CN112330244A - Goods picking method, electronic scale and storage medium - Google Patents
Goods picking method, electronic scale and storage medium Download PDFInfo
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Abstract
The present disclosure relates to a picking method, an electronic scale and a storage medium. The goods picking method comprises the following steps: acquiring target attribute information of a commodity to be sorted, wherein the target attribute information comprises name information of the commodity to be sorted; determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information; and distributing the goods to be sorted to the target orders to be sorted. By adopting the method, the picking efficiency can be improved.
Description
Technical Field
The disclosure relates to the technical field of computers, in particular to a goods picking method, an electronic scale and a storage medium.
Background
With the increasing popularity of e-commerce platforms, more and more people tend to shop online. Specifically, people select and purchase goods through the e-commerce platform and place orders for the goods determined to be purchased. After a merchant of the e-commerce platform receives the order of the user, a goods picker on the merchant side picks the goods according to the printed order information of any order to be sorted. And after the commodities corresponding to the order are picked, delivering the commodities of the order to the corresponding user.
In the case of a large number of orders, the order picker in the related art picks orders one by one according to the order information of each order, resulting in low picking efficiency.
Disclosure of Invention
The purpose of the present disclosure is to provide a picking method, an electronic scale and a storage medium to improve the picking efficiency.
To achieve the above object, a first aspect of the embodiments of the present disclosure provides a method of picking a product, the method including:
acquiring target attribute information of a commodity to be sorted, wherein the target attribute information comprises name information of the commodity to be sorted;
determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information;
and distributing the goods to be sorted to the target orders to be sorted.
Optionally, the determining a target order to be sorted from a set of orders to be sorted according to the target attribute information includes:
determining candidate orders to be sorted including the target ordered commodity from the collection of orders to be sorted;
and in the case that the candidate orders to be sorted are multiple, determining the orders to be sorted with the order predicted arrival time closest to the current time from the multiple candidate orders to be sorted as the target orders to be sorted.
Optionally, the determining a candidate order to be sorted including the target ordered good from the set of orders to be sorted includes:
determining the candidate orders to be sorted including the target ordered commodity from the collection of orders to be sorted under the condition that the manual operation of the user for selecting the orders to be sorted is not detected; or, when detecting that the order to be sorted is manually selected by the user and the order to be sorted selected by the user does not include the target ordered commodity, determining the candidate order to be sorted including the target ordered commodity from the order set to be sorted;
the method further comprises the following steps:
and when the condition that the order to be sorted is selected manually by the user and the target ordered commodity is included in the order to be sorted selected manually by the user is detected, taking the order to be sorted selected manually by the user as the target order to be sorted.
Optionally, the target attribute information further includes an actual weight of the commodity to be sorted, the name information of the target ordered commodity is consistent with the name information in the target attribute information, and a difference between a required weight of the target ordered commodity and the actual weight in the target attribute information is within a preset range.
Optionally, the obtaining of the target attribute information of the goods to be sorted includes:
scanning the commodity code of the commodity to be sorted through a scanning module to obtain the target attribute information of the commodity to be sorted; alternatively, the first and second electrodes may be,
and receiving name information of the goods to be sorted, which is input by a user, and acquiring the actual weight of the goods to be sorted, which is obtained after the goods to be sorted are weighed by a weighing module.
Optionally, the method further comprises:
and under the condition that the actual weight in the target attribute information is smaller than the required weight of the target ordered commodity, performing price-refunding processing on the user of the target order to be sorted according to the difference value between the required weight of the target ordered commodity and the actual weight in the target attribute information.
Optionally, before the allocating the to-be-sorted goods to the target to-be-sorted order, the method includes:
determining that the target order to be sorted does not generate return information for the target ordered item.
Optionally, the method further comprises:
in response to the rechecking operation of the user for the target to-be-sorted order, taking the target to-be-sorted order as a to-be-rechecked order; and the number of the first and second electrodes,
according to the commodities sorted by the order to be rechecked, checking whether ordered commodities matched with the target attribute information of the commodities exist in the order to be rechecked;
and under the condition that the ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked, marking the ordered commodity in the order to be rechecked as rechecked.
