Predicting grain products loaded on-board vessels

A method for analyzing maritime cargo information comprising:

• (a) receiving AIS information at a network server;
• said network server coupled to a network and a database;
• and wherein said MS information includes at least a vessel draft information and a location information;
• (b) processing the AIS information to remove outliers, incomplete information, and to standardize the information format;
• (c) effectuating association rules in response to said processing;
• (d) applying said association rules in response to a query received at the network server;
• and
• (e) responding to the query with the results;
• wherein said results include a list of ships with grain or grain product cargo space that lie within a projected spacial polygon of available ports with terminals having the capacity and capability of handling a shipment operation involving said grain or grain product.

One or more processor-readable storage devices, said devices including non-transitory processor instructions directing a processor to perform a method comprising:

• (a) receiving AIS information wherein said AIS information includes at least a vessel draft information and a location information;
• (b) calculating a TPCI in response to the vessel draft information;
• (c) determining cargo type from the location information using predictive analytics;
• (d) confirming a grain or grain product using predictive analytics;
• (e) determining the cargo volume available for said grain or grain product from said predictive analytics;
• (f) confirming carriage capability for a grain or grain product using predictive analytics;
• (g) determining the cargo volume available for said grain or grain product from said predictive analytics;
• and
• (h) updating said network by classifying vessels suitable for grain carriage in said database.