Business footprint monitoring method based on business expansion

Abstract

The invention discloses a business footprint monitoring method based on business expansion, and relates to the technical field of business expansion, and the method comprises the following steps: a business end calls a map API in advance to mark business expansion nodes on a map, and connects the business expansion nodes according to a time sequence to form a continuous track line; serving as a service footprint track of the current service end; the service end collects service feature information in real time through the positioning terminal and transmits the service feature information to the server end. According to the invention, unreasonable links in a business process, such as unreasonable visiting route planning and too long or too short staying time at a client, can be found, and targeted optimization is carried out, so that the overall efficiency of business operation is improved, a manager can conveniently and timely master the working state of business personnel, and the working efficiency of the business personnel is improved. The problems of information lag, unsmooth communication and the like in a traditional management mode are avoided, and the management efficiency and the timeliness of decision making are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of business development, and in particular to a business footprint monitoring method based on business development. Background Art

[0002] Business development refers to the relevant technical means and technical knowledge involved in the process of business development activities (such as opening up new markets, launching new products or services, entering new business areas, etc.) of an enterprise or organization. These technologies can be technologies that support market research, customer relationship management, product research and development and innovation, channel development and other business development links.

[0003] At present, business development has the following main shortcomings: information islands among development personnel, delayed decision-making, waste of resources, high operating costs, lack of real-time data support, and inability to share information between development personnel in a timely manner, resulting in delayed decision-making. For example, the development department goes out to develop business every day, running around for various projects and lack of effective information exchange between companies, which may lead to overlapping and redundant businesses, affecting the company's operating efficiency and wasting manpower costs. In addition, information islands may also lead to data inconsistency, affect the accuracy of internal management, and even cause customer dissatisfaction and affect the company's reputation, because a large amount of repetitive work is time-consuming and inefficient, which may lead to a decline in employee morale in the long run and fail to retain outstanding talents.

[0004] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In view of the problems in the related art, the present invention proposes a business footprint monitoring method based on business expansion to overcome the above technical problems existing in the existing related art.

[0006] The technical solution of the present invention is achieved in this way:

[0007] A business footprint monitoring method based on business expansion includes the following steps:

[0008] The business end calls the map API in advance to mark the business expansion nodes on the map, and connects the business expansion nodes in chronological order to form a continuous track line as the business footprint track of the current business end;

[0009] The business end collects business characteristic information in real time through the positioning terminal and transmits the business characteristic information to the service end;

[0010] The server regards the nodes that meet the preset time period as trajectory nodes according to the business feature information, and connects the trajectory nodes to form a continuous identification line as the identification footprint trajectory of the current business end;

[0011] The server compares the identification footprint trajectory with the business footprint trajectory, and immediately triggers an alert push for abnormal trajectories according to the set alert rules, which includes the following steps:

[0012] If the current identification footprint trajectory and the business footprint trajectory meet the overlap threshold, it means that the current identification footprint trajectory is a normal trajectory;

[0013] If the current identification footprint trajectory and the business footprint trajectory do not meet the overlap threshold, it means that the current identification footprint trajectory is an abnormal trajectory.

[0014] Furthermore, the method further comprises the following steps:

[0015] The server visualizes the business footprint and identification footprint.

[0016] Furthermore, the business end pre-calls the map API to mark the business expansion node on the map, including the following steps:

[0017] Detect the business expansion nodes marked on the map, including:

[0018] If it is detected within the distance threshold that a business expansion node has been marked on the map in advance by a business end, an information box prompt will pop up to the current business end, and it will be determined whether to continue marking.

[0019] Further, the determining whether to continue labeling comprises the following steps:

[0020] If the current business end determines to continue marking, the current business expansion node will be marked differently, and an overlapping warning reminder will be pushed to the server.

[0021] Furthermore, the business characteristic information includes: a unique identification of the business personnel, a timestamp, geographic location coordinates and device status information, wherein the device status information includes: battery power or network connection status.

[0022] Furthermore, the server side selects nodes that meet the preset time period as trajectory nodes according to the service feature information, and further includes the following steps:

[0023] The server generates trajectory nodes based on the access credentials uploaded by the current business end, and connects the trajectory nodes to form a continuous identification line.

