CN118096239A - Mobile phone shell processing, selling, tracking, managing and controlling system - Google Patents
Mobile phone shell processing, selling, tracking, managing and controlling system Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims abstract description 32
- 238000004458 analytical method Methods 0.000 claims abstract description 75
- 239000011257 shell material Substances 0.000 claims description 116
- 238000011156 evaluation Methods 0.000 claims description 39
- 239000000463 material Substances 0.000 claims description 31
- 238000004519 manufacturing process Methods 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 21
- 238000010606 normalization Methods 0.000 claims description 12
- 238000002360 preparation method Methods 0.000 claims description 10
- 239000002994 raw material Substances 0.000 claims description 10
- 238000007619 statistical method Methods 0.000 claims description 8
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- 238000012417 linear regression Methods 0.000 claims description 7
- 239000002131 composite material Substances 0.000 claims description 6
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Abstract
The invention discloses a mobile phone shell processing, selling, tracking and managing and controlling system, which belongs to the technical field of warehouse management systems and comprises a pre-sale analysis module, an after-sale analysis module, a feedback tracking module and a managing and controlling module. The management control module can adjust and control the stock quantity processed by the mobile phone shell according to the data analyzed by other modules, and the invention can intelligently distinguish and control the stock quantity according to whether the target mobile phone is formally sold or not, so that the sales condition of the mobile phone shell before the target mobile phone is sold can be predicted, the risk can be avoided on the premise of occupying the market, and the stock quantity of the mobile phone shell can be timely fed back and adjusted according to various factors after the target mobile phone is sold, so that the supply and sales chain of the mobile phone shell is more stable.
Description
Technical Field
The invention relates to the technical field of warehouse management systems, in particular to a mobile phone shell processing, selling, tracking, managing and controlling system.
Background
The processing link is the basis of sales, raw materials are converted into attractive mobile phone shell products through a fine process and a unique design, the sales link is the key of the display and realization of the processing results, the processed mobile phone shells are brought to the market through market research, pricing strategies and the selection of sales channels, the demands of consumers are met, the two together form a complete closed loop of the mobile phone shell industry chain, and the development and the enlargement of the industry are promoted.
Because there are multiple steps between the process of processing and producing the mobile phone shell and selling the mobile phone shell to the hands of the user, there is a time delay between the production amount and the actual demand amount, which results in that inventory stock is easily lost or is not required because the inventory amount of the mobile phone shell is directly fed back to the production department according to the sales condition, a system capable of reasonably controlling the processing and producing the inventory of the mobile phone shell is needed, and the sales amount of the mobile phone shell is difficult to predict before the mobile phone shell is sold corresponding to the mobile phone in the prior art, so that the manufacturer is difficult to reasonably prepare the mobile phone shell with a certain inventory for preempting the market to promote the income.
Disclosure of Invention
The invention aims to solve the problem that a system capable of reasonably controlling the processing production inventory of a mobile phone shell is lacking in the prior art, and provides a mobile phone shell processing, sales, tracking and management control system.
The aim of the invention can be achieved by the following technical scheme: the mobile phone shell processing, selling, tracking and managing and controlling system is characterized by comprising a pre-sale analysis module, an after-sale analysis module, a feedback tracking module and a managing and controlling module;
The pre-sale analysis module comprises a target pricing analysis unit, a pre-sale expected analysis unit and a pre-sale prediction analysis unit, wherein the target pricing analysis unit marks a mobile phone corresponding to the analyzed mobile phone shell as a target mobile phone, the target pricing analysis unit analyzes the mobile phone to obtain the market pricing of the target mobile phone, the pre-sale expected value is obtained through the analysis of the pre-sale expected analysis unit, and the pre-sale prediction analysis unit further analyzes the pre-sale predicted value of the target mobile phone by combining the market pricing and the pre-sale expected value;
The after-sales analysis module acquires and analyzes the mobile phone sales and mobile phone shell order quantity data to obtain an after-sales predicted value reflecting the sales of the mobile phone shell after the target mobile phone is sold;
The feedback tracking module comprises an evaluation feedback analysis unit and an alternation statistical analysis unit, wherein the evaluation feedback analysis unit analyzes according to the after-sale evaluation of the mobile phone shell to obtain an evaluation reference value for judging the market inverse loudness of the mobile phone shell, and the alternation statistical analysis unit analyzes the mobile phone shell material and the mobile phone update iteration speed to obtain an overlapped reference value and an overlapped reference value;
The management control module comprises a pre-sale preparation unit and an after-sale control and adjustment unit, wherein the pre-sale preparation unit is used for analyzing and calculating a pre-sale predicted value of a target mobile phone before the target mobile phone starts formal sale, controlling the stock quantity of the mobile phone shell in advance, and the after-sale control and adjustment unit is used for analyzing and calculating the stock quantity of the mobile phone shell according to the after-sale predicted value, the evaluation reference value, the machine-overlapping reference value and the shell-overlapping reference value after the target mobile phone starts formal sale.
