CN117788005A - Processing method, processing device, storage medium and computing equipment for returned goods - Google Patents

Abstract

Embodiments of the present application provide a processing method, a processing apparatus, a storage medium, and a computing device for return goods. The processing method comprises the following steps: after receiving a return application of a front-end user for return goods, issuing a questionnaire; the questionnaire comprises a plurality of evaluation questions; determining a score for the evaluation topic based on the input data for the evaluation topic; calculating the score of the questionnaire according to the score of the evaluation topic; determining the type of the quality of the returned goods according to the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire; and warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods. By adopting the standardized questionnaire, the method can correspond to a preset quality for each returned commodity, so that unified opinion can be obtained through one-time evaluation, and the situation of slow after-sale flow caused by disputes is reduced.

Description

Processing method, processing device, storage medium and computing equipment for returned goods

Technical Field

Embodiments of the present application relate to the field of quality management technology, and more particularly, to a processing method, a processing apparatus, a storage medium, and a computing device for return goods.

Background

In today's online shopping environment, returns are very common. In processing these return requests, accurate determination of the extent of damage to the merchandise is a critical step in after-market service. However, in the current business processes, such as customer service systems and logistics claim systems, business personnel often have difficulty in unifying comments when judging the damage degree of returned goods, which results in a great deal of communication cost and time consumption, and the after-sale slowness has a negative effect on the shopping experience of consumers.

Disclosure of Invention

In this context, embodiments of the present application desire to provide a processing method, a processing apparatus, a storage medium, and a computing device for return goods.

In a first aspect of embodiments of the present application, there is provided a method for processing returned goods, the method comprising: after receiving a return application of a front-end user for return goods, issuing a questionnaire; the questionnaire comprises a plurality of evaluation questions; determining a score for the evaluation topic based on the input data for the evaluation topic; calculating the score of the questionnaire according to the score of the evaluation topic; determining the type of the quality of the returned goods according to the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire; and warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods.

In one embodiment of the present application, the processing method may further include: generating a return identifier of the return commodity so that a physical label with the return identifier is attached to the return commodity, wherein the return identifier is used for describing the unique ID and the quality type of the return commodity; and sending the return identification to the customer service system, so that when the return commodity is processed, the customer service system searches the return commodity according to the unique ID and starts a claim settlement process corresponding to the type of the commodity.

In another embodiment of the present application, the scoring topic of the questionnaire may include at least one of the following dimensions: the appearance of the returned goods and at least one function of the returned goods.

In yet another embodiment of the present application, the processing method may further include: judging whether the returned goods are in the valid period of the goods or not; when the returned goods are not in the goods validity period, the type of the product phase of the returned goods is output to be damaged, wherein the step of issuing the questionnaire is executed when the returned goods are in the goods validity period.

In yet another embodiment of the present application, the processing method may further include: if the quality type of the returned goods is good, the quantity of the returned goods is added into the stock quantity of the goods in the sales system.

In another embodiment of the present application, the processing method may further include: if the quality type of the returned goods is defective, sending a returned goods identifier to a provider system; after receiving the processing instruction of the provider system, responding to the processing instruction to enable the background user to process the real object of the returned commodity.

In yet another embodiment of the present application, the processing method may further include: and receiving an externally input configuration file, and updating the type and the evaluation title of the questionnaire according to the configuration file.

In another embodiment, the processing method may further include:

determining the appearance damage condition of the returned goods at the appointed position through image recognition;

and obtaining the score of at least one evaluation question of the returned goods in the appearance dimension according to the appearance damage condition.

In yet another embodiment, the designated location may be manually set.

In yet another embodiment, the designated location may be obtained by collecting historical big data for the category of the return merchandise for a number of foreground users.

In a second aspect of embodiments of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for processing return goods provided in the first aspect of the present application.

