CN114792222A - Supervision method, system and device applied to electronic product wholesale - Google Patents
Supervision method, system and device applied to electronic product wholesale Download PDFInfo
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Abstract
The invention discloses a supervision method, a system and a device applied to electronic product wholesale; belonging to the technical field of electronic product wholesale; the electronic products in different states in different stages of a wholesale process are screened out by comprehensively monitoring and analyzing warehousing, shelving and transaction of different types of electronic products, the electronic products in different states in different stages are analyzed and evaluated by combining the electronic products in different states in different stages, the electronic products in the best money and the worst money can be screened out, replenishment and shelving are carried out in a targeted manner, the best money can be efficiently and orderly delivered, the bad money can be timely shelved so as to introduce new money, and the overall effect of electronic product wholesale supervision is effectively improved; the invention is used for solving the technical problem that the supervision effect of wholesale of electronic products is poor because the wholesale of different types of electronic products cannot be monitored and analyzed in an all-round way in the existing scheme.
Description
Technical Field
The invention relates to the technical field of electronic product wholesale, in particular to a supervision method, a supervision system and a supervision device applied to electronic product wholesale.
Background
Electronic products are related products based on electric energy.
When the existing supervision scheme applied to electronic product wholesale is implemented, shelf loading and replenishment are only carried out based on inventory and transaction conditions of electronic products, dynamic monitoring and early warning prompting can not be carried out on the whole process of warehousing, shelf loading and transaction wholesale of electronic products of different types in a self-adaptive manner, and the monitoring effect of the electronic product wholesale of different types is poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a supervision method, a system and a device applied to electronic product wholesale, which are used for solving the technical problem that the supervision effect of electronic product wholesale is poor because the wholesale of different types of electronic products cannot be monitored and analyzed in an all-around manner in the existing scheme.
The purpose of the invention can be realized by the following technical scheme:
the supervision method applied to electronic product wholesale comprises the following steps:
monitoring and counting the warehousing condition of the electronic products every day to obtain a warehousing collection of the electronic products; performing numerical processing on each item of data in the warehousing set to obtain a first extraction set; the warehousing set comprises the product type, the warehousing quantity and the warehousing time of the electronic product;
monitoring and counting the shelf loading conditions of the electronic products every day to obtain a shelf loading set of the electronic products; performing numerical processing on each item of data in the shelving set to obtain a second extraction set; the shelving set comprises a shelving area, shelving time and browsing volume of the electronic product;
monitoring and counting the transaction conditions of the electronic products every day to obtain a transaction set of the electronic products; carrying out numerical processing on each item of data in the transaction set to obtain a third extraction set;
the transaction set comprises the amount of orders of the electronic products, the amount of products to be traded, the amount of orders not to be traded and the amount of products not to be traded;
respectively calculating and analyzing the first extraction set, the second extraction set and the third extraction set to obtain a first calculation set containing warehousing coefficients, a second calculation set containing shelving coefficients and a third calculation set containing ex-warehouse coefficients; the first calculation set, the second calculation set and the third calculation set form a monitoring total set;
and analyzing and prompting the wholesale conditions of different types of electronic products according to the monitoring collection.
Further, the specific step of obtaining the first extraction set includes:
acquiring the product types, warehousing quantities and warehousing time of electronic products in a warehousing set;
matching the product type with a pre-constructed product association table to obtain a corresponding product association value and marking the product association value as CG; the product association table is composed of electronic products of different types and corresponding product association values, and the electronic products of different types are preset with one corresponding product association value;
extracting the numerical value in the warehousing quantity and marking the numerical value as RS; setting the warehousing time of the electronic product as a first time stamp;
the marked product correlation value, the warehousing quantity and the first time stamp form a first extraction set;
calculating each item of data marked in the first extraction set through a formula to obtain a storage coefficient RKX of the electronic product; the formula RKX = CG RS;
analyzing the warehousing coefficient to obtain a warehousing analysis set; the warehousing coefficients and the warehousing analysis set form a first calculation set.
