CN114580902A - Intelligent yield management robot for BetaGo navigation department - Google Patents

Abstract

The invention relates to the technical field of navigation and travel big data, and particularly discloses an intelligent yield management robot for BetaGo navigation department, which comprises a yield plan management subsystem, a decision center subsystem, a competition strategy management subsystem, a cooperation strategy management subsystem, a progress strategy management subsystem, an active pricing management subsystem and a team management subsystem; by using the technology of flight price big data + RPA + AI prediction and yield management, automation and intellectualization of flight demand monitoring and prediction, competitor price monitoring and insights, coping strategies, pricing and inventory control and yield evaluation flow are provided for the yield management personnel of the flight department. In the revenue management work of the navigation department, the changes of market competition and market share are automatically monitored for revenue management personnel, and an optimal price adjustment and inventory control suggestion is recommended, so that the navigation department is helped to greatly improve the management efficiency, reduce the management cost and realize the maximum revenue.

Description

Intelligent yield management robot for BetaGo navigation department

Technical Field

The invention relates to the field of navigation big data, in particular to an intelligent yield management robot for a BetaGo navigation department.

Background

At present, the implementation effect of revenue management in a foreign navigation department is very ideal, 3% -6% revenue promotion can be generated after the revenue management is implemented by a general navigation department, however, the implementation effect of the revenue management in the domestic navigation department is far away from the expectation, although the navigation department expends huge resources to introduce an international revenue management system, most of the navigation departments abandon the revenue management system because the system is difficult to fall to the ground, and finally, the daily revenue management work is still carried out by adopting a manual mode and price fighting, so that the revenue level of the navigation department is difficult to be improved, the economic benefit of the navigation department is seriously challenged, and the main reason that the international revenue management system is difficult to fall to the ground in the country is as follows:

the domestic airline of China is completely different from the foreign airline: the international airline is a typical hub-type airline network and is characterized by few flights, few co-flying companies and relatively stable transport capacity structure; the domestic airline is a typical point-to-point navigation network structure, and the airline changes frequently, so that the traditional yield management technology and system are difficult to directly get on the line in the domestic airline;

the difference of passenger's custom of buying tickets has caused short-term market demand to predict inaccurately, leads to traditional fortune to chose out optimization technique and became invalid: more than 60% of domestic passenger booking airline tickets are usually booked 2-3 days before departure, and foreign passengers are booked 2-3 weeks before flight departure, so that the prediction of market demands (middle period) is very accurate in foreign countries, but the prediction of market demands in 3 days in domestic is not accurate at all, and the optimization is more difficult to operate due to inaccurate prediction;

the income management system starts to acquire and calculate data from 360 days before the flight takes off, and people can only care that flights within 90 days are on the international line by manpower, the advance period of the passenger reservation is long, so that the advantage of income management is well exerted, and the booking of domestic online passengers beyond 1 month is very limited, and generally, the booking starts within 2-3 days before the flight takes off, so that the effect of the income management system in opening the booking in advance is poor, even the cabin is opened too early in advance and cannot be audited in time by manpower, so that the flights are sold for a large part when unreasonable prediction is discovered; and premature low bay opening can easily cause competitors to follow, thereby advancing the price fight and making it more difficult for the airline to deal with.

The openness of data causes the price vicious competition among airlines, which causes the failure of the operation optimization technology, the development of the profit management system comes from abroad, the operation data of each competitive company is strictly confidential under the operation environment of the foreign countries, and a plurality of GDS distributors often participate in the foreign countries, so the data among the competitive companies is unavailable. Based on the method, the yield management system only collects the own operation data of the airline company; in China, only one GDS distributor of the middle airlines is used, all the airlines are reserved on the platform, and platform data are collected in an open mode, so that the domestic airlines can easily see operation data of competitors.

Disclosure of Invention

The invention aims to provide an intelligent yield management robot for a BetaGo navigation department, which realizes automation and intellectualization of the shipping price and yield management process of the navigation department.