In a third aspect of embodiments of the present application, there is provided a processing apparatus for returning goods, the processing apparatus may include: the release module is used for releasing the questionnaire after receiving the return application of the front-end user for the returned goods; the questionnaire comprises a plurality of evaluation questions; the statistics module is used for determining the score of the evaluation topic according to the input data aiming at the evaluation topic; calculating the score of the questionnaire according to the score of the evaluation topic; the quality determining module is used for determining the quality type of the returned goods according to the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire; and the classification module is used for warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods.

In a fourth aspect of embodiments of the present application, there is provided a computing device comprising a memory, a processor and a program stored on the memory and executable on the processor, the processor implementing the steps of the method for processing return goods provided in the first aspect of the present application when the program is executed by the processor.

Through above-mentioned scheme, this application has following beneficial effect at least:

using a standardized questionnaire as the only criterion for the assessment, no matter who the assessor is, a unique and determined overall score is derived when the questionnaire is used to score the assessment title, and this score corresponds to a particular score range. Because the score intervals are in one-to-one correspondence with the preset quality classification, an accurate quality classification result can be obtained, and the condition that after-sale flow is slow due to disputes when the quality of the returned goods is evaluated is reduced.

Drawings

The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, in which:

FIG. 1 schematically illustrates a flow chart of a method of processing return merchandise according to an embodiment of the present application;

FIG. 2 schematically illustrates a mapping relationship between commodity components and commodity phases according to another embodiment of the present application;

FIG. 3 schematically illustrates a flow chart of a processing method including validity period determination according to yet another embodiment of the present application;

FIG. 4 schematically illustrates a flow chart of a combined processing method according to yet another embodiment of the present application;

FIG. 5 schematically illustrates a schematic diagram of a computer-readable storage medium according to an embodiment of the present application;

FIG. 6 schematically illustrates a schematic view of a processing device for return goods according to an embodiment of the present application;

fig. 7 schematically illustrates a schematic diagram of a computing device according to an embodiment of the application.

In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

Detailed Description

The principles and spirit of the present application will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable one skilled in the art to better understand and practice the present application and are not intended to limit the scope of the present application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

Those skilled in the art will appreciate that embodiments of the present application may be implemented as a system, apparatus, device, method, or computer program product. Thus, the present application may be embodied in the form of: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to embodiments of the present application, a method, a device, a storage medium, and a computing apparatus for processing returned goods are provided.

In this document, it should be understood that any number of elements in the drawings is for illustration and not limitation, and that any naming is used only for distinction and not for any limitation.

The principles and spirit of the present application are explained in detail below with reference to several representative embodiments thereof.

Summary of The Invention

The inventor of the application found that during commodity transaction, especially online shopping, the return is one of frequent transaction activities, wherein a part of the goods can be returned for seven days without reasons, and the return request can be initiated for damaged products. Product damage can be caused by a variety of reasons, such as damage during shipping, product quality problems, etc., and the identification of the extent of damage to a product is an important component of the after-market process. In the evaluation process, when different service systems such as a customer service system and a carrier claim settlement system are used by service personnel to judge the damage degree of returned goods, the judgment standards are difficult to unify, a large amount of time is wasted for communication, and the time waste and the pulling caused by the difficulty in qualitative damage degree influence the experience of buyers.

It should be noted that the above application scenario is only shown for the convenience of understanding the spirit and principles of the present application, and embodiments of the present application are not limited in any way in this respect. Rather, embodiments of the present application may be applied to any scenario where applicable.

Exemplary method

With reference thereto, and with reference to fig. 1, the present application provides an exemplary method for processing returned goods, the method may include:

s101, after receiving a return application of a front-end user for return goods, issuing a questionnaire; the questionnaire comprises a plurality of evaluation questions;

s102, determining the score of the evaluation topic according to the input data aiming at the evaluation topic;

s103, calculating the score of the questionnaire according to the score of the evaluation topic;

s104, determining the quality type of the returned goods through the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire;

s105, warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods.

