Logistics data analysis system and method for inventory management

Abstract

The present invention discloses a logistics data analysis system and method for inventory management, and relates to the technical field of digital platform management. The present invention analyzes information on historical management operation records generated by each management authority account when processing corresponding warehousing and logistics management businesses, and at the same time, by combing the distribution of operation input trajectories generated by each management authority account on a digital warehousing and logistics management platform in the process of executing each operation path, comprehensively implements the evaluation of the proficiency value of the corresponding warehousing and logistics management business in each management authority account in each characteristic historical management operation record that does not meet the operation efficiency requirements, and effectively improves the efficiency of each management authority account in carrying out related warehousing and logistics management businesses in the digital warehousing and logistics management platform.

Description

Technical Field

[0001] The present invention relates to the technical field of digital platform management, and in particular to a logistics data analysis system and method for inventory management. Background Art

[0002] The digital business management system is a management system based on digital technology, which can help enterprises achieve digital, intelligent and automated management. The advantage of the digital business management system is that it can help enterprises improve management efficiency, reduce labor costs, and strengthen internal collaboration; building a digital warehousing and logistics management platform to achieve comprehensive management of supplier procurement, sales, warehousing, warehouses, quality, chain stores, retail and other links has gradually become a technological trend that enterprises are pursuing breakthroughs in;

[0003] Relying on the digital warehousing and logistics management platform can help enterprises analyze the year-on-year and year-on-year growth and value contribution rate of business and resources from various angles such as suppliers, customers, institutions, personnel, commodities, inventory, etc., and provide various key indicators for reference and decision-making of enterprises. Therefore, the efficiency of each management authority account in carrying out related warehousing and logistics management business in the digital warehousing and logistics management platform is particularly important because it is directly related to the data update speed in the digital warehousing and logistics management platform. Summary of the invention

[0004] The object of the present invention is to provide a logistics data analysis system and method for inventory management to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a logistics data analysis method for inventory management, the method comprising:

[0006] Step S1: Collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account;

[0007] Step S2: extract the operation paths that each management authority account needs to perform in the process of completing each warehousing and logistics management business, obtain the operation sequence corresponding to each operation path, sort out the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehousing and logistics management platform; each two adjacent instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence;

[0008] Step S3: in each set of historical management operation records corresponding to each management authority account, identifying and extracting characteristic historical management operation records showing that the operation efficiency does not meet the requirements;

[0009] Step S4: respectively evaluating the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account, and calculating the proficiency value of each management authority account for the corresponding warehousing and logistics management business;

[0010] Step S5: Based on the proficiency level of each management authority account for the corresponding warehousing and logistics management services, as well as the similarity of the distribution of operation input trajectories presented by each management authority account in the process of executing the corresponding different warehousing and logistics management services, all pending matters generated by each management authority account on the digital warehousing and logistics management platform are intelligently sorted and adjusted in real time.

[0011] Preferably, step S2 comprises:

[0012] Step S2-1: extracting the operation paths that any management authority account needs to perform in the process of completing various warehousing and logistics management businesses, extracting various instruction input operations that any management authority account needs to generate in the digital warehousing and logistics management platform from the operation paths in order, and obtaining the operation sequences corresponding to each operation path;

[0013] Step S2-2: respectively inputting operations for various instructions constituting any operation path of any management authority account, and capturing the function icons pointed to by the target in the digital warehousing and logistics management platform;

[0014] Step S2-3: Assume that a certain input operation switch node is composed of the kth instruction input operation and the k+1th instruction input operation, the function icon pointed to by the kth instruction input operation is f(k), and the function icon pointed to by the k+1th instruction input operation is f(k+1), extract the center point P of f(k) f(k) , the center point P of f(k+1) f(k+1) , connect P f(k) and P f(k+1) The obtained line segment is used as the operation input trajectory corresponding to a certain input operation switching node, and the operation input trajectories of each input operation switching node are integrated to obtain the operation input path corresponding to any operation path.

