Whole-course tracing method and system for daily necessity information

Abstract

The invention relates to the technical field of data processing, in particular to a daily necessity information whole-course tracing method and system, and the method comprises the steps: obtaining a corresponding sales region, an actual sales region and the sales time of each daily necessity, obtaining the possibility that a dealer of each region carries out the remote sales in each month of each year, obtaining the tourism feature representation degree of each region in the purchase month of the articles of each day, obtaining the performance degree of the dealer in each region for remote sales in each month, and obtaining the regional abnormal performance degree of the dealer in each region for remote sales in each month in each year; therefore, the historical abnormal performance degree of the dealer in each region for remote sales in each month in each year is obtained, the historical abnormal performance degree of the dealer for remote sales is further obtained, and finally the daily necessities with incomplete tracing information are obtained. The objective of the invention is to solve the problem that the acquired daily necessities with incomplete traceability information are inaccurate.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method and system for the whole-process traceability of daily necessities information. Background Art

[0002] The whole-process traceability system for daily necessities information is a system that uses modern information technology means to collect, record, and trace the information of daily necessities in each link from raw material procurement, production and processing, warehousing and logistics to terminal sales; its purpose is to improve product quality, protect consumers' rights and interests, enhance brand trust, and provide data support for enterprises to optimize production and management processes. However, there are cases where dealers resell the goods they purchase to the sales areas of other dealers, resulting in such goods being unable to obtain complete traceability information due to the lack of the final transportation process. Furthermore, such goods cannot provide good after-sales services to users, and at the same time, it damages the interests of other dealers, so it is necessary to obtain daily necessities with incomplete traceability information.

[0003] Currently, when daily necessities factories obtain daily necessities with incomplete traceability information, they determine the daily necessities with incomplete traceability information based on whether the corresponding sales area of each daily necessity is consistent with the actual usage area. However, since some areas are tourist areas, there will be a large number of out-of-town tourists pouring in continuously in some months of each year, and some tourists will bring the daily necessities purchased in one area to another area, resulting in a large number of daily necessities with inconsistent sales areas and usage areas, and they are not daily necessities with incomplete traceability information. Summary of the Invention

[0004] The present invention provides a method and system for the whole-process traceability of daily necessities information to solve the problem that the daily necessities with incomplete traceability information obtained by the existing method are inaccurate.

[0005] The method and system for the whole-process traceability of daily necessities of the present invention adopt the following technical solutions: The present invention proposes a method for the whole-process traceability of daily necessities information, and the method includes the following steps: Obtain the corresponding sales area, actual sales area, sale time of each daily necessity, and other daily necessities contained in the packaging group where each daily necessity is located, and obtain the possibility of off-site sales by dealers in each region in each month of each year; According to the corresponding sales area and actual sales area of the daily necessities contained in the packaging group where each daily necessity is located, and the distribution of the corresponding sales areas of the daily necessities with consistent actual sales areas in each month, obtain the tourism characteristic manifestation degree of dealers in each region in each month, and further obtain the manifestation degree that each daily necessity is purchased locally; Based on the difference in the performance of local purchases of all daily necessities within the packaging group where each daily necessity is located each month and the probability of local purchase of each daily necessity, the final manifestation degree of local purchase of each daily necessity is obtained; combined with the probability of off-site sales by dealers in each region in each month of each year, the performance degree of off-site sales by dealers in each region in each month is obtained. Based on the difference in the performance degree of off-site sales by dealers in different regions in the same month, the regional abnormal performance degree of off-site sales by dealers in each region in each month of each year is obtained; based on the difference in the regional abnormal performance degree of off-site sales by dealers in the same region in the same month of different years and the difference in the manifestation degree of tourism characteristics, the historical abnormal performance degree of dealers conducting off-site sales is obtained, and then daily necessities with incomplete traceability information are obtained.

[0006] Preferably, the method for obtaining the probability of off-site sales by dealers in each region in each month of each year specifically includes: Based on the sale time of each daily necessity, the number of daily necessities sold by dealers in each region in each month of each year is obtained; Based on the corresponding sales area and the actual sales area of each daily necessity, combined with its sale time, the number of daily necessities with inconsistent actual sales area and corresponding sales area among the daily necessities sold by dealers in each region in each month of each year is obtained. Furthermore, the specific calculation formula for the probability of off-site sales by dealers in each region in each month of each year is as follows: In the formula, represents the probability of off-site sales by the dealer in the th region in the th year and the th month, represents the number of daily necessities with inconsistent actual sales area and corresponding sales area among the daily necessities sold by the dealer in the th region in the th year and the th month, represents the number of daily necessities sold by the dealer in the th region in the th year and the th month.

