CN108280930B - Replenishment method and device for self-service vending machine, storage medium and computer equipment - Google Patents

Abstract

The invention relates to a replenishment method and device for a self-service vending machine, a storage medium and computer equipment, wherein the method comprises the following steps: acquiring a historical selling speed set corresponding to the current self-service vending machine, and acquiring a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set; acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data; when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, the current self-service vending machine is judged to be a self-service vending machine to be replenished, and the first replenishment time point is used as the replenishment time point of the current self-service vending machine. The invention can save manpower and material resources and improve operation efficiency.

Description

Replenishment method and device for self-service vending machine, storage medium and computer equipment

Technical Field

The invention relates to the technical field of computers, in particular to a replenishment method and device for a self-service vending machine, a storage medium and computer equipment.

Background

The self-service vending machine is a machine for taking goods and paying money by a customer, the self-service vending machine can be seen in various shopping malls and large public places, and the self-service vending machine brings great convenience for people to go out.

In the traditional technology, the replenishment of the self-service vending machine is usually carried out by operators according to self intuition and experience to judge which machines need replenishment and the replenishment time, but the replenishment method has great difference with the actual reasonable replenishment time, so that unnecessary manpower and material resources are wasted, and the operation efficiency is low.

Disclosure of Invention

Therefore, it is necessary to provide a replenishment method, a replenishment device, a replenishment storage medium, and a computer device for a self-service vending machine to save manpower and material resources and improve operation efficiency.

A method of restocking a vending machine, the method comprising:

acquiring a historical selling speed set corresponding to the current self-service vending machine, and acquiring a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set;

acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data;

when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, the current self-service vending machine is judged to be a self-service vending machine to be replenished, and the first replenishment time point is used as the replenishment time point of the current self-service vending machine.

In one embodiment, the first replenishment parameter set comprises at least one of estimated shortage amount, shortage loss percentage, shortage commodity percentage, and selling time of the goods channel.

In one embodiment, the method further comprises:

when each first replenishment parameter in the first replenishment parameter set does not exceed a corresponding preset threshold value, obtaining a second pre-estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set;

obtaining a second replenishment parameter set of the current vending machine from a second replenishment time point according to the second estimated sales speed set and the current state data;

and when at least one second replenishment parameter in the second replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine needing replenishment, and taking the second replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, the step of obtaining a historical selling speed set corresponding to the current self-service vending machine, and obtaining a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set comprises:

calculating a first average selling speed corresponding to each time point in a preset number of days and a second average selling speed corresponding to each time point in a preset number of weeks according to the historical selling speed set;

and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

In one embodiment, the method further comprises:

sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points of the self-service vending machines to be replenished;

generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished;

and sending the replenishment recommendation list to a terminal corresponding to an operator.

In one embodiment, the step of generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of replenishment to be replenished of each self-service vending machine comprises:

obtaining a self-service vending machine set to be maintained according to the fault data;

the step of generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished comprises the following steps:

and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

In one embodiment, the step of acquiring the current status data of the current vending machine comprises:

receiving the goods channel shortage data sent by a terminal corresponding to an operator;

acquiring the current inventory and preset goods channel capacity of the current vending machine;

and obtaining the current shortage according to the shortage of the goods on the goods channel, the preset capacity of the goods channel and the current inventory.

A replenishment device for a vending machine, the device comprising:

the selling speed estimating module is used for acquiring a historical selling speed set corresponding to the current self-service vending machine and obtaining a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set;

the replenishment parameter calculation module is used for acquiring current state data of the current self-service vending machine and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated selling speed set and the current state data;

and the judging module is used for judging that the current self-service vending machine is a self-service vending machine to be replenished and taking the first replenishment time point as the replenishment time point of the current self-service vending machine when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value.

A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the steps of the method of restocking a vending machine as described above.

A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the replenishment method for a vending machine as described above.

The replenishment method, the replenishment device, the storage medium and the computer equipment of the self-service vending machine are characterized in that a historical selling speed set corresponding to the current self-service vending machine is firstly obtained, a first estimated selling speed set ending from the current time point to a first replenishment time point of the current self-service vending machine is obtained according to the historical selling speed set, then current state data of the current self-service vending machine is obtained, a first replenishment parameter set corresponding to the first replenishment time point is obtained according to the first estimated selling speed set and the current state data, when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, the current self-service vending machine is judged to be a self-service vending machine to be replenished, the first replenishment time point is taken as the replenishment time point of the current self-service vending machine, and whether replenishment is needed or not is automatically judged through a server, compared with the traditional technology in which the operator judges according to experience and intuition, the method saves manpower and material resources and improves operation efficiency.