[0015] Preferably, step S3 comprises:

[0016] Step S3-1: Assume that a certain management authority account corresponds to the historical management operation record set U of the ith warehousing logistics management business iIn the historical management operation record set U, M records are included. i From each historical management operation record in the , extract the operation time taken by a certain management authority account to complete the i-th warehousing and logistics management business, and obtain the average operation time taken by a certain management authority account to complete the i-th warehousing and logistics management business;

[0017] Step S3-2: If the historical management operation record set U i There is a historical management operation record a in the memory. The corresponding operation duration in the historical management operation record a is greater than the average operation duration. The historical management operation record a is set as the characteristic historical management operation record corresponding to the i-th warehousing logistics management business.

[0018] Preferably, step S4 comprises:

[0019] Step S4-1: Extract the operation path L required to complete the i-th warehousing logistics management business i , respectively, in any characteristic historical management operation record corresponding to the i-th warehousing logistics management business, capture the operation path L completed by a certain management authority account i In the jth instruction, enter operation x j The corresponding timestamp is T(x j ), complete the operation path L i In the j+1th instruction, enter operation x j+1 The corresponding timestamp is T(x j+1 );

[0020] Step S4-2: Extract the j and x j+1 The typing operation switch node D(x j ,x j+1 ) corresponding to the operation input trajectory C(x j ,x j+1 ), when in the time period [T(x j ),T(x j+1 )], it is captured that the time that a certain management privilege account moves the cursor at a certain position exceeds the time threshold. Through the time threshold, the operation hesitation of a certain management privilege account in the process of moving the cursor is identified, and a certain position is marked. Each marked position is respectively associated with the operation input trajectory C(x j ,x j+1 ) are connected to obtain the corresponding marking positions and operation input trajectory C(x j ,x j+1);The area of ​​the closed figure formed by connecting each position showing operation hesitation with the operation typing trajectory C(xj,xj+1) is used to measure the deviation degree between each operation hesitation of a certain management authority account and the most efficient operation typing trajectory;

[0021] Step S4-3: The total number of accumulated marked positions is n, the total area obtained by adding up the areas of n closed figures is S, and the evaluation is performed to obtain the number of keystroke operation switching nodes D(x j ,x j+1 ) presented by the operation proficiency index β = 1 / [T(x j+1 )-T(x j )]×(S / n), obtain the key operation switch node D(x j ,x j+1 ) presented by the average operational proficiency index;

[0022] T(x j+1 )-T(x j ) is smaller, it means that a certain authorized user has completed the operation path L i In the jth instruction, enter operation x j After that, the operation path L is completed in the connection i In the j+1th instruction, enter operation x j+1 The shorter the hesitation time in the process, the more likely it is that a certain authorized user will switch node D(x j ,x j+1 ) is more skilled; the smaller the S / n, the smaller the average deviation between all operation hesitations of a certain management authority account and the most efficient operation typing trajectory;

[0023] Step S4-4: When the average operation proficiency index of a key-in operation switch node presented by a certain authorized user in all characteristic historical management operation records corresponding to the i-th warehousing and logistics management business is less than the index threshold, the key-in operation switch node is set as the characteristic switch node in the process of completing the corresponding i-th warehousing and logistics management business by the certain authorized user; the proficiency value η=n / M of the certain authorized user for the i-th warehousing and logistics management business is evaluated, where M represents the proficiency index of the certain authorized user in the historical management operation record set U i The total number of historical management operation records contained in U, n represents the number of historical management operation records from the historical management operation record set U i The total number of feature history management operation records extracted.

[0024] Preferably, step S5 comprises:

[0025] Step S5-1: collect all pending items generated by any management authority account on the digital warehousing and logistics management platform in real time, set the warehousing and logistics management business corresponding to each pending item as the target business; extract the proficiency value of each target business of any management authority account, sort each pending item from large to small according to the corresponding proficiency value, and generate an initial pending item list;

[0026] Step S5-2: If there is a proficiency value corresponding to the g-th pending item R1 in the list of pending items, and the difference between the proficiency value corresponding to the g+1-th and g+2-th pending items R2 and R3 is less than the threshold, and the similarity between the operation typing path of the warehousing and logistics management business corresponding to R1 and the operation typing path of the warehousing and logistics management business corresponding to R3 is greater than the similarity between the operation typing path of the warehousing and logistics management business corresponding to R1 and the operation typing path of the warehousing and logistics management business corresponding to R2, the order of R1 and R3 in the list of pending items is swapped to generate a new list of pending items.