According to the scheme, the defined questionnaire is adopted as the unique judgment standard of the quality, no matter who judges the quality, when the questionnaire is adopted to score the evaluation questions, only one final score can be obtained, and one score area corresponds to the final score, and the accurate quality type can be obtained because the score area corresponds to the preset quality type one by one.

In an embodiment, the preset quality type may include good and bad; it will be appreciated that in another embodiment, the preset phase type may also include other types, or that good and bad products may be further subdivided into other types. Good, defective, or other types are exemplary names only, and are not intended to limit the present application, as good may also be referred to as good, non-destructive, etc., and all fall within the scope of the present application.

In one embodiment, the questionnaire is divided into 100 minutes, two predetermined types of product, one of which is good, the other is a defective product, and the other is a returned commodity which finally falls into the score interval of 61-100.

In yet another embodiment, the questionnaire is divided into 100 points, and three types, wherein: one good product corresponds to a returned commodity with a score of 0-40; the other is good goods returned to be repaired, and the corresponding score is 41-60; and the other is a defective product, and corresponds to a returned commodity with a score of 61-100.

In the two exemplary embodiments, the configuration processing method is that the higher the score is, the worse the quality is; in some embodiments, the processing method may also be configured to score better for more looks.

In the return process, in addition to fast determination of uniform quality, fast follow-up for the subsequent process is also an important factor in improving customer satisfaction. Thus, in an exemplary embodiment of the present application, the processing method may further include:

generating a return identifier of the return commodity so that a physical label with the return identifier is attached to the return commodity, wherein the return identifier is used for describing the unique ID and the quality type of the return commodity;

and sending the return identification to the customer service system, so that when the return commodity is processed, the customer service system searches the return commodity according to the unique ID and starts a claim settlement process corresponding to the type of the commodity.

By the scheme of the embodiment, the unique ID and the goods-phase type goods returning identification are generated for the goods returned, and the goods returned and information of the goods returned can be separated, so that the claim settlement process is carried out according to the information before the goods returned warehouse processes the goods. The effect of fast following the claim settlement flow after the quality type is determined is achieved, the completion of warehousing of the real objects is not required to be waited, and the shopping experience of the buyer is improved.

It will be appreciated that the claim settlement process may include different steps depending on customer service systems, such as an exemplary embodiment, the claim settlement process may include two sub-processes, customer service audit refunds and logistics service business claims. The specific claim settlement flows are applicable to the schemes of the application according to the actual conditions, and therefore all fall into the protection scope of the application.

The unique ID may be in a predetermined format, for example, in an embodiment, Y codes may be used as the unique ID, that is, y+10 digits are used, and each Y code is not repeated, and one Y code corresponds to the commodity and the quality information of the unique returned object.

In other embodiments, other preset formats may be adopted, such as increasing or decreasing digits of arabic numerals, changing letters, and the like, and increasing or decreasing special symbols, which is not particularly limited in this application.

In order for the accuracy of the assessment using a questionnaire, in one embodiment of the present application, the scoring topic of the questionnaire comprises at least one of the following dimensions: the appearance of the returned goods and at least one function of the returned goods.

In evaluating the returned commodity in the form of a questionnaire, the degree of damage of the commodity may be determined based on a plurality of dimensions, and which dimension or dimensions to use may be determined according to the type of commodity actually operated.

Illustratively, in the appearance dimension, whether the characteristics of color, shape, size and the like are changed or not; taking clothing as an example, the questionnaire of the appearance dimension may be the degree of fading of the clothing, the degree of breakage of the package. In the functional dimension, whether a mechanical function, an electronic function, a material function and the like are absent; taking a keyboard as an example, the questionnaire of the functional dimension may be whether a key has failed.

The above examples are not intended to limit the scope of the present application, and can provide more comprehensive protection to merchandise based on functional and appearance dimensions, and other added content should fall within the scope of the present application under the teachings of the present application.

In the application, each dimension can contain a plurality of questions, and commodity scores can be automatically calculated according to the answering condition of each question.