Optionally, the method further comprises:
inquiring whether the missing ordered commodity is in a stock shortage state or not aiming at the ordered commodity with the missing order to be rechecked;
and under the condition that all the missing ordered commodities of the order to be rechecked are in the out-of-stock state, marking the order to be rechecked as rechecked, and carrying out refund processing on the user of the order to be rechecked according to the missing ordered commodities.
Optionally, before the checking whether there is an ordered commodity matching the target attribute information of the commodity in the order to be checked again, the method includes:
under the condition that the commodity has the commodity code, scanning the commodity code of the commodity through a scanning module to obtain target attribute information of the commodity;
and under the condition that the commodity code does not exist, weighing the commodity through a weighing module to obtain the actual weight of the commodity, wherein the target attribute information of the commodity comprises the actual weight of the commodity.
A second aspect of the disclosed embodiments provides an electronic scale, including: the weighing system comprises a scanning module, a weighing module and a processor connected with the scanning module and the weighing module;
the scanning module is used for scanning the commodity code of the commodity;
the weighing module is used for weighing commodities;
the processor is used for acquiring target attribute information of the to-be-sorted goods through the scanning module and/or the weighing module, wherein the target attribute information comprises name information of the to-be-sorted goods;
determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information;
and distributing the goods to be sorted to the target orders to be sorted.
A third part of the embodiments of the present disclosure provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, performs the steps of any of the methods described in the first part above.
By adopting the technical scheme, the following technical effects can be at least achieved:
and determining a target order to be sorted from the order set to be sorted according to the target attribute information of the commodity to be sorted by acquiring the target attribute information of the commodity to be sorted. And distributing the goods to be sorted to the target order to be sorted. In this way, since the order picker does not need to know the specific order information of each order to be sorted in the order collection to be sorted, the redundant operation of selecting the order to be sorted by the order picker can be avoided, and the problem of wrong/missing picking possibly existing when the order picker picks the order to be sorted according to the specific order information of the order to be sorted can also be avoided. In addition, compared with the mode in the related art that the order picker picks the order one by one according to the order information of each order in the printed order set to be sorted, the mode of simultaneously sorting all the orders in the order set to be sorted according to the goods to be sorted has higher picking efficiency.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flow chart illustrating a method of picking a product according to an exemplary embodiment of the present disclosure.
Figure 2 is a flow chart illustrating another method of picking a good according to an exemplary embodiment of the present disclosure.
Fig. 3 is a flow chart illustrating a review method according to an exemplary embodiment of the present disclosure.
Fig. 4 is a block diagram illustrating an electronic scale according to an exemplary embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the related art, the order picking mode of the order picker according to the order information of each order one by one requires not only printing the order information of each order, but also selecting the printed receipt corresponding to the order currently picked by the order picker. In addition, the mode that the order picker picks the orders one by one according to the order information of each order has low efficiency because the order picker searches corresponding commodities repeatedly, and the problem of mistakenly sorting or missing sorting the commodities is easy to occur.
In view of the above, embodiments of the present disclosure provide a method, an electronic scale and a storage medium for picking up a product, so as to solve the problems in the related art.
Fig. 1 is a flow chart illustrating a method of picking a product according to an exemplary embodiment of the present disclosure, the method including the steps of, as shown in fig. 1:
s11, obtaining target attribute information of the to-be-sorted goods, wherein the target attribute information comprises name information of the to-be-sorted goods.
The goods to be sorted can be standard goods or non-standard goods. A standard type commodity is a product with a uniform market standard, which has a clearly uniform specification, model or style on the market, for example 250 ml of mengku milk in an online shopping scenario. Non-standard type goods refer to goods without explicit model distinction, such as bulk vegetables, fruits, and the like in an online shopping scenario.
S12, determining a target order to be sorted from the order collection to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information.