Drawings

FIG. 1 is a diagram of an environment in which a method of replenishment for a vending machine may be used in one embodiment;

FIG. 2 is a flow diagram of a replenishment method for a vending machine in one embodiment;

FIG. 3 is a flow chart of a replenishment method for the vending machine in another embodiment;

FIG. 4 is a flowchart illustrating the steps of step S210 of FIG. 2 according to one embodiment;

FIG. 5 is a flow chart of a replenishment method for the vending machine in yet another embodiment;

FIG. 6 is a diagram of a displayed replenishment recommendation list interface of a terminal corresponding to an operator in one embodiment;

FIG. 7 is a flow diagram of steps for obtaining current status data for a current vending machine, under an embodiment;

fig. 8 is an inventory reporting interface diagram displayed by a terminal corresponding to an operator in one embodiment;

FIG. 9 is a block diagram of a replenishment mechanism of the vending machine in one embodiment;

FIG. 10 is a block diagram showing the construction of a replenishment mechanism of the vending machine according to another embodiment;

FIG. 11 is a block diagram showing the construction of a replenishment mechanism of the vending machine in accordance with still another embodiment;

FIG. 12 is a diagram showing an internal configuration of a computer device according to an embodiment.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed as broadly as the present invention is capable of modification in various respects, all without departing from the spirit and scope of the present invention.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

Fig. 1 is a diagram of an application environment of a replenishment method for a vending machine provided in an embodiment, as shown in fig. 1, in the application environment, including a vending machine 110, a server 120, and a terminal 130, wherein the vending machine 110 and the server 120 are connected through a network, and the server 120 and the terminal are connected through a network.

The server 120 may be an independent physical server or terminal, may be a server cluster composed of a plurality of physical servers, and may be a cloud server providing basic cloud computing services such as a cloud server, a cloud database, a cloud storage, and a CDN. The terminal 110 may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, and the like.

In one embodiment, as shown in fig. 2, a replenishment method for a vending machine is provided, which is described by taking the method as an example applied to the server 120 in fig. 1, and includes:

step S210, obtaining a historical selling speed set corresponding to the current self-service vending machine, and obtaining a first estimated selling speed set of the current self-service vending machine from the current time point to a first replenishment time point according to the historical selling speed set.

Specifically, the server corresponds to at least one vending machine, and when more than two vending machines exist, each vending machine can be sequentially used as the current vending machine. Each self-service vending machine is built-in to set up a plurality of goods way, and the goods way is carried out the sign through the serial number, places a commodity in each goods way. If a certain self-service vending machine comprises 20 goods channels 01, 02, 03, … … and 20, wherein the 01 goods channel is provided with the Parsley cola, the 02 goods channel is provided with the pulsating purified water, the 03 goods channel is provided with the Wanglaoji cold tea, and the … … and 20 goods channels are provided with the unified ice black tea. The selling speed refers to the accumulated value of the selling speeds of all goods channels in one hour, wherein the selling speed of the goods channels refers to the selling quantity of the corresponding goods of a single goods channel in one hour, and if the selling quantity of the goods channel containing the Pebae in 13 o 'clock of a certain day is 3, the selling speed of the goods channel at 13 o' clock of the day is 3. The historical selling speed set refers to a set formed by selling speeds corresponding to all time points in a preset time period before the current time point of the current self-service vending machine.

In this embodiment, each time the self-service vending machine sells a commodity, the commodity is reported to the server, the server counts the selling speeds of the commodity channels corresponding to the commodity channels according to the received reported information, and the selling speeds of the commodity channels are accumulated to obtain the selling speed corresponding to the self-service vending machine.

Further, the first replenishment time refers to a first replenishment time set by the operator in advance relative to the current first replenishment time, for example, if some operators replenish the replenishment twice a day, replenish the replenishment at 13 am, and replenish the replenishment at 24 pm, 13 am is the first replenishment time. In this embodiment, the server may estimate the future sales speed at a certain time point according to the historical sales speed at the certain time point to obtain an estimated sales speed, and for example, estimate the sales speed at 12 points on the next day according to the sales speed at 12 points on each day in the previous four days to obtain an estimated sales speed at 12 points on the next day.

Step S220, obtaining current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated selling speed set and the current state data.

In particular, current status data refers to data relating to the status of the vending machine. In one embodiment, the current state data includes a current shortage amount and a current inventory amount, wherein the current shortage amount refers to a sum of current channel shortage amounts corresponding to each channel of the self-service vending machine, and the current channel shortage amount refers to a difference value between channel capacity and the current inventory amount.

In this embodiment, the server obtains a first replenishment parameter set corresponding to a first replenishment time point according to the obtained current state data and the pre-estimated sales speed set, where the first replenishment parameter is a set formed by replenishment parameters of the current self-service vending machine from the current time point to the first replenishment time point, and is used to determine whether the current vending machine needs replenishment at the first replenishment time point.

In one embodiment, the first replenishment parameter comprises at least one of an estimated shortage, a shortage loss percentage, a shortage commodity percentage, and a selling time of the goods channel.