[0027] In order to better implement the above method, a logistics data analysis system is also proposed, which includes a warehousing and logistics management record sorting module, a warehousing and logistics management business information sorting module, a feature history management operation record screening module, a proficiency value evaluation management module, and a business intelligent adjustment module;

[0028] The warehousing and logistics management record sorting module is used to collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account;

[0029] The warehouse logistics management business information sorting module is used to extract the operation paths that each management authority account needs to perform in the process of completing various warehouse logistics management businesses, obtain the operation sequence corresponding to each operation path, sort out the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehouse logistics management platform; each adjacent two instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence;

[0030] A feature historical management operation record screening module is used to identify and extract feature historical management operation records that do not meet the operation efficiency requirements in each set of historical management operation records corresponding to each management authority account;

[0031] The proficiency value evaluation management module is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records of each management authority account, and calculate the proficiency value of each management authority account for the corresponding warehousing and logistics management business;

[0032] The business intelligent adjustment module is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, as well as the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, to make intelligent adjustments to all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time.

[0033] Preferably, the proficiency value evaluation management module includes an operation proficiency index calculation unit and a proficiency value evaluation unit;

[0034] The operation proficiency index calculation unit is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account;

[0035] The proficiency value evaluation unit is used to receive the data in the operation proficiency index calculation unit and calculate the proficiency value of each management authority account for the corresponding warehousing and logistics management business.

[0036] Preferably, the business intelligent adjustment module includes a pending matters monitoring unit and a business intelligent adjustment unit;

[0037] The pending items monitoring unit is used to monitor all pending items generated by each management authority account on the digital warehousing and logistics management platform in real time;

[0038] The business intelligent adjustment unit is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, as well as the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, to intelligently sort and adjust all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time.

[0039] Compared with the prior art, the beneficial effect achieved by the present invention is as follows: the present invention conducts information analysis on the historical management operation records generated by each management authority account when processing the corresponding warehousing and logistics management business, and at the same time, by sorting out the operation input trajectory distribution generated by each management authority account on the digital warehousing and logistics management platform in the process of executing each operation path, a comprehensive evaluation is achieved on the proficiency value of the corresponding warehousing and logistics management business in the characteristic historical management operation records of each management authority account that do not meet the operation efficiency requirements, thereby effectively improving the efficiency of each management authority account in carrying out related warehousing and logistics management business in the digital warehousing and logistics management platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the logistics data analysis method for inventory management of the present invention;

[0041] Figure 2 It is a schematic diagram of the structure of the logistics data analysis system for inventory management of the present invention. DETAILED DESCRIPTION

[0042] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0043] Example: Figure 1-Figure 2 As shown, the present invention provides a logistics data analysis method for inventory management, the method comprising:

[0044] Step S1: Collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account;

[0045] Step S2: extract the operation paths that each management authority account needs to perform in the process of completing each warehousing and logistics management business, obtain the operation sequence corresponding to each operation path, sort out the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehousing and logistics management platform; each two adjacent instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence;

[0046] Wherein, step S2 comprises:

[0047] Step S2-1: extracting the operation paths that any management authority account needs to perform in the process of completing various warehousing and logistics management businesses, extracting various instruction input operations that any management authority account needs to generate in the digital warehousing and logistics management platform from the operation paths in order, and obtaining the operation sequences corresponding to each operation path;

[0048] Step S2-2: respectively inputting operations for various instructions constituting any operation path of any management authority account, and capturing the function icons pointed to by the target in the digital warehousing and logistics management platform;

