Transportation software built for reality
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AI IN LOGISTICS
and logistics teams can actually use,” Griswold said.
That allows faster, more accurate freight audits, thereby reducing billing errors, limiting manual intervention and shortening audit and payment cycles.
Earlier validation also enables companies to quantify their costs sooner. With AI-driven interpretation, organizations
achieve greater financial visibility before the reporting period closes.
Regulatory requirements
For shippers, regulatory compliance is becoming increasingly complex. Requirements span customs and trade compliance, environmental and emissions reporting, labor regulations, financial controls, and data privacy, often varying by country, region and transportation mode.
Keeping pace with these obligations using manual processes alone has become progressively difficult.
“ Instead of relying on periodic reviews, AI enables continuous compliance monitoring by evaluating shipments,
“ Ultimately, AI allows shippers to scale compliance efforts without scaling headcount.”
transactions and documentation in near real time against current regulatory requirements,” Griswold said.
“ As rules change or new mandates are introduced, potential compliance issues can be identified early, reducing the risk of downstream penalties or disruptions. Ultimately, AI allows shippers to scale compliance efforts without scaling headcount.” Document processing is a major component of this shift. AI automatically extracts required filing data from unstructured sources such as emails, commercial invoices, packing lists and customs documents while validating completeness, Chang said.
“ By consolidating more data into a normalized, centralized record, AI strengthens existing deterministic compliance processes, enabling rule-based engines to better assess risk, identify missing or inconsistent information, and trigger targeted data requests,” Chang said.
“ This ensures human involvement occurs only at critical decision points or true exception scenarios, reducing compliance risk while improving speed, accuracy and audit readiness.”
Problem solving Global freight and transportation data is inherently complicated. Even within the
Transportation software built for reality
A transportation management system( TMS) operated by TAD Software is designed to reflect how transportation operations actually run— across modes, partners, and daily exceptions— rather than how systems assume they should.
Why traditional TMS falls short
Most legacy TMS platforms focus on standardized workflows and ideal scenarios. In practice, transportation teams manage far more: shifting appointments, incomplete information, last-minute changes, customer expectations, carrier constraints and decisions that rely on experience as much as data. These realities are often handled outside the system, creating hidden operational effort and fragmented visibility.
The result is a system that aligns more closely with operational reality while maintaining the structure and accountability that organizations expect from a TMS.
Grounded in industry experience Developed by transportation professionals with decades of experience, TAD emphasizes usability, transparency and practical problem-solving over surface-level optimization. The platform is live and in use, with a roadmap shaped directly by operator input.
TAD’ s approach is simple: transportation works because people make it work. Software should support that reality— not work against it. Find out how TAD can make your process a tad better at TADsoftware. com. n
Designed around operational reality TAD was built to close that gap. The platform is structured around the full scope of what transportation teams manage day to day, giving operators a clearer, more accurate view of their workload and reducing the need for manual fixes, side systems and workarounds. By accommodating real-world exceptions and operational judgment, TAD helps teams spend less time compensating for software limitations and more time running transportation effectively.
TAD supports shippers, forwarders and logistics organizations managing complex transportation environments. Its flexible architecture is designed to adapt as operations grow and evolve, rather than forcing teams to conform to rigid system constraints.
78 Journal of Commerce | March 2, 2026 www. joc. com