Further, the specific step of obtaining the warehousing analysis set includes:
acquiring a corresponding product judgment threshold according to the product type, and matching the storage coefficient with the product judgment threshold;
if the warehousing coefficient is not larger than m% of the product judgment threshold, judging that the electronic product of the type is insufficient in stock and generating a first warehousing signal; m is a real number greater than zero; setting the electronic product of the type as a first warehousing product according to the first warehousing signal;
if the warehousing coefficient is larger than m% of the product judgment threshold and not larger than (200-m)%, judging that the electronic product inventory of the type is normal and generating a second warehousing signal;
if the warehousing coefficient is greater than (200-m)% of the product judgment threshold, judging that the electronic product inventory of the type is excessive and generating a third warehousing signal; setting the type of electronic products as second warehousing products according to the third warehousing signals;
and the first warehousing product, the second warehousing product, the first warehousing signal, the second warehousing signal and the third warehousing signal form a warehousing analysis set.
Further, the specific step of obtaining the second extraction set includes:
acquiring a shelving area, shelving time and browsing amount of electronic products in a shelving set;
setting different shelving areas to correspond to different area weights, matching the shelving areas in a shelving set with all shelving areas to obtain corresponding area weights, and marking the corresponding area weights as QQ;
extracting the numerical value of the browsing amount and marking the numerical value as LL; setting the shelf loading time as a second timestamp; acquiring a time difference between the second time stamp and the first time stamp and setting the time difference as a first time difference YS;
the marked region weight, the browsing volume, the second timestamp and the first time difference form a second extraction set;
calculating various items of data marked in the second extraction set through a formula to obtain a shelving factor SJX of the electronic product; the formula is SJX = QQ (a 1 LL-a2 YS + 0.2537); a1 and a2 are different scaling factors and are both greater than zero;
analyzing the racking coefficient to obtain a racking analysis set; the shelving coefficients and the shelving analysis set form a second calculation set.
Further, the specific steps of obtaining the on-shelf analysis set include:
acquiring a corresponding racking judgment range according to the product type, and matching the racking coefficient with the racking judgment range;
if the shelving coefficient is smaller than the minimum value of the shelving judging range, judging that the display effect of the electronic product on the shelf is poor and generating a first shelving signal; setting the corresponding electronic product as a first shelving product according to the first shelving signal;
if the shelving coefficient is not smaller than the minimum value of the shelving judging range and not larger than the maximum value of the shelving judging range, judging that the display effect of the electronic product on the shelf is normal and generating a second shelving signal;
if the shelving coefficient is larger than the maximum value of the shelving judging range, judging that the display effect of the electronic product on the shelf is good and generating a third shelving signal; setting the corresponding electronic product as a second shelving product according to the third shelving signal;
the first shelving product, the second shelving product, the first shelving signal, the second shelving signal and the third shelving signal form a shelving analysis set.
Further, the specific step of obtaining the third extraction set includes:
acquiring the transaction amount, the transaction product number, the non-transaction amount and the non-transaction product number of the electronic products in the transaction set;
respectively extracting the numerical values of the amount of the deal orders and the amount of the deal products and marking the numerical values as CC and CS;
respectively extracting the numerical values of the amount of undeployed orders and the amount of undeployed products and marking the numerical values as DD and DC;
the marked transaction orders, transaction product numbers, non-transaction orders and non-transaction product numbers form a third extraction set;
calculating each item of data marked in the third extraction set through a formula to obtain a transaction coefficient JYX of the electronic product; the formula is JYX = b1 CC/(DD +0.3652) + b2 CS/(DC + 0.8537); b1 and b2 are different scaling factors and are both greater than zero;
analyzing the transaction coefficient to obtain a transaction analysis set; the transaction coefficients and the transaction analysis set form a third calculation set.
Further, the specific steps of obtaining the transaction analysis set include:
acquiring a corresponding transaction judgment range according to the product type, and matching the transaction coefficient with the transaction judgment range;
if the transaction coefficient is smaller than the minimum value of the transaction judgment range, judging the transaction result difference of the electronic product and generating a first transaction signal; setting the electronic product corresponding to the product type as a first transaction product according to the first warehousing signal;
if the transaction coefficient is not smaller than the minimum value of the transaction judgment range and not larger than the maximum value of the transaction judgment range, judging that the transaction result of the electronic product is normal and generating a second transaction signal;
if the transaction coefficient is larger than the maximum value of the transaction judgment range, judging that the transaction result of the electronic product is excellent and generating a third transaction signal; setting the electronic product corresponding to the product type as a second transaction product according to the third warehousing signal;
the first transaction product, the second transaction product, the first transaction signal, the second transaction signal, and the third transaction signal comprise a transaction analysis set.