The estimated shortage quantity refers to the estimated shortage quantity of the self-service vending machine from the current time point to the first replenishment time point, and the calculation method comprises the following steps: the estimated shortage amount is the sum of the current shortage amount, the estimated sales speed of the remaining time period today, and the estimated sales speed corresponding to each time point ending at the first replenishment time point of the next day in the morning of the next day, for example, the current time is 22 points, the first replenishment time is 6 points of the next day, the estimated sales speed of 23 points today is 10, and the estimated sales speeds of 6 points ending in the next morning of the next day are respectively: 8,7,6,2,0,1, and the current stock shortage is 15, the expected stock shortage is: 15+10+8+7+6+2+0+1 ═ 49.

The loss of the missing goods is the accumulated value of the loss of the missing goods of the goods channel corresponding to each goods channel, wherein the loss of the missing goods of the goods channel can be calculated by the following method: the loss of the goods in the goods way is the ideal sales-the current inventory, wherein the ideal sales is the sum of the estimated sales speed of each time point from the current time point to the first replenishment time.

The ratio of the out-of-stock loss is the ratio of the out-of-stock loss to the ideal sales volume. The out-of-stock commodity proportion is the ratio of the quantity corresponding to the out-of-stock commodity type to the quantity corresponding to the total commodity type, and each commodity channel corresponds to one type of commodity, so the out-of-stock commodity proportion can also be the ratio of the out-of-stock channel number to the total commodity channel number, and if the out-of-stock channel number of the current self-service vending machine is 5 and the total commodity channel number is 20, the out-of-stock commodity proportion is 40%.

The selling time of the goods channel refers to the difference between the selling dates of all goods in a certain goods channel and the current date, and if the selling date of all goods in a certain goods channel of the current self-service vending machine is 12 months 20, and the current date is 12 months 27, the selling time of the goods channel is one week.

Step S230, when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is a self-service vending machine to be replenished, and taking the first replenishment time point as the replenishment time point of the current self-service vending machine.

Specifically, each replenishment parameter has a preset threshold, and when any replenishment parameter in the first replenishment parameter set exceeds the corresponding preset threshold, the server determines that the current self-service vending machine is a self-service vending machine to be replenished, and takes the first replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, in order to minimize the replenishment times, the server determines the current vending machine as the vending machine to be replenished when more than two replenishment parameters exceed a preset threshold. And if the estimated shortage amount reaches the corresponding preset threshold value and the shortage loss reaches the corresponding preset threshold value, judging the current self-service vending machine as the self-service vending machine to be replenished.

In the embodiment, the server firstly acquires a historical selling speed set corresponding to the current self-service vending machine, acquires a first estimated selling speed set from the current time point to a first replenishment time point of the current self-service vending machine according to the historical selling speed set, then acquires current state data of the current self-service vending machine, acquires a first replenishment parameter set corresponding to the first replenishment time point according to the first estimated selling speed set and the current state data, judges that the current self-service vending machine is the self-service vending machine to be replenished when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, and takes the first replenishment time point as the replenishment time point of the current self-service vending machine, because whether replenishment is needed or not is automatically judged by the server, compared with the traditional technology that operators judge according to experience and intuition, manpower and material resources are saved, the operation efficiency is improved.

In one embodiment, as shown in fig. 3, the replenishment method for the vending machine further includes:

and S310, when each first replenishment parameter in the first replenishment parameter set does not exceed the corresponding preset threshold, obtaining a second pre-estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set.

And step S320, obtaining a second replenishment parameter set of the current vending machine from the second replenishment time point according to the second estimated sales speed set and the current state data.

Step S330, when at least one second replenishment parameter in the second replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine needing replenishment, and taking the second replenishment time point as the replenishment time point of the current self-service vending machine.

Specifically, the second replenishment time refers to a second replenishment time set by the operator in advance relative to the current second replenishment time, for example, if some operators replenish the replenishment twice a day, replenish the replenishment at 13 am, and replenish the replenishment at 24 pm, then 24 pm is the second replenishment time.

In this embodiment, when each replenishment parameter in the first replenishment parameter set does not exceed the corresponding preset threshold, it indicates that the current self-service vending machine does not need replenishment at the first replenishment time, at this time, a second estimated sales speed set of the current self-service vending machine from the current time point to the second replenishment time point may be obtained according to the historical sales speed set, and then a second replenishment parameter set of the current vending machine from the current time point to the second replenishment time point may be obtained according to the second estimated sales speed set and the current state data, where a calculation method of each replenishment parameter in the second replenishment parameter set is the same as a calculation method of each parameter in the first replenishment set, and thus, the description is omitted here.

In one embodiment, as shown in FIG. 4, S210 in FIG. 2 includes the following steps

And step S211, calculating a first average selling speed corresponding to each time point in the preset days and a second average selling speed corresponding to each time point in the preset weeks according to the historical selling speed set.