Illustratively, the commodity score may be calculated by the following formula:

commodity score = max (X1, X2, X3, …, xm) +max (Y1, Y2, Y3, …, xn); (equation 1)

In the above formula, the commodity score is used to characterize the commodity defect score, and the higher the score, the greater the damage degree. Wherein Xm represents the score of the mth item, a higher score represents a greater degree of breakage, and max (X1, X2, X3, …, xm) represents the maximum value of the score of each item in the X dimension; yn represents the score of the nth item, a higher score represents a greater degree of breakage, and naY (Y1, Y2, Y3, …, yn) represents the maximum value of the score of each item in the Y dimension.

Accordingly, in this application, the commodity score may also characterize a commodity fitness score:

commodity score = min (X1, X2, X3, …, xm) +min (Y1, Y2, Y3, …, xn); (equation 2)

In formula 2, xm represents the score of the mth item, a higher score represents a smaller degree of breakage, and max (X1, X2, X3, …, xm) represents the minimum value of the score of each item in the X dimension; yn represents the score of the nth item, a higher score represents a smaller breakage degree, and naY (Y1, Y2, Y3, …, yn) represents the minimum value of the score of each item in the Y dimension.

The above exemplary formulas 1 and 2 take two dimensions of X and Y as examples, and fewer or more dimensions are possible in practical implementations.

On the basis, different commodity scores can be corresponding to preset standard rating grades, so that different crushing degrees of returned commodities can be uniformly converted into the standard rating grades.

Referring to fig. 2, in an embodiment, taking the commodity score as a commodity defect score and the standard rating level as a level 26 as an example, the commodity score calculated by the formula 1 is corresponding to the levels a to Z, and the quality of the returned commodity is obtained according to the mapping relationship between the level of the class in which the returned commodity is located and the quality. For example, according to formula 1, the commodity score of the returned commodity of a dream flower-blooming washing cotton is calculated to be 0, the corresponding grade is A, and according to the mapping relation that the grade A-C of the family commodity of the bed commodity corresponds to the good grade, the final output grade is the good grade.

Referring to fig. 3, in an embodiment of the present application, before the questionnaire is released, the processing method may further include:

s301, judging whether the returned goods are in the valid period of the goods or not;

and S302, outputting the type of the quality of the returned goods to be damaged when the returned goods are not in the goods validity period, wherein the step of issuing the questionnaire is executed when the returned goods are in the goods validity period.

According to the scheme, before the questionnaire aiming at the returned goods is released, whether the returned goods are in the valid period of the goods is judged, if the returned goods are not in the valid period, the questionnaire score conditions of other dimensions of the goods are not of reference significance, and the questionnaire evaluation is not needed through the scheme, so that the scheme flow is saved. When the returned goods are not in the effective period of the goods, the type of the output returned goods is damaged, and the returned goods can be determined to not have the use value as the goods, so that the after-sale service speed is increased, and the after-sale satisfaction degree of buyers is improved.

For example, the expiration date may refer to the period that any returned good meets the current sales requirements. If the shelf life of a food is 12 months, but in the commodity, the commodity with the expiration time less than 1 month is not sold, 11 months can be used as the effective period of the treatment method of the returned commodity.

It can be understood that the validity periods can have different names in different kinds of commodities, and can also have different names in different selling requirements of the same kind, and different validity periods can be preset for different kinds of commodities when the scheme of the application is applied. By way of example, names that can be used as validity periods are as follows: the differences in names such as shelf life, flavor duration, drug expiration date, etc. are not intended to limit the scope of the present application.

In an embodiment of the present application, the processing method may further include:

if the quality type of the returned goods is good, the quantity of the returned goods is added into the stock quantity of the goods in the sales system.

Through the scheme, good products meeting the selling conditions can be automatically added into the inventory in the sales system, so that the labor intensity is reduced.

For goods and hot goods in the sales promotion period, the stock can be quickly changed to push the next sales action, and the management cost of goods returned is reduced.