Further, the specific steps of analyzing and prompting the wholesale conditions of different types of electronic products according to the monitoring collection comprise:
acquiring a first calculation set, a second calculation set and a third calculation set in a monitoring total set;
matching a first warehousing product and a second warehousing product contained in the first calculation set, a first shelving product and a second shelving product contained in the second calculation set, and a first trading product and a second trading product contained in the third calculation set;
if the second warehousing product, the first shelving product and the first trading product are the same electronic product, judging that the overall effect of wholesale of the electronic product is poor and generating a shelving off signal; adding one to the shelf falling times of the electronic product according to the shelf falling signal; counting the total off-shelf times of all electronic products in a week, arranging the electronic products in a descending order, and setting the electronic product at the top of the row as an off-shelf product;
if the first warehousing product, the second shelving product and the second trading product are the same electronic product, judging that the overall effect of wholesale of the electronic product is good and generating a replenishment signal; adding one to the replenishment times of the electronic product according to the replenishment signal; counting the total replenishment times of all electronic products in a week, arranging the replenishment times in a descending order, and setting the electronic product at the head of the line as a replenishment product;
the shelf unloading signal, the goods supplementing signal, the shelf unloading products and the goods supplementing products form an analysis set of electronic product wholesale, corresponding early warning and prompting are sent to an administrator according to different signals in the analysis set, and therefore the administrator can timely unload the products and supplement the goods.
In order to solve the problems, the invention also provides a monitoring system applied to electronic product wholesale, which comprises a warehousing module, a shelving module, a transaction module, a calculation module and a management module;
the warehousing module is used for monitoring and counting the warehousing condition of the electronic products every day to obtain a warehousing collection of the electronic products; performing numerical processing on each item of data in the warehousing set to obtain a first extraction set; the warehousing set comprises the product type, the warehousing quantity and the warehousing time of the electronic product;
the shelving module is used for monitoring and counting the shelving conditions of the electronic products every day to obtain a shelving set of the electronic products; carrying out numerical processing on each item of data in the upper rack set to obtain a second extraction set; the shelving set comprises a shelving area, shelving time and browsing amount of the electronic product;
the transaction module is used for monitoring and counting the transaction conditions of the electronic products every day to obtain a transaction set of the electronic products; performing numerical processing on all data in the transaction set to obtain a third extraction set; the transaction set comprises the amount of orders of transaction, the number of products of transaction, the amount of orders of non-transaction and the number of products of non-transaction of the electronic products;
the calculation module is used for calculating and analyzing the first extraction set, the second extraction set and the third extraction set respectively to obtain a first calculation set containing warehousing coefficients, a second calculation set containing overhead coefficients and a third calculation set containing ex-warehouse coefficients; the first calculation set, the second calculation set and the third calculation set form a monitoring total set;
and the management module is used for analyzing and prompting the wholesale conditions of different types of electronic products according to the monitoring collection.
In order to solve the above problems, the present invention further provides a monitoring device applied to wholesale of electronic products, which is characterized by comprising at least one processor;
and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the above supervision method applied to electronic product wholesale.
Compared with the prior scheme, the invention has the beneficial effects that:
through the warehouse entry to the electronic product of different grade type, put on the shelf and the transaction carries out omnidirectional monitoring and analysis, select the electronic product of the different states in different stages of wholesale process, through alliing up the electronic product of the different states in different stages and carrying out the analysis aassessment to its wholesale's the whole condition, can select the electronic product of best money and worst money, and pertinence carry out replenishment and undercarriage, can make best money keep high efficiency and order's shipment, and the timely undercarriage of poor money so that introduce new money, the whole effect of electronic product wholesale supervision has effectively been improved.
Drawings
Fig. 1 is a schematic flow chart of a supervision method applied to electronic product wholesale according to the present invention.
Fig. 2 is a schematic block diagram of a monitoring system applied to electronic product wholesale according to the present invention.
Fig. 3 is a schematic structural diagram of a monitoring device applied to electronic product wholesale according to the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The terminology used herein is for the purpose of describing embodiments and is not intended to be limiting and/or limiting of the present disclosure; it should be noted that the singular forms "a," "an," and "the" include the plural forms as well, unless the context clearly indicates otherwise; also, although the terms first, second, etc. may be used herein to describe various elements, the elements are not limited by these terms, which are only used to distinguish one element from another.
