CN111815364A - Express industry information processing method, device and system - Google Patents

Abstract

The embodiment of the application discloses an information processing method, device and system for an express industry, wherein the method comprises the following steps: the method comprises the steps of receiving clue information, wherein the clue information comprises client information of potential clients, judging whether the clue information exists by using a preset clue database, judging whether the verified clue information is correct if the clue information does not exist, marking the clue information as an effective clue if the clue information is correct, sending the effective clue to a terminal associated with a worker according to a preset matching model, receiving visit information uploaded by the worker through the associated terminal and aiming at the effective clue, storing the visit information, extracting client demand information in the visit information, and generating a quotation scheme according to the corresponding relation between the client demand information and a preset quotation rule. Compared with the prior art, the method and the device can store and process the information in the development process of the hidden bus, and ensure the validity of the information.

Description

Express industry information processing method, device and system

technical field

The present application relates to the technical field of logistics management, in particular to an information processing method, device and system in the express delivery industry.

Background technique

In the existing logistics industry, there is no management of the potential customer development process, and it only focuses on developing potential customers, marketing customers, and obtaining customer information, but does not pay much attention to the obtained customer information itself. When the obtained customer information already exists, not the potential customer information, or even the obtained customer information is wrong, such as the address information does not exist, the phone number cannot be reached, etc., these invalid customer information will waste a lot of staff time. , resulting in low efficiency in potential customer development.

In addition, the existing potential customer development process is only recorded offline, and the traces and records left by the sales process will also be replaced by department personnel, resulting in the loss of sales process information, and each node in customer marketing has no query and monitoring. Data is not conducive to the review of the marketing process.

SUMMARY OF THE INVENTION

The present application provides an information processing method, device and system in the express delivery industry, which can store and process information in the process of potential customer development and ensure the validity of the information.

This application provides the following solutions:

A first aspect provides a method for processing information in the express delivery industry, the method comprising:

receiving lead information, the lead information including customer information of the potential customer;

Use a preset clue database to determine whether the clue information already exists;

If not, judge whether the verified clue information is correct, and if so, mark it as a valid clue;

Send the valid clue to the terminal associated with the worker according to the preset matching model;

The receiving staff uploads the visit information for the valid clue through the associated terminal, and stores the visit information;

The customer demand information in the visit information is extracted, and a quotation plan is generated according to the corresponding relationship between the customer demand information and the preset quotation rule.

Preferably, the method further includes:

Extracting the customer name in the contract formulated according to the quotation plan, judging whether the customer name is the same as the customer name in the existing contract in the contract database, if not, determining that the contract is valid;

At least one time node in the contract is extracted, and according to the current time and the time node, it is judged whether it has timed out, and if so, a reminder is issued.

Further, the time node includes at least one of delivery time, delivery time and payment collection time.

Further, the customer information includes phone number, customer name, address information, shipping potential, type and industry customer.

Preferably, the judging whether the verified clue information is correct includes:

Extract the phone number in the customer information, determine whether the digits of the phone number are correct, if so, automatically dial the phone number to verify whether the phone number is valid;

Extracting address information in customer information, standardizing the address information using a preset regular expression, generating standardized address information, and comparing the standardized address information with a preset address information database to verify whether the address information is correct.

Preferably, sending valid clues to the terminal associated with the staff member according to the preset matching model includes:

extracting the shipping potential in the valid leads, the shipping potential being used to indicate the amount the customer pays for shipping each month;

Determine whether the delivery potential value in the valid clue is greater than the preset value, if so, send the valid clue to the terminal associated with the first-level staff, if not, send the valid clue to the second The terminal associated with the level worker.

Further, the customer demand information includes the customer's mainstream kilogram segment, the main flow of goods, the customer's expected price, value-added services and terminal services;

The quotation scheme includes quotation, provision of value-added services, product types and provision of terminal services.

A second aspect of the present application provides an information processing device for the express delivery industry, the device comprising:

a receiving unit, configured to receive clue information, where the clue information includes customer information of potential customers;

a verification unit, configured to use a preset clue database to determine whether the clue information already exists;

a validity judging unit, configured to judge whether the verified clue information is correct, and if so, mark it as a valid clue;

a sending unit, configured to send the valid clue to the terminal associated with the staff member according to a preset matching model;

an input unit, configured to receive the visiting information for the valid clues uploaded by the staff through the associated terminal, and store the visiting information;

The generating unit is configured to extract the customer demand information in the visit information, and generate a quotation plan according to the corresponding relationship between the customer demand information and the preset quotation rules.