[0024] Furthermore, the identification footprint track and the business footprint track are compared, including the following steps:

[0025] The adjacent business expansion nodes are taken as the necessary points in the business footprint trajectory in advance, and the adjacent necessary points are taken as a trajectory segment, that is, the business footprint trajectory is divided into multiple continuous trajectory segments, and the length information and direction information of the trajectory segments are calibrated to generate overlapping thresholds;

[0026] Filter the trajectory nodes that meet the must-pass points in the footprint trajectory as identification points, and take the adjacent identification points as a trajectory segment, that is, identify multiple continuous identification segments of the footprint trajectory, and calibrate the length information and direction information of the identification segments respectively;

[0027] The length information and direction information of the identification segment are compared with the overlap threshold respectively, where:

[0028] If any of the length information and direction information of the identification segment does not meet the overlap threshold, it means that the current identification footprint trajectory is an abnormal trajectory.

[0029] Furthermore, the comparison of the identification footprint track and the business footprint track also includes the following steps:

[0030] The server stores the identification footprint and business footprint in a relational database.

[0031] Beneficial effects of the present invention:

[0032] The present invention is based on a business footprint monitoring method for business expansion. The business expansion nodes are marked on the map by the business end calling the map API in advance, and the business expansion nodes are connected to form a continuous trajectory line according to the time sequence as the business footprint trajectory of the current business end. The business end collects business feature information in real time through the positioning terminal, and transmits the business feature information to the server end. The server end uses the business feature information to select nodes that meet the preset time period as trajectory nodes, and connects the trajectory nodes to form a continuous identification line as the identification footprint trajectory of the current business end. The server end compares the identification footprint trajectory with the business footprint trajectory, and immediately triggers the warning push for abnormal trajectories according to the set warning rules, thereby realizing business footprint monitoring, which can not only find out the existence of abnormal trajectories in the business process, but also can find out the existence of abnormal trajectories in the business process. Unreasonable links, such as unreasonable planning of visiting routes, too long or too short staying time at the customer's place, etc., are eliminated and targeted optimization is carried out to improve the overall efficiency of business operations. It is also convenient for managers to grasp the work dynamics of business personnel in a timely manner, avoiding problems such as information lag and poor communication in traditional management methods, greatly improving management efficiency and timeliness of decision-making. At the same time, managers can reasonably allocate resources according to the location information and work arrangements of business personnel to ensure that customer needs can be responded to and met in a timely manner, thereby improving customer service satisfaction and quality. Secondly, by optimizing business processes, improving work efficiency and resource utilization, enterprises can reduce operating costs, such as reducing unnecessary travel expenses, improving the efficiency of human resource utilization, etc., to maximize economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 It is a flow chart of a business footprint monitoring method based on business expansion according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0036] According to an embodiment of the present invention, a business footprint monitoring method based on business expansion is provided.

[0037] like Figure 1 As shown, the business footprint monitoring method based on business expansion according to an embodiment of the present invention includes the following steps:

[0038] Step S1, the business end calls the map API in advance to mark the business expansion nodes on the map, and connects the business expansion nodes in chronological order to form a continuous track line as the business footprint track of the current business end;

[0039] Among them, the business expansion nodes marked on the map are detected, including:

[0040] If it is detected within the distance threshold that a business expansion node has been marked on the map in advance by a business end, an information box prompt will pop up to the current business end, and it will be determined whether to continue marking.

[0041] Wherein, the step of determining whether to continue labeling comprises the following steps:

[0042] If the current business end determines to continue marking, the current business expansion node will be marked differently, and an overlapping warning reminder will be pushed to the server.

[0043] Specifically, when a business person is marking a location, if the newly marked location is within the distance threshold of other people's marked locations, which can be set according to the map scale and actual needs; the business end pops up a prompt box. The prompt box displays the list of other people who have marked this location or nearby locations, the marking time and other information, and asks whether to continue marking. If you continue marking, the business end changes the color and icon to reflect the overlap, and pushes an overlap warning reminder to the server.

[0044] At the same time, when the server receives the early warning reminder, it sets a click event on the marked point. When the overlapping mark of the marked point is clicked, a detailed information box pops up. The information box displays the names of all the people who marked this place, the marking time, and each person's notes on this place (if any) in the form of a list. The server can clearly understand the details of each mark.

[0045] Step S2, the service end collects service feature information in real time through the positioning terminal and transmits the service feature information to the service end;

[0046] In this technical solution, the positioning terminal can be a smart phone or a GPS positioning terminal, which has a built-in GPS chip that can receive satellite signals and determine accurate longitude and latitude coordinates.

[0047] At the same time, business characteristic information includes: unique identification of business personnel, such as employee number, timestamp, geographic location coordinates, and device status information, such as battery power or network connection status.