As a preferred embodiment of the present invention, the target pricing analysis unit analyzes the following process:
the mobile phone corresponding to the analyzed mobile phone shell is recorded as a target mobile phone, and market pricing of the target mobile phone is obtained When the target mobile phone temporarily has no market pricing, acquiring the selling price of the past version type of the target mobile phone, when only one past version type exists, taking the selling price of the version type as the target mobile phone market pricing, when a plurality of past version types exist, drawing a scatter diagram of the selling price of the past version type and the date of the market, and carrying out linear regression analysis on the scatter diagram to obtain a linear regression model/>, wherein the selling price is related to the date of the marketAnd when no past version exists, obtaining three mobile phone selling prices with the highest sales volume of the current market target mobile phone manufacturer, calculating an average value of the three mobile phone selling prices, and taking the obtained average value as the market pricing of the target mobile phone.
As a preferred embodiment of the present invention, the pre-sale expected analysis unit analyzes the process specifically as follows:
Acquiring the number of related search terms and the click quantity of each related term of a target mobile phone in a plurality of network platforms, calculating the total click quantity of all related terms, and dividing the total click quantity by the number of the related search terms to obtain a search attention value of the target mobile phone Acquiring the number of on-line reserved watching people and the number of off-line reserved watching people of a target mobile phone release meeting, and respectively recording the number as an on-line preset/>And offline preset/>Substituting it into the formula/>Calculating to obtain reservation value/>Extracting a value of interest/>And reservation value/>Normalization processing is carried out, and each processed value is substituted into a preset model/>Wherein/>Are all preset weight factors to obtain the expected value before sale/>。
As a preferred embodiment of the present invention, the pre-sale prediction analysis unit specifically comprises the following analysis processes:
Acquiring the initial sales of past version models of target mobile phones, setting a time evaluation threshold, calculating the average initial sales of past version models within the time evaluation threshold range, and recording the average initial sales as initial prediction values of the target mobile phones Extracting a first predicted value, a pre-sale expected value and market pricing of a target mobile phone, carrying out normalization processing, and substituting processed data into a preset model/>Calculating to obtain the target mobile phone pre-sale predicted value/>Wherein/>All are preset weight factors, and e is a natural constant.
As a preferred embodiment of the present invention, the after-sales analysis module specifically performs the following analysis process on the after-sales predicted value:
Acquiring daily sales of a target mobile phone on a plurality of electronic commerce platforms and daily sales of all off-line stores, summing to obtain single-day sales of the target mobile phone, calculating the sum of the single-day sales and recording the sum as historical total sales Acquiring the total quantity of sales orders and the total quantity of orders sold to each buyer after the production of the mobile phone shell is completed, and marking each buyer with the mark of i in sequence, wherein the total quantity of orders and the total quantity of orders of each buyer are respectively recorded as/>Substituting into a preset formulaCalculating to obtain order reference value/>Substituting the total subscription amount and the total historical sales amount into a comparison formulaWhen comparing the results/>When the order reference value is smaller than 0, substituting the order reference value into a formulaIn the method, the after-sales predicted value/>, of the mobile phone shell sales is calculatedWhen comparing the results/>When the order reference value is more than or equal to 0, substituting the order reference value into a formula/>Calculating to obtain the after-sale predicted value/>, of the mobile phone shellWhereinAre all preset parameter factors.