The device also includes:

A contract determination unit, used for extracting the customer name in the contract formulated according to the quotation scheme, judging whether the customer name is the same as the customer name in the existing contract in the contract database, and if not, determining that the contract is valid;

The reminding unit is used for extracting at least one time node in the contract, and judges whether it has timed out according to the current time and the time node, and if so, sends out a reminder.

A third aspect of the present application provides a computer system, the system comprising:

one or more processors; and

A memory associated with the one or more processors, the memory is used to store program instructions, the program instructions, when read and executed by the one or more processors, perform the above-mentioned method.

According to the specific embodiments provided by the application, the application discloses the following technical effects:

In this application, by receiving the clue information, using the preset clue database to verify the clue information, screening out the existing clue information and the clue information of the existing contract customers, avoiding the repeated existence of the clue information, and checking the verified clue information. Validity judgment, obtain valid clue information, avoid the obtained clue information is wrong and invalid, so that the staff does not have to waste time on invalid clue information, improve the efficiency of potential customer development, in addition, through the preset matching model. The terminal associated with the staff sends valid clue information, the staff visits the customer according to the valid clue to obtain the visit information, uploads and stores the visit information through the terminal, confirms the customer demand information according to the visit information, and generates a quotation plan according to the customer demand information, In this way, the loss of sales process information is avoided, so that each node in customer marketing can generate data that can be queried and monitored, which is beneficial to the review of the marketing process.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the accompanying drawings required in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the present application. In the embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

1 shows a flowchart of the method for processing information in the express delivery industry provided in Embodiment 1 of the present application;

FIG. 2 shows a structural diagram of an information processing device for the express delivery industry provided in Embodiment 2 of the present application;

FIG. 3 shows a structural diagram of a computer system provided by Embodiment 3 of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of this application.

As mentioned in the background art, the existing logistics industry does not manage the potential customer development process, and only pays attention to developing potential customers, marketing customers, and obtaining customer information. The customer information is processed and distributed to the staff. When the obtained customer information already exists, not the potential customer information, or even the obtained customer information is wrong, such as the address information does not exist, the phone number cannot be reached, etc., these are invalid A large amount of customer information will waste a lot of staff time, resulting in low efficiency in potential customer development.

In addition, the previous potential customer development process was only recorded offline. The traces and records left by the sales process will also be replaced by department personnel, resulting in the loss of sales process information, and each node in customer marketing does not generate data that can be queried and monitored. , is not conducive to the review of the marketing process.

Therefore, this application proposes an information processing method for the express delivery industry. By receiving clue information, using a preset clue database to verify the clue information, screening out the existing clue information and the clue information of the existing contract customers, and avoiding the clue information Repeated existence, the validity of the verified clue information is judged, and valid clue information is obtained to avoid the obtained clue information being wrong and invalid, so that the staff does not have to waste time on invalid clue information, and improve the efficiency of potential customer development , send valid clue information to the terminal associated with the staff according to the preset matching model, the staff will visit the customer according to the valid clue to obtain the visit information, upload and store the visit information through the terminal, confirm the customer demand information according to the visit information, and confirm the customer demand information according to the visit information. The demand information generates a quotation plan, thereby avoiding the loss of information in the sales process, enabling each node in the customer marketing to generate data that can be queried and monitored, which is conducive to the review of the marketing process.

Example 1

The embodiments of the present application provide a method for processing information in the express industry. It is exemplified that the method is configured in a device for processing information in the express industry. The device can be applied to any computer device, so that the computer device can execute information on the express industry. Approach.

As shown in Figure 1, the above method includes:

S11. Receive clue information, where the clue information includes customer information of potential customers;

Specifically, the computer device receives the entered clue information, and the clue information can be internal clue information or external clue information, wherein the internal clue information refers to the clue information entered by the courier within the company, and the external clue information refers to the information from the peers, Lead information obtained by e-commerce and suppliers.

S12, using a preset clue database to determine whether the clue information already exists;

A clue database is preset, and the clue database stores the existing clue information and the clue information of the existing contract customers. The clue database is used to verify the received clue information, and the existing clue information and the clue information of the existing contract customers are filtered out. , do not repeat the entry of clue information.

S13, if no, determine whether the verified clue information is correct, and if so, mark it as a valid clue;

The clues are not completely valid. Some clues may be the wrong phone number or the wrong address information. Therefore, it is necessary to judge the validity of the verified clues to determine whether the clue information is correct, and then screen to obtain valid clues.