In order to achieve the purpose, the intelligent yield management robot for the BetaGo navigation department, which is adopted by the invention, comprises a yield plan management subsystem, a decision center subsystem, a competition strategy management subsystem, a cooperation strategy management subsystem, a progress strategy management subsystem, an active pricing management subsystem and a team management subsystem;

the income plan management subsystem is used for making an operation income strategy;

the decision center subsystem is used for making and evaluating key performance indexes of regional income;

the competition strategy management subsystem is used for making a competition strategy and evaluating the competition strategy;

the cooperation strategy management subsystem is used for making cooperation strategies and evaluating the cooperation strategies;

the progress strategy management subsystem is used for making and evaluating a progress strategy;

the active pricing management subsystem is used for making an active pricing strategy and evaluating the active pricing strategy according to the customer source types;

the team management subsystem is used for making a team strategy and evaluating the effect of the team strategy.

The revenue plan management subsystem comprises an integral target making module and a key OD flight segment image making module;

the overall target making module is used for making an overall target according to the market;

the key OD flight segment portrait module is used for summarizing and sorting out key OD flight segments and generating flight segment portraits.

Wherein the decision center subsystem comprises a region OKR formulation module, a unified view module, a policy selector, and a region OKR evaluation module;

the region OKR formulation module comprises: setting key performance indicators of earnings of an area, wherein the area is divided into domestic and international;

the unified view module comprehensively unifies the views of the formulated area OKR;

the strategy selector makes strategy selection logic based on the integrated area OKR view and executes the strategy selection logic;

the region OKR assessment module is used for performing assessment analysis on the region OKR view.

The competition strategy management subsystem comprises a competition strategy formulation module, a freight rate change monitoring module and a competition scheme generation module;

the competition strategy making module is used for making an input competition strategy;

the freight rate change monitoring module is used for monitoring competitive information of the competitive flight department, the selling price of the airline and the attendance rate and progress;

the competition scheme generating module generates a competition scheme based on competition information.

The cooperation strategy management subsystem comprises a cooperation strategy making module, a cooperation scheme making module and a cooperation scheme monitoring module;

the cooperation strategy making module is used for making an input cooperation strategy;

the cooperation scheme making module is used for negotiating the headquarter cooperation scheme, inputting the headquarter cooperation scheme and making a cooperation freight rate scheme;

and the cooperation scheme monitoring module monitors competitive aviation in real time based on the cooperation freight rate scheme, and gives out early warning if the competitive aviation is not in the range of the cooperation freight rate scheme.

The progress strategy management subsystem comprises a progress strategy making module, a progress early warning module and a progress scheme generating module;

the progress strategy making module is used for making an entry progress strategy;

the progress early warning module is used for monitoring a progress strategy in real time and sending out early warning if the progress strategy is abnormal;

and the progress scheme generating module is used for generating a progress scheme based on the progress strategy.

The active pricing management subsystem comprises an active pricing strategy making module, an active pricing scheme generating module and a running price generating module;

the active pricing strategy making module is used for making an input active pricing strategy;

the active pricing scheme generating module generates an active pricing scheme based on an active pricing strategy;

and the freight rate generation module generates and releases the freight rate based on the active pricing scheme.

The team management subsystem comprises a team strategy making module, an automatic quotation logic parameter configuration module and a team generation module;

the team strategy making module is used for making an input team strategy;

the automatic quotation logic parameter configuration module is used for configuring a completion logic parameter based on a temporary inquiry and automatic quotation logic;

and the team product generating module is used for generating a team product and issuing the team product for sale.

The invention has the beneficial effects that: the BetaGo navigation department intelligent yield management robot system solves the rigid demand, replaces a manual operation mode, greatly improves the work performance, is full-automatic in management flow, and covers the whole business and the whole flow; by using the technology of flight price big data + RPA + AI prediction and yield management, automation and intellectualization of flight demand monitoring and prediction, competitor price monitoring and insights, coping strategies, pricing and inventory control and yield evaluation flow are provided for the yield management personnel of the flight department. In the revenue management work of the navigation department, the changes of market competition and market share are automatically monitored for revenue managers, the market demands are intelligently predicted through AI navigation data, a machine learning technology and a revenue management ESMR model algorithm, an optimal price adjustment and inventory control suggestion is recommended, the navigation department is helped to greatly improve the management efficiency, reduce the management cost and achieve the maximum revenue.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of the system architecture of the BetaGo navigation intelligent yield management robot of the present invention.