Specifically, when the target attribute information of the commodity to be sorted includes name information of the commodity to be sorted, a target order to be sorted, in which the name information of the commodity to be sorted matches the name information of the commodity to be sorted, may be determined from the collection of order to be sorted according to the name information of the commodity to be sorted. Wherein it is readily understood that the order to be sorted comprises at least one ordered item. The collection of orders to be sorted includes at least one order to be sorted.
It is understood that, the name information of the target ordered goods in the order to be sorted may be a goods name code or an abbreviation of a goods name, and the name information of the target attribute information of the goods to be sorted may be complete goods name information. Therefore, the matching of the name information of the target ordered item in the order to be sorted and the name information in the target attribute information of the item to be sorted may mean that the name information of the target ordered item in the order to be sorted corresponds to or coincides with the name information in the target attribute information of the item to be sorted.
Optionally, the target attribute information of the commodity to be sorted further includes an actual weight of the commodity to be sorted, the name information of the target ordered commodity is consistent with the name information in the target attribute information, and a difference between a required weight of the target ordered commodity and the actual weight in the target attribute information is within a preset range.
It should be exemplified that if the target attribute information of the article to be sorted includes article weight information. Then when the demanded weight of the item for order of interest in the order to be sorted is 180 to 200 g and the actual weight in the object attribute information of the item for sort is 183 g, it is also considered that the actual weight 183 g in the object attribute information of the item for sort matches the demanded weight of the item for order of interest in the order to be sorted of 180 to 200 g.
As another example, if the target attribute information of the article to be sorted includes article weight information. Then, when the required weight of the order-for-target commodity in the order to be sorted is 180 grams and the actual weight in the target attribute information of the commodity to be sorted is 200 grams, it is considered that the actual weight 183 grams in the target attribute information of the commodity to be sorted does not match the required weight 200 grams of the order-for-target commodity in the order to be sorted.
And S13, distributing the goods to be sorted to the target orders to be sorted.
After a target order to be sorted is determined from the order set to be sorted according to the target attribute information of the goods to be sorted, the goods to be sorted are allocated to the target order to be sorted. The specific implementation manner of allocating the to-be-sorted goods to the target to-be-sorted order may be to bind the to-be-sorted goods and the target to-be-sorted order, and record the binding relationship between the to-be-sorted goods and the target to-be-sorted order, or to prompt a picker to place the to-be-sorted goods in a picking cart/packing box/packing bag corresponding to the target to-be-sorted order independently through prompt information, or to place the to-be-sorted goods in a packing box corresponding to the target to-be-sorted order independently through a sorting mechanical device.
Optionally, before step S13, the method may further include the steps of: determining that the target order to be sorted does not generate return information for the target ordered item.
In the case that the goods ordered by the target in the order to be sorted is not applied for returning by the user, the goods to be sorted needs to be sorted for the order to be sorted. Thus, an implementable embodiment assigns the item to be sorted to the target order to be sorted upon a determination that the target order to be sorted does not yield return information for the target ordered item. In contrast, it is understood that, in the case where the target ordered item in the target order to be sorted is requested for return by the user, then there is no need to actually sort the target order to be sorted. Therefore, in another realizable embodiment, in the case that it is determined that the target order to be sorted generates return information for the target order item, a target order to be sorted, which includes the target order item and for which return information is not generated, may be newly determined from the collection of orders to be sorted according to the target attribute information.
By adopting the method, the target to-be-sorted order is determined from the to-be-sorted order set according to the target attribute information of the to-be-sorted commodity by acquiring the target attribute information of the to-be-sorted commodity. And distributing the goods to be sorted to the target order to be sorted. In this way, since the order picker does not need to know the specific order information of each order to be sorted in the order collection to be sorted, the redundant operation of selecting the order to be sorted by the order picker can be avoided, and the problem of wrong/missing picking possibly existing when the order picker picks the order to be sorted according to the specific order information of the order to be sorted can also be avoided. In addition, compared with the mode in the related art that the order picker picks the order one by one according to the order information of each order in the printed order set to be sorted, the mode of simultaneously sorting all the orders in the order set to be sorted according to the goods to be sorted has higher picking efficiency.