[0049] Step S2-3: Assume that a certain input operation switch node is composed of the kth instruction input operation and the k+1th instruction input operation, the function icon pointed to by the kth instruction input operation is f(k), and the function icon pointed to by the k+1th instruction input operation is f(k+1), extract the center point P of f(k) f(k) , the center point P of f(k+1) f(k+1) , connect P f(k) and P f(k+1) The obtained line segment is used as the operation input trajectory corresponding to a certain input operation switch node, and the operation input trajectories of each input operation switch node are integrated to obtain the operation input path corresponding to any operation path;

[0050] Step S3: in each set of historical management operation records corresponding to each management authority account, identifying and extracting characteristic historical management operation records showing that the operation efficiency does not meet the requirements;

[0051] Wherein, step S3 comprises:

[0052] Step S3-1: Assume that a certain management authority account corresponds to the historical management operation record set U of the ith warehousing logistics management business i In the historical management operation record set U, M records are included. i From each historical management operation record in the , extract the operation time taken by a certain management authority account to complete the i-th warehousing and logistics management business, and obtain the average operation time taken by a certain management authority account to complete the i-th warehousing and logistics management business;

[0053] Step S3-2: If the historical management operation record set U i There is a certain historical management operation record a in the memory, and the corresponding operation duration in the certain historical management operation record a is greater than the average operation duration, and the certain historical management operation record a is set as the characteristic historical management operation record corresponding to the i-th warehousing logistics management business;

[0054] Step S4: respectively evaluating the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account, and calculating the proficiency value of each management authority account for the corresponding warehousing and logistics management business;

[0055] Wherein, step S4 comprises:

[0056] Step S4-1: Extract the operation path L required to complete the i-th warehousing logistics management business i , respectively, in any characteristic historical management operation record corresponding to the i-th warehousing logistics management business, capture the operation path L completed by a certain management authority account i In the jth instruction, enter operation x j The corresponding timestamp is T(x j ), complete the operation path L i In the j+1th instruction, enter operation x j+1 The corresponding timestamp is T(x j+1 );

[0057] Step S4-2: Extract the j and x j+1 The typing operation switch node D(x j ,x j+1 ) corresponding to the operation input trajectory C(x j ,x j+1 ), when in the time period [T(x j ),T(x j+1 )], it is captured that the time for which the cursor of a certain management privilege account stays at a certain position exceeds the time threshold, and a certain position is marked, and each marked position and the operation input trajectory C(x j ,x j+1 ) are connected to obtain the corresponding marking positions and operation input trajectory C(x j ,x j+1 ) is a closed figure;

[0058] Step S4-3: The total number of accumulated marked positions is n, the total area obtained by adding up the areas of n closed figures is S, and the evaluation is performed to obtain the number of keystroke operation switching nodes D(x j ,x j+1 ) presented by the operation proficiency index β = 1 / [T(x j+1 )-T(x j )]×(S / n), obtain the key operation switch node D(xj ,x j+1 ) presented by the average operational proficiency index;

[0059] Step S4-4: When the average operation proficiency index of a key-in operation switch node presented by a certain authorized user in all characteristic historical management operation records corresponding to the i-th warehousing and logistics management business is less than the index threshold, the key-in operation switch node is set as the characteristic switch node in the process of completing the corresponding i-th warehousing and logistics management business by the certain authorized user; the proficiency value η=n / M of the certain authorized user for the i-th warehousing and logistics management business is evaluated, where M represents the proficiency index of the certain authorized user in the historical management operation record set U i The total number of historical management operation records contained in U, n represents the number of historical management operation records from the historical management operation record set U i The total number of feature history management operation records extracted from

[0060] Step S5: Based on the proficiency values ​​of each management authority account for each corresponding warehousing and logistics management business, and the similarity of the distribution of operation input trajectories presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, all pending matters generated by each management authority account on the digital warehousing and logistics management platform are intelligently sorted and adjusted in real time;

[0061] Wherein, step S5 comprises:

[0062] Step S5-1: collect all pending items generated by any management authority account on the digital warehousing and logistics management platform in real time, set the warehousing and logistics management business corresponding to each pending item as the target business; extract the proficiency value of each target business of any management authority account, sort each pending item from large to small according to the corresponding proficiency value, and generate a list of pending items;