Fig. 2 is a schematic diagram of a fully automated end-to-end closed-loop yield management process of the BetaGo aus intelligent yield management robot of the present invention.

Fig. 3 is a schematic diagram of the technical architecture of the BetaGo navigation intelligent yield management robot of the present invention.

Fig. 4 is a service management range of the BetaGo boss intelligent yield management robot of the present invention.

Detailed Description

Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.

Referring to fig. 1, the present invention provides an intelligent yield management robot for a BetaGo airline department, including a yield plan management subsystem, a decision center subsystem, a competitive policy management subsystem, a cooperation policy management subsystem, a progress policy management subsystem, an active pricing management subsystem, and a team management subsystem;

the income plan management subsystem is used for making an operation income strategy;

the decision center subsystem is used for making and evaluating key performance indexes of regional income;

the competition strategy management subsystem is used for making competition strategies and evaluating the competition strategies;

the cooperation strategy management subsystem is used for making cooperation strategies and evaluating the cooperation strategies;

the progress strategy management subsystem is used for making and evaluating a progress strategy;

the active pricing management subsystem is used for making an active pricing strategy and evaluating the active pricing strategy according to the types of the passenger sources;

the team management subsystem is used for making a team strategy and evaluating the effect of the team strategy.

The income plan management subsystem comprises an integral target making module and a key OD flight segment image module;

the overall target making module is used for making an overall target according to the market;

the key OD flight segment portrait module is used for summarizing and sorting out key OD flight segments and generating flight segment portraits.

The decision center subsystem comprises a region OKR making module, a unified view module, a strategy selector and a region OKR evaluating module;

the region OKR formulation module comprises: setting key performance indicators of earnings of an area, wherein the area is divided into domestic and international;

the unified view module comprehensively unifies the views of the formulated area OKR;

the strategy selector makes strategy selection logic based on the integrated area OKR view and executes the strategy selection logic;

the region OKR assessment module is used for performing assessment analysis on the region OKR view.

The competition strategy management subsystem comprises a competition strategy formulation module, a freight rate change monitoring module and a competition scheme generation module;

the competition strategy making module is used for making an input competition strategy;

the freight rate change monitoring module is used for monitoring competitive information of the competitive flight department, the selling price of the airline and the attendance rate and progress;

the competition scheme generating module generates a competition scheme based on competition information.

The cooperation strategy management subsystem comprises a cooperation strategy making module, a cooperation scheme making module and a cooperation scheme monitoring module;

the cooperation strategy making module is used for making an input cooperation strategy;

the cooperation scheme making module is used for negotiating the headquarter cooperation scheme, inputting the headquarter cooperation scheme and making a cooperation freight rate scheme;

and the cooperation scheme monitoring module monitors competitive aviation in real time based on the cooperation freight rate scheme, and gives out early warning if the competitive aviation is not in the range of the cooperation freight rate scheme.

The progress strategy management subsystem comprises a progress strategy making module, a progress early warning module and a progress scheme generating module;

the progress strategy making module is used for making an entry progress strategy;

the progress early warning module is used for monitoring a progress strategy in real time and sending out early warning if the progress strategy is abnormal;

and the progress scheme generating module is used for generating a progress scheme based on the progress strategy.

The active pricing management subsystem comprises an active pricing strategy making module, an active pricing scheme generating module and a freight rate generating module;

the active pricing strategy making module is used for making an input active pricing strategy;

the active pricing scheme generating module generates an active pricing scheme based on an active pricing strategy;

and the freight rate generation module generates and releases the freight rate based on the active pricing scheme.

The team management subsystem comprises a team strategy making module, an automatic quotation logic parameter configuration module and a team generation module.

The team strategy making module is used for making an input team strategy;

the automatic quotation logic parameter configuration module is used for configuring a completion logic parameter based on a temporary inquiry and automatic quotation logic;

and the team product generating module is used for generating a team product and issuing the team product for sale.