S14. Send the valid clue to the terminal associated with the staff member according to a preset matching model;

Send valid clues to the terminals associated with the staff according to a preset matching model. The preset matching model may be to send valid clues to the terminals associated with staff in the corresponding location area according to the address information in the valid clues, or it may be According to the delivery potential in the effective clues, the effective clues are sent to the terminals associated with different levels of staff, so as to accurately send out the effective clues.

S15, the receiving staff uploads the visit information for the valid clue through the associated terminal, and stores the visit information;

After receiving the valid clues, the staff will visit the customers according to the valid clues, so as to collect the visit information. The visit information usually includes the logistics mode, delivery potential, mainstream kilogram segment, current logistics, logistics decision maker, decision maker telephone and Customer pain points, these visit information will be uploaded and stored by the staff through the associated terminal, so as to realize the online storage of the visit information. For each visit of the same customer, a visit record will be generated, and the staff can click the visit record in the sales log by clicking the visit record. Looking at the details of this visit, the shipping potential is the amount a customer pays for shipping each month.

S16. Extract the customer demand information in the visit information, and generate a quotation plan according to the corresponding relationship between the customer demand information and the preset quotation rule.

The customer demand information includes the customer's mainstream kilogram segment, the main flow of goods, the customer's expected price, value-added services and terminal services. According to the corresponding relationship between the customer demand information and the preset quotation rules, a quotation plan is generated. If the mainstream kilogram segment is different, the discount will be given. Different, the goods are sent to remote areas and to Jiangsu, Zhejiang and Shanghai, the discounts are different, the selected value-added services are different, the discounts are different, the selected terminal services are different, and the discounts are different. When the customer demand information is extracted Then, according to the specific demand content in the customer demand information and the quotation rules corresponding to the specific demand content, a quotation plan is generated.

Preferably, the method further includes:

S17, extracting the customer name in the contract formulated according to the quotation scheme, and judging whether the customer name is the same as the customer name in the existing contract in the contract database, if not, determining that the contract is valid;

After formulating the contract according to the quotation plan, extract the customer name in the contract, compare the customer name with the customer name in the existing contract in the contract database, and judge whether there is the same one. , the contract is valid, and after confirming that the contract is valid, the lead information of the customer who signed the contract will be updated to the lead database to prevent duplication of the entered lead information.

S18: Extract at least one time node in the contract, and judge whether it has timed out according to the current time and the time node, and if so, issue a reminder.

There will be several time nodes in the contract, such as delivery time, delivery time, and payment collection time. The above time nodes are monitored in real time, and whether it has timed out is judged according to the current time and the time node, and a reminder will be issued when the time expires.

Further, the time node includes at least one of delivery time, delivery time and payment collection time.

In this embodiment, according to the delivery time specified in the contract, the delivery is reminded to ensure the timeliness of delivery; according to the specified delivery time, it is judged whether it is overtime. Reminders will be sent out at the time of payment, so that the staff can timely notify the customer to pay the payment.

Wherein, the customer information includes phone number, customer name, address information, shipping potential, type and industry customer.

The phone number includes a mobile phone number or a fixed number. You can fill in one of the two. The delivery potential refers to the amount that the customer pays for the monthly delivery. For example, the delivery potential can be 3000-5000 (yuan/month), 5000-10000 (yuan/month), types include express delivery, LTL and vehicle, and industry customers refer to the industries where customers are located, such as food industry, toy industry, apparel industry and fresh food industry.

The preset database stores the existing leads and the leads of the existing contract customers, compares the received leads with the leads in the database, filters out the existing leads, and filters out the existing contract customers according to the customer name in the lead. Clues, get verified clues.

The judging whether the verified clue information is correct includes:

Extract the phone number in the customer information, determine whether the digits of the phone number are correct, if so, automatically dial the phone number to verify whether the phone number is valid;

In the phone number, the mobile phone number is 11 digits, and the landline number is 7 or 8 digits. By judging whether the digits of the extracted phone number are correct, the phone number is initially screened. If the digits of the phone number are correct, the phone number is automatically dialed to determine whether it can be answered. to avoid the occurrence of empty numbers, so as to verify whether the phone number is valid.

Extracting address information in customer information, standardizing the address information using a preset regular expression, generating standardized address information, and comparing the standardized address information with a preset address information database to verify whether the address information is correct.