Specifically, the preset number of days refers to consecutive days before the current date, and if the current date is 12 months and 26 days, the preset number of days may be consecutive four days of 12 months and 21 days to 12 months and 25 days. The first average selling speed refers to the average value of the selling speeds of the automatic harvester at the same time in preset days, and if the zero selling speed of day 21 in 12 months is 11, the zero selling speed of day 22 in 12 months is 14, the zero selling speed of day 23 in 12 months is 14, and the zero selling speed of day 24 in 12 months is 9, the first average selling speed is as follows: (11+14+14+ 9)/4 ═ 10.

The second average sales speed is an average of the sales speeds of the same worship date at a certain time point within a preset week number, and if the current worship date is worship one and the preset week number is 2, the second average speed corresponding to the zero point is an average of the sales speed of the previous worship one zero point and the sales speed of the previous worship one zero point.

And S212, obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

Specifically, the estimated sales speed corresponding to each time point can be obtained by multiplying the first average sales speed corresponding to each time point by a certain weight, adding the second sales speed by a certain weight, and setting the weight in advance by an operator according to different sales conditions. For example, the first average sales rate may be multiplied by 0.4 and the second sales rate multiplied by 0.6 to obtain the estimated sales rate.

In this embodiment, after acquiring the historical selling speed set, the server calculates a first average selling speed and a second average selling speed corresponding to each time point from the current time point to the first replenishment time point according to the historical selling speed set, and then obtains an estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

In one embodiment, as shown in fig. 5, the replenishment method of the self-service vending machine includes the steps of:

and step S510, taking the first self-service vending machine in the self-service vending machine set as the current self-service vending machine.

Specifically, the vending machine set refers to a set formed by a plurality of vending machines corresponding to the same server. In this embodiment, the server first takes the first vending machine in the set as the current vending machine, wherein the vending machines may be sorted from small to large according to the number of the vending machines.

Step S520, a historical selling speed set corresponding to the current self-service vending machine is obtained, and a first estimated selling speed set of the current self-service vending machine from the current time point to the first replenishment time point is obtained according to the historical selling speed set.

Step S530, obtaining current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data.

Step S540, when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold, determining that the current self-service vending machine is a self-service vending machine to be replenished and taking the first replenishment time point as the replenishment time point of the current self-service vending machine.

Step S550, judging whether the current self-service vending machine is the last self-service vending machine;

in step S560, if yes, the process proceeds to step S580.

Step S570, if not, the next self-service vending machine is taken as the current self-service vending machine, and the process goes to step S520.

Step S580, obtaining replenishment time of all self-service vending machines to be replenished, generating a replenishment recommendation table, and sending the replenishment recommendation table to a terminal corresponding to an operator.

In one embodiment, the server can also obtain address information of each self-service vending machine, and generate a replenishment recommendation table according to the address information and the replenishment time.

In one embodiment, step S580 in fig. 5 is preceded by: and obtaining a self-service vending machine set to be maintained according to the fault data.

In this embodiment, self-service vending machine breaks down the back, can upload the server with trouble data, and after the server received trouble data, the self-service vending machine that treats the maintenance with the self-service vending machine that trouble data corresponds is regarded as the self-service vending machine that treats the maintenance, obtains treating the self-service vending machine set of maintaining.

Step S580 in fig. 5 includes: and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

Specifically, the server generates a replenishment recommendation list according to the self-service vending machine set to be replenished, the time points to be replenished of each self-service vending machine in the self-service vending machine set to be replenished and the self-service vending machine set to be maintained.

Further, the server sends the replenishment recommendation list to a terminal corresponding to the operator. As shown in fig. 6, in an embodiment, the replenishment recommendation list displayed by the terminal corresponding to the operator, where 1710016, 1710076, 1710488 and the like are numbers of the vending machine, and the morning and the afternoon are the preset first replenishment time and the second replenishment time, in this embodiment, the vending machine is arranged in descending order according to the calculated shortage loss, and the shortage severity is divided according to the relationship between the shortage loss and the preset threshold: the four levels of "severe", "moderate", "mild" and "none" allow the operator to know the degree of stock out of each vending machine unambiguously from the restocking list, such as "severe" when the stock out loss is greater than 25, "moderate" when the stock out loss is greater than 11 and less than or equal to 25, "mild" when the stock out loss is greater than 4 and less than or equal to 11, and "none" when the stock out loss is greater than or equal to 0 and less than or equal to 4.

In one embodiment, as shown in fig. 7, the step of acquiring the current status data of the current vending machine in step S220 in fig. 2 includes:

and step S221, receiving the goods channel shortage amount data sent by the terminal corresponding to the operator.

Specifically, when the operator arrives at the position where the self-service vending machine to be replenished is located when the preset replenishment time is reached, the two-dimensional code on the self-service vending machine is scanned by the terminal, the replenishment interface is displayed by the terminal, the types of commodities sold in all the goods channels of the current self-service vending machine are displayed by the replenishment interface, and when the terminal receives a selection instruction of the operator, the terminal enters an inventory reporting interface corresponding to the selection instruction. As shown in fig. 8, which is an embodiment of an inventory reporting interface diagram, an operator may select a situation of a shortage of a goods lane according to an actual situation of a current goods lane after replenishment. If the current cargo channel capacity is 20 and the stock after replenishment is 18, the stock shortage is 2, and 'lack 2' can be selected for reporting.