The income planning management subsystem further comprises an overall strategy making module, an area flight segment target making module and an overall target strategy evaluation module;

the integral strategy making module is used for making an integral strategy according to the flight segment image;

the regional leg target making module is used for making a regional leg target based on the whole strategy planning;

and the overall target strategy evaluation module compares the actual operation result income data with the income opportunity to obtain an evaluation result.

The decision center subsystem further comprises a regional strategy making module, and the regional strategy making module is used for making regional strategies and carrying out strategy communication.

The competition strategy management subsystem further comprises a competition strategy analysis module, a competition strategy evaluation module and a competition strategy adjustment module;

the competition strategy analysis module is used for carrying out competition strategy analysis on competition information so as to provide the competition information to the competition scheme generation module;

the competition strategy evaluation module is used for evaluating and analyzing competition strategies;

and the competition strategy adjusting module is used for adjusting the competition strategy in real time according to the market.

The cooperation strategy management subsystem also comprises a cooperation strategy adjusting module which is used for adjusting the cooperation strategy in real time according to the market.

The progress strategy management subsystem also comprises a progress strategy analysis module, a progress strategy evaluation module and a progress strategy adjustment module;

and the progress strategy analysis module is used for carrying out communication analysis on the progress strategy.

The progress strategy evaluation module is used for evaluating and analyzing the progress strategy;

and the progress strategy adjusting module is used for adjusting the progress strategy in real time according to the market.

The active pricing management subsystem further comprises an active strategy evaluation module and an active strategy adjustment module;

the active strategy evaluation module is used for evaluating and analyzing the active strategy;

and the active strategy adjusting module is used for adjusting the active strategy in real time according to the market.

The team management subsystem also comprises a team strategy evaluation module and a team strategy adjustment module;

the team strategy evaluation module is used for evaluating and analyzing a team strategy;

and the team strategy adjusting module is used for adjusting the team strategy in real time according to the market.

In this embodiment, the seven major application subsystems of the revenue robot: many original processes and works of income management are offline manual modes, the core target and effect of the income beneficiary system are that all original offline manual key business processes are online, digitalized and automated, all numbers are input through a PC terminal, intermediate and final results are realized by business rules and algorithm products, and the seven subsystems are specifically referred to as figure 1 and explained as follows:

1. a revenue plan management subsystem:

and (3) overall strategy formulation: if a large airline company converts the original full-service airline company mode into an LCC (low cost) aviation + additional service mode, the yield management strategy pays more attention to the additional services and products, and third-party partners and ecological partners are vigorously developed, which account for more than 50-500 hundred million additional services in the whole yield;

and (3) overall policy evaluation: comparing actual operation result revenue data with revenue opportunities;

making and evaluating an overall target;

highlight OD/flight portrait;

2. a decision center subsystem:

the region OKR is established (key performance indicators of regional income are set, the region is divided into domestic and international, the international is further divided into australian new region, north american region, european region, south east asia region, korean region and the like, the domestic is divided into 7 big regions and the like), OKR is set as: market share, revenue growth rate, profit margin, airline seat availability, and the like.

Area OKR assessment (detection OKR is reached according to actual operation results);

a policy unification view;

a policy controller;

3. the competition strategy management subsystem:

competition strategy formulation (active and passive competition strategies of a specific market, how to follow price, how much to follow and the like);

monitoring the change of freight rate (monitoring the sale price, the attendance rate and the progress of a competitive aviation department, a airline and the like);

generating a competition scheme;

performing a competition measure;

evaluating a competition strategy;

4. the cooperation strategy management subsystem:

making a cooperation strategy;

making a cooperation scheme;

performing cooperative measures;

monitoring a cooperation scheme;

evaluating a cooperation strategy;

5. the progress strategy management subsystem:

making a progress strategy;

early warning of progress abnormity;

generating a progress scheme;

performing a progress measure;

evaluating a progress strategy;

6. the active pricing management subsystem:

managing the types of the customer sources;

making an active pricing strategy;

generating an active pricing scheme;

generating a sales promotion scheme;

evaluating an active pricing scheme;