Fig. 1 is a schematic flow chart of a monitoring method applied to electronic product wholesale according to an embodiment of the present invention. In the embodiment of the invention, the applied scene can be online electronic product wholesale, and is different from the situation that the prior scheme is only based on the inventory and transaction conditions of electronic products to carry out shelving and replenishment, and the whole process of warehousing, shelving and transaction wholesale of different types of electronic products cannot be adaptively dynamically monitored and early-warning prompted, so that the monitoring effect of the wholesale of the different types of electronic products is poor; the embodiment of the invention can realize the comprehensiveness and diversity of electronic product wholesale supervision, thereby effectively improving the overall effect of the electronic product wholesale supervision;
the supervision method applied to the electronic product wholesale comprises the following specific steps:
monitoring and counting the warehousing condition of the electronic products every day to obtain a warehousing collection of the electronic products; performing numerical processing on each item of data in the warehousing set to obtain a first extraction set; the warehousing set comprises the product type, the warehousing quantity and the warehousing time of the electronic product; the method comprises the following specific steps:
acquiring the product types, warehousing quantities and warehousing time of electronic products in a warehousing set; the product types of the electronic products include, but are not limited to, electronic watches, smart phones, computers, and game machines;
matching the product type with a pre-constructed product association table to obtain a corresponding product association value and marking the product association value as CG; the product association table is composed of different types of electronic products and corresponding product association values, and the corresponding product association values are preset in the different types of electronic products; the product association value can be set according to the wholesale price of the electronic product;
it should be noted that the purpose of constructing the product association table is to implement numeralization of different types of electronic products, so as to dynamically monitor and count the different types of electronic products;
extracting the numerical value in the warehousing quantity and marking the numerical value as RS; setting the warehousing time of the electronic product as a first timestamp;
the marked product correlation value, the warehousing quantity and the first time stamp form a first extraction set;
calculating and analyzing the first extraction set to obtain a first calculation set containing the storage coefficient; the method comprises the following steps:
calculating each item of data marked in the first extraction set through a formula to obtain a storage coefficient RKX of the electronic product; the formula RKX = CG RS;
in the embodiment of the invention, the warehousing coefficient is a numerical value for analyzing the state of the electronic product when the electronic product is stocked by combining the product related value with the warehousing quantity;
and (3) analyzing the warehousing coefficient:
acquiring a corresponding product judgment threshold according to the product type, and matching the warehousing coefficient with the product judgment threshold;
if the warehousing coefficient is not larger than m% of the product judgment threshold, judging that the electronic product of the type is insufficient in stock and generating a first warehousing signal; m is a real number greater than zero, and m can be 30 in the embodiment of the invention; setting the electronic product of the type as a first warehousing product according to the first warehousing signal;
if the warehousing coefficient is larger than m% of the product judgment threshold and not larger than (200-m)%, judging that the electronic product inventory of the type is normal and generating a second warehousing signal;
if the warehousing coefficient is greater than (200-m)% of the product judgment threshold, judging that the electronic product inventory of the type is excessive and generating a third warehousing signal; setting the type of electronic products as second warehousing products according to the third warehousing signal;
the first warehousing product, the second warehousing product, the first warehousing signal, the second warehousing signal and the third warehousing signal form a warehousing analysis set;
it should be noted that electronic products of different product types all correspond to a normal inventory range, in order to avoid that the inventory is too small or too much when the electronic products are distributed in batches, analysis and judgment need to be performed according to product judgment thresholds corresponding to different product types, and values of the product judgment thresholds corresponding to different electronic products are set based on distribution big data of several months or one year in the past;
the warehousing coefficient and the warehousing analysis set form a first calculation set;
in the embodiment of the invention, the electronic products with insufficient inventory and excessive inventory are screened out by monitoring and analyzing the warehousing condition of the electronic products before wholesale, and the electronic products can be reasonably supplemented in a self-adaptive manner based on the subsequent shelving condition and transaction condition of the electronic products, so that the replenishment effect of the electronic products is effectively improved, and the defect that the replenishment can only be blindly performed based on the sale condition in the existing scheme is overcome.
