CN112884328A - Piece-seizing salesman recommendation method, device, equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of intelligent logistics, and discloses a package salesman recommendation method, device, equipment and storage medium. The method comprises the following steps: acquiring one or more historical item acquisition records of a plurality of target operators, and acquiring heat demand information and an initial heat attenuation formula of all the item acquisition records of the operators; adjusting an initial heat attenuation formula based on heat demand information to obtain a heat attenuation formula according with heat demand, and calculating a piece collecting heat score of each historical piece collecting record by adopting the heat attenuation formula; counting the corresponding item acquisition popularity scores of the historical item acquisition records of the target operators, and determining the item acquisition popularity of each target operator based on the counting result; and sequencing the target salesmen according to the package receiving heat from high to low, and selecting one or more target salesmen in the front sequence as package receiving salesmen to be packaged. The invention realizes automatic updating after the logistics operators change, and recommends more matched express quantity for different operators.
Description
Technical Field
The invention relates to the technical field of intelligent logistics, in particular to a package salesman recommendation method, device, equipment and storage medium.
Background
In the current state of the logistics industry, different logistics companies have a large number of franchising network points, the mobility of operators is high, due to non-direct management, the real-time situation of the current office-holding operators cannot be mastered at the first time, the number of the office-holding operators is difficult to accurately predict, so that some franchising network points cannot digest too many express mails, and some franchising network points have too few express mails. The current forecast algorithm of the package service staff requires great manpower to maintain, such as binding the service staff (if the service staff leaves, the service staff needs to be manually corrected in time) and electronic fences (maps need to be divided manually, and the accuracy of GPS positioning is greatly depended on). The existing method for predicting the workpiece collecting salesman is not convenient and accurate enough, and the workpiece collecting salesman and the workpiece collecting capability of the salesman can be difficult to determine.
Disclosure of Invention
The invention mainly aims to solve the technical problem that the working condition of a collecting salesman cannot be dynamically and accurately mastered.
The invention provides a package salesman recommendation method in a first aspect, which comprises the following steps:
acquiring one or more historical item acquisition records of a plurality of target operators, and acquiring heat demand information and an initial heat attenuation formula of all the item acquisition records of the operators;
adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with the heat demand, and calculating a piece collecting heat score of each historical piece collecting record by adopting the heat attenuation formula;
counting the corresponding item acquisition popularity scores of the historical item acquisition records of the target operators, and determining the item acquisition popularity of the target operators based on the counting result;
and sequencing the target salesmen according to the package catching heat degree from high to low, and selecting one or more target salesmen in the front sequence as package catching salesmen to be packaged.
Optionally, in a first implementation manner of the first aspect of the present invention, the adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula meeting the heat demand includes:
determining the average on-duty time of all the operators, the initial item picking heat weight of the current time and the final item picking heat weight after the average on-duty time according to the heat demand information;
calculating a heat attenuation coefficient in the initial heat attenuation formula according to the average working duration, the initial heat weight and the final heat weight;
substituting the heat attenuation coefficient into the initial heat attenuation formula, and adding one or more scene optimization parameters into the initial heat attenuation formula to obtain a heat attenuation formula meeting the heat requirement.
Optionally, in a second implementation manner of the first aspect of the present invention, the acquiring one or more historical package records of a plurality of target salesmen includes:
when an acquisition request of a historical item acquisition record is received, analyzing the acquisition request to obtain an area range where the historical item acquisition record is located and an object identifier of a target salesman;
selecting historical item acquisition records which are positioned in the area range and carry the object identification information from a preset database;
and screening historical acquisition condition records from the current time to the past average time period to obtain one or more historical acquisition condition records of each target salesman.
Optionally, in a third implementation manner of the first aspect of the present invention, after the selecting one or more target employees ranked at the top as package employees of the to-be-packaged packages, the method further includes:
acquiring the latest component acquisition records of each target salesman, and updating the historical component acquisition records according to the latest component acquisition records;
and adjusting relevant parameters in the heat attenuation formula based on the updated historical item acquisition records, wherein the relevant parameters comprise the heat attenuation coefficient and the one or more scene optimization parameters.