In the after-sales process, some defective products may be caused by quality problems of products of suppliers, so that the defective products generally need to be returned to the suppliers, and the treatment mode of the defective products is determined by the suppliers. And when the goods are returned to the suppliers, such as logistics and the like, and disputes are generated on the inferior goods in the later period, other fees, such as the logistics fee for transfer, can be generated again.

In another embodiment of the present application, the processing method may further include:

if the quality type of the returned goods is defective, sending a returned goods identifier to a provider system;

after receiving the processing instruction of the provider system, responding to the processing instruction to enable the background user to process the real object of the returned commodity.

It will be appreciated that the present application does not limit the type of interface of the provider system, and the solution of the foregoing embodiment may be applied when the provider system has the capability of receiving and transmitting data.

By interfacing with the supplier, combining the return identifier of the return commodity generated in the foregoing embodiment, separating the real object of the return commodity from the return identifier, and sending the return identifier to the supplier system in advance, no cost will be generated, and only after the supplier determines the processing instruction such as going to the defective product, the real object is processed, so that unnecessary cost generated in the early stage can be avoided, cost is saved, and communication between both parties is facilitated.

The questionnaire for return goods is not a layer of invariance, in this application, the processing method may further include:

and receiving an externally input configuration file, and updating the type and the evaluation title of the questionnaire according to the configuration file.

By the scheme, when the questionnaire needs to be maintained, the configuration file can be input to update the type of the questionnaire and the evaluation questions.

For example, an update refers to any one of altering, adding, deleting for all questionnaires, for a single questionnaire or for a single evaluation topic.

The types of questionnaires can be divided according to commodity types, and also can be divided according to dimensions, and the configuration file can contain a questionnaire range which needs to be updated.

In this application, the processing method may further include: inquiring the product class of the sold product, and deleting the questionnaire corresponding to the product which is not in the product class of the sold product. For example, the step of querying the category of the commodity being sold may be performed at a specified time or at a specified frequency.

In another embodiment, the processing method may further include:

determining the appearance damage condition of the returned goods at the appointed position through image recognition;

and obtaining the score of at least one evaluation question of the returned goods in the appearance dimension according to the appearance damage condition.

According to the scheme, image recognition is introduced for the appearance dimension, equipment is adopted to replace manual operation to answer the evaluation questions in the appearance dimension, and as only damage conditions of returned goods in the instruction position are recognized, more calculation resources are not required to be occupied.

In one embodiment, the designated location may be manually set.

In yet another embodiment, the designated location may be obtained by collecting historical big data for the category of the return merchandise for a number of foreground users.

Through the collection and processing of the historical big data, the position where damage occurs to a certain returned commodity can be known, so that the accuracy and the necessity of image identification are improved, the attention to the position which is not easy to damage is reduced, and the computing resource of image identification is effectively utilized.

Meanwhile, the location of the returned goods reflected in the historical big data reflects the quality problem of the returned goods at the location, so in one embodiment: and transmitting information of the designated position of the returned goods determined by the historical big data to a provider system. The problem existing in the current commodity is corrected as soon as possible by feeding back to the supplier, and the return commodity with similar reasons is avoided.

In another embodiment, the quality of the commodity can further comprise to be refurbished, and the processing method can further comprise: and carrying out renovation operation on the commodity to be renovated so as to convert the quality of the commodity into good products.

Through the renovation operation, the commodity which can be repaired can be changed into a good product which meets the selling condition again, so that the economic loss of a buyer or a seller is reduced.

It will be appreciated that the above embodiments may be used in any combination. For example, referring to fig. 4, a combined processing method may include:

s401, receiving a user return application to generate a warehouse to-be-received task; s402, unpacking, matching and checking commodity information in a warehouse; in order to avoid unnecessary questionnaire filling at this time, S403 is executed to determine whether validity period management is required;

if the output result is no, filling of the questionnaire is needed, and before answering the evaluation questions, S404 is needed to be executed, and questionnaire information is acquired according to the commodity class and questionnaire mapping; s405, judging residues by questionnaires; s406, calculating commodity scores; s407, outputting commodity phases; s408, judging whether the quality is to be renovated;

