CN109934667A - A kind of purchase order dynamic adjusting method, system, electronic equipment and storage medium - Google Patents

A kind of purchase order dynamic adjusting method, system, electronic equipment and storage medium Download PDF

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Publication number
CN109934667A
CN109934667A CN201910072391.0A CN201910072391A CN109934667A CN 109934667 A CN109934667 A CN 109934667A CN 201910072391 A CN201910072391 A CN 201910072391A CN 109934667 A CN109934667 A CN 109934667A
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order
purchase order
buying
sub
day
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CN109934667B (en
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傅峰峰
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Guangzhou Fugang Life Intelligent Technology Co Ltd
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Guangzhou Fugang Wanjia Intelligent Technology Co Ltd
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Abstract

The invention discloses a kind of purchase order dynamic adjusting method, system, electronic equipment and storage mediums, method includes the following steps: obtaining businessman per the inventory of restocking day by day, inventory includes product name and quantity;Purchase order is generated according to inventory, purchase order includes the sub- order of buying in multiple odd-numbered days;When reaching daily purchase order dynamic adjustment time point, the remaining quantity in stock of same day institute restocking commodity is obtained, the first adjustment amount of the sub- order of buying of next day in purchase order is determined according to remaining quantity in stock and updates the sub- order of the buying.This method can disposably generate more days procurement of commodities orders, and the purchase quantity of next day can be adjusted according to the sales situation dynamic on the same day, assess and modify without businessman oneself, the trouble of assessment modification subsequent procurement order is eliminated for businessman.

Description

A kind of purchase order dynamic adjusting method, system, electronic equipment and storage medium
Technical field
The present invention relates to procurement of commodities technical field more particularly to a kind of purchase order dynamic adjusting methods, system, electronics Equipment and storage medium.
Background technique
Currently, businessman generally requires to purchase daily for some commodity for needing to stock up daily, businessman needs daily It finds time to arrange shopping list, it is very troublesome.If if businessman disposably purchases several days, after can not being estimated due to businessman Several days sale situations in face, if certain day occur it is unsalable, that subsequent purchase quantity needs to change, businessman need oneself according to reality Border situation goes to judge whether to need to modify purchase order.General editing order has certain time limit, and businessman may be within the time limit There is no the time to go to assess whether to need to modify purchase order, when determination needs to modify, has had been subjected to timeliness, can not modify.This Sample one will cause more unseasonable goods, and the commodity very short for some shelf-lifves may then be scrapped.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide a kind of purchase order dynamic adjustment sides Method can disposably generate more days procurement of commodities orders, and can adjust adopting for next day according to the sales situation dynamic on the same day Quantity is purchased, assesses and modifies without businessman oneself, the trouble of assessment modification subsequent procurement order is eliminated for businessman.
The second object of the present invention is to provide a kind of purchase order dynamic debugging system, can disposably generate more days Procurement of commodities order, and the purchase quantity of next day can be adjusted according to the sales situation dynamic on the same day, it is assessed without businessman oneself And modification, the trouble of assessment modification subsequent procurement order is eliminated for businessman.
The third object of the present invention is to provide a kind of electronic equipment, can disposably generate more days procurement of commodities and order It is single, and the purchase quantity of next day can be adjusted according to the sales situation dynamic on the same day, it assesses and modifies without businessman oneself, be quotient Family eliminates the trouble of assessment modification subsequent procurement order.
The fourth object of the present invention is to provide a kind of computer readable storage medium, the program operation in the storage medium When can disposably generate more days procurement of commodities orders, and the buying number of next day can be adjusted according to the sales situation dynamic on the same day Amount is assessed and is modified without businessman oneself, and the trouble of assessment modification subsequent procurement order is eliminated for businessman.
An object of the present invention adopts the following technical scheme that realization:
A kind of purchase order dynamic adjusting method, comprising the following steps:
Businessman is obtained per the inventory of restocking day by day, the inventory includes product name and quantity;
Purchase order is generated according to the inventory, the purchase order includes the sub- order of buying in multiple odd-numbered days;
When reaching daily purchase order dynamic adjustment time point, the remaining quantity in stock of same day institute restocking commodity is obtained, according to The residue quantity in stock determines the first adjustment amount of the sub- order of buying of next day in the purchase order and updates buying and orders It is single.