Optionally, in a fourth implementation manner of the first aspect of the present invention, after the counting the package popularity scores corresponding to the historical package records of each target salesman and determining the package popularity of each target salesman based on the statistical result, the method further includes:
sequentially judging whether the package receiving heat corresponding to each target salesman is lower than a preset package receiving heat threshold value or not;
and if the current position is lower than the collecting heat threshold value, determining that the corresponding target salesman is abnormal in working, and removing the abnormal target salesman in working.
Optionally, in a fifth implementation manner of the first aspect of the present invention, after the selecting one or more target employees ranked at the top as package employees of the to-be-packaged packages, the method further includes:
counting the total number of normal target salesmen and the total number of to-be-picked express mails in different area ranges and comparing the total numbers one by one;
and according to the comparison result, re-dividing the electronic fences corresponding to the area ranges, and determining the area ranges of new acquisition pieces of different target salesmen according to the electronic fences.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the heat attenuation formula meeting the heat requirement is as follows: score ═ e-k(t-1)*ln(w+1)；
Wherein, Score is a part acquisition heat Score, w is a scene optimization parameter, k is a heat attenuation coefficient, and t is a time interval between the current time and the historical part acquisition recording time.
The second aspect of the present invention provides a package salesman recommendation device, comprising:
the acquisition module is used for acquiring one or more historical item acquisition records of a plurality of target salesmen and acquiring heat demand information and an initial heat attenuation formula of all the salesmen item acquisition records;
the calculation module is used for adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula meeting the heat demand, and calculating the item receiving heat score of each historical item receiving record by adopting the heat attenuation formula;
the statistical module is used for counting the corresponding acquisition hot degree scores of the historical acquisition records of the target salesmen and determining the acquisition hot degree of the target salesmen based on the statistical result;
and the recommendation module is used for sequencing the target salesmen from high to low according to the package receiving popularity and selecting one or more target salesmen in the front sequence as package receiving salesmen to be packaged.
Optionally, in a first implementation manner of the second aspect of the present invention, the calculation module includes:
the formula construction unit is used for determining the average on-duty time of all the operators, the initial acquisition heat weight of the current time and the final acquisition heat weight after the average on-duty time according to the heat demand information; calculating a heat attenuation coefficient in the initial heat attenuation formula according to the average working duration, the initial heat weight and the final heat weight; substituting the heat attenuation coefficient into the initial heat attenuation formula, and adding one or more scene optimization parameters into the initial heat attenuation formula to obtain a heat attenuation formula meeting heat requirements;
and the calculating unit is used for calculating the item collecting popularity score of each historical item collecting record by adopting the popularity attenuation formula.
Optionally, in a second implementation manner of the second aspect of the present invention, the obtaining module is further configured to:
when an acquisition request of a historical item acquisition record is received, analyzing the acquisition request to obtain an area range where the historical item acquisition record is located and an object identifier of a target salesman;
selecting historical item acquisition records which are positioned in the area range and carry the object identification information from a preset database;
and screening historical acquisition condition records from the current time to the past average time period to obtain one or more historical acquisition condition records of each target salesman.
Optionally, in a third implementation manner of the second aspect of the present invention, the package salesman recommendation device further includes a parameter adjustment module, where the parameter adjustment module is configured to:
acquiring the latest component acquisition records of each target salesman, and updating the historical component acquisition records according to the latest component acquisition records;
and adjusting relevant parameters in the heat attenuation formula based on the updated historical item acquisition records, wherein the relevant parameters comprise the heat attenuation coefficient and the one or more scene optimization parameters.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the package salesman recommendation device further includes a rejecting module, where the rejecting module is configured to:
sequentially judging whether the package receiving heat corresponding to each target salesman is lower than a preset package receiving heat threshold value or not;
and if the current position is lower than the collecting heat threshold value, determining that the corresponding target salesman is abnormal in working, and removing the abnormal target salesman in working.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the package salesman recommendation device further includes an area range updating module, where the area range updating module is configured to:
counting the total number of normal target salesmen and the total number of to-be-picked express mails in different area ranges and comparing the total numbers one by one;
and according to the comparison result, re-dividing the electronic fences corresponding to the area ranges, and determining the area ranges of new acquisition pieces of different target salesmen according to the electronic fences.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the heat attenuation formula meeting the heat requirement is as follows:
Score＝e-k(t-1)*ln(w+1)；
wherein, Score is a part acquisition heat Score, w is a scene optimization parameter, k is a heat attenuation coefficient, and t is a time interval between the current time and the historical part acquisition recording time.
