# US 2016/0125431 A1 · Competitive airline market data analysis > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2016/0125431 A1 - Document ID: US20160125431A1 - Status: Published application - Kind: A1 - Application number: 14/922,655 - Filed: 2015-10-26 - Published: 2016-05-05 - Earliest claimed: 2014-10-27 - Assignees: Profusion Corp. - Applicants: Profusion Corp. - Inventors: Harold Roy Miller - Web page: https://patentgrep.com/patent/US20160125431A1 ## CPC - G06Q 30/0201: Market modelling; Market analysis; Collecting market data - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Methods for competitive market data analysis is disclosed herein. The methods comprise receiving historical data for a plurality of air carriers. The historical data is normalized and partitioned into competitive market segments. Additionally, historical airline data related to an airline is received. The historical airline data is analyzed in view of the competitive market segments. Based on the analysis, a schedule and fleet selection of the airline can be modified. ## Claims ### Claim 1 A method for competitive market data analysis, the method comprising: receiving, by a processor, historical data for a plurality of air carriers; normalizing, by the processor, the historical data; partitioning, by the processor, the historical data into competitive market segments; receiving, by the processor, historical airline data related to an airline; and analyzing, by the processor, the historical airline data in view of the competitive market segments. ### Claim 2 (depends on 1) The method of claim 1, further comprising, based on the analysis, modifying at least one schedule and fleet selection associated with the airline. ### Claim 3 (depends on 1) The method of claim 1, wherein the partitioning of the competitive market segments is based on at least one of the following: a flight schedule, a route, a passenger load, and a fleet. ### Claim 4 (depends on 1) The method of claim 1, wherein the partitioning of the competitive market segments is based on criteria received from an operator. ### Claim 5 (depends on 1) The method of claim 1, further comprising, based on the analysis, providing statistical data including at least one of the following: a distribution of demand among the plurality of air carriers, a performance of the airline against the demand and against at least one of the plurality of air carriers, and an impact of frequency on each of a plurality of markets. ### Claim 6 (depends on 5) The method of claim 5, further comprising determining using the statistical data including at least one of the following: a competitive position of the airline in relation to at least one of the plurality of air carriers, profitability of the airline based on a mean value, and risk-based predictive scheduling. ### Claim 7 (depends on 1) The method of claim 1, wherein the analysis is performed for one or more predefined itineraries. ### Claim 8 (depends on 1) The method of claim 1, further comprising: based on the analysis, generating two or more modified schedules associated with the airline; comparing the two or more modified schedules; and selecting, based on the comparison, one of the two or more modified schedules based on predefined parameters. ### Claim 9 (depends on 1) The method of claim 1, further comprising: based on the analysis, determining at least one competitive market segment with a higher demand in comparison to other competitive market segments, at least one competitive market segment with a low competition, and at least one competitive market segment with a high profitability. ### Claim 10 A system for competitive market data analysis, the system comprising: at least one processor configured to: receive historical data for a plurality of air carriers; normalize the historical data; partition the historical data into competitive market segments; receive historical airline data related to an airline; and analyze the historical airline data in view of the competitive market segments; and at least one database in communication with the at least one processor, the at least one database configured to store at least the historical data and the competitive market segments. ### Claim 11 (depends on 10) The system of claim 10, wherein the processor is further configured to modify, based on the analysis, at least one schedule and fleet selection associated with the airline. ### Claim 12 (depends on 10) The system of claim 10, wherein the partitioning of the competitive market segments is based on at least one of a flight schedule, a route, a passenger load, and a fleet. ### Claim 13 (depends on 10) The system of claim 10, wherein the partitioning of the competitive market segments is based on criteria received from an operator. ### Claim 14 (depends on 10) The system of claim 10, wherein the processor is further configured to provide statistical data based on the analysis, the statistical data including at least one of the following: a distribution of demand among the plurality of air carriers, a performance of the airline against the demand and against at least one of the plurality of air carriers, and an impact of frequency in each of a plurality of markets. ### Claim 15 (depends on 14) The system of claim 14, wherein the processor is further configured to determine using the statistical data, at least one of the following: a competitive position of the airline in relation to at least one of the plurality of air carriers, profitability of the airline based on a mean value, and risk-based predictive scheduling. ### Claim 16 (depends on 10) The system of claim 10, wherein the analysis is performed for one or more predefined itineraries. ### Claim 17 (depends on 10) The system of claim 10, wherein the processor is further configured to: generate, based on the analysis, two or more modified schedules associated with the airline; compare the two or more modified schedules; and select, based on the comparison, one of the two or more modified schedules based on predefined parameters. ### Claim 18 (depends on 10) The system of claim 10, wherein the processor is further configured to determine, based on the analysis, at least one competitive market segment with a higher demand in comparison to other competitive market segments, at least one competitive market segment with a low competition, and at least one competitive market segment with a high profitability. ### Claim 19 (depends on 10) The system of claim 10, wherein the historical data includes data associated with airline traffic, airline rates, one or more present schedules, a fleet selection, an airline fleet, a crew, and an airline network. ### Claim 20 A non-transitory processor-readable medium having instructions stored thereon, which when executed by one or more processors, cause the one or more processors to implement a method for competitive market data analysis, the method comprising: receive historical data for a plurality of air carriers; normalize the historical data; partition the historical data into competitive market segments; receive historical airline data related to an airline; and analyze the historical airline data in view of the competitive market segments.