if the output result is yes, further judging whether the evaluation questions need to be answered or not, and executing S409 and validity period checking; s410, whether the validity period requirements are met or not; steps S404 to S408 are performed while in the validity period; if not, executing S411, and outputting that the quality is damaged; the damaged returned goods have no recycling value, so that the step of S408 of judging whether the quality is to be refreshed is not needed;

if step S408, it is determined whether the quality is to be refreshed; if the quality of the commodity is judged to be renovated, S413, fitting inspection is executed, and the renovation is changed into good; s414, outputting the qualified product;

for any commodity with any commodity phase, taking the return label as a Y code as an example, S412 is required to be executed, the Y code is generated, and the commodity information is recorded and stored;

separation of the return identity and the physical object of the return commodity is achieved through S412, and before the physical object is processed, the following steps may be performed: s421, returning the information of the package delivery and commodity standard product information to the upstream; s422, customer service auditing refund; s423, the logistics service merchant settles the claim;

s415, initiating warehouse entry for the return identification and the real object of the return commodity; s416, judging whether the quality is good; s417, when the product is judged to be good, the product is put in storage to a good product bin; s418, putting on a shelf for selling, and selling for the second time; executing S419 to store in a stock return bin when other quality is judged; s420, processing the stock of the bad goods in the return warehouse;

for non-good products of different degrees, the following steps can be respectively executed: s424, the number of warehouse scrapped pins; s425, purchasing in flaw products and special selling under line; s426, the supplier manufacturer is provided.

Exemplary Medium

Having described the method of the exemplary embodiments of the present application, next, referring to fig. 5, a computer-readable storage medium of the exemplary embodiments of the present application is provided with a computer program stored thereon, which when executed by a processor implements the steps of the method for processing return goods in any of the examples.

Exemplary apparatus

Having described the media of the exemplary embodiments of the present application, and referring next to fig. 6, the present application provides an exemplary embodiment of a processing device 60 for return goods, the processing device 60 may include:

the issuing module 601 is configured to issue a questionnaire after receiving a return request for a return commodity from a foreground user; the questionnaire comprises a plurality of evaluation questions;

a statistics module 602 for determining a score for an evaluation topic based on input data for the evaluation topic; calculating the score of the questionnaire according to the score of the evaluation topic;

a quality determining module 603, configured to determine a quality type of the returned goods according to the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire;

the sorting module 604 is configured to store the returned goods in a warehouse corresponding to the type of the quality type based on the type of the quality type of the returned goods.

In one embodiment, the processing apparatus may further include:

the marking module is used for generating a return identifier of the return commodity so as to enable the physical label with the return identifier to be attached to the return commodity, wherein the return identifier is used for describing the unique ID and the quality type of the return commodity;

and the customer service docking module is used for sending the return goods identification to the customer service system, so that when the return goods are processed, the customer service system searches the return goods according to the unique ID and starts a claim settlement process corresponding to the type of the goods.

In another embodiment, the scoring topic of the questionnaire may include at least one of the following dimensions: the appearance of the returned goods and at least one function of the returned goods.

In yet another embodiment, the processing apparatus may further include:

the expiration date judging module is used for judging whether the returned goods are in the expiration date of the goods; when the returned goods are not in the goods validity period, the type of the product phase of the returned goods is output to be damaged, wherein the step of issuing the questionnaire is executed when the returned goods are in the goods validity period.

In yet another embodiment, the processing apparatus may further include:

and the inventory butt joint module is used for adding the quantity of the returned goods into the inventory quantity of the goods in the sales system if the quality type of the returned goods is good.

In an embodiment of the present application, the processing apparatus may further include:

the supplier docking module is used for sending the return identification to the supplier system if the quality type of the return commodity is inferior; after receiving the processing instruction of the provider system, responding to the processing instruction to enable the background user to process the real object of the returned commodity.