A third aspect of the present invention provides a package salesman recommendation device, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the package attendant recommendation device to execute the package attendant recommendation method.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the package attendant recommendation method described above.
According to the technical scheme provided by the invention, the hot end attenuation coefficient in the initial hot degree attenuation formula is obtained through the hot degree demand information and is substituted into the initial hot degree attenuation formula, and then new parameters such as a package holding parameter, a position parameter, a attendance parameter and the like are added according to the package holding scene demand, so that a final hot degree attenuation formula is obtained; then, acquiring historical item acquisition records of the operators and substituting the records into the heat attenuation formula to obtain item acquisition heat of each operator so as to represent the service capability of each operator; and finally, distributing a corresponding number of to-be-picked express items to different operators according to the popularity of the items, wherein the higher the popularity of the items is, the stronger the service capability is, and the more the to-be-picked express items are distributed. The reasonable distribution of the number of the express mails and the management and control of mail pull operators are realized.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a package salesman recommendation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a package salesman recommendation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an embodiment of a package salesman recommendation device in an embodiment of the present invention;
FIG. 4 is a schematic diagram of another embodiment of the package salesman recommendation device in an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a package salesman recommendation device in an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a package member businessman recommending method, device, equipment and storage medium, which are used for acquiring heat demand information and an initial heat attenuation formula of package members of businessmen, and adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with heat demand; acquiring historical item acquisition records of a plurality of salesmen, and calculating item acquisition heat of each salesmen in a heat attenuation formula based on the historical item acquisition records; arranging all the salesmen in sequence according to the package pickup heat degree from high to low, and recommending that all the salesmen are responsible for dispatching a corresponding number of to-be-packaged express packages according to the arrangement sequence of all the salesmen. The invention realizes automatic updating after the logistics operators change, and recommends more matched express quantity for different operators.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, a first embodiment of a package salesman recommendation method in the embodiment of the present invention includes:
101. acquiring one or more historical item acquisition records of a plurality of target operators, and acquiring heat demand information and an initial heat attenuation formula of all the item acquisition records of the operators;
it is understood that the implementation subject of the present invention may be a recommendation device for package service staff, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
In the embodiment, a heat attenuation formula of a member included by a salesman is constructed through heat demand information and an initial heat attenuation formula, and the heat demand information is set and uploaded by a user through a client according to parameters in the initial heat attenuation formula, wherein the heat demand information comprises time parameters and heat parameters.
In the embodiment, the historical package retrieving records comprise the object identifiers of the package retrieving operators and the dispatch geographical positions of the express mails, so that the qualified historical package retrieving records in the database can be searched through the object identifiers of the target operators and the target area range when the historical package retrieving records are screened, and the package retrieving recording time and the package retrieving recording quantity of each target operator in the target area range are mainly used.
102. Adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with the heat demand, and calculating a piece collecting heat score of each historical piece collecting record by adopting the heat attenuation formula;
in the embodiment, for an initial heat attenuation formula, a heat attenuation coefficient in the initial heat attenuation formula is calculated through a set expected value or an empirical value of each parameter in the scene, so as to determine an expected speed or an empirical speed of heat attenuation of a member seized by a salesman along with the increase of time; then, according to factors which may have a large influence on the package receiving heat degree under the scene, such as package receiving times, attendance conditions, package sending positions and the like, corresponding scene optimization parameters are set and are added to the initial heat degree attenuation formula, and the final heat degree attenuation formula can be obtained.
The heat attenuation formula meeting the heat requirement is as follows:
Score＝e-k(t-1)*ln(w+1)；
wherein, Score is a part acquisition heat Score, w is a scene optimization parameter, k is a heat attenuation coefficient, and t is a time interval between the current time and the historical part acquisition recording time.
After obtaining a plurality of historical item acquisition records, it can be known from a heat fading formula that the earlier the historical item acquisition records are obtained, the corresponding item acquisition heat score is lower, and for newly added scene optimization parameters, for example, the more the number of item acquisition times on the day of the historical item acquisition records are, the higher the corresponding item acquisition heat score is, and both the item acquisition heat score and the corresponding item acquisition heat score are exponentially faded or increased.
