According to a recent LinkedIn post from Starboard, the company is introducing an “Autonomous Mode” designed to automate the end‑to‑end freight quoting workflow for freight forwarders. The post describes an AI-driven system that captures quote requests, extracts shipment details, solicits rates from preferred carriers, benchmarks them against existing contracts, and prepares ready‑to‑send quotes.
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The post suggests this functionality could enable a single pricing agent to handle the workload previously managed by several staff, potentially improving response times and increasing quote throughput. For investors, this points to a product positioning that emphasizes labor efficiency and reduced time-to-quote, which may enhance Starboard’s value proposition in logistics tech and support pricing power or customer acquisition in a fragmented freight-forwarding software market.
By targeting freight forwarders for whom quoting speed is critical, Starboard appears to be focusing on a pain point that can directly influence win rates on shipments and customer retention. If adoption scales, such automation could drive recurring software revenue, deepen integration with customers’ carrier networks, and marginally shift industry expectations toward AI-enabled quoting as a standard capability.
The LinkedIn post also invites potential customers to review a product announcement blog and book demos, indicating an active go‑to‑market phase for this feature. For investors tracking early-stage logistics technology providers, increased engagement from these campaigns could be an indicator of pipeline growth and a test of market readiness for fully automated quoting workflows.