Monitoring and counting the shelving conditions of the electronic products every day to obtain a shelving set of the electronic products; carrying out numerical processing on each item of data in the upper rack set to obtain a second extraction set; the shelving set comprises a shelving area, shelving time and browsing amount of the electronic product; the specific steps for obtaining the second extraction set comprise:
acquiring a shelving area, shelving time and browsing amount of electronic products in a shelving set;
setting different shelving areas to correspond to different area weights, matching the shelving areas in the shelving set with all the shelving areas to obtain corresponding area weights, and marking the corresponding area weights as QQ;
wherein, the upper shelf area includes but is not limited to the first page, the middle and upper pages, the middle and lower pages and the lower page; setting different shelving areas corresponding to different area weights to perform modular processing and assignment on the areas displayed electronically so as to monitor and analyze the areas with different display area effects;
it should be noted that, in the wholesale display page of the electronic product on line, the exposure rate displayed on the home page is the largest, and the browsing chance obtained is also the largest, and similarly, the exposure rate displayed on the next page is the smallest, and the browsing chance obtained is also the smallest;
the method and the device are different from the method and the device for analyzing the browsing volume of the electronic product on shelf in the prior scheme, and the method and the device can be used for monitoring and analyzing the electronic product on shelf independently by performing modular processing on the display area of the electronic product, so that the accuracy and the comprehensiveness of the analysis on the display state of the electronic product on shelf can be effectively improved, and effective data support is provided for subsequent transaction adjustment and replenishment adjustment.
Extracting the numerical value of the browsing amount and marking the numerical value as LL; setting the shelf loading time as a second timestamp;
acquiring a time difference between the second time stamp and the first time stamp and setting the time difference as a first time difference YS; the unit of the time difference is hours;
the marked region weight, the browsing amount, the second timestamp and the first time difference form a second extraction set;
calculating and analyzing the second extraction set to obtain a second calculation set containing the warehousing coefficient; the method comprises the following steps:
calculating each item of data marked in the second extraction set through a formula to obtain a shelving factor SJX of the electronic product; the formula is SJX = QQ (a 1 LL-a2 YS + 0.2537); a1 and a2 are different proportionality coefficients and are both larger than zero, a1 can be 0.648, and a2 can be 0.324;
in the embodiment of the invention, the shelving factor is a numerical value obtained by analyzing the shelving state of an electronic product by combining the area weight corresponding to different areas after the electronic product is shelved with the browsing volume and the shelving duration; the shelving coefficient can be a negative number, and the smaller the shelving coefficient is, the worse the shelving state of the corresponding electronic product is; the shelf-loading judging ranges corresponding to different types of electronic products are different, so that the electronic products of different types can be processed in a targeted manner; when the shelving coefficient is analyzed and judged, the value of the shelving judgment range is still set according to the type of the corresponding electronic product and historical shelving big data;
analyzing the shelving coefficient, acquiring a corresponding shelving judgment range according to the product type, and matching the shelving coefficient with the shelving judgment range;
if the shelving coefficient is smaller than the minimum value of the shelving judgment range, judging that the display effect of the electronic product on the shelf is poor and generating a first shelving signal; setting the corresponding electronic product as a first shelving product according to the first shelving signal;
if the shelving coefficient is not smaller than the minimum value of the shelving judgment range and not larger than the maximum value of the shelving judgment range, judging that the display effect of the electronic product on the shelf is normal and generating a second shelving signal;
if the shelving coefficient is larger than the maximum value of the shelving judgment range, judging that the display effect of the electronic product on the shelf is good and generating a third shelving signal; setting the corresponding electronic product as a second shelving product according to the third shelving signal;
the first shelving product, the second shelving product, the first shelving signal, the second shelving signal and the third shelving signal form a shelving analysis set;
the shelving coefficient and the shelving analysis set form a second calculation set;
in the embodiment of the invention, the electronic products with poor display effect and good display effect are screened out by monitoring and analyzing the shelving conditions of different electronic products in different display areas of the shelving, so that data support can be provided for the subsequent analysis of the transaction condition of the electronic products, and the diversity and comprehensiveness of wholesale transaction analysis of the electronic products are improved.
Monitoring and counting the transaction condition of the electronic product every day to obtain a transaction set of the electronic product; carrying out numerical processing on each item of data in the transaction set to obtain a third extraction set; the transaction set comprises the amount of orders of the electronic products, the amount of products to be traded, the amount of orders not to be traded and the amount of products not to be traded; the specific steps of obtaining the third extraction set include:
acquiring the transaction amount, the transaction product number, the non-transaction amount and the non-transaction product number of the electronic products in the transaction set;
respectively extracting the numerical values of the amount of the deal orders and the amount of the deal products and marking the numerical values as CC and CS;
respectively extracting the numerical values of the number of undeployed orders and the number of undeployed products and marking the numerical values as DD and DC; the outstanding orders are orders placed but not paid in the same day, and orders added to the shopping cart but not paid in the same day;
the marked transaction orders, transaction product numbers, non-transaction orders and non-transaction product numbers form a third extraction set;
calculating and analyzing the third extraction set to obtain a third calculation set containing the warehousing coefficient; the method comprises the following steps:
calculating each item of data marked in the third extraction set through a formula to obtain a transaction coefficient JYX of the electronic product; the formula is JYX = b1 CC CS-b2 DD DC; b1 and b2 are different proportionality coefficients and are both larger than zero, b1 can be 5.634, and b2 can be 1.525;
it should be noted that the transaction coefficient is a numerical value for analyzing the transaction condition of the electronic product by combining transaction data of the electronic product and data to be paid; the larger the transaction coefficient is, the better the transaction condition corresponding to the wholesale of the electronic product is; when the transaction coefficient is analyzed and judged, the value of the transaction judgment range is still set according to the type of the corresponding electronic product and historical transaction big data.
