AI Won't Fix Forwarder Margins Without Better Data and Processes

Freight forwarders cannot expect artificial intelligence to solve margin erosion problems without first addressing foundational data quality and process issues, according to industry leaders Metro Shipping and Portcast. The article reveals that unbilled charges, manual rework, incorrect rates, and unreliable data are the root causes of profitability loss, and these must be remedied through process improvements before technology deployment.

Key findings include the complexity of detention and demurrage billing across varying contractual terms and free-time allowances, which creates significant opportunity for margin leakage. Australian forwarder Neolink demonstrates that automation and operational efficiency gains can exceed AI benefits: the company increased shipment volume handling by 80-90% without adding staff through process optimization and early purchase order integration.

The research shows that 48.7% of supply chain professionals cite system integration as a barrier to AI scaling, while 53.8% lack sufficient in-house expertise. The broader lesson for forwarders is that technology should solve clearly identified problems rather than be applied for its own sake, and that human oversight remains critical for customer-facing and profitability decisions.