In addition, the preset range is set according to actual requirements. The problem that the actual weight of the to-be-sorted goods distributed to the target to-be-sorted order is too large in difference with the required weight of the target to-be-sorted order can be avoided by setting the preset range. And further can avoid the problem of poor online shopping quality caused by poor sorting quality (for example, two weight loss). That is to say this way also improves the sorting quality.
Optionally, in the step S12, the determining the target order to be sorted from the collection of orders to be sorted according to the target attribute information specifically includes the following steps:
determining candidate orders to be sorted including the target ordered commodity from the collection of orders to be sorted; and in the case that the candidate orders to be sorted are multiple, determining the orders to be sorted with the order predicted arrival time closest to the current time from the multiple candidate orders to be sorted as the target orders to be sorted.
In the case where a plurality of candidate orders to be sorted including the target ordered item exist in the order set to be sorted, an order to be sorted having an order expected arrival time closest to the current time is selected from the plurality of candidate orders to be sorted as the target order to be sorted.
By adopting the method, the order to be sorted with the predicted delivery time closest to the current time is sorted preferentially, so that the sorting processing of the order to be sorted can be completed preferentially, the sorting time of the order to be sorted is shortened, and the problem of overtime distribution of the order can be avoided.
Optionally, the determining, from the to-be-sorted order set, a candidate to-be-sorted order including the target ordered commodity may specifically include the following steps:
under the condition that the manual operation of the user for selecting the order to be sorted is not detected, determining candidate orders to be sorted including the target ordered commodity from the order set to be sorted; or, in the case that it is detected that the order to be sorted is manually selected by the user and the order to be sorted selected by the user does not include the target ordered commodity, determining candidate orders to be sorted including the target ordered commodity from the order set to be sorted. Any of the above implementation methods may further include: and when the condition that the order to be sorted is selected manually by the user and the target ordered commodity is included in the order to be sorted selected manually by the user is detected, taking the order to be sorted selected manually by the user as the target order to be sorted.
In one possible scenario, a user may manually select an order to be sorted according to the requirement, and use the order to be sorted selected by the user as a priority order. In detail, in the case that a user selects an order to be sorted of a priority order by manual operation, if it is determined that an order to be sorted selected by the user does not include an order to be sorted item corresponding to target attribute information of the item to be sorted in the order to be sorted according to the target attribute information of the item to be sorted, a candidate order to be sorted including the order to be sorted item is determined from a collection of orders to be sorted. And if the to-be-sorted order selected by the user is determined to include the target ordered commodity corresponding to the target attribute information of the to-be-sorted commodity according to the target attribute information of the to-be-sorted commodity, directly taking the to-be-sorted order selected by the user as the target to-be-sorted order. By adopting the method, the user can conveniently process the emergency order to be sorted, and the purpose of processing the order to be sorted which is selected by the user and has priority for sorting is realized.
Optionally, in the case that the target attribute information of the to-be-sorted goods includes the actual weight of the to-be-sorted goods, the step S11 of obtaining the target attribute information of the to-be-sorted goods may specifically include the following steps:
scanning the commodity code of the commodity to be sorted through a scanning module to obtain the target attribute information of the commodity to be sorted; or receiving name information of the to-be-sorted goods input by a user, and acquiring the actual weight of the to-be-sorted goods obtained after the weighing module weighs the to-be-sorted goods.
The commodity code may be a Universal Product Code (UPC) of a standard-type commodity, and the commodity code may also be a weighing bar code of a non-standard-type commodity.