Specifically, the scene optimization parameters are set by the user according to a specific application scene, for example, for the times of picking the parts, it is considered that the same salesman may pick the parts for multiple times on the same day, in order to improve the calculation speed, the parameters of the times of picking the parts are increased, and on the other hand, in order to reduce the influence of batch picking of the parts on the attenuation of the hotness scores of the picking parts, the parameters of the times of picking the parts are logarithmized.
103. Counting the corresponding item acquisition popularity scores of the historical item acquisition records of the target operators, and determining the item acquisition popularity of the target operators based on the counting result;
in this embodiment, after the acquisition member popularity score of each historical acquisition member record is obtained through calculation, the same salespersons are counted, wherein the same salespersons can be screened through the object identifiers of the historical acquisition member records, the acquisition member popularity scores of the same salesperson are added, and the acquisition member popularity of the salesperson can be obtained, and so on until the acquisition member popularity of all salespersons is obtained. Here, the higher the popularity of the collection, the more the number of stable collection corresponding to the salesperson, i.e., the stronger the business ability.
104. And sequencing the target salesmen according to the package catching heat degree from high to low, and selecting one or more target salesmen in the front sequence as package catching salesmen to be packaged.
In this embodiment, the business members are arranged in sequence from high to low according to the package receiving heat, that is, the number of stable packages delivered by each business member in a fixed time period can be visually determined, so that the business capability of each business member is determined, the number of the packages distributed to each business member is determined, and the higher the package receiving heat, the more the number of the distributed packages.
In addition, after the push businessman is responsible for dispatching different express mails, the finished orders are used for learning in a self-adaptive mode and improving coefficients in the heat attenuation formula, if the algorithm prediction is wrong, the mail collection records after manual intervention can enter a database, and the prediction can be correct when the next prediction is carried out. The details are as follows:
(1) acquiring the latest component acquisition records of each target salesman, and updating the historical component acquisition records according to the latest component acquisition records;
(2) and adjusting relevant parameters in the heat attenuation formula based on the updated historical item acquisition records, wherein the relevant parameters comprise the heat attenuation coefficient and the one or more scene optimization parameters.
In the embodiment, after the salesperson finishes the delivery of the to-be-packaged express mails, a complete package-packaging record is generated, the record is updated to the database, whether the heat attenuation efficiency embodied by the values of the heat attenuation coefficient, one and/or a plurality of scene optimization parameters is consistent with the real situation or not is calculated through the updated package-packaging record, and the heat attenuation coefficient and/or the scene optimization parameters are modified correspondingly according to the positive and negative errors of the heat attenuation efficiency. And if the heat attenuation efficiency has a positive error, correspondingly reducing the heat attenuation coefficient and increasing the scene optimization parameters according to the magnitude of the positive error, and vice versa.
In addition, when the number of the operators in each area range is determined, the article collecting heat (representing the service capacity) of each operator can obtain the express delivery load capacity of the express delivery site in each area range, the area range of the article collecting and delivering can be selected to be re-divided, for example, the daily total article collecting quantity exceeds the service capacity of the total quantity of the operators, the area range can be properly reduced under the condition that the number of the operators in the original area range is not adjusted, the delivering area is reduced, the daily total article collecting quantity is enabled to be matched with the service capacity of the total quantity of the operators in the area, and otherwise, the corresponding area range can be properly enlarged. The area ranges are divided in an electronic fence mode, the electronic fence of the corresponding area can be automatically divided by the method to determine the area range of the new express delivery, and the specific dividing mode is as follows:
(1) counting the total number of normal target salesmen and the total number of to-be-picked express mails in different area ranges and comparing the total numbers one by one;
(2) and according to the comparison result, re-dividing the electronic fences corresponding to the area ranges, and determining the area ranges of new acquisition pieces of different target salesmen according to the electronic fences.
In the embodiment of the invention, the hot end attenuation coefficient in the hot end requirement information is obtained through the average working time of the salesman in the hot end requirement information, the initial heat collecting weight and the final heat collecting weight and is substituted into the initial hot end attenuation formula, and then new parameters such as a current heat collecting parameter, a position parameter, a attendance parameter and the like are added according to the current heat collecting scene requirement to obtain a final hot end attenuation formula; then, acquiring historical item acquisition records of the operators in the average working duration, and substituting the records into the heat attenuation formula to obtain item acquisition heat of each operator so as to represent the service capability of each operator and determine whether the operator leaves the work; and finally, distributing a corresponding number of to-be-pulled quick dispatches to different operators according to the hot degree of the pulling-out pieces, wherein the higher the hot degree of the pulling-out pieces is, the stronger the service capability is, the more the to-be-pulled quick dispatches are distributed, meanwhile, the operators with low hot degree of the pulling-out pieces are screened out, and the name list of the on-duty operators is updated. The reasonable distribution of the number of the express mails and the control of the on-duty business are realized.