Step S222, obtaining the current stock quantity of the current vending machine and the preset goods channel capacity.

And step S223, obtaining the current shortage according to the shortage of the goods on the goods channel, the preset capacity of the goods channel and the current inventory.

In this embodiment, after each replenishment, the server defaults that the stock of the goods way is the capacity of the goods way, and actually some vending machines are not necessarily full after replenishment, so that the current stock shortage needs to be obtained according to the stock shortage of the goods way, the preset capacity of the goods way, and the current stock, where the current stock shortage is the capacity of the goods way-the current stock + the stock shortage.

In one embodiment, as shown in fig. 9, there is also provided a replenishment device 900 for a self-service vending machine, the device comprising:

a first selling speed estimating module 902, configured to obtain a historical selling speed set corresponding to the current self-service vending machine, and obtain a first estimated selling speed set from the current time point to a first replenishment time point of the current self-service vending machine according to the historical selling speed set;

the first replenishment parameter calculation module 904 is configured to obtain current state data of the current self-service vending machine, and obtain a first replenishment parameter set corresponding to a first replenishment time point according to the first pre-estimated sales speed set and the current state data;

a first determining module 906, configured to determine that the current self-service vending machine is a self-service vending machine to be restocked and take the first restocking time point as a restocking time point of the current self-service vending machine when at least one restocking parameter in the first restocking parameter set exceeds a corresponding preset threshold.

The replenishment device of the self-service vending machine comprises a historical selling speed set corresponding to the current self-service vending machine, a first estimated selling speed set from the current time point to a first replenishment time point of the current self-service vending machine is obtained according to the historical selling speed set, then current state data of the current self-service vending machine is obtained, a first replenishment parameter set corresponding to the first replenishment time point is obtained according to the first estimated selling speed set and the current state data, when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, the current self-service vending machine is judged to be a self-service vending machine to be replenished, the first replenishment time point is used as the replenishment time point of the current self-service vending machine, whether replenishment is needed or not is automatically judged through a server, and compared with the prior art, judgment is carried out by operators according to experience and intuition, manpower and material resources are saved, and the operation efficiency is improved.

In one embodiment, the first replenishment parameter set comprises at least one of an estimated shortage, a shortage loss percentage, a shortage commodity percentage, and a time to empty of a commodity.

In one embodiment, as shown in fig. 10, the above apparatus further comprises:

a second selling speed estimating module 908, configured to obtain, according to the historical selling speed set, a second estimated selling speed set when the current self-service vending machine is terminated from the current time point to a second replenishment time point when each first replenishment parameter in the first replenishment parameter set does not exceed the corresponding preset threshold;

the second replenishment parameter calculation module 910 obtains a second replenishment parameter set of the current vending machine ending at a second replenishment time point according to the second estimated sales speed set and the current state data;

and a second determining module 912, configured to determine that the current self-service vending machine is a self-service vending machine requiring replenishment and take the second replenishment time point as the replenishment time point of the current self-service vending machine when at least one second replenishment parameter in the second replenishment parameter set exceeds a corresponding preset threshold value.

In one embodiment, the first sales speed estimation module is configured to calculate a first average sales speed corresponding to each time point in a preset number of days and a second average sales speed corresponding to each time point in a preset number of weeks according to the historical sales speed set, and obtain the estimated sales speed corresponding to each time point according to the first average sales speed and the second average sales speed.

In one embodiment, as shown in fig. 11, the above apparatus further comprises:

the circulation module 914 is used for sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points to be replenished of each self-service vending machine in the self-service vending machine set to be replenished;

the replenishment recommendation list generation module 916 is configured to generate a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished;

a replenishment recommendation list sending module 918, configured to send the replenishment recommendation list to a terminal corresponding to an operator.

In one embodiment, the current state data includes fault data, and the apparatus further includes: the self-service vending machine set acquisition module is used for acquiring a self-service vending machine set to be maintained according to the fault data; the replenishment recommendation list generation module is further used for generating a replenishment recommendation list according to the self-service vending machine set to be replenished, the replenishment time points of each self-service vending machine and the self-service vending machine set to be maintained.

In an embodiment, the first replenishment parameter calculation module is further configured to receive the data of the shortage amount of the commodity channel sent by the terminal corresponding to the operator, obtain the current inventory and the preset commodity channel capacity of the current vending machine, and obtain the current shortage amount according to the shortage amount of the commodity channel, the preset commodity channel capacity and the current inventory.