[0048] Specifically, the service feature information is transmitted to the server, including: the embedded mobile network of the positioning terminal transmits the collected service feature information to the server;

[0049] When the present technical solution is applied, when the positioning terminal is in a situation where the network signal is poor, the positioning terminal can temporarily store the data locally and automatically upload it after the network is restored, thereby ensuring the integrity of the data.

[0050] Step S3, the server regards the nodes that meet the preset time period as trajectory nodes according to the service feature information, and connects the trajectory nodes to form a continuous identification line as the identification footprint trajectory of the current service end;

[0051] This technical solution also includes the following steps:

[0052] Step S301: The server generates a track node according to the access credentials uploaded by the current business end, and connects the track nodes to form a continuous identification line.

[0053] In this technical solution, for the visit credentials uploaded by the above-mentioned business end, the business end will visit the customer after expanding to the community and upload the credentials with preset content, and the server will automatically mark the location.

[0054] Step S4, the server compares the identification footprint trajectory with the business footprint trajectory, and immediately triggers an early warning push for abnormal trajectories according to the set early warning rules, which includes the following steps:

[0055] Step S401, if the current identification footprint track and the business footprint track meet the overlap threshold, it means that the current identification footprint track is a normal track;

[0056] Step S402, if the current identification footprint track and the business footprint track do not meet the overlap threshold, it means that the current identification footprint track is an abnormal track;

[0057] This technical solution compares the identification footprint track with the business footprint track, including the following steps:

[0058] The adjacent business expansion nodes are taken as the necessary points in the business footprint trajectory in advance, and the adjacent necessary points are taken as a trajectory segment, that is, the business footprint trajectory is divided into multiple continuous trajectory segments, and the length information and direction information of the trajectory segments are calibrated to generate overlapping thresholds;

[0059] Filter the trajectory nodes that meet the must-pass points in the footprint trajectory as identification points, and take the adjacent identification points as a trajectory segment, that is, identify multiple continuous identification segments of the footprint trajectory, and calibrate the length information and direction information of the identification segments respectively;

[0060] The length information and direction information of the identification segment are compared with the overlap threshold respectively, where:

[0061] If any of the length information and direction information of the identification segment does not meet the overlap threshold, it means that the current identification footprint trajectory is an abnormal trajectory;

[0062] This technical solution immediately triggers the warning push according to the set warning rules, as follows:

[0063] Push SMS messages, including: integrating with SMS service providers, calling their APIs, and sending SMS notifications containing key information of abnormal trajectories (such as the name of the business personnel, the time and location of the abnormality, the type of abnormality, etc.) according to the mobile phone number list of the recipients.

[0064] Or the server can push the message, including: generating an internal message for the management personnel, detailing the abnormal trajectory situation, and the management personnel can view the details and take corresponding measures.

[0065] Step S5: The server visualizes the business footprint trajectory and the identification footprint trajectory.

[0066] In this technical solution, the server provides managers with an intuitive user interface. The interface uses map visualization technology (such as Baidu Map API and Amap API) to mark the location information of business personnel on the map in real time, and use different colors and icons to distinguish different business personnel or work statuses.

[0067] In addition, the server also provides a track playback function. Managers can select specific business personnel and time periods to view the dynamic playback of their historical tracks, so as to gain a deeper understanding of the work process of business personnel. At the same time, the interface also displays charts of data analysis results (such as bar charts and line charts) to help managers intuitively understand the work efficiency, activity scope and other information of business personnel.

[0068] Step S6: The server stores the identification footprint track and the business footprint track in a relational database.

[0069] After receiving the identification footprint track and business footprint track, the server stores it in a relational database, such as MySQL or a non-relational database, such as MongoDB. The database design includes employee information tables, trajectory data tables, and regional information tables, which are used to store basic information of business personnel, trajectory data, and related geographic area information.

[0070] At the same time, the stored data is backed up regularly to prevent data loss, and data optimization technology is used to improve data reading and writing efficiency to meet data storage and query needs.