Referring to fig. 2, a second embodiment of the package salesman recommendation method in the embodiment of the present invention includes:
201. acquiring one or more historical item acquisition records of a plurality of target operators, and acquiring heat demand information and an initial heat attenuation formula of all the item acquisition records of the operators;
202. determining the average on-duty time of all the operators, the initial item picking heat weight of the current time and the final item picking heat weight after the average on-duty time according to the heat demand information;
in this embodiment, the initial heat attenuation formula includes four parameters: the system comprises a heat attenuation coefficient, the average working time of all the operators, the initial heat collecting weight of the current time and the final heat collecting weight after the average working time, wherein the last three parameters can be set and uploaded by a user according to a scene so as to work out the heat attenuation coefficient and represent the heat attenuation rate of an initial heat attenuation formula under the scene.
Specifically, assuming that the average working time of the operator is 3 months, that is, 90 days, the initial heat collection weight of the current time is set to be 100, and the final heat collection weight after 90 days is reduced to 1, the three parameter values are substituted into the initial heat attenuation formula, so that the heat attenuation coefficient suitable for the scene can be obtained.
203. Calculating a heat attenuation coefficient in the initial heat attenuation formula according to the average working duration, the initial heat weight and the final heat weight;
in this embodiment, the initial heat attenuation formula is: t isn＝T0*e-ktWherein, TnIs the final heat weight of the package after the nth day, T0The average task duration is the heat weight of the current time, k is the heat attenuation coefficient, and t is the average task duration; and substituting the average working duration, the initial heat weight and the final heat weight of the collected parts under the scene requirements into the initial heat attenuation formula to obtain the heat attenuation coefficient suitable for the scene.
Specifically, T isn＝1，T0When t is equal to 90 and is substituted into the initial heat attenuation formula, k is equal to ln (100/1)/90 is equal to 0.05.
204. Substituting the heat attenuation coefficient into the initial heat attenuation formula, and adding one or more scene optimization parameters into the initial heat attenuation formula to obtain a heat attenuation formula meeting heat requirements;
in this embodiment, according to the actual service scenario, the scenario optimization parameters are introduced into the initialization heat attenuation formula, which includes a pickup number parameter, an attendance parameter, and a dispatch position parameter. For example, the heat number parameter w is added to the initial heat attenuation formula, and the influence of the batch heat number on the heat attenuation is reduced by taking logarithm of w, so that the following formula can be obtained:
Score＝e-k(t-1)*ln(w+1)；
205. when an acquisition request of a historical item acquisition record is received, analyzing the acquisition request to obtain an area range where the historical item acquisition record is located and an object identifier of a target salesman;
in this embodiment, the acquisition request at least carries an area range and an object identifier recorded in the current calling history package, where the area range may be a circular area, a polygonal area, or an irregular area, and may be represented by a set of coordinate points of a boundary contour, and the object identifier may be represented by identity information such as a service employee's work number, an identity card number, a mobile phone number, and the like.
206. Selecting historical item acquisition records which are positioned in the area range and carry the object identification information from a preset database;
in the embodiment, since the daily historical item acquisition records carry the geographical position coordinates of the item acquisition, the geographical position coordinates are preferably identified by the GPS positioning coordinates, and after the area range is determined, the historical item acquisition records belonging to the area range can be searched and acquired; further searching the historical item acquisition record with the object identification by taking the object identification as an index; and then, screening time conditions of the historical item collecting records, and only selecting the historical item collecting records in a time period from the current time to the average working time, for example, if the average working time is 90 days, obtaining the historical item collecting records from the current time to the past 90 days, wherein a time unit in the historical item collecting record time conditions is consistent with a time unit of the average working time, namely, the unit of the average working time is 'day', the time unit for screening the time conditions of the historical item collecting records is 'day', and the time unit is not required to be accurate to the hour, minute or second of the day.