Further, purchase order is generated according to the inventory specifically:
The resourcing manifest ordered needed for determining businessman daily according to raw material needed for inventory and sole product;
Purchase order is generated according to the daily required resourcing manifest ordered.
Further, further comprising the steps of before updating the sub- order of the buying:
Information is sent to businessman to determine whether to adjust the sub- order of buying of next day in the purchase order;
If receiving the confirmation adjustment information of businessman's return, the sub- order of the buying is updated according to the first adjustment amount;
If receiving the not adjustment information of businessman's return, terminate current process.
Further, information is being sent to determine whether to adjust the sub- order of buying of next day in the purchase order to businessman Later, it if not receiving the feedback information of businessman, is defaulted as determining adjustment, buying is updated according to the first adjustment amount Order.
Further, further comprising the steps of:
It obtains the sale speed of the commodity of same day institute restocking and judges whether the sale speed is greater than preset threshold, it is described Preset threshold is sale speed average under normal circumstances;
If so, the activity information in inquiry point of sale periphery market;
When inquiring point of sale periphery market has preferential activity, according to the preferential movable date in market and the same day Speed is sold to adjust the commodity amount of the sub- order of buying during activity.
Further, the buying during activity is adjusted according to the sale speed on the preferential movable date in market and the same day The commodity amount of sub- order specifically:
The sale speed on the same day and the difference of preset threshold are calculated, sales volume increase rate is estimated according to the difference;
The sub- order of buying during activity is adjusted according to the preferential movable date in market and the sales volume increase rate Commodity amount.
Further, the first of the sub- order of buying for determining next day in the purchase order according to the remaining quantity in stock It is further comprising the steps of after adjustment amount:
The weather data for inquiring next day, determines that buying of next day in the purchase order is ordered according to the weather data of next day Single second adjustment amount;The sub- order of buying of next day is updated according to the first adjustment amount and the second adjustment amount.
The second object of the present invention adopts the following technical scheme that realization:
A kind of purchase order dynamic debugging system, comprising:
Commodity data acquiring unit, for obtaining businessman per the inventory of restocking day by day, the inventory includes quotient The name of an article claims and quantity;
Purchase order generation unit, for generating purchase order according to the inventory, the purchase order includes more The sub- order of the buying in a odd-numbered day;
Purchase order adjustment unit when for reaching daily purchase order dynamic adjustment time point, obtains the restocking of same day institute The remaining quantity in stock of commodity correspondingly adjusts buying of next day in the purchase order according to the size of the remaining quantity in stock Order.
The third object of the present invention adopts the following technical scheme that realization:
A kind of electronic equipment, including processor and memory, the memory is stored with executable computer program, described Processor can be read the computer program in the memory and run to realize purchase order dynamic as described above adjustment side Method.
The fourth object of the present invention adopts the following technical scheme that realization:
A kind of computer readable storage medium, the computer-readable recording medium storage have executable computer program, The computer program can realize purchase order dynamic adjusting method as described above when running.
Compared with prior art, the beneficial effects of the present invention are:
This method can disposably generate more days purchase orders, selling on the day of then obtaining when closing on close daily Situation is sold, to judge whether the purchase quantity for needing to adjust second day, the subsequent purchase quantity of purchase order is moved State adjustment;It realizes on the basis of disposably generating more days purchase orders, it can be automatically according to the sales situation dynamic on the same day The purchase quantity for adjusting next day is assessed and is modified without businessman oneself, and the trouble of assessment modification purchase order is eliminated for businessman.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of purchase order dynamic adjusting method provided by the invention.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination Example.
Referring to Fig. 1, it is a kind of flow diagram of purchase order dynamic adjusting method, comprising the following steps:
S1, businessman is obtained per the inventory of restocking day by day, the inventory includes product name and quantity;
S2, purchase order is generated according to the inventory, the purchase order includes the sub- order of buying in multiple odd-numbered days;
When S3, the daily purchase order dynamic adjustment time point of arrival, the remaining quantity in stock of same day institute restocking commodity, root are obtained The first adjustment amount of the sub- order of buying of next day in the purchase order is determined according to the remaining quantity in stock and updates buying Order.