[0071] In summary, with the help of the above technical solution of the present invention, the following effects can be achieved:

[0072] The present invention calls the map API in advance by the business end to mark the business expansion nodes on the map, and connects the business expansion nodes in time sequence to form a continuous trajectory line as the business footprint trajectory of the current business end. The business end collects business feature information in real time through the positioning terminal, and transmits the business feature information to the server end. The server end uses the business feature information to select nodes that meet the preset time period as trajectory nodes, and connects the trajectory nodes to form a continuous identification line as the identification footprint trajectory of the current business end. The server end compares the identification footprint trajectory with the business footprint trajectory, and immediately triggers an early warning push for abnormal trajectories according to the set early warning rules, thereby realizing business footprint monitoring, which can not only discover unreasonable links in the business process, such as visitor It can also solve problems such as unreasonable visit route planning, too long or too short stay at the customer's place, etc., and carry out targeted optimization to improve the overall efficiency of business operations. It also makes it convenient for managers to grasp the work dynamics of business personnel in a timely manner, avoiding problems such as information lag and poor communication in traditional management methods, and greatly improving management efficiency and timeliness of decision-making. At the same time, managers can reasonably allocate resources according to the location information and work arrangements of business personnel to ensure that customer needs can be responded to and met in a timely manner, thereby improving customer service satisfaction and quality. Secondly, by optimizing business processes, improving work efficiency and resource utilization, enterprises can reduce operating costs, such as reducing unnecessary travel expenses, improving the efficiency of human resource utilization, etc., to maximize economic benefits.

[0073] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. After considering the disclosure of the specification and the examples, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and the examples are only regarded as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

[0074] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A business footprint monitoring method based on business expansion, characterized in that: The following steps are involved: The business end calls the map API in advance to mark the business expansion nodes on the map, and connects the business expansion nodes in chronological order to form a continuous track line as the business footprint track of the current business end; The business end collects business characteristic information in real time through the positioning terminal and transmits the business characteristic information to the service end; The server regards the nodes that meet the preset time period as trajectory nodes according to the business feature information, and connects the trajectory nodes to form a continuous identification line as the identification footprint trajectory of the current business end; The server compares the identification footprint trajectory with the business footprint trajectory, and immediately triggers an alert push for abnormal trajectories according to the set alert rules, which includes the following steps: If the current identification footprint trajectory and the business footprint trajectory meet the overlap threshold, it means that the current identification footprint trajectory is a normal trajectory; If the current identification footprint trajectory and the business footprint trajectory do not meet the overlap threshold, it means that the current identification footprint trajectory is an abnormal trajectory.

2. The business footprint monitoring method based on business development according to claim 1 is characterized in that: The following steps are also included: The server visualizes the business footprint and identification footprint.

3. The business footprint monitoring method based on business development according to claim 1 is characterized in that: The business end calls the map API in advance to mark the business expansion node on the map, including the following steps: Detect the business expansion nodes marked on the map, including: If it is detected within the distance threshold that a business expansion node has been marked on the map in advance by a business end, an information box prompt will pop up to the current business end, and it will be determined whether to continue marking.

4. The business footprint monitoring method based on business development according to claim 3 is characterized in that: The step of determining whether to continue labeling comprises the following steps: If the current business end determines to continue marking, the current business expansion node will be marked differently, and an overlapping warning reminder will be pushed to the server.

5. The business footprint monitoring method based on business development according to claim 1 is characterized in that: The business feature information includes: a unique identification of the business personnel, a timestamp, geographic location coordinates and device status information, wherein the device status information includes: battery power or network connection status.

6. The business footprint monitoring method based on business development according to claim 1 is characterized in that: The server, according to the service feature information, selects nodes that meet the preset time period as trajectory nodes, and further comprises the following steps: The server generates trajectory nodes based on the access credentials uploaded by the current business end, and connects the trajectory nodes to form a continuous identification line.

7. The business footprint monitoring method based on business development according to claim 1 is characterized in that: The identification footprint track and the business footprint track are compared, including the following steps: The adjacent business expansion nodes are taken as the necessary points in the business footprint trajectory in advance, and the adjacent necessary points are taken as a trajectory segment, that is, the business footprint trajectory is divided into multiple continuous trajectory segments, and the length information and direction information of the trajectory segments are calibrated to generate overlapping thresholds; Filter the trajectory nodes that meet the must-pass points in the footprint trajectory as identification points, and take the adjacent identification points as a trajectory segment, that is, identify multiple continuous identification segments of the footprint trajectory, and calibrate the length information and direction information of the identification segments respectively; The length information and direction information of the identification segment are compared with the overlap threshold respectively, where: If any of the length information and direction information of the identification segment does not meet the overlap threshold, it means that the current identification footprint trajectory is an abnormal trajectory.

8. The business footprint monitoring method based on business development according to claim 7 is characterized in that: The identification footprint track and the business footprint track are compared, and the following steps are also included: The server stores the identification footprint and business footprint in a relational database.

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