SUPPLY CHAIN INTELLIGENCE SEARCH ENGINE
A Global Supply Chain Intelligence system (“GSCF”) configured as a supply chain intelligence search engine adapted to predict, discover and verify commodity trade flows. Creating and maintaining a dataset that tracks real and near real-time commodity flows as they happen as an input to the GSCI. The dataset used in a business intelligence process within the GSCI to arrive at an output, such as a predicted price behavior, a price alert, a risk alert, etc. A Commodity Flow Intelligence (CFI) component that collects and analyzes information with the timeliness, detail and accuracy required to track, forecast and predict supply and demand imbalances at the discrete flow level to aid market participants in making operational trading and investment decisions, for example, in connection with a financial services system or offering providing enhanced data and tools to promote market transparency.
1 . A computer-based supply chain intelligence search engine comprising:
a server comprising a processor adapted to execute code and a memory for storing executable code;
an input adapted to receive a set of information derived from a set of information sources;
a first set of code when executed by the processor being adapted to automatically access a first set of information relating to a first set of locations of a set of transportation vehicles, the first set of locations being of the set of transportation vehicles at a first time and associated with a first journey, the first journey being in the present and not a previously completed journey;
a second set of code when executed by the processor being adapted to automatically access a second set of information relating to a second set of locations of the set of transportation vehicles, the second set of locations being of the set of transportation vehicles at a second time and associated with the first journey;
a third set of code when executed by the processor being adapted to automatically access a third set of information relating the set of transportation vehicles, the third set of information being related to a set of unique transportation vehicle identifiers;
a fourth set of code when executed by the processor being adapted to automatically access a fourth set of information relating to the set of transportation vehicles, the fourth set of information including a set of actual transaction data associated with a set of cargo types actually present on and being transported by the set of transportation vehicles during the first journey, the set of actual transaction data comprising data from at least one of the group consisting of: tender data; fixture data; and port inspection data;
a fifth set of code when executed by the processor being adapted to automatically access a fifth set of information not relating to the set of transportation vehicles;
a sixth set of code when executed by the processor being adapted to automatically forecast a set of tasks relating to the set of transportation vehicles and the set of cargo types, the set of tasks corresponding with the set of transportation vehicles, the set of tasks being based at least in part upon the first set of information, the second set of information, the third set of information, and the fourth set of information;
a seventh set of code when executed by the processor being adapted to automatically, based upon the set of tasks and the fifth set of information, generate a set of financial information relating to the set of cargo types and to store the set of financial information in the memory; and
an output adapted to transmit a signal associated with the generated set of financial information.