As a preferred embodiment of the present invention, the evaluation feedback analysis unit analyzes the process specifically as follows:
obtaining the appearance score, the material score, the application score and the satisfaction score of the mobile phone shell, and respectively marking as Substituting it into a preset formula/>Calculating to obtain after-sales comprehensive scores corresponding to all e-commerce platforms, wherein/>Are all preset weight factors, andAcquiring the quantity of a return bill of a mobile phone shell and the return reason of each return bill, wherein the return reason comprises a plurality of preset options and is selected when a return is applied, three reason sets, namely a personal reason set, a commodity reason set and a platform reason set, are respectively set, each reason set consists of the preset options, all the preset options are covered by the three reason sets, the quantity of orders belonging to the preset options in the commodity reason sets is extracted and is recorded as a quality return bill quantity, the customer information of each purchase order is acquired, a data value N is bound for each first-time customer, the initial value of N is 1, when the customer subsequently purchases, N=n+1 is caused, the time of each customer purchase is recorded, the number of customers with the data value N being greater than 1 and the number of customers with N being greater than 0 are respectively recorded, the average value of comprehensive scores after all the electronic commerce platforms is recorded as an average value, the quality return ratio is calculated by dividing the quality return bill quantity, the composite purchase value is calculated and the total purchase ratio is obtained, and the quality return ratio is recorded as the composite ratioSubstituted into formula/>Calculating to obtain an evaluation reference value/>。
As a preferred embodiment of the present invention, the analysis process of the iterative statistical analysis unit specifically includes:
The method comprises the steps of recording users with the number of mobile phones purchased exceeding 2 as judgment clients, extracting the purchase date of each mobile phone of each judgment client, calculating the number of days between adjacent purchase dates of the same judgment client as a purchase interval, obtaining all the purchase intervals, removing the minimum value and the maximum value in the purchase interval, counting the number of the same purchase intervals as the same interval number, drawing a histogram of the same interval number with respect to the purchase interval, setting a date interval value, dividing a vertical axis into a plurality of small sections with the length equal to the date interval value, calculating the area of the column in each section and recording the area as discrete values, and extracting the maximum value in the discrete values as a machine-overlapping reference value Presetting a plurality of material sets, wherein each material set comprises a plurality of material types, the material types in the material sets cover all materials of the mobile phone shell raw materials, each material set corresponds to a preset durable value, the types and the proportions of the materials of the mobile phone shell production and processing raw materials are extracted, and the durable value corresponding to the material with the highest proportion is used as the durable value/>, of the mobile phone shellThe edge thickness and the back thickness of the mobile phone shell are respectively recorded asSubstituting the durability value, the edge thickness and the back surface thickness into the formula/>The shell-stack reference value/>, is obtained by calculation。
As a preferred embodiment of the present invention, the control process of the stock quantity by the pre-sale preparation unit is specifically as follows:
Acquiring a pre-sale predicted value of a target mobile phone, setting an inventory threshold value and an inventory predicted coefficient, calculating the product of the pre-sale predicted value and the inventory predicted coefficient and recording the product as an inventory predicted value of a mobile phone shell corresponding to the target mobile phone, comparing the inventory predicted value with the inventory threshold value, controlling the inventory quantity of the mobile phone shell to be equal to the inventory predicted value when the inventory predicted value is smaller than or equal to the inventory threshold value, and controlling the inventory quantity of the mobile phone shell to be equal to the inventory threshold value when the inventory predicted value is larger than the inventory threshold value.
As a preferred embodiment of the present invention, the control process of the after-sales control and regulation unit on the inventory is specifically as follows:
Obtaining after-market forecast values Evaluation reference value/>Overlap reference value/>And Shell iteration reference value/>Acquiring a time interval of the current distance from the release date of the target mobile phone and recording the time interval as a production time interval/>Production time interval/>With the machine overlap reference value/>Comparison, when produced, interval/>Less than the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference valuePost-normalization and production time interval/>Shell stack reference value/>Are substituted into formulaObtaining an inventory adjustment value KC, adjusting the inventory quantity to the inventory adjustment value KC, and isolating when in production/>Greater than or equal to the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference value/>Post-normalization and production time interval/>Shell stack reference value/>Are substituted into formulaThe inventory adjustment value KC is obtained, and the inventory quantity is adjusted to the inventory adjustment value KC.
Compared with the prior art, the invention has the beneficial effects that:
The system of the invention carries out deep analysis on market pricing, pre-sale expectancy and pre-sale forecast through the pre-sale analysis module, is beneficial to an enterprise to grasp market demands and trends more accurately, thereby making a more reasonable pricing strategy and sales plan, the after-sale analysis module can acquire and analyze mobile phone sales and mobile phone shell order data in real time, help the enterprise to quickly know the performance of products on the market, provide powerful support for subsequent inventory management and sales strategy adjustment, the feedback tracking module judges the market inverse loudness of the products through the evaluation reference value obtained by the analysis of the evaluation feedback analysis unit, the alternation statistics analysis unit can analyze and obtain the machine overlap reference value reflecting the mobile phone alternation period and the forecast value of the mobile phone shell alternation period, provide important references related to the mobile phone shell upgrading and iteration for the enterprise, the pre-sale preparation unit and the after-sale control adjustment unit in the management control module can pre-control and track and adjust the stock quantity of the mobile phone shell according to the market forecast and user feedback, effectively avoid the stock accumulation or outage condition, reduce the operation cost, and the whole decision making system can more effectively avoid the stock sales of the mobile phone shell of the enterprise through data analysis and processing, and help the enterprise to avoid the risk of the mobile phone shell.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a mobile phone shell processing, sales tracking and management control system includes a pre-sale analysis module, an after-sale analysis module, a feedback tracking module and a management control module.