This method can disposably generate more days purchase orders, which is divided into multiple odd-numbered days as unit of one day The sub- order of buying, purchased according to the sub- order of the same day corresponding buying, then obtained when closing on and closing daily daily The sale situation on the same day is taken to adopt to judge whether the sub- order of the buying for needing to adjust second day so that purchase order is subsequent Purchasing sub- order can be adjusted with automatic dynamic.
In this way, businessman primary property can formulate more days sub- orders of buying in system, then formed one it is total Purchase order, in soon winding-up daily, system obtains the quantity in stock of commodity automatically, is then adjusted according to quantity in stock The sub- order of buying in second day.That is, after businessman has formulated more days sub- orders of buying, if there is the change of extraneous factor Change such as the previous day many unseasonable goods, system then automatically can correspondingly be reduced the purchase quantity of second day sub- order of buying, It is modified without businessman oneself, the trouble of modification purchase order is eliminated for businessman.
As a preferred embodiment, generating purchase order according to the inventory specifically: clear according to commodity Raw material needed for list and sole product determines the daily required resourcing manifest ordered of businessman;According to the daily required raw material ordered Inventory generates purchase order.Specifically, this method can also be used for the buying of raw material, is only replaced into molding commodity Raw material needed for making commodity.
As a preferred embodiment, before updating the sub- order of the buying, it is further comprising the steps of:
Information is sent to businessman to determine whether to adjust the sub- order of buying of next day in the purchase order;
If receiving the confirmation adjustment information of businessman's return, the sub- order of the buying is updated according to the first adjustment amount;
If receiving the not adjustment information of businessman's return, terminate current process.
In this manner, the opinion of businessman is first consulted before adjusting purchase order, if businessman, which confirms, agrees to that adjustment is adopted Order is purchased, then correspondingly adjusts purchase order;If the considerations of businessman is for other factors, it is believed that do not need to be adjusted, then The adjustment to the purchase order of second day can be cancelled to system feedback not adjustment information.It is mentioned by way of sending information Whether awake businessman, which needs, is adjusted, and adjustment amount system has calculated, and then businessman, which only needs to check, to be confirmed, nothing Businessman oneself is needed to calculate adjustment amount, it is more convenient;In addition, can also avoid some systems can not by way of validation of information The influence of the extra factor of consideration, a collection of commodity or certain client than having subscribed to second day if any client and businessman were originally pre- That orders eliminates, and businessman does not have in input system, and system is then only the adjustment that purchase order is carried out according to quantity in stock, if pressing Adjustment amount is adjusted like this, and the commodity amount of restocking in second day may generate shortage or unsalable situation, and businessman receives When to confirmation message, it can not adjust directly or oneself manually adjusts purchase quantity.Although which is gone back in this case It is that businessman's manual calculations is needed then to adjust, still, the thing that businessman is possible to forget customer subscription has little time modification buying Order, and this mode just avoids the appearance of such case well, when businessman receives confirmation message, can trigger businessman and think It rises, to avoid the occurrence of commodity shortage or unsalable situation.
As a preferred embodiment, secondary in the purchase order to determine whether to adjust sending information to businessman After the sub- order of buying of day, if not receiving the feedback information of businessman, it is defaulted as determining adjustment, according to the first adjustment Amount updates the sub- order of the buying.Sometimes, businessman may be since other busy things be without noticing portable computer etc., nothing Method learns information, and therefore, system will not receive businessman about whether the feedback information of adjustment purchase order, in such case Under, system default is confirmation adjustment, is directly correspondingly adjusted according to quantity in stock, by new buying in second day after adjustment Sub- order is sent to businessman.
As a preferred embodiment, further comprising the steps of:
It obtains the sale speed of the commodity of same day institute restocking and judges whether the sale speed is greater than preset threshold, it is described Preset threshold is sale speed average under normal circumstances;
If so, the activity information in inquiry point of sale periphery market;
When inquiring point of sale periphery market has preferential activity, according to the preferential movable date in market and the same day Speed is sold to adjust the commodity amount of the sub- order of buying during activity.
In the present embodiment, which is fruit juice, and an automatic vending machine is arranged in market, and businessman may be selected corresponding Product restocking is sold.The flow of the people in the sale situation of fruit juice and market has certain relationship, when that is held is excellent in market When favour activity, many new patrons can be attracted to go shopping, many people like drink fruit juices when going window-shopping, that is to say, that fruit juice Sell speed and can speed.Sometimes businessman does not know the activity in market, by this way, when certain day fruit juice is sold out soon When, the market where system can inquire the automatic vending machine automatically whether there is preferential activity.Generally, market activity can be persistently several It, at this point, system then can the sub- order of buying corresponding to the movable date by market purchase quantity adjustment, it is appropriate to increase buying Quantity increases the income of businessman.
