At present, more than 400,000 ships worldwide are equipped with transponders. Their AIS (Automatic Identification System) data are received with intervals between every few seconds to up to a few hours (in remote areas of the oceans). AIS data include the identification of the ship, its position, speed, draught and main dimensions. AIS data are commercially available by various providers, who also offer AIS-data derived information of different quality. Originally introduced of navigational safety, AIS data can be a powerful source of information for business intelligence applications. Typical issues that may be addressed through AIS data mining and post-processing software are: 1. How do partners / competitors run their networks? How many direct connections and transhipment do they offer? 2. Which charter vessels have higher chance of marine growth? 3. Which ports / terminals have congestion issues? 4. Do partners / competitors manage port operation faster? Why? 5. Will the targeted berth be available on time? 6. How do partners / competitors perform in terms of slow steaming and constant speed profile? How does that affect their fuel bill? 7. How well are others performing regarding schedule integrity? 8. What is the operational cost breakdown of other players? 9. How much time do others spend in port and anchorage? How does this affect average speed? 10. Which bunkering footprint do partners and competitors have? 11. How efficient do others bunker? 12. Where do competitors dry-dock?
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