[0063] Step S5-2: If there is a proficiency value corresponding to the g-th pending item R1 in the pending items list, and the difference between the proficiency values ​​corresponding to the g+1-th and g+2-th pending items R2 and R3 is less than the threshold value, and the similarity between the operation input path of the warehousing and logistics management business corresponding to R1 and the operation input path of the warehousing and logistics management business corresponding to R3 is greater than the similarity between the operation input path of the warehousing and logistics management business corresponding to R1 and the operation input path of the warehousing and logistics management business corresponding to R2, the order of R1 and R3 in the pending items list is swapped to generate a new pending items list;

[0064] For example, the list of pending items is sorted as: pending item a, pending item b, pending item c, pending item d;

[0065] Among them, pending item a corresponds to item 1 warehousing and logistics management business, pending item b corresponds to item 3 warehousing and logistics management business, pending item c corresponds to item 2 warehousing and logistics management business, and pending item d corresponds to item 4 warehousing and logistics management business;

[0066] If the proficiency value of the corresponding management authority account for the first warehousing and logistics management business is s1, the proficiency value for the second warehousing and logistics management business is s2, the proficiency value for the third warehousing and logistics management business is s3, and the proficiency value for the fourth warehousing and logistics management business is s4; s1>s2>s3>s4;

[0067] Among them, the operation input path of the first warehousing and logistics management business is L1, the operation input path of the second warehousing and logistics management business is L2, the operation input path of the third warehousing and logistics management business is L3, and the operation input path of the fourth warehousing and logistics management business is L4;

[0068] If s1-s2 is less than the threshold, and s1-s3 is less than the threshold, the similarity between L1 and L3 is less than the similarity between L1 and L2, so the list of pending items can be adjusted to: pending item a, pending item c, pending item b, pending item d;

[0069] Next, if s2-s4 is less than the threshold, and s2-s3 is less than the threshold, and the similarity between L2 and L3 is less than the similarity between L2 and L4, the list of pending items can be further adjusted to: pending item a, pending item c, pending item d, pending item b;

[0070] In order to better implement the above method, a logistics data analysis system is also proposed, which includes a warehousing and logistics management record sorting module, a warehousing and logistics management business information sorting module, a feature history management operation record screening module, a proficiency value evaluation management module, and a business intelligent adjustment module;

[0071] The warehousing and logistics management record sorting module is used to collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account;

[0072] The warehouse logistics management business information sorting module is used to extract the operation paths that each management authority account needs to perform in the process of completing various warehouse logistics management businesses, obtain the operation sequence corresponding to each operation path, sort out the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehouse logistics management platform; each adjacent two instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence;

[0073] A feature historical management operation record screening module is used to identify and extract feature historical management operation records that do not meet the operation efficiency requirements in each set of historical management operation records corresponding to each management authority account;

[0074] The proficiency value evaluation management module is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records of each management authority account, and calculate the proficiency value of each management authority account for the corresponding warehousing and logistics management business;

[0075] Among them, the proficiency value evaluation management module includes an operation proficiency index calculation unit and a proficiency value evaluation unit;

[0076] The operation proficiency index calculation unit is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account;

[0077] The proficiency value evaluation unit is used to receive the data in the operation proficiency index calculation unit and calculate the proficiency value of each management authority account for each corresponding warehousing and logistics management business;

[0078] The business intelligent adjustment module is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, and the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, and make intelligent adjustments to all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time;

[0079] Among them, the business intelligent adjustment module includes a pending matter monitoring unit and a business intelligent adjustment unit;

[0080] The pending items monitoring unit is used to monitor all pending items generated by each management authority account on the digital warehousing and logistics management platform in real time;

[0081] The business intelligent adjustment unit is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, as well as the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, to intelligently sort and adjust all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time.