Except through the sale speed on the same day come judge market whether have it is preferential activity except, can also be directly by automatic selling Cargo aircraft associates with the market on its periphery, when getting periphery market has preferential activity, can directly be pushed to businessman, make Businessman estimates whether need to increase purchase quantity according to the activity in market, specifically to increase how much.The buying of activity first day Quantity can voluntarily be assessed adjustment by businessman, activity is subsequent then come by system automatically according to first day sales situation it is further Adjustment, with the most suitable purchase quantity of determination.
As a preferred embodiment, being adjusted according to the sale speed on the preferential movable date in market and the same day The commodity amount of the sub- order of buying during activity specifically:
The sale speed on the same day and the difference of preset threshold are calculated, sales volume increase rate is estimated according to the difference;
The sub- order of buying during activity is adjusted according to the preferential movable date in market and the sales volume increase rate Commodity amount.
It is specific to estimate sales volume increase rate according to the sale speed on the same day and the difference of sale speed average on ordinary days Are as follows: the difference of the two can estimate the sales volume that this day can increase, the sale increased multiplied by one day selling time section Amount, can be pre- multiplied by sales volume increase rate by the purchase quantity of next day divided by you can get it the sales volume increase rate of sales volume on ordinary days Estimate the sales volume that next day may increase, the sub- order of original buying then can be adjusted according to this sales volume.
As a preferred embodiment, determining adopting for next day in the purchase order according to the remaining quantity in stock It is further comprising the steps of after the first adjustment amount for purchasing sub- order:
The weather data for inquiring next day, determines that buying of next day in the purchase order is ordered according to the weather data of next day Single second adjustment amount;The sub- order of buying of next day is updated according to the first adjustment amount and the second adjustment amount.
In addition, the sales situation and weather of commodity also have a much relations, such as the cold sales volume meeting of certain commodity in day It reduces, alternatively, the sales volume that rainstorm weather flow of the people also results in commodity less substantially reduces.Therefore, it can look into automatically in this way The weather for asking next day, the purchase quantity of next day is adjusted in conjunction with weather and the quantity in stock on the same day, avoids the occurrence of holdup in the sale of commodities Situation.
Particularly, the purchase order in the present embodiment may include multiple Shipping Address, and businessman can unify will be selected Commodity and corresponding quantity are added in the inventory of each Shipping Address, to form the shopping list of an entirety.This Sample one can be disposably by selected quotient if the commodity of restocking required for each automatic vending machine are just as Product, which respectively correspond, to be added in each Shipping Address, and without businessman, address is purchased one by one, convenient and efficient.And it ought be wherein individual When the quantity or type of automatic vending machine need to modify, then the inventory for individually modifying the automatic vending machine can be corresponded to. After businessman determines that the shopping list improves, after confirmation generates purchase order, then first purchase order is divided into according to address Multiple dispatching orders, it is each to dispense the sub- order of buying for being divided into multiple odd-numbered days in order as unit of one day again.
It is associated in addition, can also establish with the selling system of businessman, can obtain the pin of extensive stock from selling system Data are sold, the sales data of commodity can be analyzed, then provide corresponding suggestion to businessman based on the analysis results, for example, Certain commodity are often sold endless, then can suggest that businessman reduces the purchase quantities of these commodity later;And those are usually sold Complete commodity can then suggest that businessman suitably increases purchase quantity.It can be analyzed according to passing sales data, thus to businessman Previously set purchase order was adjusted.
As a preferred embodiment, can be by the flow of the people data of acquisition point of sale, according to recent flow of the people The flow of the people of data analysis prediction next day, the sub- order of buying of next day is adjusted according to the flow of the people predicted.Sometimes, quotient Family is not clear that possible businessman exists for the flow of the people situation of the point of sale when disposably formulating more days purchase orders Some day observes that there are many flow of the people in market, and then when formulating purchase order, daily purchase quantity is all according to this person Flow determines.May the same day be Saturday, flow of the people can be more, and on weekdays when flow of the people will greatly reduce, At this point, when the case where analyzing flow of the people, can then obtain flow of the people data and the nonworkdays when working day in this way Flow of the people data, then adjust purchase order according to corresponding flow of the people data.The analysis data can also be directly by short The modes such as letter are sent to businessman, so that businessman can refer to this analysis data when formulating purchase order backward, to avoid there is quotient The unsalable or short situation of product.
