Case Study: VesselBot achieves 60-70% operational efficiency gains and 5-8% transport cost savings with Spire

How AIS Data refined wave loading Insights into a Vessel’s Structural Condition and the route its taking can have a major impact on operations

VesselBot, a technology company modernizing dry bulk chartering, faced a slow, fragmented process that relied on screening hundreds of emails and calls across multiple channels and lacked real‑time market visibility. Charterers and ship owners were missing cargo and open tonnage opportunities because they couldn’t track changing vessel availability or integrate disparate data sources—so VesselBot partnered with Spire to access satellite AIS and related maritime data to address these gaps.

Using Spire’s satellite data and Spire Maritime’s Vessels API, VesselBot’s platform merges AIS, port, bunker, cargo, route and distance data to eliminate silos and produce optimal matches in seconds. The solution evaluated ~11,000 active vessels with 100+ parameters to generate 75 ranked matches, delivering 60–70% increases in operational efficiency and 5–8% average transportation cost savings while enabling faster, data‑driven fixture decisions—powered by Spire.

VesselBot