Specifically, in the case that the goods to be sorted have a goods code, the scanning module scans the goods code of the goods to be sorted, and the target attribute information of the goods to be sorted can be obtained, wherein the goods code includes the target attribute information of the goods to be sorted, for example, the target attribute information includes a name of the goods, an actual weight of the goods, a color of the goods, a specification of the goods, and the like. Under the condition that the goods to be sorted do not have the goods code, the name information of the goods to be sorted input by a user can be received, the actual weight of the goods to be sorted, which is obtained after the goods to be sorted are weighed by the weighing module, is obtained, and therefore target attribute information such as the name information and the actual weight of the goods to be sorted is obtained. When the weighing module is an electronic scale, the name information of the to-be-sorted goods input by the user can be received, the actual weight of the to-be-sorted goods obtained after the weighing module weighs the to-be-sorted goods is obtained, and then the goods code of the to-be-sorted goods is printed through the electronic scale.
By adopting the mode, no matter whether the goods to be sorted have the goods codes or not, the target attribute information of the goods to be sorted can be obtained through the mode, so that the purpose of sorting the goods to be sorted to the target order is achieved.
Optionally, after the goods to be sorted are allocated to the target order to be sorted, if the actual weight in the target attribute information is smaller than the required weight of the goods to be ordered, performing price-refunding processing on the user of the target order to be sorted according to the difference between the required weight of the goods to be ordered and the actual weight in the target attribute information.
Illustratively, taking the required weight of the apple as the target ordered product of the target to-be-sorted order as 190 g and the actual weight of the apple as the target attribute information as 183 g, the actual weight of the apple as the target attribute information is 183 g, which is smaller than the required weight of the apple as the target ordered product of the target to-be-sorted order as 190 g, and then the price reduction process is performed for the user of the target to-be-sorted order according to the difference of 7 g between 190 g and 183 g. Wherein the process of price difference processing comprises the steps of initiating a price difference processing request; and carrying out price difference refund to the corresponding user according to the price difference refund processing request.
Further, for example, the required weight of the apple as the target order commodity of the target to-be-sorted order is 180 to 190 g, and the actual weight in the target attribute information of the apple as the commodity to be sorted is 183 g. In the case where the demand weight of the order-targeted goods of the order to be sorted corresponds to the section data value, the maximum value of the section quantity value may be used as the demand weight of the order-targeted goods of the order to be sorted. In this way, the actual weight 183 g of the target attribute information of the apple to be sorted is less than the required weight 190 g of the apple to be ordered as the target order of the target to be sorted order, and then price-off processing is performed for the user of the target to be sorted order according to the difference of 7 g between 190 g and 183 g.
Similarly, according to a specific requirement, any value in the interval data values corresponding to the required weight of the target ordered commodity of the target order to be sorted can be used as the required weight of the target ordered commodity of the target order to be sorted. The present disclosure is not particularly limited thereto.
In addition, after the goods to be sorted are allocated to the target order to be sorted, if the actual weight in the target attribute information is greater than the required weight of the goods to be sorted, the difference value that the actual weight of the goods to be sorted exceeds the required weight may be recorded. Therefore, the method is convenient for the user to periodically count the loss of the commodity and carry out information tracing.
Fig. 2 is a flow chart illustrating another method of picking a good according to an exemplary embodiment of the present disclosure, as shown in fig. 2, including the steps of:
s21, responding to manual operation of a user, and determining a first order to be sorted selected by the user;
s221, scanning a commodity code of a commodity to be sorted through a scanning module to obtain target attribute information of the commodity to be sorted, wherein the target attribute information comprises name information of the commodity to be sorted and actual weight of the commodity to be sorted;
s222, receiving name information of the to-be-sorted goods input by a user through a weighing module, and acquiring the actual weight of the to-be-sorted goods obtained after the weighing module weighs the to-be-sorted goods;
s23, judging whether the first order to be sorted comprises a target ordered commodity or not, wherein the name information of the target ordered commodity is consistent with the name information in the target attribute information, and the difference value between the required weight of the target ordered commodity and the actual weight in the target attribute information is within a preset range;
s241, under the condition that the first order to be sorted does not comprise the target ordered commodity, determining candidate orders to be sorted which comprise the target ordered commodity and do not generate goods return information for the target ordered commodity from a set of orders to be sorted;
it should be noted that, if the item to be sorted does not have an item code, the target ordered item is not included in the first order to be sorted, and there is a second order to be sorted in the collection of order to be sorted that is consistent with the name information of the target attribute information of the item to be sorted but not matched with the actual weight information of the target attribute information, in this case, if the weighing module is an electronic scale, the user may be prompted to increase or decrease the weight of the item to be sorted so that the item to be sorted matches with the second order to be sorted. The method can reduce the times of repeated sorting operation of the user for the same commodity to be sorted.