Analyzing the transaction coefficient, acquiring a corresponding transaction judgment range according to the product type, and matching the transaction coefficient with the transaction judgment range;
if the transaction coefficient is smaller than the minimum value of the transaction judgment range, judging the transaction result difference of the electronic product and generating a first transaction signal; setting the electronic product corresponding to the product type as a first transaction product according to the first warehousing signal;
if the transaction coefficient is not smaller than the minimum value of the transaction judgment range and not larger than the maximum value of the transaction judgment range, judging that the transaction result of the electronic product is normal and generating a second transaction signal;
if the transaction coefficient is larger than the maximum value of the transaction judgment range, judging that the transaction result of the electronic product is excellent and generating a third transaction signal; setting the electronic product corresponding to the product type as a second transaction product according to the third warehousing signal;
the first transaction product, the second transaction product, the first transaction signal, the second transaction signal and the third transaction signal form a transaction analysis set; the transaction coefficient and the transaction analysis set form a third calculation set;
the first calculation set, the second calculation set and the third calculation set form a monitoring total set;
in the embodiment of the invention, the electronic products with poor transaction effect and good transaction effect are screened out by monitoring and analyzing the transaction conditions of the electronic products of different types, data support can be provided for the subsequent replenishment warehousing of the electronic products of different types, and the reasonability and comprehensiveness of replenishment warehousing in the wholesale process of the electronic products are improved.
Analyzing and prompting wholesale conditions of different types of electronic products according to the monitoring collection, and specifically comprising the following steps:
acquiring a first calculation set, a second calculation set and a third calculation set in a monitoring total set;
matching a first warehousing product and a second warehousing product contained in the first calculation set, a first shelving product and a second shelving product contained in the second calculation set, and a first trading product and a second trading product contained in the third calculation set;
if the second warehousing product, the first shelving product and the first trading product are the same electronic product, judging that the overall effect of wholesale of the electronic product is poor and generating a shelving off signal; adding one to the shelf falling times of the electronic product according to the shelf falling signal; counting the total off-shelf times of all electronic products in a week, arranging the electronic products in a descending order, and setting the electronic product at the top of the row as an off-shelf product;
if the first warehousing product, the second shelving product and the second trading product are the same electronic product, judging that the overall effect of wholesale of the electronic product is good and generating a replenishment signal; adding one to the replenishment times of the electronic product according to the replenishment signal; counting the total replenishment times of all electronic products in a week, arranging the replenishment times in a descending order, and setting the electronic product at the head of the line as a replenishment product;
the lower shelf signal, the goods supplementing signal, the lower shelf product and the goods supplementing product form an analysis set of electronic product wholesale, corresponding early warning and prompting are sent to a manager according to different signals in the analysis set, and therefore the manager can timely carry out product lower shelf and product goods supplementing.
It should be noted that by monitoring and analyzing different processes of wholesale of different types of electronic products every day, selecting products with poor states and products with good states in different processes in the same day, and counting monitoring conditions of different processes during wholesale of all types of electronic products in a week, the electronic products with the best money and the worst money can be selected, replenishment and shelving are performed in a targeted manner, the best money can be efficiently and orderly delivered, and the bad money can be timely shelved so as to introduce new money;
according to the embodiment of the invention, the processes of different modules in the wholesale process are analyzed and monitored by modularizing the wholesale processes of different types of electronic products, and finally, the monitoring results of all the modules are combined and different early warnings and prompts are implemented, so that the overall effect of electronic product wholesale supervision is effectively improved.