The pre-sale analysis module comprises a target pricing analysis unit, a pre-sale expected analysis unit and a pre-sale prediction analysis unit, wherein the target pricing analysis unit marks a mobile phone corresponding to the analyzed mobile phone shell as a target mobile phone, the target pricing analysis unit analyzes the mobile phone to obtain the market pricing of the target mobile phone, the pre-sale expected value is obtained through the analysis of the pre-sale expected analysis unit, and the pre-sale prediction analysis unit further analyzes the pre-sale predicted value of the target mobile phone by combining the market pricing and the pre-sale expected value.
The target pricing analysis unit analyzes the process specifically as follows:
the mobile phone corresponding to the analyzed mobile phone shell is recorded as a target mobile phone, and market pricing of the target mobile phone is obtained When the target mobile phone temporarily has no market pricing, acquiring the selling price of the past version type of the target mobile phone, when only one past version type exists, taking the selling price of the version type as the target mobile phone market pricing, when a plurality of past version types exist, drawing a scatter diagram of the selling price of the past version type and the date of the market, and carrying out linear regression analysis on the scatter diagram to obtain a linear regression model/>, wherein the selling price is related to the date of the marketAnd when no past version exists, obtaining three mobile phone selling prices with the highest sales volume of the current market target mobile phone manufacturer, calculating an average value of the three mobile phone selling prices, and taking the obtained average value as the market pricing of the target mobile phone. The calculated market pricing is not necessarily the actual market pricing of the target mobile phone, but is only used for subsequent analysis and calculation of the invention and cannot be used in other aspects as the actual market pricing of the target mobile phone.
It should be noted that, the criterion of the past version model of the target mobile phone is to compare the device name of the target mobile phone with other device names of mobile phones already on the market, which are produced by the same manufacturer, and mark the mobile phone already on the market as the past version model of the target mobile phone when the device names of other mobile phones already on the market only have digital differences with the device names of the target mobile phone. Linear regression analysis is a method in the prior art for predicting future values of a random variable in relation to one or a set of independent variables based on their variance, and is not described in detail herein.
The pre-sale expected analysis unit obtains the quantity of related search terms of the target mobile phone in a plurality of network platforms and the click quantity of each related term, calculates the total click quantity of all the related terms and divides the total click quantity by the quantity of the related search terms to obtain the search attention value of the target mobile phoneAcquiring the number of on-line reserved watching people and the number of off-line reserved watching people of a target mobile phone release meeting, and respectively recording the number as an on-line preset/>And offline preset/>Substituting it into the formula/>Calculating to obtain reservation value/>Extracting a value of interest/>And reservation value/>Normalization processing is carried out, and each processed value is substituted into a preset modelWherein/>Are all preset weight factors, and the expected value before sale is obtained。
The expected value before sale can reflect the attention and the expected degree of the customer group on the target mobile phone in the current market, the higher the expected value before sale is, the more potential customers in the customer group are indicated, and the lower the expected value before sale is, the less potential customers in the customer group are indicated.
The pre-sale prediction analysis unit obtains the first sales volume of the past version model of the target mobile phone, wherein the first sales volume refers to the sales volume in the first day after formally marketing and release, sets a time evaluation threshold, calculates the average first sales volume of the past version model within the time evaluation threshold range and records the average first sales volume as the first prediction value of the target mobile phoneExtracting a first predicted value, a pre-sale expected value and market pricing of a target mobile phone, carrying out normalization processing, and substituting processed data into a preset modelCalculating to obtain the target mobile phone pre-sale predicted value/>Wherein/>All are preset weight factors, and e is a natural constant.
The time evaluation threshold is set in a unit of year, and the specific value is n years, and the average first sales amount refers to the average first sales amount of past versions of all target mobile phones issued by the manufacturer in the past n years, and is used as a first prediction value to predict the first sales amount of the target mobile phones.