[0007] Preferably, the method for obtaining the manifestation degree of tourism characteristics of dealers in each region in each month based on the corresponding sales area and the actual sales area of the daily necessities contained in the packaging group where each daily necessity is located, and the distribution of the corresponding sales areas of the daily necessities with consistent actual sales areas in each month specifically includes: Daily necessities whose actual sales areas are inconsistent with the corresponding sales areas shall be recorded as daily necessities sold in other places; daily necessities purchased in the corresponding sales areas of daily necessities shall be recorded as daily necessities purchased locally; The specific calculation formula for obtaining the probability of daily necessities sold in other places being purchased locally is as follows: In the formula, Indicates Distributors in the region Year The first The possibility of purchasing daily necessities sold in other places locally. Indicates the number of daily necessities contained in the packaging group of each daily necessities. Indicates Distributors in the region Year The first The number of daily necessities whose corresponding sales areas in the packaging group of daily necessities sold in different places are consistent with the actual sales areas; The first Distributors in the region Year The first Among the sales dates of all the daily necessities in the packaging group of the daily necessities sold in different places, the month with the most appearances is recorded as Distributors in the region Year The first The month of purchase of daily necessities sold in other places; According to the distribution of corresponding sales areas of daily necessities with the same actual sales areas in each month, the degree of manifestation of tourism characteristics of dealers in each region in each daily necessities purchasing month is obtained.

[0008] Preferably, the distribution of corresponding sales areas of daily necessities with consistent actual sales areas in each month, and obtaining the degree of manifestation of tourism characteristics of dealers in each region in each daily necessities purchase month, include the following specific methods: In the formula, Indicates Distributors in the region Year The first The purchase month of daily necessities sold in other places The degree of tourism characteristics of each region, Indicates The number of daily necessities sold in the actual sales area in the th year and the th month of the th month of the purchase of daily necessities sold in different places by dealers in the th area, represents the number of daily necessities sold in the actual sales area in the th year and the th year and the th month of the th month of the purchase of daily necessities sold in different places by dealers in the th area where the corresponding sales area is not the th area, represents the number of all corresponding sales areas of daily necessities in the th area where the corresponding sales area is not the th year and the th month of the th month of the purchase of daily necessities sold in different places by dealers in the th area where the corresponding sales area is not the th area, represents function.

[0009] Preferably, the method for obtaining the local purchase performance degree of each daily necessity includes the following specific methods: In the formula, represents the local purchase performance degree of the th daily necessity sold in different places by dealers in the th year and the th month of the th area, represents the possibility of local purchase of the th daily necessity sold in different places by dealers in the th year and the th month of the th area, represents the tourism feature embodiment degree of the th area in the th year and the th month of the th month of the purchase of daily necessities sold in different places by dealers in the th area, represents function; If the corresponding sales area of a daily necessity is consistent with the actual sales area, the local purchase performance degree of the daily necessity is 1.

[0010] Preferably, obtaining the final local purchase manifestation degree of each daily necessity according to the difference in the manifestation degrees of all daily necessities in the packaging group where each daily necessity is located for local purchase within each month and the possibility of each daily necessity being purchased locally includes the following specific method: Based on the manifestation degree of all daily necessities in the packaging group where the daily necessity is located for local purchase, and the difference in the average manifestation degrees of all daily necessities sold in the packaging groups of the daily necessities included in each month of the purchase month of the daily necessity for local purchase, and combining the manifestation degree of the daily necessity for local purchase, obtain the final local purchase manifestation degree of the daily necessity; The absolute value of the difference in the average manifestation degrees of all daily necessities in the packaging group where the daily necessity is located for local purchase and the manifestation degrees of all daily necessities sold in the packaging groups of the daily necessities included in each month of the purchase month of the daily necessity for local purchase is negatively correlated with the final local purchase manifestation degree of the daily necessity; The manifestation degree of the daily necessity for local purchase is positively correlated with the final local purchase manifestation degree of the daily necessity.

[0011] Preferably, combining the possibility of the distributors in each region conducting off-site sales within each month of each year to obtain the manifestation degree of the distributors in each region conducting off-site sales in each month includes the following specific method: In the formula, represents the manifestation degree of the distributor in the th region conducting off-site sales in the th year and the th month, represents the possibility of the distributor in the th region conducting off-site sales in the th year and the th month, represents the average value of the final local purchase manifestation degrees of the daily necessities whose actual sales regions in the th year and the th month corresponding to the sales region are the th region and not the th region.