Referring to fig. 2, a schematic block diagram of a monitoring system applied to electronic product wholesale according to an embodiment of the present invention is shown. In this embodiment, the monitoring system applied to electronic product wholesale comprises a warehousing module, a shelving module, a transaction module, a calculation module and a management module;
the warehousing module is used for monitoring and counting the warehousing conditions of the electronic products every day to obtain a warehousing collection of the electronic products; performing numerical processing on each item of data in the warehousing set to obtain a first extraction set; the warehousing set comprises the product type, the warehousing quantity and the warehousing time of the electronic product;
the shelving module is used for monitoring and counting the shelving conditions of the electronic products every day to obtain a shelving set of the electronic products; carrying out numerical processing on each item of data in the upper rack set to obtain a second extraction set; the shelving set comprises a shelving area, shelving time and browsing amount of the electronic product;
the transaction module is used for monitoring and counting the transaction conditions of the electronic products every day to obtain a transaction set of the electronic products; performing numerical processing on all data in the transaction set to obtain a third extraction set; the transaction set comprises the amount of orders of transaction, the number of products of transaction, the amount of orders of non-transaction and the number of products of non-transaction of the electronic products;
the calculation module is used for calculating and analyzing the first extraction set, the second extraction set and the third extraction set respectively to obtain a first calculation set containing warehousing coefficients, a second calculation set containing overhead coefficients and a third calculation set containing ex-warehouse coefficients; the first calculation set, the second calculation set and the third calculation set form a monitoring total set;
and the management module is used for analyzing and prompting the wholesale conditions of different types of electronic products according to the monitoring collection.
Fig. 3 is a schematic structural diagram of a monitoring device applied to electronic product wholesale according to an embodiment of the present invention. In this embodiment, the supervision apparatus applied to the electronic product wholesale may include a processor, a memory, a communication bus, and a communication interface, and may further include a computer program stored in the memory and executable on the processor.
In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor is a control unit (ControlUnit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (e.g., a supervisor program applied to electronic product wholesale, etc.) and calling data stored in the memory.
The memory includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory may also be an external storage device of the electronic device in other embodiments, such as a plug-in removable hard drive, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device. The memory may also include both internal storage units and external storage devices of the electronic device. The memory can be used for storing not only application software installed in the electronic device and various data, such as codes applied to a supervision program of electronic product wholesale, etc., but also temporarily storing data that has been output or is to be output.
The communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. A bus is arranged to enable connection communication between the memory and at least one processor or the like.
The communication interface is used for communication between the electronic equipment and other equipment, and comprises a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.) that is commonly used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Fig. 3 shows only an electronic device with components, and those skilled in the art will appreciate that the structure shown in fig. 3 does not constitute a limitation of the electronic device, and may include fewer or more components than shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor through a power management device, so that functions such as charge management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, etc., which are not described herein again.
It is to be understood that the embodiments described are illustrative only and are not to be construed as limiting the scope of the claims. The supervision program stored in the memory of the electronic equipment and applied to the electronic product wholesale is a combination of a plurality of signals, and when the supervision program runs in the processor, implementation and running of each step of the supervision method applied to the electronic product wholesale can be realized.
Specifically, the specific implementation method of the processor for the above signals may refer to the description of the relevant steps in the embodiment corresponding to the drawing, and is not repeated here.
The electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic diskette, an optical disk, a computer Memory, a Read-Only Memory (ROM).
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the above modules is only one logical functional division, and other division manners may be available in actual implementation.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Claims (10)
1. The supervision method applied to the wholesale of electronic products is characterized by comprising the following steps:
respectively monitoring and counting the warehousing condition, the shelving condition and the transaction condition of the electronic products every day to obtain a warehousing set, a shelving set and a transaction set of the electronic products;
performing numerical processing on each item of data in the warehousing set, the shelving set and the transaction set respectively to obtain a first extraction set, a second extraction set and a third extraction set;
respectively calculating and analyzing the first extraction set, the second extraction set and the third extraction set to obtain a first calculation set containing warehousing coefficients, a second calculation set containing shelving coefficients and a third calculation set containing ex-warehouse coefficients;
and analyzing and prompting the wholesale conditions of the electronic products of different types according to the first calculation set, the second calculation set and the third calculation set in the monitoring total set.
2. The supervision method applied to electronic product wholesale according to claim 1, wherein the specific step of obtaining the first extraction set comprises:
acquiring and marking corresponding product correlation values according to the product types of the electronic products in the warehouse collection; extracting numerical values in the marked warehousing quantity; setting the warehousing time of the electronic product as a first timestamp;
the marked product association value, the warehousing quantity, and the first timestamp comprise a first extraction set.