7. a team management subsystem:

managing team strategies;

configuring automatic quotation logic parameters;

analyzing and calculating a team strategy;

evaluating the strategy effect of the team;

planning team product schemes;

the fully automated end-to-end closed loop yield management process, as shown in fig. 2, is described with the above seven subsystems:

and (3) optimal pricing strategy management: the dynamic pricing is decided according to various factors such as different time, market demand, actual supply, flight attributes, competition conditions and the like, the dynamic continuous pricing is mainly related to the strategy as follows: passenger-based classifications, passenger-based willingness to select, market-based sales including self-sales, overall market performance, competitor prices, etc., channel-based classifications, etc.

Model-based intelligent pricing calculation: in the process of ticket pricing inquiry, continuous pricing does not depend on a series of price points issued in advance, but generates the price optimal to the navigation department in the process of pricing inquiry:

the method comprises the steps that a ticket buying system (GDS, airline department direct sales) receives a shopping request, inquires about inventory Availability, calculates static prices for specified inventory, inquires whether the ticket buying system accords with dynamic pricing, requests a dynamic pricing engine of the airline department, selects an optimal pre-issued freight rate by the dynamic pricing engine, returns the pre-issued freight rate by the dynamic pricing engine, calculates and verifies according to the returned freight rate, and returns a dynamic pricing result by the ticket buying system.

Price auditing and releasing: because the continuous pricing engine adopts an active query mode, the existing mode that the price can only be valid after being issued to each channel first is broken through; in the aspect of price internal examination, a business party only needs to manage and examine the strategy, the model mechanism and the like, and does not need to examine each individual price. The whole process breaks through the conventional freight rate management mechanism, and reduces a plurality of intermediate links and development bottlenecks caused by inconsistent standards of external systems;

evaluating and optimizing the price and income effect: establishing an effect evaluation flow method, providing visual analysis evaluation support, providing strategy adjustment suggestions and model optimization according to market dynamic changes, getting through a strategy new establishment-evaluation-adjustment full flow, and referring to a specific technical architecture in FIG. 3; the service management scope of the BetaGo navigation department intelligent yield management robot is shown in figure 4.

The real high frequency of the home revenue management of the navigation department is just needed to be the automation and the intellectualization of the whole daily revenue management process, most of the current revenue management processes of the navigation department are manual, the BetaGo navigation department intelligent revenue management robot system of the invention solves the just needed problem, replaces the manual operation mode, greatly improves the work performance, has full automation of the management process, and covers the whole business and the whole process

By using the technology of flight price big data + RPA + AI prediction and yield management, automation and intellectualization of flight demand monitoring and prediction, competitor price monitoring and insights, coping strategies, pricing and inventory control and yield evaluation processes are provided for yield management personnel of a flight department;

in the revenue management work of the navigation department, the changes of market competition and market share are automatically monitored for revenue managers, the market demands are intelligently predicted through AI navigation data, a machine learning technology and a revenue management ESMR model algorithm, an optimal price adjustment and inventory control suggestion is recommended, the navigation department is helped to greatly improve the management efficiency, reduce the management cost and achieve the maximum revenue.

In conclusion, the automation and the intellectualization of the shipping department freight rate and income management process are realized by the innovative BetaGo aviation department intelligent income management robot; the freight rate management efficiency of the voyage enterprises is improved by 10 times, and the management cost is reduced by 50%; taking a large airline department as an example, the airline department has 200 persons for freight rate and revenue management in the past, but in the past, the airline department takes 6 hours per day to manually collect data from more than ten data sources, and the time spent on real freight rate and revenue analysis and decision making is only 10%; at present, by using the income robot, the system can automatically complete data collection, analysis and decision detection for the personnel within 10 minutes every day, and complex and repeated information collection and processing are carried out by the income robot, and freight rate and income working and management personnel spend real deep analysis and complex decision on the time of the personnel, so that the income robot improves the working efficiency by 10 times, and the management cost industry is reduced by 50%; meanwhile, the income robot system learns the market demand, change and competition situation in real time by means of navigation big data, knowledge map and experience of navigation experts and BetaGo deep robot learning technology, gives optimal price and cabin control decision, improves the income of navigation departments by more than 5%, and effectively meets the market and customer demands in time.

