With nine years at the helm of the Freightos Marketplace—building digital freight operations from the ground up when online booking was still an unfamiliar concept to most shippers—Eli Wolf brings frontline operational expertise to the realities of cross-border trade. Today, as Senior Director of the SMB Marketplace and AI Operations at Freightos, he oversees marketplace execution, financial performance, and AI-driven operational efficiencies connecting small and mid-sized shippers with global logistics providers.
While headlines often focus on geopolitical cooling or promises of fully autonomous logistics, the day-to-day reality for SMB importers remains unforgiving. Between sticky post-crisis customs regulations, unexpected carrier cost passthroughs, and the need for realistic transit buffers, shippers who plan around best-case scenarios leave their margins exposed.
In this three-part edition of Freightos Thoughts, Eli sits down with Head of Research Judah Levine to share a pragmatic playbook for navigating supply chain friction. Across three concise video breakdowns, he examines:
- The Permanent Compliance Baseline: Shippers often expect regulatory scrutiny to ease when geopolitical disruptions cool down, but historical precedent shows trade requirements and customs checks remain permanently elevated post-crisis.
- Pre-Booking Documentation Rigor: Border inspections and customs delays are rarely solved at sea. Importers must meticulously coordinate with customs brokers to validate all documentation and classification records prior to placing a cargo booking.
- The Client Expectation Buffer: Geopolitical shocks cannot be predicted, but customer delivery timelines can be protected. Establishing wide, deliberate lead-time buffers shields B2B customer relationships from unexpected ocean and port delays.
- Early Delivery Over Tight Deadlines: Building lead times around theoretical best-case transit schedules creates operational vulnerability. Designing logistics workflows with calculated slack ensures no customer is disappointed by early delivery while keeping downstream commitments intact.
- The Fallacy of Standalone Autonomy: While market discourse frequently overpromises fully autonomous logistics, current AI applications struggle to handle nuanced, end-to-end freight execution reliably without human oversight.
- Replicating Operational Muscle Memory: Machine learning delivers its highest ROI when applied to processes teams have done manually for years—continuously tracking shipments, monitoring documentation checkpoints, and validating milestone integrity across carriers.
- Pre-Escalation Interception: Rather than reacting to terminal demurrage or customs rejections after the fact, operational AI flags emerging discrepancies early so teams can resolve risks before they compound into financial penalties.
- Precision Notification Routing: True supply chain efficiency relies on notifying the right human stakeholder at the exact operational window required, combining automated alert precision with human decision-making.
- The Carrier Cost Passthrough: Asset-owning ocean carriers always ensure their operating expenses are covered. When unexpected vessel or terminal disruptions arise, those charges flow through service providers directly to the end shipper.
- Margin Erosion from Unplanned Fees: Booking ocean or air freight solely around baseline quote estimates leaves SMB importers financially exposed whenever upstream operational surprises occur.
- The Dual-Buffer Mandate: Protecting profitability in volatile freight markets requires building both a dedicated financial contingency reserve and a realistic lead-time buffer into every shipment plan.
- Proactive Budgeting Over Reactive Disputes: Because post-booking carrier surcharges are structurally passed down the supply chain, accounting for potential fee variance upfront prevents cash-flow shocks upon invoice arrival.