[0082] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A warehouse logistics management method based on big data, characterized in that: The method comprises: Step S1: Collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account; Step S2: extracting the operation paths that each management authority account needs to perform in the process of completing each warehousing and logistics management business, obtaining the operation sequence corresponding to each operation path, and sorting out the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehousing and logistics management platform; each two adjacent instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence; Step S3: in each set of historical management operation records corresponding to each management authority account, identifying and extracting characteristic historical management operation records showing that the operation efficiency does not meet the requirements; Step S4: respectively evaluating the operation proficiency index of each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account, and calculating the proficiency value of each management authority account for the corresponding warehousing and logistics management business; Step S5: Based on the proficiency values ​​of each management authority account for each corresponding warehousing and logistics management business, and the similarity of the distribution of operation input trajectories presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, all pending matters generated by each management authority account on the digital warehousing and logistics management platform are intelligently sorted and adjusted in real time; The step S2 comprises: Step S2-1: extracting the operation paths that any management authority account needs to perform in the process of completing various warehousing and logistics management businesses, and sequentially extracting various instruction input operations that the any management authority account needs to generate in the digital warehousing and logistics management platform from the operation paths, and obtaining the operation sequences corresponding to each operation path; Step S2-2: respectively inputting operations for various instructions constituting any operation path of any management authority account, and capturing the function icon pointed to by the target in the digital warehousing and logistics management platform; Step S2-3: Assume that a certain input operation switch node is composed of the kth instruction input operation and the k+1th instruction input operation, the function icon pointed to by the kth instruction input operation target is f(k), and the function icon pointed to by the k+1th instruction input operation target is f(k+1), extract the center point P of f(k) f(k) , the center point P of f(k+1) f(k+1) , connect P f(k) and P f(k+1) The obtained line segment is used as the operation input trajectory corresponding to the certain input operation switching node, and the operation input trajectories of the input operation switching nodes are integrated to obtain the operation input path corresponding to the arbitrary operation path; The step S3 comprises: Step S3-1: Assume that a certain management authority account corresponds to the historical management operation record set U of the ith warehousing logistics management business i In the historical management operation record set U, M records are included. i From each historical management operation record in the , extract the operation time taken by the management authority account to complete the i-th warehousing and logistics management business, and obtain the average operation time taken by the management authority account to complete the i-th warehousing and logistics management business; Step S3-2: If the historical management operation record set U i There is a certain historical management operation record a in the memory, and the corresponding operation duration in the certain historical management operation record a is greater than the average operation duration, and the certain historical management operation record a is set as the characteristic historical management operation record corresponding to the i-th warehousing logistics management business; The step S4 comprises: Step S4-1: Extract the operation path L required to complete the i-th warehousing logistics management business i , respectively, in any characteristic historical management operation record corresponding to the i-th warehousing logistics management business, capture the operation path L completed by the management authority account i In the jth instruction, enter operation x j The corresponding timestamp is T(x j ), complete the operation path L i In the j+1th instruction, enter operation x j+1 The corresponding timestamp is T(x j+1 ); Step S4-2: Extract the j and x j+1 The typing operation switch node D(x j ,x j+1 ) corresponding to the operation input trajectory C(x j ,x j+1 ), when in the time period [T(x j ),T(x j+1 )], it is captured that the time duration of the cursor of the management authority account staying at a certain position exceeds the time threshold, and the operation hesitation of the management authority account in the process of operating the cursor is identified through the time threshold, and the certain position is marked, and each marked position is respectively associated with the operation input trajectory C(x j ,x j+1 ) are connected to obtain the corresponding marking positions and operation input trajectory C(x j ,x j+1 ) is a closed figure; Step S4-3: The total number of accumulated marked positions is n, the total area obtained by adding up the areas of n closed figures is S, and the evaluation is performed to obtain the number of times a certain authorized user has typed an operation switch node D(x j ,x j+1 ) presented by the operation proficiency index β = 1 / [T(x j+1 )-T(x j )]×(S / n), obtain the key operation switch node D(x j ,x j+1 ) presented by the average operational proficiency index; Step S4-4: When the average operation proficiency index of a key-in operation switch node presented by a certain authorized user in all characteristic historical management operation records corresponding to the i-th warehousing and logistics management business is less than the index threshold, the certain key-in operation switch node is assumed to be the characteristic switch node in the process of a certain authorized user completing the corresponding i-th warehousing and logistics management business; the proficiency value η=k / M of the certain authorized user for the i-th warehousing and logistics management business is evaluated, where M represents the proficiency index of the authorized user in the historical management operation record set U i The total number of historical management operation records contained in U, k represents the number of historical management operation records from the historical management operation record set U i The total number of feature history management operation records extracted.