The present invention also provides a kind of purchase order dynamic debugging systems, comprising:
Commodity data acquiring unit, for obtaining businessman per the inventory of restocking day by day, the inventory includes quotient The name of an article claims and quantity;
Purchase order generation unit, for generating purchase order according to the inventory, the purchase order includes more The sub- order of the buying in a odd-numbered day;
Purchase order adjustment unit when for reaching daily purchase order dynamic adjustment time point, obtains the restocking of same day institute The remaining quantity in stock of commodity correspondingly adjusts buying of next day in the purchase order according to the size of the remaining quantity in stock Order.
By the system, businessman primary property can formulate more days sub- orders of buying in system, then formed one it is total Purchase order, in soon winding-up daily, system obtains the quantity in stock of commodity automatically, is then adjusted according to quantity in stock The sub- order of buying in second day.That is, after businessman has formulated more days sub- orders of buying, if there is the change of extraneous factor Change such as the previous day many unseasonable goods, system then automatically can correspondingly be reduced the purchase quantity of second day sub- order of buying, It is modified without businessman oneself, the trouble of modification purchase order is eliminated for businessman.
As a preferred embodiment, the system further includes flow of the people data capture unit and the analysis of flow of the people data Unit, the people's data on flows acquiring unit use camera, shoot video by camera to record the crowd passed by amount simultaneously Send video data to flow of the people data analysis unit, the identification of flow of the people data analysis unit carries out number knowledge to video data , do not obtain daily flow of the people data and daily in each period flow of the people data.By the stream of people for obtaining point of sale Data are measured, according to the flow of the people of recent flow of the people data analysis prediction next day, next day is adjusted according to the flow of the people predicted The sub- order of buying.Sometimes, businessman is when disposably formulating more days purchase orders, for the flow of the people of the point of sale Situation is not clear that possible businessman observes that there are many flow of the people in market in some day, then when formulating purchase order, daily Purchase quantity be all to be determined according to this flow of the people.May the same day be Saturday, flow of the people can be more, and on weekdays when Waiting flow of the people will greatly reduce, at this point, then the case where analyzing flow of the people, can obtain people when working day in this way Then flow of the people data when data on flows and nonworkdays adjust purchase order according to corresponding flow of the people data.This point Analysis data directly can also be sent to businessman by modes such as short messages, so that businessman can refer to this point when formulating purchase order backward Data are analysed, to avoid the situation for holdup in the sale of commodities or shortage occur.
In addition, flow of the people data analysis unit can also classify to crowd, such as the classification at age, the young, middle age and In old age, determine which age bracket the group Jing Guo the point of sale belongs to, so as to recommend one to businessman according to age bracket The commodity relatively popular in the age bracket a bit, these commodity are that the point of sale is currently unexistent.Further, it is also possible to carry out work Make classification of group, such as white collar group, blue collar group, building work group etc., to analyze its purchase according to work group Power, so as to the point of sale increase sell some consuming capacities for corresponding to work group herein commodity or its needed for Commodity.For example the wage of white collar group is relatively high, can compare pursuit quality of the life, although it is relatively high then to provide some prices But the good commodity of quality;And for building work group, it will usually compare and live frugally, then can provide some quality-high and inexpensive Commodity.
The present invention also provides a kind of electronic equipment, including processor and memory, the memory is stored with executable Computer program, the processor can be read the computer program in the memory and run to realize buying as described above Order dynamic adjusting method.
In addition, the present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage There is executable computer program, the computer program can realize purchase order dynamic adjusting method as described above when running. The computer-readable recording medium storage has computer program, if method of the invention is realized in the form of SFU software functional unit And when sold or used as an independent product, it can store in the computer storage medium.Based on this understanding, this hair All or part of the process in bright realization above-described embodiment method, can also be instructed by computer program relevant hardware come Complete, the computer program can be stored in a computer storage medium, the computer program when being executed by processor, The step of above-mentioned each embodiment of the method can be achieved.Wherein, the computer program includes computer program code, the calculating Machine program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer Storage medium may include: any entity or device, recording medium, USB flash disk, the movement that can carry the computer program code Hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate It is that the content that the computer storage medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer storage medium does not include electric carrier wave letter Number and telecommunication signal.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto, The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention Claimed range.

