Our whitepaper, “From Transaction Handling to Intelligent Logistics Execution: Practical Starting Points for Applying AI in Logistics Firms,” explores the persistent gap between sophisticated tracking infrastructure and the manual reality of fragmented data. Despite high-tech systems, roughly 80% of enterprise data remains unstructured, leaving logistics teams buried in a mountain of 50+ documents per international shipment and stalled by weeks-long billing cycles.

This paper shows how logistics organizations can move beyond isolated automation toward intelligent logistics execution. By embedding AI into software at key operational handles between dispatch, execution, documentation, billing, and customer service, teams can transform fragmented documents and events into unified shipment data.

Rather than focusing on futuristic or high-risk applications, the whitepaper emphasizes practical, low-disruption AI adoption: improving data flowing into existing systems, handling messy real-world paperwork, automating exception workflows, and retaining human oversight where judgment matters most.

What the Whitepaper Covers:

• Why logistics efficiency is still limited by operational fragmentation, not lack of systems
• How AI-powered software fits naturally into real logistics workflows
• Practical starting points for AI adoption that deliver fast, measurable ROI
• Key use cases including invoice validation, document linkage, exception handling, and rate optimization
• How to turn BOLs, PODs, and freight invoices into operational assets
• The operational impact of intelligent execution: shorter cycles, fewer disputes, and scalable growth
• What to look for in early AI initiatives to ensure auditability, security, and integration readiness
• A step-by-step approach to getting started without disrupting live operations

Download the whitepaper to learn how logistics firms can evolve from transaction-heavy operations to intelligent, exception-driven execution, using AI as a practical software capability—not a risky leap.