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Importers are rethinking where the logistics control towers of tomorrow should reside and many are looking in-house.

The number one go-to SCM technology remains to be spreadsheets and email. The same as it was 5 years ago.

By digitizing manual communications that typically fall through the cracks of existing systems, operators can take the first steps to driving greater execution and quality for customers.

A top 10 global freight forwarder with over 60,000 monthly FCL carrier bookings and space allocations partnered with Slync.io to improve their operational efficiencies.

Logistics teams work around the clock to ensure valuable freight moves as efficiently as possible, yet operators are expected to do it with yesterday’s tools.

Calculating emissions accurately will lead companies down the path of judging energy consumption, and thus enable shippers to get a better grip on fuel adjustment factors.

These cases for AI prove that the time to shift strategies is now. Here are a few AI use cases seeing serious traction across the market:

The first step in competing with services like Prime’s two-day shipping requires investment in AI to bring new levels of efficiency, collaboration and cost savings to the logistics process.

The path to a single version of truth for all supply chain data is not through coercion, standards bodies, the next programming language.