Claims (10)

1. a kind of purchase order dynamic adjusting method, which comprises the following steps:
Businessman is obtained per the inventory of restocking day by day, the inventory includes product name and quantity;
Purchase order is generated according to the inventory, the purchase order includes the sub- order of buying in multiple odd-numbered days;
When reaching daily purchase order dynamic adjustment time point, the remaining quantity in stock of same day institute restocking commodity is obtained, according to described Remaining quantity in stock determines the first adjustment amount of the sub- order of buying of next day in the purchase order and updates the sub- order of the buying.
2. purchase order dynamic adjusting method as described in claim 1, which is characterized in that adopted according to inventory generation Purchase order specifically:
The resourcing manifest ordered needed for determining businessman daily according to raw material needed for inventory and sole product;
Purchase order is generated according to the daily required resourcing manifest ordered.
3. purchase order dynamic adjusting method as described in claim 1, which is characterized in that update the sub- order of the buying it Before, it is further comprising the steps of:
Information is sent to businessman to determine whether to adjust the sub- order of buying of next day in the purchase order;
If receiving the confirmation adjustment information of businessman's return, the sub- order of the buying is updated according to the first adjustment amount;
If receiving the not adjustment information of businessman's return, terminate current process.
4. purchase order dynamic adjusting method as claimed in claim 3, which is characterized in that sending information to businessman with determination After the sub- order of buying for whether adjusting next day in the purchase order, if not receiving the feedback information of businessman, it is defaulted as It determines adjustment, the sub- order of the buying is updated according to the first adjustment amount.
5. purchase order dynamic adjusting method as described in claim 1, which is characterized in that further comprising the steps of:
It obtains the sale speed of the commodity of same day institute restocking and judges whether the sale speed is greater than preset threshold, it is described default Threshold value is sale speed average under normal circumstances;
If so, the activity information in inquiry point of sale periphery market;
When inquiring point of sale periphery market has preferential activity, according to the preferential movable date in market and the sale on the same day Speed adjusts the commodity amount of the sub- order of buying during activity.
6. purchase order dynamic adjusting method as claimed in claim 5, which is characterized in that according to the preferential movable date in market And the sale speed on the same day adjusts the commodity amount of the sub- order of buying during activity specifically:
The sale speed on the same day and the difference of preset threshold are calculated, sales volume increase rate is estimated according to the difference;
The quotient of the sub- order of buying during activity is adjusted according to the preferential movable date in market and the sales volume increase rate Product quantity.
7. purchase order dynamic adjusting method as described in claim 1, which is characterized in that true according to the remaining quantity in stock It is further comprising the steps of in the fixed purchase order after the first adjustment amount of the sub- order of buying of next day:
The weather data for inquiring next day determines the sub- order of buying of next day in the purchase order according to the weather data of next day Second adjustment amount;The sub- order of buying of next day is updated according to the first adjustment amount and the second adjustment amount.
8. a kind of purchase order dynamic debugging system characterized by comprising
Commodity data acquiring unit, for obtaining businessman per the inventory of restocking day by day, the inventory includes trade name Title and quantity;
Purchase order generation unit, for generating purchase order according to the inventory, the purchase order includes multiple lists The sub- order of buying of day;
Purchase order adjustment unit when for reaching daily purchase order dynamic adjustment time point, obtains same day institute restocking commodity Remaining quantity in stock, buying of next day in the purchase order is correspondingly adjusted according to the size of the remaining quantity in stock and is ordered It is single.
9. a kind of electronic equipment, which is characterized in that including processor and memory, the memory is stored with executable computer Program, the processor can be read the computer program in the memory and run to realize such as any one of claim 1 to 8 The purchase order dynamic adjusting method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has executable meter Calculation machine program, the computer program can realize that purchase order dynamic as claimed in any one of claims 1 to 8 adjusts when running Method.
