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๐™๐™๐™š ๐™˜๐™–๐™ง๐™œ๐™ค ๐™ง๐™š๐™˜๐™š๐™ž๐™ซ๐™ž๐™ฃ๐™œ ๐™ฌ๐™ž๐™ฃ๐™™๐™ค๐™ฌ ๐™™๐™ค๐™š๐™จ๐™ฃโ€™๐™ฉ ๐™๐™ค๐™ก๐™™ ๐™–๐™ฃ๐™ฎ๐™ข๐™ค๐™ง๐™š. Vessel schedules now shift late and often. ERDs move. CY cutoffs donโ€™t align. Rail plans adjust with each revision. By the time the final update reaches the team, the decision has already been made for them. Thatโ€™s where costs show up: โ€ข Missed cargo receiving windows โ€ข Demurrage and storage fees โ€ข Rolled shipments and last-minute recovery No one is doing anything wrong. The system itself has become unpredictable. Most exporters try to solve this with visibility. But visibility isnโ€™t the constraint. Timing is. Across thousands of schedule updates, only a small fraction actually require action - and almost all of them happen in the final days before execution. The problem isnโ€™t access to data. Itโ€™s knowing when a change becomes operational. ๐™๐™ง๐™–๐™™๐™š๐™‡๐™–๐™ฃ๐™š๐™จ ๐™ž๐™จ ๐™– ๐™‘๐™š๐™จ๐™จ๐™š๐™ก ๐™Ž๐™˜๐™๐™š๐™™๐™ช๐™ก๐™š ๐™„๐™ฃ๐™ฉ๐™š๐™ก๐™ก๐™ž๐™œ๐™š๐™ฃ๐™˜๐™š ๐™จ๐™ฎ๐™จ๐™ฉ๐™š๐™ข ๐™›๐™ค๐™ง ๐™š๐™ญ๐™ฅ๐™ค๐™ง๐™ฉ๐™š๐™ง๐™จ. Instead of chasing updates across carrier sites and terminal feeds, TradeLanes identifies when schedule changes cross from noise into decisions: โ€ข When ERDs or CY cutoffs become actionable โ€ข When rail and vessel fall out of alignment โ€ข When shipments are at risk of rolling ๐™€๐™ญ๐™ฅ๐™ค๐™ง๐™ฉ๐™š๐™ง๐™จ ๐™ช๐™จ๐™š ๐™๐™ง๐™–๐™™๐™š๐™‡๐™–๐™ฃ๐™š๐™จ ๐™ฉ๐™ค ๐™ค๐™ฅ๐™š๐™ง๐™–๐™ฉ๐™š ๐™ž๐™ฃ๐™จ๐™ž๐™™๐™š ๐™ฉ๐™๐™š ๐™˜๐™–๐™ง๐™œ๐™ค ๐™ง๐™š๐™˜๐™š๐™ž๐™ซ๐™ž๐™ฃ๐™œ ๐™ฌ๐™ž๐™ฃ๐™™๐™ค๐™ฌ - ๐™ฃ๐™ค๐™ฉ ๐™ง๐™š๐™–๐™˜๐™ฉ ๐™ฉ๐™ค ๐™ž๐™ฉ. Fewer surprises. Fewer rolls. More control over execution.

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Vijay Harrell is the CEO of TradeLanes.

6 people are employed at TradeLanes.

TradeLanes is based in Oakland, California.

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