The after-sales analysis module is used for analyzing sales of the mobile phone shell, and specifically comprises the following steps:
Acquiring daily sales of a target mobile phone on a plurality of electronic commerce platforms and daily sales of all off-line stores, summing to obtain single-day sales of the target mobile phone, calculating the sum of the single-day sales and recording the sum as historical total sales Acquiring the total quantity of sales orders and the total quantity of orders sold to each buyer after the production of the mobile phone shell is completed, and marking each buyer with the mark of i in sequence, wherein the total quantity of orders and the total quantity of orders of each buyer are respectively recorded as/>Substituting into a preset formulaCalculating to obtain order reference value/>Substituting the total subscription amount and the total historical sales amount into a comparison formulaAccording to the comparison result/>Substituting the order reference value into different formulas to calculate so as to determine the after-sales forecast value of the mobile phone shell, and comparing the result/>When the order reference value is smaller than 0, substituting the order reference value into a formulaIn the method, the after-sales predicted value/>, of the mobile phone shell sales is calculatedWhen comparing the result/>When the order reference value is more than or equal to 0, substituting the order reference value into a formula/>Calculating to obtain the after-sale predicted value/>, of the mobile phone shellWhereinAre all preset parameter factors.
It should be noted that each buyer does not have to subscribe only once, and the number of subscriptions is different, and the obtained data is the data up to now, and the data is updated in real time to ensure that the results of the calculation analysis can reflect the real-time sales situation.
The feedback tracking module comprises an evaluation feedback analysis unit and an alternation statistical analysis unit, wherein the evaluation feedback analysis unit analyzes according to the after-sale evaluation of the mobile phone shell to obtain an evaluation reference value for judging the market inverse loudness of the mobile phone shell, and the alternation statistical analysis unit analyzes the mobile phone shell material and the mobile phone update iteration speed to obtain an overlapped reference value and an overlapped reference value.
The evaluation feedback analysis unit obtains after-sale scores of all the electronic commerce platforms of the mobile phone shell, wherein the after-sale scores comprise appearance scores, material scores, application scores and satisfaction scores, and are respectively recorded asSubstituting it into a preset formula/>Calculating to obtain after-sales comprehensive scores corresponding to all e-commerce platforms, wherein/>Are all preset weight factors, and/>Acquiring the quantity of a return bill of a mobile phone shell and the return reason of each return bill, wherein the return reason comprises a plurality of preset options and is selected when a return is applied, three reason sets, namely a personal reason set, a commodity reason set and a platform reason set, are respectively set, each reason set consists of the preset options, all the preset options are covered by the three reason sets, the quantity of orders belonging to the preset options in the commodity reason sets is extracted and is recorded as a quality return bill quantity, the customer information of each purchase order is acquired, a data value N is bound for each first-time customer, the initial value of N is 1, when the customer subsequently purchases, N=n+1 is caused, the time of each customer purchase is recorded, the number of customers with the data value N being greater than 1 and the number of customers with N being greater than 0 are respectively recorded, the average value of comprehensive scores after all the electronic commerce platforms is recorded as an average value, the quality return ratio is calculated by dividing the quality return bill quantity, the composite purchase value is calculated and the total purchase ratio is obtained, and the quality return ratio is recorded as the composite ratioSubstituted into formula/>Calculating to obtain an evaluation reference value/>。
It should be noted that, each mobile phone shell needs to be registered when returning goods, and the corresponding reason party is selected from the preset plurality of reason options to finish returning goods, so that the return result can be obtained to the quantity of the return bill of the mobile phone shell and the reason of returning goods, and the customer distinction can be identified by the account name and the mobile phone number of the customer order, so that a unique identification code can be set for each customer and other customers can be distinguished, and each purchase of each customer can be conveniently recorded.