[0012] Preferably, obtaining the abnormal manifestation degree of the off-site sales region of the distributors in each region in each month of each year according to the difference in the manifestation degrees of the distributors in different regions conducting off-site sales in the same month includes the following specific method: Regarding the nearest regions to each region as the neighboring regions of each region, the is the preset number of neighboring regions. According to the performance of the dealers in each region and their neighboring regions in cross-regional sales each month within a year, combined with the distance between each region and its neighboring regions, the regional abnormal performance of the dealers in each region in cross-regional sales each month within a year is obtained; Perform weight normalization on the reciprocal of the distance between each region and its neighboring regions as the weight of the neighboring regions of each region; The product of multiplying the absolute value of the difference in the performance of the dealers in each region and their neighboring regions in cross-regional sales each month within a year by the weight of the neighboring regions of each region is positively correlated with the regional abnormal performance of the dealers in each region in cross-regional sales each month within a year; The performance of the dealers in each region in cross-regional sales each month within a year is positively correlated with the regional abnormal performance of the dealers in each region in cross-regional sales each month within a year.

[0013] Preferably, the historical abnormal performance of the dealers in cross-regional sales is obtained based on the differences in the regional abnormal performance and the tourism feature manifestation degree of the dealers in the same region in the same month in different years, and then the daily necessities with incomplete traceability information are obtained. The specific method includes: Perform weight normalization on the reciprocal of the difference in the tourism feature manifestation degree of the dealers in the same region in the same month in different years as the difference weight of the regional abnormal performance of the dealers in the same region in the same month in different years; The product of multiplying the difference in the regional abnormal performance of the dealers in the same region in the same month in different years by its difference weight is positively correlated with the historical abnormal performance of the dealers in the region in cross-regional sales each month within a year; The regional abnormal performance of the dealers in the region in cross-regional sales each month within a year is positively correlated with the historical abnormal performance of the dealers in the region in cross-regional sales each month within a year; Preset the historical abnormal performance threshold , for the dealer in the th region in the rd year and the th month, if the historical abnormal performance of the dealer in the th region in the rd year and the th month in cross-regional sales is greater than the historical abnormal performance threshold , then the selling time is the rd year and the th month, and the corresponding sales region of the th region is not the Daily necessities in a certain area, which are daily necessities with incomplete traceability information.

[0014] The present invention also provides a system for the whole-process traceability of daily necessity information, including a memory, a processor, and a computer program stored on the memory and running on the processor. The processor executes the computer program to implement the steps of the above method.

[0015] The beneficial effects of the technical solution of the present invention are as follows: When the present invention obtains daily necessities with incomplete traceability information due to off-site sales by dealers, based on the fact that when daily necessities are packaged in the factory, multiple small daily necessities are packaged in a packaging group, and this packaging group serves as the smallest transportation unit, according to the corresponding sales areas and actual sales areas of other daily necessities in the same packaging group as each daily necessity, the purchase areas of daily necessities with inconsistent corresponding sales areas and actual sales areas are then determined. The daily necessities that are purchased in the corresponding sales area and then taken to other areas are separated from the daily necessities that are transported by dealers to other areas for purchase, so that when obtaining the performance of off-site sales by dealers in each region every month, the influence of purchasers taking daily necessities from one region to another is reduced; based on the fact that when tourists travel to a certain area, they will also visit the areas around that area, so that when an area is affected by tourists, other areas around that area are also affected; according to the performance of off-site sales by dealers in multiple different regions, the regional abnormal performance of off-site sales by dealers in each region in each month is obtained, increasing the difference in the regional abnormal performance between dealers conducting off-site sales and dealers affected by tourism, thereby increasing the accuracy of separating dealers conducting off-site sales and dealers affected by tourism through a threshold, making the obtained daily necessities with incomplete traceability information more accurate. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a flowchart of the steps of a method for the whole-process traceability of daily necessity information according to the present invention. Detailed Embodiments

[0018] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following specifically describes, in conjunction with the accompanying drawings and preferred embodiments, a method and system for full-process traceability of daily necessities information according to the present invention, including its specific implementation manner, structure, features and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0020] The following specifically describes the specific solution of a method and system for full-process traceability of daily necessities information provided by the present invention in conjunction with the accompanying drawings.

[0021] Please refer to Figure 1 , which shows a flowchart of the steps of a method for full-process traceability of daily necessities information provided by an embodiment of the present invention. The method includes the following steps: Step S001: Obtain the corresponding sales area, actual sales area, sale time of each daily necessity, and other daily necessities contained in the packaging group where each daily necessity is located, so as to obtain the possibility of off-site sales by dealers in each region every month of each year.

