US 12,236,401 B2
Trading partner relationship graph for information exchange platform
Ricardo Ceppi, Vienna, VA (US); John Theodore Radko, Germantown, MD (US); and Miguel Garcia, Atlanta, GA (US)
Assigned to OPEN TEXT GXS ULC, Halifax (CA)
Filed by OPEN TEXT GXS ULC, Halifax (CA)
Filed on Dec. 18, 2023, as Appl. No. 18/543,503.
Application 18/543,503 is a continuation of application No. 18/165,149, filed on Feb. 6, 2023, granted, now 11,853,970.
Application 18/165,149 is a continuation of application No. 17/175,436, filed on Feb. 12, 2021, granted, now 11,574,286.
Application 17/175,436 is a continuation of application No. 16/424,060, filed on May 28, 2019, granted, now 10,922,655.
Application 16/424,060 is a continuation of application No. 15/337,884, filed on Oct. 28, 2016, granted, now 10,346,802.
Claims priority of provisional application 62/247,510, filed on Oct. 28, 2015.
Prior Publication US 2024/0119418 A1, Apr. 11, 2024
Int. Cl. G06Q 10/10 (2023.01); G06Q 10/101 (2023.01); G06T 11/20 (2006.01); H04L 67/1097 (2022.01)
CPC G06Q 10/103 (2013.01) [G06T 11/206 (2013.01); H04L 67/1097 (2013.01); G06Q 10/10 (2013.01); G06Q 10/101 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
aggregating, by a computer operating on an information exchange platform, trading activities and volume data across the information exchange platform, wherein the trading activities and volume data relate to operating units that exchange information about a plurality of items through the information exchange platform;
running, by the computer, analytics on the trading activities and volume data thus aggregated to thereby produce analytic results, wherein running the analytics comprises determining whether a global demand for the plurality of items or a portion thereof has been decreasing or increasing in a previous timeframe based on the trading activities and volume data within the previous timeframe thus aggregated across the information exchange platform in a trading partner (TP) graph and wherein the analytic results comprise the global demand;
applying, by the computer, the analytic results to a predictive model configured for predicting a global trend for the plurality of items or the portion thereof in view of the trading activities and volume data across the information exchange platform, wherein the predictive model is operable to determine, based at least in part on the global demand, whether the global trend for the plurality of items or the portion thereof is to continue decreasing or increasing in a next timeframe; and
providing, by the computer, the global trend for presentation on a client device.