The method comprises the steps of screening out users with the number of mobile phones purchased exceeding 2 from users of a plurality of electronic commerce platforms, marking the users as judgment clients, extracting the purchase date of each mobile phone of each judgment client, calculating the number of days between adjacent purchase dates of the same judgment client as a purchase interval, obtaining all the purchase intervals, removing the minimum value and the maximum value in the purchase interval, counting the number of the same purchase interval as the same interval number, establishing a rectangular coordinate system by taking the number of days as a horizontal axis and the same interval number as a vertical axis, drawing a histogram of the same interval number about the purchase interval in the rectangular coordinate system, setting a date interval value, dividing the vertical axis into a plurality of small sections with the length equal to the date interval value, taking the date interval value as a positive integer, calculating the area sum of the columns in each section and marking the sum as discrete values, and extracting the maximum value in the discrete values as an overlapping reference valuePresetting a plurality of material sets, wherein each material set comprises a plurality of material types, the material types in the material sets cover all materials of the mobile phone shell raw materials, each material set corresponds to a preset durable value, the types and the proportions of the materials of the mobile phone shell production and processing raw materials are extracted, and the durable value corresponding to the material with the highest proportion is used as the durable value/>, of the mobile phone shellThe edge thickness and the back thickness of the cell phone case were obtained and respectively noted as/>Substituting the durability value, the edge thickness and the back thickness into a formulaThe shell-stack reference value/>, is obtained by calculation。
It should be noted that, the replacement of the mobile phone will affect the sales of the mobile phone shell, and when the target mobile phone is replaced in a large amount after reaching the service cycle, the sales of the corresponding mobile phone shell will also decrease, so the stacked reference value can reflect the sales stability cycle of the mobile phone shell laterally, in addition, the effect of different mobile phone shell service lives of the mobile phone shell raw materials is mainly reflected in yellowing, peeling, cracking, powdering and other aspects, so the service cycle of the mobile phone shell is affected by the raw materials, and the service cycle of the mobile phone shell is also affected by the thickness of the edge and the back of the mobile phone shell made of the same material.
The management control module comprises a pre-sale preparation unit and an after-sale control and adjustment unit, wherein the pre-sale preparation unit is used for analyzing and calculating a pre-sale predicted value of a target mobile phone before the target mobile phone starts formal sale, controlling the stock quantity of the mobile phone shell in advance, and the after-sale control and adjustment unit is used for analyzing and calculating the stock quantity of the mobile phone shell according to the after-sale predicted value, the evaluation reference value, the machine-overlapping reference value and the shell-overlapping reference value after the target mobile phone starts formal sale.
It should be noted that the stock quantity of the mobile phone shell refers to the sum of the quantity stored in the warehouse after the mobile phone shell is processed and the quantity which is not processed on the current production line, and the stock quantity is irrecoverable cost after the mobile phone shell is produced, so that the risk of the mobile phone shell production investment is controlled according to the relation of the stock quantity, the mobile phone shell production, processing and sales can be ensured to be in a stable chain relation by the proper stock quantity, the risk loss is avoided while the positive benefit of the mobile phone shell production is improved, the stock quantity can be controlled by increasing and decreasing the production line, raw material purchasing, processing time length increasing and decreasing, and the like, which is not repeated in the prior art.
The pre-sale preparation unit acquires a pre-sale predicted value of the target mobile phone, sets an inventory threshold value and an inventory predicted coefficient, calculates the product of the pre-sale predicted value and the inventory predicted coefficient and records the product as an inventory predicted value of the mobile phone shell corresponding to the target mobile phone, compares the inventory predicted value with the inventory threshold value, controls the inventory quantity of the mobile phone shell to be equal to the inventory predicted value when the inventory predicted value is smaller than or equal to the inventory threshold value, and controls the inventory quantity of the mobile phone shell to be equal to the inventory threshold value when the inventory predicted value is larger than the inventory threshold value.
The after-sale control and adjustment unit obtains the after-sale predicted valueEvaluation reference value/>Overlap reference value/>And a shell stack reference valueAcquiring a time interval of the current distance from the release date of the target mobile phone and recording the time interval as a production time interval/>The production time intervalWith the machine overlap reference value/>Comparison, when produced, interval/>Less than the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference value/>Post-normalization and production time interval/>Shell stack reference value/> Obtaining an inventory adjustment value KC, adjusting the inventory quantity to the inventory adjustment value KC, and isolating when in production/>Greater than or equal to the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference value/>Post-normalization and production time interval/>Shell stack reference value/>Are substituted into formulaThe inventory adjustment value KC is obtained, and the inventory quantity is adjusted to the inventory adjustment value KC.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The mobile phone shell processing, selling, tracking and managing and controlling system is characterized by comprising a pre-sale analysis module, an after-sale analysis module, a feedback tracking module and a managing and controlling module;
The pre-sale analysis module comprises a target pricing analysis unit, a pre-sale expected analysis unit and a pre-sale prediction analysis unit, wherein the target pricing analysis unit marks a mobile phone corresponding to the analyzed mobile phone shell as a target mobile phone, the target pricing analysis unit analyzes the mobile phone to obtain the market pricing of the target mobile phone, the pre-sale expected value is obtained through the analysis of the pre-sale expected analysis unit, and the pre-sale prediction analysis unit further analyzes the pre-sale predicted value of the target mobile phone by combining the market pricing and the pre-sale expected value;
The after-sales analysis module acquires and analyzes the mobile phone sales and mobile phone shell order quantity data to obtain an after-sales predicted value reflecting the sales of the mobile phone shell after the target mobile phone is sold;
The feedback tracking module comprises an evaluation feedback analysis unit and an alternation statistical analysis unit, wherein the evaluation feedback analysis unit analyzes according to the after-sale evaluation of the mobile phone shell to obtain an evaluation reference value for judging the market inverse loudness of the mobile phone shell, and the alternation statistical analysis unit analyzes the mobile phone shell material and the mobile phone update iteration speed to obtain an overlapped reference value and an overlapped reference value;
The management control module comprises a pre-sale preparation unit and an after-sale control and adjustment unit, wherein the pre-sale preparation unit is used for analyzing and calculating a pre-sale predicted value of a target mobile phone before the target mobile phone starts formal sale, controlling the stock quantity of the mobile phone shell in advance, and the after-sale control and adjustment unit is used for analyzing and calculating the stock quantity of the mobile phone shell according to the after-sale predicted value, the evaluation reference value, the machine-overlapping reference value and the shell-overlapping reference value after the target mobile phone starts formal sale.
