According to a recent LinkedIn post from Starboard, the company is positioning its AI agent as a tool to help freight and logistics teams respond to a higher percentage of inbound DDP/DDU quote requests. The post describes a workflow in which the AI scans incoming inquiries, sources rates across existing contracts and spot providers, and generates quotes in minutes rather than hours.
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The post suggests that this capability could help logistics providers reduce unaddressed quote volume, potentially lifting conversion rates and revenue without adding headcount. For investors, the focus on automating quote management indicates Starboard is targeting a clear efficiency pain point in freight operations, which may support recurring SaaS-style revenue and deepen integration with customers’ pricing and carrier-selection processes.
As shared in the LinkedIn content, Starboard is also marketing its product at the JCtrans Global Conference in Bangkok, where it is present at Booth K225 and offering short demos. This conference presence signals an emphasis on business development within a concentrated logistics customer base, which could accelerate sales cycles and expand the company’s footprint among forwarders and shippers if product-market fit proves strong.