Fig. 12 is a diagram showing an internal structure of a computer device in one embodiment, and the computer device is connected with a processor, a nonvolatile storage medium, an internal memory, and a network interface through a system connection bus. Wherein the non-volatile storage medium of the computer device may store an operating system and computer readable instructions that, when executed, may cause the processor to perform a method of restocking for a vending machine. The processor of the computer device is used for providing calculation and control capability and supporting the operation of the whole computer device. The internal memory may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform a method of restocking a vending machine. The network interface of the computer device is used for performing network communication, such as receiving voice data packets, sending stop control instructions, and the like. Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, the speed adjustment apparatus provided herein may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 9, and the non-volatile storage medium of the computer device may store various program modules constituting the speed adjustment apparatus, such as the first sales speed estimation module 902, the first replenishment parameter calculation module 904, and the first determination module 906 in fig. 9. Each program module includes computer readable instructions for causing a computer device to execute the steps in the speed adjustment method according to each embodiment of the present application described in this specification, for example, the computer device may obtain, by using a first selling speed estimation module 902 shown in fig. 9, a historical selling speed set corresponding to a current vending machine, and obtain, according to the historical selling speed set, a first estimated selling speed set that the current vending machine expires from a current time point to a first replenishment time point; acquiring current state data of the current self-service vending machine through a first replenishment parameter calculation module 904, and acquiring a first replenishment parameter set corresponding to a first replenishment time point according to a first pre-estimated sales speed set and the current state data; when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, the first judgment module 906 judges that the current self-service vending machine is a self-service vending machine to be replenished and takes the first replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring a historical selling speed set corresponding to the current self-service vending machine, and acquiring a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set; acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to a first replenishment time point according to a first pre-estimated sales speed set and the current state data; and when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine to be replenished, and taking the first replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, the first replenishment parameter set comprises at least one of an estimated shortage, a shortage loss percentage, a shortage commodity percentage, and a time to empty of a commodity.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: when each first replenishment parameter in the first replenishment parameter set does not exceed the corresponding preset threshold value, obtaining a second estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set; obtaining a second replenishment parameter set of the current vending machine from the second replenishment time point according to the second estimated sales speed set and the current state data; and when at least one second replenishment parameter in the second replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine needing replenishment, and taking the second replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, the step of obtaining a historical selling speed set corresponding to the current self-service vending machine, and obtaining a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set comprises the following steps: calculating a first average selling speed corresponding to each time point in preset days and a second average selling speed corresponding to each time point in preset weeks according to the historical selling speed set; and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points of the self-service vending machines to be replenished; generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished; and sending the replenishment recommendation list to a terminal corresponding to an operator.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of generating a replenishment recommendation list according to the set of vending machines to be replenished and the points in time to be replenished of each vending machine, the steps further comprising: obtaining a self-service vending machine set to be maintained according to the fault data; the step of generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished comprises the following steps: and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

In one embodiment, the step of obtaining current status data of the current vending machine comprises: receiving the goods channel shortage data sent by a terminal corresponding to an operator; acquiring the current inventory and preset goods channel capacity of the current vending machine; and obtaining the current shortage according to the shortage of the goods on the goods channel, the preset capacity of the goods channel and the current inventory.

In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of: acquiring a historical selling speed set corresponding to the current self-service vending machine, and acquiring a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set; acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to a first replenishment time point according to a first pre-estimated sales speed set and the current state data; and when at least one replenishment parameter in the first replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine to be replenished, and taking the first replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, the first replenishment parameter set comprises at least one of an estimated shortage, a shortage loss percentage, a shortage commodity percentage, and a time to empty of a commodity.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: when each first replenishment parameter in the first replenishment parameter set does not exceed the corresponding preset threshold value, obtaining a second estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set; obtaining a second replenishment parameter set of the current vending machine from the second replenishment time point according to the second estimated sales speed set and the current state data; and when at least one second replenishment parameter in the second replenishment parameter set exceeds a corresponding preset threshold value, judging that the current self-service vending machine is the self-service vending machine needing replenishment, and taking the second replenishment time point as the replenishment time point of the current self-service vending machine.

In one embodiment, the step of obtaining a historical selling speed set corresponding to the current self-service vending machine, and obtaining a first estimated selling speed set of the current self-service vending machine from a current time point to a first replenishment time point according to the historical selling speed set comprises the following steps: calculating a first average selling speed corresponding to each time point in preset days and a second average selling speed corresponding to each time point in preset weeks according to the historical selling speed set; and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points of the self-service vending machines to be replenished; generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished; and sending the replenishment recommendation list to a terminal corresponding to an operator.

In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of generating a replenishment recommendation list according to the set of vending machines to be replenished and the points in time to be replenished of each vending machine, the steps further comprising: obtaining a self-service vending machine set to be maintained according to the fault data; the step of generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished comprises the following steps: and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

In one embodiment, the step of obtaining current status data of the current vending machine comprises: receiving the goods channel shortage data sent by a terminal corresponding to an operator; acquiring the current inventory and preset goods channel capacity of the current vending machine; and obtaining the current shortage according to the shortage of the goods on the goods channel, the preset capacity of the goods channel and the current inventory.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.