While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. An intelligent yield management robot for BetaGo navigation department is characterized in that,

the system comprises a revenue plan management subsystem, a decision center subsystem, a competition strategy management subsystem, a cooperation strategy management subsystem, a progress strategy management subsystem, an active pricing management subsystem and a team management subsystem;

the income plan management subsystem is used for making an operation income strategy;

the decision center subsystem is used for making and evaluating key performance indexes of regional income;

the competition strategy management subsystem is used for making competition strategies and evaluating the competition strategies;

the cooperation strategy management subsystem is used for making cooperation strategies and evaluating the cooperation strategies;

the progress strategy management subsystem is used for making and evaluating a progress strategy;

the active pricing management subsystem is used for making an active pricing strategy and evaluating the active pricing strategy according to the customer source types;

the team management subsystem is used for making a team strategy and evaluating the effect of the team strategy.

2. The BetaGo Nagas intelligent yield management robot of claim 1,

the income plan management subsystem comprises an integral target making module and a key OD flight segment image module;

the overall target making module is used for making an overall target according to the market;

the key OD flight segment portrait module is used for summarizing and sorting out key OD flight segments and generating flight segment portraits.

3. The BetaGo Nagas intelligent yield management robot of claim 1,

the decision center subsystem comprises a region OKR making module, a unified view module, a strategy selector and a region OKR evaluating module;

the region OKR formulation module comprises: setting key performance indicators of earnings of an area, wherein the area is divided into domestic and international;

the unified view module comprehensively unifies the views of the formulated area OKR;

the strategy selector makes strategy selection logic based on the integrated area OKR view and executes the strategy selection logic;

the region OKR assessment module is used for performing assessment analysis on the region OKR view.

4. The BetaGo Nagas intelligent yield management robot of claim 1,

the competition strategy management subsystem comprises a competition strategy formulation module, a freight rate change monitoring module and a competition scheme generation module;

the competition strategy making module is used for making an input competition strategy;

the freight rate change monitoring module is used for monitoring competitive information of the competitive flight department, the selling price of the airline and the attendance rate and progress;

the competition scheme generating module generates a competition scheme based on competition information.

5. The BetaGo navigation intelligent yield management robot of claim 1,

the cooperation strategy management subsystem comprises a cooperation strategy making module, a cooperation scheme making module and a cooperation scheme monitoring module;

the cooperation strategy making module is used for making an input cooperation strategy;

the cooperation scheme making module is used for negotiating the headquarter cooperation scheme, inputting the headquarter cooperation scheme and making a cooperation freight rate scheme;

and the cooperation scheme monitoring module monitors competitive aviation in real time based on the cooperation freight rate scheme, and gives out early warning if the competitive aviation is not in the range of the cooperation freight rate scheme.

6. The BetaGo Nagas intelligent yield management robot of claim 1,

the progress strategy management subsystem comprises a progress strategy making module, a progress early warning module and a progress scheme generating module;

the progress strategy making module is used for making an entry progress strategy;

the progress early warning module is used for monitoring a progress strategy in real time and sending out early warning if the progress strategy is abnormal;

and the progress scheme generating module is used for generating a progress scheme based on the progress strategy.

7. The BetaGo Nagas intelligent yield management robot of claim 1,

the active pricing management subsystem comprises an active pricing strategy making module, an active pricing scheme generating module and a freight rate generating module;

the active pricing strategy making module is used for making an input active pricing strategy;

the active pricing scheme generating module generates an active pricing scheme based on an active pricing strategy;

and the freight rate generation module generates and releases the freight rate based on the active pricing scheme.

8. The BetaGo navigation intelligent yield management robot of claim 1,

the team management subsystem comprises a team strategy making module, an automatic quotation logic parameter configuration module and a team generation module;

the team strategy making module is used for making an input team strategy;

the automatic quotation logic parameter configuration module is used for configuring a completion logic parameter based on a temporary inquiry and automatic quotation logic;

and the team product generating module is used for generating a team product and issuing the team product for sale.

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