[0022] It should be noted that since many current users do not have the habit of scanning the code for traceability after purchasing goods, some counterfeit and shoddy products are circulating in the market. In order to cultivate users' habit of scanning the code for traceability, enterprises will give a traceability code on the surface of the goods. After the user scans the traceability code and obtains the traceability information of the goods, a reward code will be provided to the user. The user allows the dealer to scan the reward code to receive the reward, and the area where the user uses the daily necessity can be obtained according to the area where the user scans the reward code.

[0023] It should be further noted that when the daily necessity manufacturer produces daily necessities, a production code is assigned to each daily necessity. The enterprise then sells the daily necessities to different dealers according to the production code. And since the production code of the daily necessity is in one-to-one correspondence with the traceability code, the sales area and actual award redemption area corresponding to the daily necessity can be obtained according to the production code of the daily necessity.

[0024] It should be further noted that this method is used to obtain daily necessities with incomplete traceability information. When a distributor in one region transports goods to the area where another distributor is located for sale, since this behavior is not allowed by the daily necessities manufacturer, the traceability information of these daily necessities transported to the sales area of another distributor does not include the transportation information of these daily necessities being transported to other regions. That is, daily necessities with incomplete traceability information can be obtained by acquiring the goods transported by the distributor to different locations.

[0025] It should be further noted that due to the small size of daily necessities, some people may take the daily necessities from one region to another for use. Therefore, simply relying on whether the actual sales area of each daily necessity is consistent with the corresponding sales area cannot directly determine whether each daily necessity is a daily necessity transported by the distributor to a different location. Therefore, the possibility of a distributor in each region engaging in off-site sales is calculated. If the possibility of a distributor in a region engaging in off-site sales is relatively high, then for daily necessities whose corresponding sales area is in this region and the actual sales area is in other regions, the possibility of being daily necessities sold by the distributor in off-site sales is relatively high; if the possibility of a distributor in a region engaging in off-site sales is relatively low, then for daily necessities whose corresponding sales area is in this region and the actual sales area is in other regions, the possibility of being daily necessities sold by the distributor in off-site sales is relatively low.

[0026] It should be further noted that when a distributor in a region engages in off-site sales, there will be many daily necessities whose corresponding sales area is in this region and the actual sales area is in other regions. Therefore, based on the daily necessities whose corresponding sales area is consistent with the actual sales area among the daily necessities sold in each region each month, the possibility of a distributor in each region engaging in off-site sales each month is obtained.

[0027] Specifically, according to the production code of each daily necessity, the corresponding sales area of each daily necessity is obtained from the sales database of the daily necessities manufacturer, and other daily necessities contained in the packaging group where each daily necessity is located are acquired. According to the actual redemption area of the production code of each daily necessity, the actual redemption area of each daily necessity is obtained. The actual redemption area of the daily necessity is recorded as the actual sales area of the daily necessity. The redemption time of each daily necessity is recorded as the sale time of the daily necessity. Among them, the daily necessities mentioned in this embodiment are all daily necessities of the same type, the same brand, and the same series.

[0028] Furthermore, according to the sale time of each daily necessity, the number of daily necessities sold by the distributor in each region each month of each year is obtained.

[0029] Further, according to the corresponding sales area and the actual sales area of each daily necessity, combined with its selling time, the number of daily necessities with inconsistent actual sales areas and corresponding sales areas among the daily necessities sold by the distributors in each region in each month of each year is obtained. Furthermore, the specific calculation formula for the possibility of off-site sales by the distributors in each region in each month of each year is as follows: In the formula, represents the possibility of off-site sales by the distributor in the th region in the th year and the th month, represents the number of daily necessities with inconsistent actual sales areas and corresponding sales areas among the daily necessities sold by the distributor in the th region in the th year and the th month, represents the number of daily necessities sold by the distributor in the th region in the th year and the th month.

[0030] It should be noted that reflects the number of daily necessities sold by the distributor in the th region in the th year and the th month that are sold in the sales areas of other distributors. The larger this value is, the greater the possibility that the distributor in the th region brings the daily necessities to the sales areas of other distributors for sale in the th year and the th month. That is, the smaller the possibility that the traceability information of the daily necessities with inconsistent actual sales areas and corresponding sales areas among the daily necessities sold by the distributor in the th region in the th year and the th month is incomplete; The smaller the value of is, the smaller the possibility that the distributor in the th region brings the daily necessities to the sales areas of other distributors for sale in the th month. That is, the smaller the possibility that the traceability information of the daily necessities with inconsistent actual sales areas and corresponding sales areas among the daily necessities sold by the distributor in the th region in the th year and the th month is incomplete.

[0031] Thus, the possibility of off-site sales by dealers in each region every month of each year is obtained.