In yet another embodiment, the processing apparatus may further include:

the configuration module is used for receiving configuration files input from outside and updating the types of questionnaires and evaluation questions according to the configuration files.

In another embodiment, the processing apparatus may further include:

the visual evaluation module is used for determining the appearance damage condition of the returned goods at the designated position through image recognition; and obtaining the score of at least one evaluation question of the returned goods in the appearance dimension according to the appearance damage condition.

Based on this, in one embodiment, the designated location is obtained by collecting historical big data of a number of foreground users for the category of the returned goods.

Exemplary computing device

Having described the methods, media, and apparatus of the exemplary embodiments of the present application, and referring next to fig. 7, the present application proposes a computing device 70 of the exemplary embodiments, including a memory 702, a processor 701, and a program stored on the memory 702 and executable on the processor 701, the processor 701 implementing the steps of the processing method in any of the embodiments when the program is executed by the processor 701.

It should be noted that although in the above detailed description several units/modules or sub-units/modules of a processing device are mentioned, such a division is only exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module according to embodiments of the present application. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.

Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.

While the spirit and principles of this application have been described with reference to several particular embodiments, it is to be understood that this application is not limited to the disclosed particular embodiments nor does it imply that features in the various aspects are not useful in combination, nor are they intended to be in any way useful for the convenience of the description. The application is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims (10)

1. A method of processing a return commodity, the method comprising:

after receiving a return application of a foreground user for the return commodity, issuing a questionnaire; the questionnaire comprises a plurality of evaluation questions;

determining a score for the evaluation topic from input data for the evaluation topic;

calculating a score of the questionnaire according to the score of the evaluation questions;

determining the quality type of the returned goods through the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire;

and warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods.

2. The processing method according to claim 1, characterized in that the processing method further comprises:

generating a return identifier of the return commodity so that a physical label with the return identifier is attached to the return commodity, wherein the return identifier is used for describing a unique ID of the return commodity and the quality type;

and sending the return identification to a customer service system, so that when the return commodity is processed, the customer service system searches the return commodity according to the unique ID and starts a claim settlement process corresponding to the commodity type.

3. The processing method of claim 1, wherein the scoring topic of the questionnaire comprises at least one of the following dimensions: the appearance of the returned goods and at least one function of the returned goods.

4. The processing method of claim 1, wherein prior to publishing the questionnaire, the processing method further comprises:

judging whether the returned goods are in the valid period of the goods or not;

and outputting the type of the quality of the returned goods as damage when the returned goods are not in the goods validity period, wherein the step of issuing the questionnaire is executed when the returned goods are in the goods validity period.

5. The processing method according to claim 1, characterized in that the processing method further comprises:

and if the quality type of the returned goods is good, adding the quantity of the returned goods into the stock quantity of the goods in the sales system.

6. The processing method according to claim 2, characterized in that the processing method further comprises:

if the quality type of the returned commodity is defective, the returned commodity identification is sent to a supplier system;

and after receiving the processing instruction of the provider system, responding to the processing instruction to enable a background user to process the real object of the return commodity.

7. The processing method according to claim 1, characterized in that the processing method further comprises:

and receiving an externally input configuration file, and updating the type of the questionnaire and the evaluation questions according to the configuration file.

8. A processing apparatus for returning goods, the processing apparatus comprising:

the release module is used for releasing the questionnaire after receiving the return application of the front-end user for the return commodity; the questionnaire comprises a plurality of evaluation questions;

a statistics module for determining a score for the evaluation topic based on input data for the evaluation topic; calculating a score of the questionnaire according to the score of the evaluation questions;

the quality determining module is used for determining the quality type of the returned goods according to the score of the questionnaire; the quality type is one of a plurality of preset quality types, and the preset quality type corresponds to one scoring area of the questionnaire;

and the classification module is used for warehousing the returned goods into a warehouse corresponding to the quality type based on the quality type of the returned goods.

9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the processing method according to any one of claims 1-7.

10. A computing device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the processing method of any of claims 1-7 when the program is executed by the processor.