2. The mobile phone shell processing sales tracking management control system according to claim 1, wherein the target pricing analysis unit analyzes the following steps:
the mobile phone corresponding to the analyzed mobile phone shell is recorded as a target mobile phone, and market pricing of the target mobile phone is obtained When the target mobile phone temporarily has no market pricing, acquiring the selling price of the past version type of the target mobile phone, when only one past version type exists, taking the selling price of the version type as the target mobile phone market pricing, when a plurality of past version types exist, drawing a scatter diagram of the selling price of the past version type and the date of the market, and carrying out linear regression analysis on the scatter diagram to obtain a linear regression model/>, wherein the selling price is related to the date of the marketAnd when no past version exists, obtaining three mobile phone selling prices with the highest sales volume of the current market target mobile phone manufacturer, calculating an average value of the three mobile phone selling prices, and taking the obtained average value as the market pricing of the target mobile phone.
3. The mobile phone shell processing sales tracking management control system according to claim 2, wherein the pre-sale expected analysis unit analysis process specifically comprises the following steps:
Acquiring the number of related search terms and the click quantity of each related term of a target mobile phone in a plurality of network platforms, calculating the total click quantity of all related terms, and dividing the total click quantity by the number of the related search terms to obtain a search attention value of the target mobile phone Acquiring the number of on-line reserved watching people and the number of off-line reserved watching people of a target mobile phone release meeting, and respectively recording the number as an on-line preset/>And offline preset/>Substituting it into the formula/>Calculating to obtain reservation value/>Extracting a value of interestAnd reservation value/>Normalization processing is carried out, and each processed value is substituted into a preset model/>Wherein/>Are all preset weight factors to obtain the expected value before sale/>。
4. The mobile phone shell processing, sales and tracking management control system according to claim 3, wherein the pre-sale prediction analysis unit analyzes the following steps:
Acquiring the initial sales of past version models of target mobile phones, setting a time evaluation threshold, calculating the average initial sales of past version models within the time evaluation threshold range, and recording the average initial sales as initial prediction values of the target mobile phones Extracting a first predicted value, a pre-sale expected value and market pricing of a target mobile phone, carrying out normalization processing, and substituting processed data into a preset modelCalculating to obtain the target mobile phone pre-sale predicted value/>Wherein/>All are preset weight factors, and e is a natural constant.
5. The mobile phone shell processing, sales and tracking management control system according to claim 1, wherein the after-sales analysis module is configured to analyze the after-sales predicted value as follows:
Acquiring daily sales of a target mobile phone on a plurality of electronic commerce platforms and daily sales of all off-line stores, summing to obtain single-day sales of the target mobile phone, calculating the sum of the single-day sales and recording the sum as historical total sales Acquiring the total quantity of sales orders and the total quantity of orders sold to each buyer after the production of the mobile phone shell is completed, and marking each buyer with the mark of i in sequence, wherein the total quantity of orders and the total quantity of orders of each buyer are respectively recorded as/>Substituting into a preset formulaCalculating to obtain order reference value/>Substituting the total subscription amount and the total historical sales amount into a comparison formulaWhen comparing the results/>When the order reference value is smaller than 0, substituting the order reference value into a formulaIn the method, the after-sales predicted value/>, of the mobile phone shell sales is calculatedWhen comparing the results/>When the order reference value is more than or equal to 0, substituting the order reference value into a formula/>Calculating to obtain the after-sale predicted value/>, of the mobile phone shellWhereinAre all preset parameter factors.