[0032] Step S002: Based on the corresponding sales regions and actual sales regions of the daily necessities contained in each packaging group where each daily necessity is located, and the distribution of the corresponding sales regions of the daily necessities with consistent actual sales regions within each month, the degree of manifestation of the tourism characteristics of dealers in each region in each month is obtained, and then the degree of performance of each daily necessity being purchased locally is obtained.

[0033] It should be noted that due to the relatively small volume of daily necessities, it is relatively easy for users to carry daily necessities from one region to another region, resulting in some users, after purchasing daily necessities, carrying the daily necessities from the sales region of one dealer to the sales region of another dealer. This causes some daily necessities to be purchased by users within the sales area of one dealer and scanned for traceability and redeemed for prizes within the sales region of another dealer, so that a daily necessity with a consistent actual sales region and corresponding sales region is shown as a daily necessity with an inconsistent actual sales region and corresponding sales region. Furthermore, this makes the possibility of off-site sales by dealers in each region every month of each year inaccurate. Therefore, calculate the possibility that each daily necessity with an inconsistent actual sales region and corresponding sales region is a daily necessity with a consistent actual sales region and corresponding sales region, and then correct the possibility of off-site sales by dealers in each region every month of each year.

[0034] Furthermore, it should be noted that when items such as toothpaste in daily necessities are packaged in the factory, first a toothpaste is placed in a packaging box to complete the packaging of 1 toothpaste, and each toothpaste corresponds to a traceability code. Then several packaged toothpastes are packaged together as a small toothpaste set, and then several small toothpaste sets are placed together as a large toothpaste set. For example, when a brewery packs beer, first each can of beer is packaged, then 6 bottles of beer are grouped as a case, and 6 bottles of beer are packaged together, and then several cases of beer are packaged into a box. In addition, when dealers transport daily necessities such as toothpaste, the small toothpaste set is already the smallest transportation unit, and dealers will not disassemble a small toothpaste set and transport the toothpastes within a small toothpaste set to different regions because this workload is large, and when the toothpaste is disassembled and transported separately, it may damage the outer packaging of the toothpaste and affect sales. Therefore, based on the corresponding sales regions and actual sales regions of each toothpaste and the other toothpastes within the small toothpaste set where it is located, the possibility that the daily necessities with corresponding sales regions and actual sales regions are purchased from other regions is obtained.

[0035] It should be further noted that since the dealer is transporting daily necessities, and the packaging group where the daily necessities are located is already the smallest transportation unit, the daily necessities within a packaging group are sold in the same area. As a result, when a daily necessity is transported by the dealer to other regions for sale, the actual sales areas of multiple daily necessities within the packaging group are inconsistent with the corresponding sales areas; while when a daily necessity is purchased by a buyer and taken from one region to another, since the probability of a daily necessity being taken from one region to another by a buyer is low, the actual sales areas of multiple daily necessities within the packaging group are consistent with the corresponding sales areas. Therefore, based on the consistency between the corresponding sales areas and the actual sales areas of other daily necessities within each small set of daily necessities, the probability that a daily necessity with inconsistent actual sales area and corresponding sales area is purchased within the corresponding sales area is obtained.

[0036] It should be further noted that since some cities are tourist cities, a large number of tourists will flow into these cities during a certain period of each year. And some tourists will take the daily necessities purchased at the destination to other regions after leaving the destination. Since there are a relatively large number of tourists flocking into tourist cities in a short period of time, multiple daily necessities within a daily necessity packaging group will be used within the sales areas of other dealers, which in turn leads to a relatively low probability that the daily necessities purchased by many tourists within the corresponding sales areas of the daily necessities are shown as being purchased locally. Therefore, the probability that the daily necessities are purchased locally is corrected.

[0037] It should be further noted that if a large number of tourists flood into a city during certain months of each year, then when these users arrive in this area, they will also bring a large quantity of daily necessities, resulting in a large quantity of daily necessities that should be sold in other regions being used in this area for a period of time. And since the tourists coming to a region for tourism come from many places across the country, it further causes a situation where daily necessities that should be sold in multiple different regions appear in this area for a period of time. Therefore, based on each daily necessity with different corresponding sales areas and actual sales areas, the daily necessities that appear within the corresponding sales area of this daily necessity during the purchase month are obtained, and the degree of tourism characteristics manifestation of each sales area is obtained, and then the manifestation degree that each daily necessity sold in a different place is purchased locally is obtained.

[0038] It should be further noted that since some users do not use the daily necessities immediately after purchasing them, but will use them after a period of time. For example, some users will buy several toothpastes at one time, resulting in a large difference between the purchase time and the use time of some toothpastes. Therefore, based on the selling time of most daily necessities within the packaging group where the daily necessity is located, the actual purchase time of each daily necessity is obtained.