2. The warehouse logistics management method based on big data according to claim 1 is characterized in that: The step S5 comprises: Step S5-1: collect all pending items generated by any management authority account on the digital warehousing and logistics management platform in real time, set the warehousing and logistics management business corresponding to each pending item as the target business; extract the proficiency value of the any management authority account for each target business, sort the pending items from large to small according to the corresponding proficiency value, and generate an initial pending item list; Step S5-2: If there is a proficiency value corresponding to the g-th pending item R1 in the list of pending items, and the difference between the proficiency value corresponding to the g+1-th and g+2-th pending items R2 and R3 is less than the threshold, and the similarity between the operation typing path of the warehousing and logistics management business corresponding to R1 and the operation typing path of the warehousing and logistics management business corresponding to R3 is greater than the similarity between the operation typing path of the warehousing and logistics management business corresponding to R1 and the operation typing path of the warehousing and logistics management business corresponding to R2, the order of R1 and R3 in the list of pending items is swapped to generate a new list of pending items.

3. A warehouse logistics management system for executing the warehouse logistics management method based on big data as described in any one of claims 1 to 2, characterized in that: The system includes a warehousing and logistics management record sorting module, a warehousing and logistics management business information sorting module, a feature history management operation record screening module, a proficiency value evaluation management module and a business intelligent adjustment module; The warehousing and logistics management record sorting module is used to collect all historical management operation records generated by each management authority account on the digital warehousing and logistics management platform, classify them according to the different warehousing and logistics management businesses executed accordingly, and obtain several historical management operation record sets, wherein one historical management operation record set corresponds to one warehousing and logistics management business executed by each management authority account; The warehousing and logistics management business information combing module is used to extract the operation paths that each management authority account needs to perform in the process of completing each warehousing and logistics management business, obtain the operation sequence corresponding to each operation path, and comb the operation input trajectory distribution generated by each management authority account in the process of executing each operation path on the digital warehousing and logistics management platform; each two adjacent instruction input operations in each operation sequence constitute a input operation switching node in each operation sequence; The characteristic historical management operation record screening module is used to identify and extract characteristic historical management operation records that do not meet the operation efficiency requirements in each historical management operation record set corresponding to each management authority account; The proficiency value evaluation management module is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account, and calculate the proficiency value of each management authority account for the corresponding warehousing and logistics management business; The business intelligent adjustment module is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, and the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, to make intelligent adjustments to all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time.

4. The warehouse logistics management system according to claim 3, characterized in that: The proficiency value evaluation management module includes an operation proficiency index calculation unit and a proficiency value evaluation unit; The operation proficiency index calculation unit is used to evaluate the operation proficiency index presented by each management authority account when completing each key-in operation switching node in any warehousing and logistics management business in the characteristic historical management operation records corresponding to each management authority account; The proficiency value evaluation unit is used to receive the data in the operation proficiency index calculation unit, and calculate the proficiency value of each management authority account for each corresponding warehousing and logistics management business.

5. The warehouse logistics management system according to claim 3, characterized in that: The business intelligent adjustment module includes a pending matters monitoring unit and a business intelligent adjustment unit; The pending items monitoring unit is used to monitor all pending items generated by each management authority account on the digital warehousing and logistics management platform in real time; The business intelligent adjustment unit is used to combine the proficiency values ​​of each management authority account for the corresponding warehousing and logistics management business, and the similarity of the operation input trajectory distribution presented by each management authority account in the process of executing the corresponding different warehousing and logistics management business, to intelligently sort and adjust all pending matters generated by each management authority account on the digital warehousing and logistics management platform in real time.

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