6. The mobile phone shell processing sales tracking management control system according to claim 5, wherein the evaluation feedback analysis unit analyzes the following steps:
obtaining the appearance score, the material score, the application score and the satisfaction score of the mobile phone shell, and respectively marking as Substituting it into a preset formula/>Calculating to obtain after-sales comprehensive scores corresponding to all e-commerce platforms, wherein/>Are all preset weight factors, andAcquiring the quantity of a return bill of a mobile phone shell and the return reason of each return bill, wherein the return reason comprises a plurality of preset options and is selected when a return is applied, three reason sets, namely a personal reason set, a commodity reason set and a platform reason set, are respectively set, each reason set consists of the preset options, all the preset options are covered by the three reason sets, the quantity of orders belonging to the preset options in the commodity reason sets is extracted and is recorded as a quality return bill quantity, the customer information of each purchase order is acquired, a data value N is bound for each first-time customer, the initial value of N is 1, when the customer subsequently purchases, N=n+1 is caused, the time of each customer purchase is recorded, the number of customers with the data value N being greater than 1 and the number of customers with N being greater than 0 are respectively recorded, the average value of comprehensive scores after all the electronic commerce platforms is recorded as an average value, the quality return ratio is calculated by dividing the quality return bill quantity, the composite purchase value is calculated and the total purchase ratio is obtained, and the quality return ratio is recorded as the composite ratioSubstituted into formula/>Calculating to obtain an evaluation reference value/>。
7. The system of claim 6, wherein the analysis process of the alternation statistical analysis unit is specifically as follows:
The method comprises the steps of recording users with the number of mobile phones purchased exceeding 2 as judgment clients, extracting the purchase date of each mobile phone of each judgment client, calculating the number of days between adjacent purchase dates of the same judgment client as a purchase interval, obtaining all the purchase intervals, removing the minimum value and the maximum value in the purchase interval, counting the number of the same purchase intervals as the same interval number, drawing a histogram of the same interval number with respect to the purchase interval, setting a date interval value, dividing a vertical axis into a plurality of small sections with the length equal to the date interval value, calculating the area of the column in each section and recording the area as discrete values, and extracting the maximum value in the discrete values as a machine-overlapping reference value Presetting a plurality of material sets, wherein each material set comprises a plurality of material types, the material types in the material sets cover all materials of the mobile phone shell raw materials, each material set corresponds to a preset durable value, the types and the proportions of the materials of the mobile phone shell production and processing raw materials are extracted, and the durable value corresponding to the material with the highest proportion is used as the durable value/>, of the mobile phone shellThe edge thickness and the back thickness of the mobile phone shell are respectively recorded asSubstituting the durability value, the edge thickness and the back surface thickness into the formula/>The shell-stack reference value/>, is obtained by calculation。
8. The mobile phone shell processing sales tracking management control system according to claim 4, wherein the control process of the stock quantity by the pre-sale preparation unit is specifically as follows:
Acquiring a pre-sale predicted value of a target mobile phone, setting an inventory threshold value and an inventory predicted coefficient, calculating the product of the pre-sale predicted value and the inventory predicted coefficient and recording the product as an inventory predicted value of a mobile phone shell corresponding to the target mobile phone, comparing the inventory predicted value with the inventory threshold value, controlling the inventory quantity of the mobile phone shell to be equal to the inventory predicted value when the inventory predicted value is smaller than or equal to the inventory threshold value, and controlling the inventory quantity of the mobile phone shell to be equal to the inventory threshold value when the inventory predicted value is larger than the inventory threshold value.
9. The mobile phone shell processing, sales and tracking management control system according to claim 7, wherein the after-sales control and adjustment unit controls the stock amount as follows:
Obtaining after-market forecast values Evaluation reference value/>Overlap reference value/>And Shell iteration reference value/>Acquiring a time interval of the current distance from the release date of the target mobile phone and recording the time interval as a production time interval/>Production time interval/>With the machine overlap reference value/>Comparison, when produced, interval/>Less than the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference value/>Post-normalization and production time interval/>Shell stack reference value/>Are substituted into formulaObtaining an inventory adjustment value KC, adjusting the inventory quantity to the inventory adjustment value KC, and isolating when in production/>Greater than or equal to the machine-superimposed reference value/>At the time, after-market predictive value/>Evaluation reference value/>Post-normalization and production time interval/>Shell stack reference value/>Are substituted into formulaThe inventory adjustment value KC is obtained, and the inventory quantity is adjusted to the inventory adjustment value KC.
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