[0039] Specifically, daily necessities with inconsistent actual sales regions and corresponding sales regions are recorded as daily necessities sold in different regions; daily necessities purchased within the corresponding sales regions of daily necessities are recorded as daily necessities purchased locally.

[0040] Furthermore, the specific calculation formula for obtaining the probability that a daily necessity sold in a different region is purchased locally is as follows: In the formula, represents the probability that the th daily necessity sold in a different region by the dealer in the th year and the th month is purchased locally, represents the number of daily necessities contained in the packaging group where each daily necessity is located, represents the number of daily necessities with consistent corresponding sales regions and actual sales regions in the packaging group where the th daily necessity sold in a different region by the dealer in the th year and the th year and the th month is located. It should be noted that the larger the value of

[0041] , the more it conforms to the characteristic that when a daily necessity is purchased within the corresponding sales region, many daily necessities in the packaging group where the daily necessity is located have consistent actual sales regions and corresponding sales regions, that is, the probability that the th daily necessity sold in a different region by the dealer in the th region and the th year and the th month is purchased locally is greater; the smaller the value of , the more it conforms to the characteristic that when a daily necessity is transported by the dealer to the sales region of other dealers for sale, many daily necessities in the packaging group where the daily necessity is located have inconsistent actual sales regions and corresponding sales regions, that is, the probability that the th daily necessity sold in a different region by the dealer in the th region and the th year and the th month is not purchased within the corresponding sales region is greater.

[0042] Furthermore, among the selling times of all daily necessities in the packaging group where the th daily necessity sold in a different region by the dealer in the th region and the th year and the th month is located, the month with the most occurrences is recorded as the th month of the th region and the The purchase month of the th daily necessities sold in different regions within the

[0043] Further, obtain the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month of the th region's tourism feature manifestation degree, and the specific calculation formula is as follows: In the formula, represents the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month of the th region's tourism feature manifestation degree (if the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month is the th month of the th year, then the th region's dealer's purchase month of the th month of the tourism feature manifestation degree is represents the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month of the th region's daily necessities quantity with the actual sales area being the represents the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month of the th region's daily necessities quantity with the actual sales area not being the th region, represents the th region's dealer's purchase month of the th daily necessities sold in different regions within the th month of the th region's daily necessities quantity with the actual sales area not being the The number of corresponding sales regions for all daily necessities in a region (counting the number of different corresponding sales regions), Indicates Function, this embodiment is used for normalization processing.

[0044] It should be noted that The larger the value, the more it conforms to the characteristic that when a large number of tourists pour into a region, it will bring a large number of daily necessities with corresponding sales regions in other regions to this region, that is, the greater the influence of tourists on this region; The smaller the value, the more it conforms to the characteristic that when a region is not a tourist area, there will not be a large number of daily necessities with corresponding sales regions in other regions in this region, that is, the smaller the influence of tourists on this region; The larger the value, the more it conforms to the characteristic that when a region is a tourist area, the tourists in this region come from all over the country. At this time, the greater the influence of tourists on this region; The smaller the value, the more it shows corresponding sales, and the more it conforms to the characteristic that when a region is a tourist area, the tourists in this region come from all over the country. At this time, the greater the influence of tourists on this region.

[0045] Furthermore, the specific calculation formula for obtaining the performance degree of each daily necessity sold in a different place and purchased locally is as follows: In the formula, Represents the performance degree of the th dealer in the th year and the th month for the th daily necessity sold in a different place and purchased locally, Represents the possibility that the th dealer in the th year and the th month will purchase the th daily necessity sold in a different place, Represents the degree of tourism characteristics of the th region in the purchase month of the th year and the th month for the th daily necessity sold in a different place, th region, Indicates Function, this embodiment is used for normalization processing.

[0046] It should be noted that The larger the value, the greater the influence of tourism factors on the th dealer in the th year and the th month, so that in the In the th month within the th region, many daily necessities sold are bought by tourists and taken to other places for use, resulting in a lower likelihood that the daily necessities purchased in the th year in the th month within the th region are for local purchase. Therefore, use to correct the likelihood that the daily necessities sold to other regions by the dealer in the th region in the th year in the th month within the th region are for local purchase; The smaller the value of is, the less the dealer in the th region is affected by tourism factors in the th month of the th year. When the likelihood that the daily necessities purchased in the th month within the th region are for local purchase is small, it indicates that the likelihood that the daily necessities sold to other regions by the dealer in the th region in the th year in the th month within the th region are purchased in the sales areas of other dealers is greater.

[0047] Furthermore, if the corresponding sales area of a daily necessity is the same as the actual sales area, the local purchase performance degree of this daily necessity is 1.