207. Calculating the item collecting popularity score of each historical item collecting record by adopting the popularity attenuation formula;
208. counting the corresponding item acquisition popularity scores of the historical item acquisition records of the target operators, and determining the item acquisition popularity of the target operators based on the counting result;
209. sequentially judging whether the package receiving heat corresponding to each target salesman is lower than a preset package receiving heat threshold value or not;
210. if the current position is lower than the collecting heat threshold value, determining that the corresponding target salesman is abnormal in working, and removing the abnormal target salesman in working;
in this embodiment, it can be known through the heat fading algorithm that once the salesman does not start picking up the packages, the package heat recorded by the historical package is rapidly decreased, that is, if the salesman has no package dispatch within a recent period of time (for example, 1/20, 1/15 or more of the average duration of the time), the package heat is rapidly decreased, and when the package heat is decreased to be below the package heat threshold, it can be determined that the salesman is abnormal in job, for example, the salesman has left the job, and the salesman can be removed.
212. And sequencing the target salesmen according to the package catching heat degree from high to low, and selecting one or more target salesmen in the front sequence as package catching salesmen to be packaged.
In this embodiment, after the number of the normally-assigned salesmen in each current area range is confirmed, the delivery area range of each express delivery site is readjusted accordingly, or the number of the express mails of each salesmen in each area range is adjusted, the higher the mail picking popularity of the salesmen is, the stronger the business capability of the salesmen is, the higher the express mail picking popularity of the salesmen is, the more express mails to be picked are recommended to be responsible for the delivery, and otherwise, the number of the express mails to be picked by the salesmen is reduced.
In the embodiment of the invention, the derivation process of the heat fading formula is introduced in detail, and abnormal salesmen under the job can be screened out according to the package receiving heat of each salesmen, the number of the packages to be packaged of each salesmen can be redistributed, or the range of each region can be redefined, so that the automatic updating of the salesmen under the job and the more accurate distribution of the corresponding number of packages to each salesmen can be realized.
The method for recommending a package salesman in the embodiment of the present invention is described above, and a package salesman recommending device in the embodiment of the present invention is described below with reference to fig. 3, where an embodiment of the package salesman recommending device in the embodiment of the present invention includes:
the acquisition module 301 is used for acquiring one or more historical item acquisition records of a plurality of target salesmen, and acquiring heat demand information and an initial heat attenuation formula of all the salesmen item acquisition records;
a calculating module 302, configured to adjust the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with the heat demand, and calculate a component receiving heat score of each historical component receiving record by using the heat attenuation formula;
a statistic module 303, configured to count the item receiving popularity scores corresponding to the historical item receiving records of the target employees, and determine the item receiving popularity of each target employee based on a result of the counting;
and the recommending module 304 is used for sequencing the target salesmen from high to low according to the package popularity, and selecting one or more target salesmen in the top sequence as package salesmen to be packaged.
In the embodiment of the invention, the hot end attenuation coefficient in the hot end requirement information is obtained through the average working time of the salesman in the hot end requirement information, the initial heat collecting weight and the final heat collecting weight and is substituted into the initial hot end attenuation formula, and then new parameters such as a current heat collecting parameter, a position parameter, a attendance parameter and the like are added according to the current heat collecting scene requirement to obtain a final hot end attenuation formula; then, acquiring historical item acquisition records of the operators in the average working duration, and substituting the records into the heat attenuation formula to obtain item acquisition heat of each operator so as to represent the service capability of each operator and determine whether the operator leaves the work; and finally, distributing a corresponding number of to-be-pulled quick dispatches to different operators according to the hot degree of the pulling-out pieces, wherein the higher the hot degree of the pulling-out pieces is, the stronger the service capability is, the more the to-be-pulled quick dispatches are distributed, meanwhile, the operators with low hot degree of the pulling-out pieces are screened out, and the name list of the on-duty operators is updated. The reasonable distribution of the number of the express mails and the control of the on-duty business are realized.
Referring to fig. 4, another embodiment of the package salesman recommendation device in the embodiment of the present invention includes:
the acquisition module 301 is used for acquiring one or more historical item acquisition records of a plurality of target salesmen, and acquiring heat demand information and an initial heat attenuation formula of all the salesmen item acquisition records;
a calculating module 302, configured to adjust the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with the heat demand, and calculate a component receiving heat score of each historical component receiving record by using the heat attenuation formula;
a statistic module 303, configured to count the item receiving popularity scores corresponding to the historical item receiving records of the target employees, and determine the item receiving popularity of each target employee based on a result of the counting;
and the recommending module 304 is used for sequencing the target salesmen from high to low according to the package popularity, and selecting one or more target salesmen in the top sequence as package salesmen to be packaged.
