Your AI-powered EDI automation project just failed spectacularly. Nearly half of companies report their AI initiatives running behind schedule or over budget, and AI development costs can range from $50k to $500k+ depending on complexity. The promise of automated data mapping, predictive analytics, and intelligent error detection sounds compelling, but
Multi-factor authentication represents the most cost-effective defense against nearly 30% of Known Exploited Vulnerabilities (KEVs) that were weaponized within 24 hours of disclosure in 2025. With more than 23,600 vulnerabilities published in the first half of 2025 alone, representing a 16% increase over 2024, EDI systems face unprecedented exposure
EU companies started reporting under new sustainability requirements in 2025, and companies must disclose data on their greenhouse gas emissions, energy consumption, water usage, and waste management practices with all reported data needing to be digitally tagged and audited. The problem? Scope 3 emissions typically represent 70–90% of a
Legacy EDI monitoring costs manufacturers an average of $62,000 daily when performance bottlenecks disrupt supply chain operations. The culprit? Most organizations still rely on batch processing systems that update transaction status hours after failures occur, while trading partners demand real-time visibility and instant error resolution. Building a comprehensive EDI
EDI managers face a decision that will define their operations for years to come. With the global EDI software market valued at $2.08 billion in 2024 and projected to reach $5.30 billion by 2032, the stakes couldn't be higher. The EDI market is expected to reach
Companies with major carbon reporting obligations are facing 2025 deadlines sooner than many expected. The first companies subject to the Corporate Sustainability Reporting Directive (CSRD) have to apply the new rules for the first time in the 2024 financial year, for reports published in 2025. In Europe, 11,700 of
Your EDI procurement decision will determine whether you spend the next five years buried in support tickets or enjoying smooth data flows. EDI performance bottlenecks cost companies an average of $62,000 per day in delayed shipments and processing errors. Successful EDI implementation can reduce costs over 90% compared to
Most EDI managers understand traditional automation: artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) to automate independent business functions in their supply chain operations. But in 2025, the conversation shifts to EDI hyperautomation—a comprehensive approach that delivers measurable ROI when implemented correctly. After years of pilots
CBP's new enhancement auto-rejects cargo filings missing sufficient cargo descriptions, shipper, or consignee names, with the official rollout to the ACE Production Environment scheduled for September 27, 2025. If your EDI system hasn't been tested against these changes yet, you're potentially looking at automated
The numbers tell a harsh story about the EDI skills shortage crisis: 29% of businesses say they lack the skilled resources to build and manage integrations between systems, applications, and partner ecosystems. Meanwhile, a lack of cloud skills costs businesses up to $258 million annually, according to the London School
Building a comprehensive EDI disaster recovery framework has become more than just good practice. Global supply chain disruptions in 2024 led companies to incur financial losses averaging around 8% of their annual revenues, with major supply chain disruptions now occurring approximately every 3.7 years. Your EDI systems sit at
Most supply chain managers face a similar challenge when evaluating TMS platforms: systems promise seamless carrier integrations, but adding new carrier integrations costs approximately $3,000 per carrier, with carriers typically implementing standard EDI/XML messages themselves. The reality hits harder when you discover that your chosen platform's