[0048] Thus far, the local purchase performance degree of each daily necessity is obtained.

[0049] Step S003: Based on the difference in the local purchase performance degrees of all daily necessities within the packaging group where each daily necessity is located each month and the likelihood that each daily necessity is for local purchase, obtain the final local purchase manifestation degree of each daily necessity; combined with the likelihood that the dealers in each region conduct off-site sales each month of each year, obtain the off-site sales performance degree of the dealers in each region each month.

[0050] It should be noted that when a large number of tourists enter a region, these tourists will be scattered in multiple places in the region, resulting in tourists and local residents buying daily necessities at different sales locations within the sales area of a dealer. As a result, the likelihood of the daily necessities in the set of daily necessities at different sales locations within the sales area of a dealer being locally purchased is relatively similar. When a dealer in a region transports daily necessities to the sales area of other dealers, most of the daily necessities in the transported daily necessity packages to other sales areas are those with inconsistent actual sales areas and corresponding sales areas, resulting in a relatively low degree of local purchase performance for these daily necessities; most of the daily necessities sold within the sales area where the dealer is located are those with consistent actual sales areas and corresponding sales areas, thus resulting in a relatively high degree of local purchase performance for these daily necessities. Therefore, based on the differences in the local purchase performance of the daily necessities sold within different daily necessity packages, the final local purchase manifestation degree of each daily necessity shown as off-site sales is obtained, and then the manifestation degree of off-site sales by the dealers in each region within each month of each year is obtained.

[0051] Specifically, based on the difference in the average value between the local purchase performance of all daily necessities within the package where the daily necessity is located and the local purchase performance of all daily necessities sold within the daily necessity packages in which the daily necessities included in the purchase month of the daily necessity are sold, combined with the local purchase performance of the daily necessity, the final local purchase manifestation degree of the daily necessity is obtained; The difference in the average value between the local purchase performance of all daily necessities within the package where the daily necessity is located and the local purchase performance of all daily necessities sold within the daily necessity packages in which the daily necessities included in the purchase month of the daily necessity are sold is negatively correlated with the final local purchase manifestation degree of the daily necessity; The local purchase performance of the daily necessity is positively correlated with the final local purchase manifestation degree of the daily necessity; in this embodiment, the specific calculation formula for obtaining the final local purchase manifestation degree of each off-site sold daily necessity is as follows; In the formula, represents the final local purchase manifestation degree of the th off-site sold daily necessity by the dealer in the th year and the th month of the th region, represents the number of daily necessity packages in which the daily necessities included in the purchase month of the th off-site sold daily necessity by the dealer in the th year and the th month of the th region are sold, Indicates the dealer in the year, in the month, the mean of the degree of local purchase of all daily necessities in the packaging group where the th daily necessity sold in a different place is located, Indicates the dealer in the year, in the month, the mean of the degree of local purchase of all daily necessities sold in the packaging group where the th daily necessity sold in a different place is sold in the month when the th included daily necessity is sold, Indicates the dealer in the year, in the month, the degree of local purchase of the th daily necessity sold in a different place, Indicates function, which is used for normalization processing in this embodiment; Indicates the absolute value function, is the exponential function with the natural number as the base. In this embodiment, model is used to present the inverse proportional relationship, is the input of the model, and the implementer can set the inverse proportional function according to the actual situation.

[0052] It should be noted that the smaller the value of, the more it conforms to the characteristic that when a product is purchased in the corresponding sales area, the degree of local purchase of daily necessities in different daily necessity packaging groups is more similar, indicating that the possibility of this daily necessity being purchased in the corresponding sales area is greater. Therefore, the inverse proportional function is used to adjust; the larger the value of, the more it conforms to the characteristic that when a product is transported by a dealer to other areas for sale, there is a large difference in the degree of local purchase of daily necessities in the daily necessity packaging group in the corresponding sales area and the degree of local purchase of daily necessities in the daily necessity packaging group in the non-corresponding sales area. Therefore, the inverse proportional function is used to adjust.