Specifically, the calculating module 302 includes:
a formula building unit 3021, configured to determine, according to the heat demand information, an average working duration of all the employees, an initial package heat weight at the current time, and a final package heat weight after the average working duration; calculating a heat attenuation coefficient in the initial heat attenuation formula according to the average working duration, the initial heat weight and the final heat weight; substituting the heat attenuation coefficient into the initial heat attenuation formula, and adding one or more scene optimization parameters into the initial heat attenuation formula to obtain a heat attenuation formula meeting heat requirements;
the calculating unit 3022 is configured to calculate a package popularity score of each historical package record by using the popularity reduction formula.
Specifically, the obtaining module 301 is further configured to:
when an acquisition request of a historical item acquisition record is received, analyzing the acquisition request to obtain an area range where the historical item acquisition record is located and an object identifier of a target salesman;
selecting historical item acquisition records which are positioned in the area range and carry the object identification information from a preset database;
and screening historical acquisition condition records from the current time to the past average time period to obtain one or more historical acquisition condition records of each target salesman.
Specifically, the package salesman recommendation device further comprises a parameter adjustment module 305, and the parameter adjustment module 305 is configured to:
acquiring the latest component acquisition records of each target salesman, and updating the historical component acquisition records according to the latest component acquisition records;
and adjusting relevant parameters in the heat attenuation formula based on the updated historical item acquisition records, wherein the relevant parameters comprise the heat attenuation coefficient and the one or more scene optimization parameters.
Specifically, the package salesman recommendation device further comprises a removing module 306, and the removing module 306 is configured to:
sequentially judging whether the package receiving heat corresponding to each target salesman is lower than a preset package receiving heat threshold value or not;
and if the current position is lower than the collecting heat threshold value, determining that the corresponding target salesman is abnormal in working, and removing the abnormal target salesman in working.
Specifically, the package salesman recommendation device further comprises an area range updating module 307, and the area range updating module 307 is configured to:
counting the total number of normal target salesmen and the total number of to-be-picked express mails in different area ranges and comparing the total numbers one by one;
and according to the comparison result, re-dividing the electronic fences corresponding to the area ranges, and determining the area ranges of new acquisition pieces of different target salesmen according to the electronic fences.
Specifically, the heat attenuation formula meeting the heat requirement is as follows:
Score＝e-k(t-1)*ln(w+1)；
wherein, Score is a part acquisition heat Score, w is a scene optimization parameter, k is a heat attenuation coefficient, and t is a time interval between the current time and the historical part acquisition recording time.
In the embodiment of the invention, the derivation process of the heat fading formula is introduced in detail, and the abnormal salesmen in the job are screened out according to the package collecting heat of each salesmen, the number of the quick packages to be collected of each salesmen is redistributed, or the range of each area is redefined, so that the automatic updating of the salesmen in the job and the more accurate distribution of the corresponding number of the quick packages to each salesmen are realized.
The package attendant recommendation device in the embodiment of the present invention is described in detail in terms of the modular functional entity in fig. 3 and 4, and the package attendant recommendation device in the embodiment of the present invention is described in detail in terms of the hardware processing.
Fig. 5 is a schematic structural diagram of a package service recommendation device according to an embodiment of the present invention, where the package service recommendation device 500 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of instructional operations on the package associate recommendation device 500. Further, the processor 510 may be configured to communicate with the storage medium 530 and execute a series of instruction operations in the storage medium 530 on the package attendant recommendation device 500.
The package attendant recommendation device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the structure of the cable attendant recommendation device shown in fig. 5 does not constitute a limitation of the cable attendant recommendation device, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
The invention also provides a package salesman recommendation device, which comprises a memory and a processor, wherein the memory is stored with computer readable instructions, and the computer readable instructions, when executed by the processor, enable the processor to execute the steps of the package salesman recommendation method in the above embodiments.