S242, when the first to-be-sorted order includes the target ordered commodity and return information is not generated for the target ordered commodity, taking the first to-be-sorted order as a target to-be-sorted order;
s251, under the condition that the candidate orders to be sorted are multiple, determining the orders to be sorted with the predicted order arrival time closest to the current time from the multiple candidate orders to be sorted as the target orders to be sorted;
and S262, taking the candidate to-be-sorted order as the target to-be-sorted order when the number of the candidate to-be-sorted orders is one.
The detailed description of the above steps has been set forth in detail in the embodiments of the method, and will not be repeated here.
Referring to fig. 3, any of the above sorting methods may further include the steps of:
s31, responding to the rechecking operation of the user for the target to-be-sorted order, and taking the target to-be-sorted order as the to-be-rechecked order.
It should be appreciated that the target to-be-sorted order may be re-checked after all ordered items in the target to-be-sorted order have been sorted or after all unsold/out ordered items in the target to-be-sorted order have been sorted. Specifically, the target to-be-sorted order may be treated as the to-be-rechecked order in response to the user determining the rechecking operation for the target to-be-sorted order.
S32, checking whether the order goods matched with the target attribute information of the goods exist in the order form to be rechecked according to the goods sorted by the order form to be rechecked.
Specifically, for each sorted commodity corresponding to the order to be rechecked, whether an ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked is checked.
Optionally, before the checking whether there is an ordered commodity matching the target attribute information of the commodity in the order to be checked, the method may include the following steps:
under the condition that the commodity has the commodity code, scanning the commodity code of the commodity through a scanning module to obtain target attribute information of the commodity; and under the condition that the commodity code does not exist, weighing the commodity through a weighing module to obtain the actual weight of the commodity, wherein the target attribute information of the commodity comprises the actual weight of the commodity.
Specifically, for each sorted commodity corresponding to the order to be rechecked, when the commodity has a commodity code, the target attribute information of the commodity can be obtained by scanning the commodity code of the commodity through the scanning module, so that whether an ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked is checked according to the target attribute information of the commodity.
And weighing each sorted commodity corresponding to the order to be rechecked by the weighing module under the condition that the commodity does not have a commodity code, so as to obtain the actual weight of the commodity. The actual weight of the item is the target attribute information of the item. If the target attribute information of the commodity further includes name information of the commodity, before or while the weighing module weighs the commodity, the weighing module receives the name information of the commodity input by the user, so that the name information of the commodity is obtained.
S33, when the order commodity matched with the target attribute information of the commodity exists in the order to be rechecked, marking the order commodity in the order to be rechecked as rechecked.
Specifically, for each sorted commodity corresponding to the order to be rechecked, if an ordered commodity matching the target attribute information of the commodity exists in the order to be rechecked, the ordered commodity in the order to be rechecked is marked as being rechecked.
By adopting the method, the user responds to the rechecking operation of the target order to be sorted, the target order to be sorted is taken as the order to be rechecked, and the order to be rechecked is rechecked. In the process of rechecking the order to be rechecked, the target attribute information of each sorted commodity corresponding to the order to be rechecked is obtained through a scanning module or a weighing module, and whether an ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked is checked according to the obtained target attribute information of the commodity. And under the condition that the ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked, marking the ordered commodity in the order to be rechecked as rechecked. Compared with the mode of manually checking each sorted commodity in turn according to the printed order information in the related art, the mode can improve the efficiency and accuracy of checking on the basis of reducing the cost of manpower checking.