The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of restocking a vending machine, the method comprising:

acquiring a historical selling speed set corresponding to a current self-service vending machine, wherein the historical selling speed set is obtained by accumulating according to the selling speeds of goods channels corresponding to the goods channels of the current self-service vending machine, and a first estimated selling speed set of the current self-service vending machine from a current time point to a first goods supplementing time point is obtained according to the historical selling speed set;

acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data; the current state data comprises the current stock quantity and the current stock quantity; the first replenishment parameter set comprises at least two of estimated shortage quantity, shortage loss ratio, shortage commodity ratio and selling time of a goods channel;

when more than two replenishment parameters in the first replenishment parameter set exceed corresponding preset thresholds, judging that the current self-service vending machine is a self-service vending machine to be replenished, and taking the first replenishment time point as the replenishment time point of the current self-service vending machine;

the step of obtaining the current state data of the current self-service vending machine comprises the following steps:

receiving the goods channel shortage data sent by a terminal corresponding to an operator; the goods channel shortage data is obtained by scanning a replenishment interface displayed by a two-dimensional code on the current self-service vending machine through a terminal corresponding to the operator;

acquiring the current inventory and preset goods channel capacity of the current vending machine;

obtaining the current shortage according to the shortage of the goods on the goods way, the preset goods way capacity and the current inventory;

when each first replenishment parameter in the first replenishment parameter set does not exceed a corresponding preset threshold value, obtaining a second pre-estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set;

obtaining a second replenishment parameter set of the current vending machine from a second replenishment time point according to the second estimated sales speed set and the current state data;

when more than two second replenishment parameters in the second replenishment parameter set exceed corresponding preset thresholds, judging that the current self-service vending machine is a self-service vending machine needing replenishment and taking the second replenishment time point as the replenishment time point of the current self-service vending machine;

sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points of the self-service vending machines to be replenished;

generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished; the replenishment recommendation list is arranged in a descending order according to the shortage loss, and displays the serial number and the position information of each self-service vending machine and the shortage severity of each self-service vending machine determined according to the relation between the shortage loss and a preset threshold value;

and sending the replenishment recommendation list to a terminal corresponding to the operator so that the operator replenishes the current self-service vending machine.

2. The method of claim 1, wherein the step of obtaining a historical selling speed set corresponding to the current self-service vending machine, and obtaining a first estimated selling speed set of the current self-service vending machine from a current time point to the first replenishment time point according to the historical selling speed set comprises:

calculating a first average selling speed corresponding to each time point in a preset number of days and a second average selling speed corresponding to each time point in a preset number of weeks according to the historical selling speed set;

and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

3. The method according to claim 1, wherein the current status data comprises fault data, and the step of generating a replenishment recommendation list according to the set of vending machines to be replenished and the time points to be replenished of each vending machine is preceded by:

obtaining a self-service vending machine set to be maintained according to the fault data;

the step of generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished comprises the following steps:

and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

4. A replenishment device for a vending machine, the device comprising:

the first selling speed pre-estimating module is used for acquiring a historical selling speed set corresponding to the current self-service vending machine, wherein the historical selling speed set is obtained by accumulating the selling speeds of the goods channels corresponding to the goods channels of the current self-service vending machine, and a first pre-estimated selling speed set of the current self-service vending machine from the current time point to a first goods supplementing time point is obtained according to the historical selling speed set;

the first replenishment parameter calculation module is used for acquiring current state data of the current self-service vending machine and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data; the current state data comprises the current stock quantity and the current stock quantity; the first replenishment parameter calculation module is also used for receiving the shortage quantity data of the goods channel sent by the terminal corresponding to the operator; the goods channel shortage data is obtained by scanning a replenishment interface displayed by a two-dimensional code on the current self-service vending machine through a terminal corresponding to the operator; acquiring the current inventory and preset goods channel capacity of the current vending machine; obtaining the current shortage according to the shortage of the goods on the goods way, the preset goods way capacity and the current inventory; the first replenishment parameter set comprises at least two of estimated shortage quantity, shortage loss ratio, shortage commodity ratio and selling time of a goods channel;

the first judging module is used for judging that the current self-service vending machine is a self-service vending machine to be replenished and taking the first replenishment time point as the replenishment time point of the current self-service vending machine when more than two replenishment parameters in the first replenishment parameter set exceed corresponding preset threshold values;

the second selling speed pre-estimating module is used for obtaining a second pre-estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set when each first replenishment parameter in the first replenishment parameter set does not exceed a corresponding preset threshold;

the second replenishment parameter calculation module is used for obtaining a second replenishment parameter set of the current vending machine from a second replenishment time point according to the second pre-estimated sales speed set and the current state data;

the second judging module is used for judging that the current self-service vending machine is a self-service vending machine needing replenishment and taking the second replenishment time point as the replenishment time point of the current self-service vending machine when more than two second replenishment parameters in the second replenishment parameter set exceed corresponding preset threshold values;

the circulation module is used for sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points to be replenished of each self-service vending machine in the self-service vending machine set to be replenished;

the replenishment recommendation list generation module is used for generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished; the replenishment recommendation list is arranged in a descending order according to the shortage loss, and displays the serial number and the position information of each self-service vending machine and the shortage severity of each self-service vending machine determined according to the relation between the shortage loss and a preset threshold value;

and the replenishment recommendation list sending module is used for sending the replenishment recommendation list to a terminal corresponding to the operator so that the operator can replenish the current self-service vending machine.