Sending valid clues to the terminal associated with the staff according to the preset matching model includes:

extracting the shipping potential in the valid leads, the shipping potential being used to indicate the amount the customer pays for shipping each month;

Determine whether the delivery potential value in the valid clue is greater than the preset value, if so, send the valid clue to the terminal associated with the first-level staff, if not, send the valid clue to the second The terminal associated with the level worker.

Exemplarily, the delivery potential in the clue can be set to 3000-5000 (yuan/month), 5000-10000 (yuan/month), and 10000-20000 (yuan/month), etc. The default value is set to 10000 (yuan/month). /month), send leads with delivery potential greater than 10,000 (yuan/month) to the first-level staff, and send leads with delivery potential not greater than 10,000 (yuan/month) to the second-level staff. Different personnel levels can send effective leads. The higher the level, the greater the delivery potential of the leads sent to them, which can serve customers more targetedly and improve customer experience.

The customer needs include the customer's mainstream kilogram segment, the main flow of goods, the customer's expected price, value-added services and terminal services;

Value-added services include quotation and transportation, safe packaging, signing of receipts, shipping confidentiality, payment collection, etc., and terminal services include self-pickup and delivery.

The quotation scheme includes quotation, provision of value-added services, product types and provision of terminal services.

The quotation includes discounts on the whole network, after-the-fact discounts and line discounts. The discount method can be selected according to the expected price of the customer, and the quotation can be determined. The value-added service can be selected according to the value-added service in the customer's demand, such as the receipt of the receipt and the shipping fee in the customer's demand. Confidentiality, collection of payment, in order to meet customer needs, providing value-added services is to sign the receipt, keep freight confidential, and collect payment on behalf of the customer. The delivery of sporadic goods will result in high transportation costs during the period. LTL is relative to the whole vehicle. In actual market operations, the division between the LTL and the whole vehicle is basically based on whether it can be filled with one vehicle. , providing end services including self-pickup and delivery not upstairs, also in order to meet customer needs, providing end services is usually consistent with the end services in customer needs.

Example 2

Corresponding to the above method, an embodiment of the present application provides an information processing device for the express delivery industry. As shown in FIG. 2 , the device includes:

a receiving unit 21, configured to receive clue information, where the clue information includes customer information of potential customers;

The clue information can be internal clue information or external clue information. The internal clue information refers to the clue information entered by the courier of the company, and the external clue information refers to the clue information obtained from peers, e-commerce and suppliers.

a verification unit 22, configured to use a preset clue database to determine whether the clue information already exists;

A clue database is preset, and the clue database stores the existing clue information and the clue information of the existing contract customers. The verification unit 22 uses the clue database to verify the received clue information, and filters out the existing clue information and existing contracts. The customer's lead information, do not repeatedly enter the lead information.

A validity judgment unit 23, configured to judge whether the verified clue information is correct, and if so, mark it as a valid clue;

The clues are not completely valid, and some clues may be wrong phone numbers or wrong address information. Therefore, the validity judgment unit 23 is required to judge the validity of the verified clues to determine whether the clue information is correct, and the screening results are valid. clue.

a sending unit 24, configured to send the valid clue to the terminal associated with the staff member according to a preset matching model;

The sending unit 24 sends a valid clue to the terminal associated with the staff member according to a preset matching model. The preset matching model may be to send a valid clue to the terminal associated with the staff member in the corresponding area according to the address information in the valid clue, or it may be: According to the delivery potential in the effective clues, the effective clues are sent to the terminals associated with different levels of staff, so as to accurately send out the effective clues.

The input unit 25 is configured to receive the visit information uploaded by the staff through the associated terminal for the valid clue, and store the visit information;

After receiving the valid clues, the staff will visit the customers according to the valid clues, so as to collect the visit information. The visit information usually includes the logistics mode, delivery potential, mainstream kilogram segment, current logistics, logistics decision maker, decision maker telephone and Customer pain points, these visit information will be uploaded to the input unit 25 by the staff through the associated terminal for storage, so as to realize the online storage of the visit information. For each visit of the same customer, a visit record will be generated, and the staff can click the sales log by clicking the sales log. See the visit log here to see the details of the visit.

The generating unit 26 is configured to extract the customer demand information in the visit information, and generate a quotation plan according to the corresponding relationship between the customer demand information and the preset quotation rules.