CN201910072391.0A 2019-01-25 2019-01-25 Dynamic adjustment method and system for purchase order, electronic equipment and storage medium Active CN109934667B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110659946A (en) * 2019-10-09 2020-01-07 成都九洲电子信息系统股份有限公司 Product purchase quantity analysis method
CN111724205A (en) * 2020-06-17 2020-09-29 赵鹏 Vehicle equipment maintenance management expense assessment system and method

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101794148A (en) * 2010-03-10 2010-08-04 江南大学 Automatic management system for drinking devices
CN103971217A (en) * 2014-02-24 2014-08-06 浙江大学 Method and system of drug inventory management
CN104424541A (en) * 2013-08-26 2015-03-18 郑昌栋 Supermarket integrated management system
US20150363806A1 (en) * 2014-06-11 2015-12-17 Samsung Electro-Mechanics Co., Ltd. Product pricing apparatus for electronic information label system and method therefor
CN105574733A (en) * 2015-04-23 2016-05-11 田小平 Shared inventory offline and online selling method and system
CN105913209A (en) * 2016-04-14 2016-08-31 上海斐讯数据通信技术有限公司 Warehouse management system, warehouse management method and cargo distribution method
CN106952067A (en) * 2017-03-17 2017-07-14 杭州纳戒科技有限公司 Inventory management method, apparatus and system
CN108108968A (en) * 2017-12-19 2018-06-01 深圳市证通电子股份有限公司 Implementation method, equipment, system and the readable storage medium storing program for executing of payment administrative system
CN108171454A (en) * 2017-12-25 2018-06-15 康美药业股份有限公司 For marketing management method, equipment and computer readable storage medium
CN108629894A (en) * 2018-04-17 2018-10-09 合肥美的智能科技有限公司 Automatic replenishment method, system, sales counter and computer equipment
CN108710921A (en) * 2018-03-27 2018-10-26 佛山市欢腾电子有限公司 A kind of long-range control method of unmanned supermarket, system
CN109166232A (en) * 2018-07-19 2019-01-08 深圳市赛亿科技开发有限公司 A kind of automatic vending machine control method and system

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101794148A (en) * 2010-03-10 2010-08-04 江南大学 Automatic management system for drinking devices
CN104424541A (en) * 2013-08-26 2015-03-18 郑昌栋 Supermarket integrated management system
CN103971217A (en) * 2014-02-24 2014-08-06 浙江大学 Method and system of drug inventory management
US20150363806A1 (en) * 2014-06-11 2015-12-17 Samsung Electro-Mechanics Co., Ltd. Product pricing apparatus for electronic information label system and method therefor
CN105574733A (en) * 2015-04-23 2016-05-11 田小平 Shared inventory offline and online selling method and system
CN105913209A (en) * 2016-04-14 2016-08-31 上海斐讯数据通信技术有限公司 Warehouse management system, warehouse management method and cargo distribution method
CN106952067A (en) * 2017-03-17 2017-07-14 杭州纳戒科技有限公司 Inventory management method, apparatus and system
CN108108968A (en) * 2017-12-19 2018-06-01 深圳市证通电子股份有限公司 Implementation method, equipment, system and the readable storage medium storing program for executing of payment administrative system
CN108171454A (en) * 2017-12-25 2018-06-15 康美药业股份有限公司 For marketing management method, equipment and computer readable storage medium
CN108710921A (en) * 2018-03-27 2018-10-26 佛山市欢腾电子有限公司 A kind of long-range control method of unmanned supermarket, system
CN108629894A (en) * 2018-04-17 2018-10-09 合肥美的智能科技有限公司 Automatic replenishment method, system, sales counter and computer equipment
CN109166232A (en) * 2018-07-19 2019-01-08 深圳市赛亿科技开发有限公司 A kind of automatic vending machine control method and system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110659946A (en) * 2019-10-09 2020-01-07 成都九洲电子信息系统股份有限公司 Product purchase quantity analysis method
CN110659946B (en) * 2019-10-09 2023-07-21 成都九洲电子信息系统股份有限公司 Product purchase quantity analysis method
CN111724205A (en) * 2020-06-17 2020-09-29 赵鹏 Vehicle equipment maintenance management expense assessment system and method
CN111724205B (en) * 2020-06-17 2021-08-10 乐清市凡山电器有限公司 Vehicle equipment maintenance management expense assessment system and method

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