3. The supervision method applied to electronic product wholesale according to claim 2, characterized in that each item of data in the first extraction set is subjected to simultaneous calculation to obtain a warehousing coefficient of the electronic product; the warehousing coefficient is a numerical value for analyzing the state of the electronic product when the electronic product is in stock by combining the product related value of the electronic product with the warehousing quantity;
analyzing the warehousing coefficient to obtain a warehousing analysis set comprising a first warehousing product, a second warehousing product, a first warehousing signal, a second warehousing signal and a third warehousing signal; the warehousing coefficients and the warehousing analysis set form a first calculation set.
4. The supervision method applied to electronic product wholesale according to claim 3, wherein the specific step of obtaining the second extraction set comprises:
acquiring corresponding area weight according to the shelving areas of the electronic products in the shelving set and marking the area weight; extracting numerical values of the label browsing amount; setting the shelf loading time as a second timestamp; acquiring a time difference between the second timestamp and the first timestamp and setting the time difference as a first time difference; the region weights of the tags, the volume of browsing, the second time stamp, and the first time difference constitute a second extraction set.
5. The supervision method applied to the wholesale of electronic products according to claim 4, wherein each item of data in the second extraction set is subjected to simultaneous calculation to obtain a shelf-loading coefficient of the electronic product; the shelving factor is a numerical value for analyzing the shelving state of the electronic product by combining the area weight corresponding to different areas after the electronic product is shelved with the browsing volume and the shelving duration;
analyzing the shelving coefficient to obtain a shelving analysis set comprising a first shelving product, a second shelving product, a first shelving signal, a second shelving signal and a third shelving signal; the shelving coefficients and the shelving analysis set form a second calculation set.
6. The supervision method applied to electronic product wholesale according to claim 5, wherein the specific step of obtaining the third extraction set comprises:
the numbers of the deal orders, deal product numbers and non-deal orders of the electronic products in the marked transaction set are respectively extracted, and the marked deal orders, deal product numbers, non-deal orders and non-deal product numbers form a third extraction set.
7. The supervision method applied to electronic product wholesale according to claim 6, wherein the transaction coefficient of the electronic product is obtained by performing simultaneous calculation on each item of data in the third extraction set; the transaction coefficient is a numerical value obtained by combining transaction data of the electronic product and data to be paid to analyze the transaction condition of the electronic product;
analyzing the transaction coefficient to obtain a transaction analysis set comprising a first transaction product, a second transaction product, a first transaction signal, a second transaction signal and a third transaction signal; the transaction coefficients and the transaction analysis set form a third calculation set.
8. The supervision method applied to electronic product wholesale as claimed in claim 7, wherein the different types of electronic products are pre-warned and prompted for replenishment and removal from shelves according to the first warehousing products and the second warehousing products in the first calculation set, the first shelving products and the second shelving products in the second calculation set, and the first trading products and the second trading products in the third calculation set.
9. The supervision system applied to electronic product wholesale is applied to the supervision method applied to the electronic product wholesale in any one of claims 1 to 8, and is characterized by comprising the following steps:
the warehousing module is used for monitoring and counting the warehousing condition of the electronic products every day to obtain a warehousing collection of the electronic products; performing numerical processing on each item of data in the warehousing set to obtain a first extraction set; the warehousing set comprises the product type, the warehousing quantity and the warehousing time of the electronic product;
the shelving module is used for monitoring and counting the shelving conditions of the electronic products every day to obtain a shelving set of the electronic products; carrying out numerical processing on each item of data in the upper rack set to obtain a second extraction set; the shelving set comprises a shelving area, shelving time and browsing amount of the electronic product;
the transaction module is used for monitoring and counting the transaction conditions of the electronic products every day to obtain a transaction set of the electronic products; performing numerical processing on all data in the transaction set to obtain a third extraction set; the transaction set comprises the amount of orders of the electronic products, the amount of products to be traded, the amount of orders not to be traded and the amount of products not to be traded;
the calculation module is used for calculating and analyzing the first extraction set, the second extraction set and the third extraction set respectively to obtain a first calculation set containing warehousing coefficients, a second calculation set containing overhead coefficients and a third calculation set containing ex-warehouse coefficients; the first calculation set, the second calculation set and the third calculation set form a monitoring total set;
and the management module is used for analyzing and prompting the wholesale conditions of different types of electronic products according to the monitoring collection.
10. Supervision device applied to electronic product wholesale is characterized by comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of supervision as applied to wholesale of electronic products according to any one of claims 1 to 8.
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