The customer demand information includes the customer's mainstream kilogram segment, the main flow of goods, the customer's expected price, value-added services and terminal services. According to the corresponding relationship between the customer demand information and the preset quotation rules, a quotation plan is generated. If the mainstream kilogram segment is different, the discount will be given. Different, if the goods are sent to remote areas and to Jiangsu, Zhejiang and Shanghai, the discounts are different, the value-added services selected are different, the discounts are different, the end services selected are different, and the discounts are different. The generating unit 26 extracts the customer. After the demand information is obtained, a quotation plan is generated according to the specific demand content in the customer demand information and the quotation rules corresponding to the specific demand content.

The device also includes:

The contract determination unit 27 is used to extract the customer name in the contract formulated according to the quotation scheme, and judge whether the customer name is the same as the customer name in the existing contract in the contract database, and if not, determine that the contract is valid;

After the contract is formulated according to the quotation plan, the contract determination unit 27 extracts the customer name in the contract, compares the customer name with the customer name in the existing contracts in the contract database, and judges whether there is the same one. Invalid, if not, the contract is valid, after confirming that the contract is valid, the lead information of the customer who signed the contract will be updated to the lead database to prevent the duplication of the entered lead information.

The reminding unit 28 is configured to extract at least one time node in the contract, and judge whether it has timed out according to the current time and the time node, and if so, issue a reminder.

There are several time nodes in the contract, such as delivery time, delivery time and payment time. The reminding unit 28 monitors the above time nodes in real time, judges whether it has timed out according to the current time and the time nodes, and issues a reminder when the time expires.

The embodiments of the present application provide an apparatus for processing information in the express industry, which belongs to the same application concept as the method for processing information in the express industry provided in the embodiments of the present application, can execute the method for processing information in the express industry provided in the embodiments of the present application, and is capable of executing the express industry information processing method provided by the embodiments of the present application. Corresponding functional modules and beneficial effects of the information processing method. For technical details that are not described in detail in this embodiment, reference may be made to the method for processing information in the express delivery industry provided by the embodiment of this application, which will not be repeated here.

Example 3

Corresponding to the above method and device, Embodiment 3 of the present application provides a computer system, including:

one or more processors; and

A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, the method steps of Embodiment 1 are performed, such as Do the following:

receiving lead information, the lead information including customer information of the potential customer;

Use a preset clue database to determine whether the clue information already exists;

If not, judge whether the verified clue information is correct, and if so, mark it as a valid clue;

Send the valid clue to the terminal associated with the worker according to the preset matching model;

The receiving staff uploads the visit information for the valid clue through the associated terminal, and stores the visit information;

The customer demand information in the visit information is extracted, and a quotation plan is generated according to the corresponding relationship between the customer demand information and the preset quotation rule.

3 exemplarily shows the architecture of the computer system, which may specifically include a processor 1510 , a video display adapter 1511 , a disk drive 1512 , an input/output interface 1513 , a network interface 1514 , and a memory 1520 . The processor 1510 , the video display adapter 1511 , the disk drive 1512 , the input/output interface 1513 , and the network interface 1514 , and the memory 1520 may be communicatively connected through the communication bus 1530 .

The processor 1510 may be implemented by a general-purpose CPU (Central Processing Unit, central processing unit), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., and is used for Execute relevant programs to realize the technical solutions provided in this application.

The memory 1520 may be implemented in the form of a ROM (Read Only Memory, read only memory), a RAM (Random Access Memory, random access memory), a static storage device, a dynamic storage device, and the like. The memory 1520 may store an operating system 1521 for controlling the operation of the computer system 1500 , a basic input output system (BIOS) for controlling low-level operations of the computer system 1500 . In addition, a web browser 1523, a data storage management system 1524, an icon font processing system 1525, and the like may also be stored. The above-mentioned icon font processing system 1525 may be an application program that specifically implements the operations of the foregoing steps in this embodiment of the present application. In a word, when the technical solutions provided in the present application are implemented through software or firmware, the relevant program codes are stored in the memory 1520 and invoked by the processor 1510 for execution.

The input/output interface 1513 is used for connecting input/output modules to realize information input and output. The input/output/module can be configured in the device as a component (not shown in the figure), or can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various types of sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, and the like.

The network interface 1514 is used to connect a communication module (not shown in the figure), so as to realize the communication interaction between the device and other devices. The communication module may implement communication through wired means (eg, USB, network cable, etc.), or may implement communication through wireless means (eg, mobile network, WIFI, Bluetooth, etc.).

Bus 1530 includes a path that transfers information between the various components of the device (eg, processor 1510, video display adapter 1511, disk drive 1512, input/output interface 1513, network interface 1514, and memory 1520).

In addition, the computer system 1500 can also obtain the information of the specific collection conditions from the virtual resource object collection condition information database 1541, so as to be used for condition judgment, and so on.