The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, having stored therein instructions, which, when executed on a computer, cause the computer to perform the steps of the package associate recommendation method.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A package salesman recommendation method is characterized by comprising the following steps:
acquiring one or more historical item acquisition records of a plurality of target operators, and acquiring heat demand information and an initial heat attenuation formula of all the item acquisition records of the operators;
adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula according with the heat demand, and calculating a piece collecting heat score of each historical piece collecting record by adopting the heat attenuation formula;
counting the corresponding item acquisition popularity scores of the historical item acquisition records of the target operators, and determining the item acquisition popularity of the target operators based on the counting result;
and sequencing the target salesmen according to the package catching heat degree from high to low, and selecting one or more target salesmen in the front sequence as package catching salesmen to be packaged.
2. The item pull attendant recommendation method according to claim 1, wherein the adjusting the initial heat decay formula based on the heat demand information to obtain a heat decay formula meeting the heat demand comprises:
determining the average on-duty time of all the operators, the initial item picking heat weight of the current time and the final item picking heat weight after the average on-duty time according to the heat demand information;
calculating a heat attenuation coefficient in the initial heat attenuation formula according to the average working duration, the initial heat weight and the final heat weight;
substituting the heat attenuation coefficient into the initial heat attenuation formula, and adding one or more scene optimization parameters into the initial heat attenuation formula to obtain a heat attenuation formula meeting the heat requirement.
3. The package associate recommendation method of claim 2, wherein said obtaining one or more historical package records for a plurality of target associates comprises:
when an acquisition request of a historical item acquisition record is received, analyzing the acquisition request to obtain an area range where the historical item acquisition record is located and an object identifier of a target salesman;
selecting historical item acquisition records which are positioned in the area range and carry the object identification information from a preset database;
and screening historical acquisition condition records from the current time to the past average time period to obtain one or more historical acquisition condition records of each target salesman.
4. The package attendant recommendation method according to claim 2, wherein after said selecting one or more top ranked target attendants as package attendants for packages to be pulled, further comprising:
acquiring the latest component acquisition records of each target salesman, and updating the historical component acquisition records according to the latest component acquisition records;
and adjusting relevant parameters in the heat attenuation formula based on the updated historical item acquisition records, wherein the relevant parameters comprise the heat attenuation coefficient and the one or more scene optimization parameters.
5. The package member businessman recommendation method according to claim 3, wherein after said statistics of package member popularity scores corresponding to historical package member records of each target businessman and based on the statistical results, determining package member popularity of each target businessman, further comprising:
sequentially judging whether the package receiving heat corresponding to each target salesman is lower than a preset package receiving heat threshold value or not;
and if the current position is lower than the collecting heat threshold value, determining that the corresponding target salesman is abnormal in working, and removing the abnormal target salesman in working.
6. The package attendant recommendation method according to claim 5, wherein after said selecting one or more top ranked target attendants as package attendants for packages to be pulled, further comprising:
counting the total number of normal target salesmen and the total number of to-be-picked express mails in different area ranges and comparing the total numbers one by one;
and according to the comparison result, re-dividing the electronic fences corresponding to the area ranges, and determining the area ranges of new acquisition pieces of different target salesmen according to the electronic fences.
7. The package salesman recommendation method according to any one of claims 1-6, wherein said heat decay formula meeting heat demand is:
Score＝e-k(t-1)*ln(w+1)；
wherein, Score is a part acquisition heat Score, w is a scene optimization parameter, k is a heat attenuation coefficient, and t is a time interval between the current time and the historical part acquisition recording time.
8. A package salesman recommendation device, characterized in that, the package salesman recommendation device comprises:
the acquisition module is used for acquiring one or more historical item acquisition records of a plurality of target salesmen and acquiring heat demand information and an initial heat attenuation formula of all the salesmen item acquisition records;
the calculation module is used for adjusting the initial heat attenuation formula based on the heat demand information to obtain a heat attenuation formula meeting the heat demand, and calculating the item receiving heat score of each historical item receiving record by adopting the heat attenuation formula;
the statistical module is used for counting the corresponding acquisition hot degree scores of the historical acquisition records of the target salesmen and determining the acquisition hot degree of the target salesmen based on the statistical result;
and the recommendation module is used for sequencing the target salesmen from high to low according to the package receiving popularity and selecting one or more target salesmen in the front sequence as package receiving salesmen to be packaged.
9. A package salesman recommendation device, characterized in that said package salesman recommendation device comprises: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the package associate recommendation device to perform the package associate recommendation method according to any one of claims 1-7.
10. A computer-readable storage medium, having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the package associate recommendation method according to any of claims 1-7.
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