5. The device of claim 4, wherein the first selling speed estimating module is configured to calculate a first average selling speed corresponding to each time point in a preset number of days and a second average selling speed corresponding to each time point in a preset number of weeks according to the historical selling speed set; and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

6. The apparatus of claim 4, wherein the current state data comprises fault data; the device further comprises:

the self-service vending machine set acquisition module is used for acquiring a self-service vending machine set to be maintained according to the fault data;

and the replenishment recommendation list generation module is further used for generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

7. A computer-readable storage medium having stored thereon a computer program, wherein a replenishment time for each vending machine per day comprises a first replenishment time point and a second replenishment time point, the program when executed by a processor implementing the steps of:

acquiring a historical selling speed set corresponding to a current self-service vending machine, wherein the historical selling speed set is obtained by accumulating according to the selling speeds of goods channels corresponding to the goods channels of the current self-service vending machine, and a first pre-estimated selling speed set of the current self-service vending machine from a current time point to a first goods supplementing time point is obtained according to the historical selling speed set;

acquiring current state data of the current self-service vending machine, and obtaining a first replenishment parameter set corresponding to the first replenishment time point according to the first pre-estimated sales speed set and the current state data; the current state data comprises the current stock quantity and the current stock quantity; the first replenishment parameter set comprises at least two of estimated shortage quantity, shortage loss ratio, shortage commodity ratio and selling time of a goods channel;

when more than two replenishment parameters in the first replenishment parameter set exceed corresponding preset thresholds, judging that the current self-service vending machine is a self-service vending machine to be replenished, and taking the first replenishment time point as the replenishment time point of the current self-service vending machine;

the step of obtaining the current state data of the current self-service vending machine comprises the following steps:

receiving the goods channel shortage data sent by a terminal corresponding to an operator; the goods channel shortage data is obtained by scanning a replenishment interface displayed by a two-dimensional code on the current self-service vending machine through a terminal corresponding to the operator;

acquiring the current inventory and preset goods channel capacity of the current vending machine;

obtaining the current shortage according to the shortage of the goods on the goods way, the preset goods way capacity and the current inventory;

when each first replenishment parameter in the first replenishment parameter set does not exceed a corresponding preset threshold value, obtaining a second pre-estimated selling speed set of the current self-service vending machine from the current time point to a second replenishment time point according to the historical selling speed set;

obtaining a second replenishment parameter set of the current vending machine from a second replenishment time point according to the second estimated sales speed set and the current state data;

when more than two second replenishment parameters in the second replenishment parameter set exceed corresponding preset thresholds, judging that the current self-service vending machine is a self-service vending machine needing replenishment and taking the second replenishment time point as the replenishment time point of the current self-service vending machine;

sequentially taking other self-service vending machines in the self-service vending machine set as the current self-service vending machines and entering the step of acquiring the historical selling speed set corresponding to the current self-service vending machines to obtain the self-service vending machine set to be replenished and the time points of the self-service vending machines to be replenished;

generating a replenishment recommendation list according to the set of self-service vending machines to be replenished and the time points of the self-service vending machines to be replenished; the replenishment recommendation list is arranged in a descending order according to the shortage loss, and displays the serial number and the position information of each self-service vending machine and the shortage severity of each self-service vending machine determined according to the relation between the shortage loss and a preset threshold value;

and sending the replenishment recommendation list to a terminal corresponding to the operator so that the operator replenishes the current self-service vending machine.

8. The computer-readable storage medium according to claim 7, wherein the program when executed by the processor further performs the steps of:

calculating a first average selling speed corresponding to each time point in a preset number of days and a second average selling speed corresponding to each time point in a preset number of weeks according to the historical selling speed set;

and obtaining the estimated selling speed corresponding to each time point according to the first average selling speed and the second average selling speed.

9. The computer-readable storage medium according to claim 7, wherein the current state data includes fault data, and wherein the program when executed by the processor further performs the steps of:

obtaining a self-service vending machine set to be maintained according to the fault data;

and generating a replenishment recommendation list according to the set of self-service vending machines to be replenished, the time points of the self-service vending machines to be replenished and the set of self-service vending machines to be maintained.

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements a method of restocking a vending machine as claimed in any one of claims 1 to 3.

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