It should be noted that although the above device only shows the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, the memory 1520, the bus 1530, etc., in the specific implementation process, the A device may also include other components necessary for proper operation. In addition, those skilled in the art can understand that, the above-mentioned device may also include only the necessary components to realize the solution of the present application, instead of all the components shown in the figures.

From the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in storage media, such as ROM/RAM, magnetic disks , CD, etc., including several instructions to make a computer device (which may be a personal computer, a cloud server, or a network device, etc.) execute the methods described in various embodiments or some parts of the embodiments of the present application.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the system or the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part may refer to the partial description of the method embodiment. The systems and system embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, It can be located in one place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

The methods, devices and systems for processing information in the express delivery industry provided by the present application have been introduced in detail above. The principles and implementations of the present application are described with specific examples in this article. The method of the application and its core idea; meanwhile, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation and application scope. In conclusion, the content of this specification should not be construed as a limitation on the present application.

Claims (10)

1. An express delivery industry information processing method is characterized by comprising the following steps:

receiving cue information, wherein the cue information comprises client information of potential clients;

judging whether the clue information exists by using a preset clue database;

if not, judging whether the verified clue information is correct or not, and if so, marking the clue information as an effective clue;

sending the effective clue to a terminal associated with a worker according to a preset matching model;

receiving visit information uploaded by a worker through the associated terminal and aiming at the effective clue, and storing the visit information;

and extracting the customer demand information in the visit information, and generating a quotation scheme according to the corresponding relation between the customer demand information and a preset quotation rule.

2. The express delivery industry information processing method of claim 1, wherein the method further comprises:

extracting a client name in a contract formulated according to a quotation scheme, judging whether the client name is the same as the client name in the existing contract in a contract database, and if not, determining that the contract is valid;

and extracting at least one time node in the contract, judging whether the time is overtime according to the current time and the time node, and if so, sending a prompt.

3. The express delivery industry information processing method of claim 2, wherein: the time node includes at least one of a delivery time, and a refund time.

4. The express delivery industry information processing method of claim 1, wherein:

the customer information includes phone number, customer name, address information, shipping potential, type, and industry customer.

5. The express delivery industry information processing method of claim 4, wherein the determining whether the verified cue information is correct comprises:

extracting a telephone number in the customer information, judging whether the telephone number is correct or not, if so, automatically dialing the telephone number, and verifying whether the telephone number is valid or not; and/or

Extracting address information in the client information, standardizing the address information by using a preset regular expression to generate standardized address information, comparing the standardized address information with a preset address information database, and verifying whether the address information is correct.

6. The express delivery industry information processing method of any one of claims 1 to 5, wherein sending a valid cue to a terminal associated with a worker according to a preset matching model comprises:

extracting shipping potentials in the active thread, the shipping potentials indicating the amount paid for monthly shipping by the customer;

and judging whether the delivery potential value in the effective clue is larger than a preset value, if so, sending the effective clue to a terminal associated with a first-level worker, and if not, sending the effective clue to a terminal associated with a second-level worker.

7. The express delivery industry information processing method of claim 1, wherein:

the customer demand information comprises a customer main flow kilogram section, a main flow direction of goods, a customer expecting price, value-added service and end service;

the offer scheme includes offering, providing value added services, product type, and providing end services.

8. An information processing device for express delivery industry, the device comprising:

the receiving unit is used for receiving clue information, and the clue information contains client information of potential clients;

the verification unit is used for judging whether the clue information exists by utilizing a preset clue database;

the validity judging unit is used for judging whether the verified clue information is correct or not, and if so, marking the verified clue information as a valid clue;

the sending unit is used for sending the effective clue to a terminal associated with a worker according to a preset matching model;

the logging-in unit is used for receiving visit information uploaded by a worker through the associated terminal and aiming at the effective clues and storing the visit information;

and the generating unit is used for extracting the customer demand information in the visit information and generating a quotation scheme according to the corresponding relation between the customer demand information and a preset quotation rule.

9. The courier industry information processing apparatus of claim 8, wherein the apparatus further comprises:

the contract determining unit is used for extracting the client name in the contract made according to the quotation scheme, judging whether the client name is the same as the client name in the existing contract in the contract database, and if not, determining that the contract is effective;

and the reminding unit is used for extracting at least one time node in the contract, judging whether the time is overtime according to the current time and the time node, and if so, sending out a reminding.

10. A computer system, the system comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform the method of any of claims 1-7.

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