Optionally, when there is a missing commodity in the sorted commodity corresponding to the order to be rechecked, the rechecking method may further include:
inquiring whether the missing ordered commodity is in a stock shortage state or not aiming at the ordered commodity with the missing order to be rechecked; and under the condition that all the missing ordered commodities of the order to be rechecked are in the out-of-stock state, marking the order to be rechecked as rechecked, and carrying out refund processing on the user of the order to be rechecked according to the missing ordered commodities.
For example, after rechecking all the sorted goods in the order to be rechecked, if it is determined that there is a missing ordered goods in the order to be rechecked, in this case, whether the missing ordered goods is in a out-of-stock state may be automatically queried, and when it is determined that all the missing ordered goods in the order to be rechecked are in an out-of-stock state, the order to be rechecked is marked as being rechecked, and meanwhile, the out-of-stock ordered goods in the order to be rechecked may also be marked as being in an out-of-stock state, and a refund process or a goods exchange process is performed on a user of the order to be rechecked according to the missing ordered goods. The refund processing flow comprises initiating a refund processing request; determining a refund type corresponding to the refund processing request, wherein the refund type comprises all refund types and partial refund types; and responding to the refund checking operation of the user to determine whether to execute the refund processing, and under the condition that the refund processing is determined to be executed, refunding is carried out on the corresponding user according to the refund type.
By adopting the method, the order to be rechecked can be automatically marked as the rechecked state is completed under the condition that the order goods which are out of stock/sold out exist in the order to be rechecked. This is more efficient than the manner in the related art in which the database is manually queried to determine whether each missing ordered item is in the out-of-stock condition in turn.
Fig. 4 is a block diagram illustrating an electronic scale according to an exemplary embodiment of the present disclosure, as shown in fig. 4, the electronic scale 400 including: a scanning module 410, a weighing module 420, a processor 430 coupled to the scanning module 410 and the weighing module 420;
the scanning module 410 is used for scanning the commodity code of the commodity;
the weighing module 420 is used for weighing the commodity;
the processor 430 is configured to obtain target attribute information of the to-be-sorted goods through the scanning module and/or the weighing module, where the target attribute information includes name information of the to-be-sorted goods; determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information; and distributing the goods to be sorted to the target orders to be sorted.
The processor 430 shown may also be used to perform the steps of any of the picking methods described in the embodiments above.
With regard to the electronic scale in the above-described embodiment, the specific manner in which the respective modules perform operations has been described in detail in the embodiment related to the method, and will not be explained in detail here.
The disclosed embodiments also provide a computer readable storage medium comprising program instructions, which when executed by a processor, implement the steps of the picking method described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (12)
1. A method of picking a product, the method comprising:
acquiring target attribute information of a commodity to be sorted, wherein the target attribute information comprises name information of the commodity to be sorted;
determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information;
and distributing the goods to be sorted to the target orders to be sorted.
2. The method of claim 1, wherein determining a target order to sort from a collection of orders to sort based on the target attribute information comprises:
determining candidate orders to be sorted including the target ordered commodity from the collection of orders to be sorted;
and in the case that the candidate orders to be sorted are multiple, determining the orders to be sorted with the order predicted arrival time closest to the current time from the multiple candidate orders to be sorted as the target orders to be sorted.
3. The method of claim 2, wherein said determining candidate orders to be sorted including the target ordered item from the set of orders to be sorted comprises:
determining the candidate orders to be sorted including the target ordered commodity from the collection of orders to be sorted under the condition that the manual operation of the user for selecting the orders to be sorted is not detected; or, when detecting that the order to be sorted is manually selected by the user and the order to be sorted selected by the user does not include the target ordered commodity, determining the candidate order to be sorted including the target ordered commodity from the order set to be sorted;
the method further comprises the following steps:
and when the condition that the order to be sorted is selected manually by the user and the target ordered commodity is included in the order to be sorted selected manually by the user is detected, taking the order to be sorted selected manually by the user as the target order to be sorted.
