customs Rules Expose the Cost of Conflicting Shipment Definitions
customsMexico

Mexico's New Customs Rules Expose the Cost of Conflicting Shipment Definitions

Mexico's new customs rules show why cross-border teams need shared shipment definitions before documents, values, and broker instructions drift apart.

CXTMS InsightsCXTMS InsightsJuly 22, 2026 · 7 min read
Amazon’s Handling-Time Push Shows Seller Logistics Data Is Becoming a Service-Level Contract
marketplace-logisticsparcel

Amazon’s Handling-Time Push Shows Seller Logistics Data Is Becoming a Service-Level Contract

Amazon’s new handling-time rules show why sellers, shippers, and forwarders need cleaner order-ready timestamps and tighter logistics data governance.

CXTMS InsightsCXTMS InsightsJune 8, 2026 · 7 min read
Product Codes Used in Inventory Management: Why SKU Data Quality Is Becoming the New Warehouse Bottleneck
inventory-managementwarehouse-management

Product Codes Used in Inventory Management: Why SKU Data Quality Is Becoming the New Warehouse Bottleneck

Product codes used in inventory management are now execution data, not back-office labels. Clean SKU, GTIN, lot, serial, location, and license-plate data determine whether robotics, IoT, and fulfillment systems can actually deliver accuracy.

CXTMS InsightsCXTMS InsightsMay 10, 2026 · 7 min read
Fragmented Inventory Data Is Costing Shippers Millions: How Data Unification Solves False Stockouts and Reverse Logistics Limbo
data-qualityinventory-management

Fragmented Inventory Data Is Costing Shippers Millions: How Data Unification Solves False Stockouts and Reverse Logistics Limbo

Inventory data fragmentation costs the global retail industry $1.7 trillion annually. Learn how data unification eliminates false stockouts, reverse logistics gridlock, and the hidden costs of disconnected supply chain systems.

CXTMS InsightsCXTMS InsightsMarch 2, 2026 · 6 min read
AI Data Quality Crisis: Why Dirty Data Is the Biggest Obstacle to Supply Chain AI Adoption in 2026
ai-adoptiondata-quality

AI Data Quality Crisis: Why Dirty Data Is the Biggest Obstacle to Supply Chain AI Adoption in 2026

Dirty data is derailing supply chain AI initiatives in 2026. Learn why data quality—not technology—is the real bottleneck, and how freight organizations can build the data governance foundations needed for AI success.

CXTMS InsightsCXTMS InsightsMarch 1, 2026 · 6 min read
EDI 856 Goes Mission-Critical: How ASN Data Accuracy Is Becoming a Supply Chain Differentiator
EDIdata-quality

EDI 856 Goes Mission-Critical: How ASN Data Accuracy Is Becoming a Supply Chain Differentiator

EDI 856 ASN accuracy is now a competitive differentiator. Learn how retailer mandates, FSMA 204, and automation are making advance ship notice data quality mission-critical for supply chains.

CXTMS InsightsCXTMS InsightsFebruary 23, 2026 · 6 min read