4. The method according to claim 2 or 3, wherein the target attribute information further includes an actual weight of the item to be sorted, the name information of the target order item is identical to the name information in the target attribute information, and a difference value between a required weight of the target order item and the actual weight in the target attribute information is within a preset range.
5. The method as claimed in claim 4, wherein the obtaining of the target attribute information of the goods to be sorted comprises:
scanning the commodity code of the commodity to be sorted through a scanning module to obtain the target attribute information of the commodity to be sorted; alternatively, the first and second electrodes may be,
and receiving name information of the goods to be sorted, which is input by a user, and acquiring the actual weight of the goods to be sorted, which is obtained after the goods to be sorted are weighed by a weighing module.
6. The method of claim 4, further comprising:
and under the condition that the actual weight in the target attribute information is smaller than the required weight of the target ordered commodity, performing price-refunding processing on the user of the target order to be sorted according to the difference value between the required weight of the target ordered commodity and the actual weight in the target attribute information.
7. The method according to any of claims 1-3, wherein prior to said assigning said item to be sorted to said target order to be sorted, comprising:
determining that the target order to be sorted does not generate return information for the target ordered item.
8. The method according to any one of claims 1-3, further comprising:
in response to the rechecking operation of the user for the target to-be-sorted order, taking the target to-be-sorted order as a to-be-rechecked order; and the number of the first and second electrodes,
according to the commodities sorted by the order to be rechecked, checking whether ordered commodities matched with the target attribute information of the commodities exist in the order to be rechecked;
and under the condition that the ordered commodity matched with the target attribute information of the commodity exists in the order to be rechecked, marking the ordered commodity in the order to be rechecked as rechecked.
9. The method of claim 8, further comprising:
inquiring whether the missing ordered commodity is in a stock shortage state or not aiming at the ordered commodity with the missing order to be rechecked;
and under the condition that all the missing ordered commodities of the order to be rechecked are in the out-of-stock state, marking the order to be rechecked as rechecked, and carrying out refund processing on the user of the order to be rechecked according to the missing ordered commodities.
10. The method according to claim 8, prior to said checking whether there is an ordered commodity matching the target attribute information of the commodity in the order to be checked, comprising:
under the condition that the commodity has the commodity code, scanning the commodity code of the commodity through a scanning module to obtain target attribute information of the commodity;
and under the condition that the commodity code does not exist, weighing the commodity through a weighing module to obtain the actual weight of the commodity, wherein the target attribute information of the commodity comprises the actual weight of the commodity.
11. An electronic scale, characterized in that the electronic scale comprises: the weighing system comprises a scanning module, a weighing module and a processor connected with the scanning module and the weighing module;
the scanning module is used for scanning the commodity code of the commodity;
the weighing module is used for weighing commodities;
the processor is used for acquiring target attribute information of the to-be-sorted goods through the scanning module and/or the weighing module, wherein the target attribute information comprises name information of the to-be-sorted goods;
determining a target order to be sorted from an order set to be sorted according to the target attribute information, wherein the target order to be sorted comprises a target ordered commodity, and the attribute information of the target ordered commodity is matched with the target attribute information;
and distributing the goods to be sorted to the target orders to be sorted.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113129031A (en) * | 2021-04-15 | 2021-07-16 | 广东便捷神科技股份有限公司 | Goods returnable method based on unmanned vending machine |
| CN113362140A (en) * | 2021-06-21 | 2021-09-07 | 山东国晟华文信息技术有限公司 | Sorting system and method based on non-standard articles such as fresh vegetables |
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2020
- 2020-10-27 CN CN202011165928.7A patent/CN112330244A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113129031A (en) * | 2021-04-15 | 2021-07-16 | 广东便捷神科技股份有限公司 | Goods returnable method based on unmanned vending machine |
| CN113129031B (en) * | 2021-04-15 | 2024-04-23 | 广东便捷神科技股份有限公司 | Goods returning method based on unmanned vending machine |
| CN113362140A (en) * | 2021-06-21 | 2021-09-07 | 山东国晟华文信息技术有限公司 | Sorting system and method based on non-standard articles such as fresh vegetables |
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