[0053] Furthermore, the specific calculation formula for obtaining the degree of performance of cross-regional sales by dealers in each region every month is as follows: In the formula, Indicates the dealer in the year, within the The performance of off-site sales in a certain month Indicates the dealer in the year, in the month, the possibility of off-site sales Indicates that in the year, in the month, the corresponding sales area is the th region, and the average value of the final manifestation degree that the daily necessities actually sold in the region are not purchased locally in the th region

[0054] It should be noted that The larger the value of , the more it indicates that in the month of the year, the corresponding sales area is the th region, and the daily necessities actually sold in the region are not purchased locally in the th region, but are mostly brought by tourists from the corresponding sales area to the actual sales area by tourists, indicating that the dealer in the year, in the month, has a relatively low possibility of off-site sales

[0055] Thus, the manifestation degree of off-site sales of dealers in each region in each month of each year is obtained

[0056] Step S004: According to the differences in the manifestation degrees of off-site sales of dealers in different regions in the same month, obtain the abnormal manifestation degrees of off-site sales regions of dealers in each region in each month of each year; according to the differences in the abnormal manifestation degrees of off-site sales regions of dealers in the same region in the same month in different years and the differences in the manifestation degrees of tourism characteristics, obtain the historical abnormal manifestation degrees of dealers conducting off-site sales, and then obtain the daily necessities with incomplete traceability information

[0057] It should be noted that when a large number of tourists travel to a place, they will also travel to other areas around the destination after arriving at the destination. This makes it that if there are a large number of tourists in a region, there will also be a large number of tourists in other areas around that region. As a result, when a region is affected by tourists, the manifestation degree of off-site sales of dealers in that region is relatively similar to the manifestation degree of off-site sales of dealers in other areas around that region. Therefore, according to the manifestation degrees of off-site sales of dealers in each region and the manifestation degrees of off-site sales of other areas around that region, the abnormal manifestation degrees of off-site sales regions of dealers in each region are obtained

[0058] It should be further explained that in order to continue to increase the difference, the regional abnormal performance of the dealers in each region for off-site sales will continue to be corrected. Because when the dealers sign a contract with the daily necessities manufacturer, the daily necessities manufacturer does not allow dealers in one region to bring goods to other dealers for sale in the area. If a dealer in one region brings goods to dealers in other regions for sale, he must prevent the daily necessities manufacturer and dealers in other regions from discovering that he brought goods to other places for sale. When the dealers in each region sell goods in other places, the sales volume is too affected by external factors, resulting in too much difference between the dealers in each region and the historical data when they sell goods in other places. The difference between the passenger flow in tourist areas each year and that in other years will not be too large, so that if a region is affected by tourism factors, the current data of the region is relatively similar to the historical data. Therefore, the regional abnormal performance of the dealers in each region for off-site sales is corrected based on historical data.

[0059] Specifically, it will be The closest region Region as the The number of neighboring regions of a region is preset in this embodiment. , this is used as an example for description, and other values ​​may be set in other implementation modes.

[0060] Furthermore, based on the performance of the dealers in each region and its neighboring regions in conducting off-site sales every month in each year, combined with the distance between each region and its neighboring regions, the regional abnormal performance of the dealers in each region in conducting off-site sales every month in each year is obtained; The inverse of the distance between each region and its neighboring regions is weighted and normalized as the weight of each region’s neighboring regions; The product of the absolute value of the difference in performance of off-site sales between each region and its neighboring regions in each month of each year and the weight of each region's neighboring regions is positively correlated with the regional abnormal performance of off-site sales by the dealers in each region in each month of each year; The performance of the dealers in each region in off-site sales every month in each year is positively correlated with the regional abnormal performance of the dealers in each region in off-site sales every month in each year. The specific calculation formula for obtaining the regional abnormal performance of the dealers in each region in off-site sales is as follows: In the formula, Indicates Distributors in the region Year The abnormal performance of regions that conduct off-site sales in the past month, Indicates the performance of the dealer in the th region in off-site sales in the th year and the th month. Indicates the number of neighboring regions of the th region. Indicates the distance between the th region and its th neighboring region. Indicates the performance of the dealer in the th region's th neighboring region in off-site sales in the th year and the th month. Indicates the weight normalization function, and its input object is the reciprocal of the distance between the th region and each of its neighboring regions. Indicates the absolute value function.

[0061] It should be noted that the smaller the value of, the shorter the distance between the th region and its th neighboring region. Further, it indicates that the influence of tourists on the two regions is more similar. Therefore, is used as a weight parameter; the smaller the value of, the more it conforms to the characteristic that when a region is greatly affected by tourists, the performance of off-site sales between the region and its surrounding regions is more similar; the larger the value of, the less it conforms to the characteristic that when a region is greatly affected by tourists, the performance of off-site sales between the region and its surrounding regions is more similar.

[0062] Specifically, the years before the th year are used as the comparison historical years for the th year. The number of comparison historical years preset in this embodiment is . Taking this as an example for description, other values can be set in other embodiments.

[0063] Furthermore, the reciprocal of the difference in the degree of tourism characteristics of the dealers in the same region in the same month in different years is weight-normalized as the difference weight of the abnormal performance of off-site sales in the same month of the dealers in the same region in different years; The product of the difference in the abnormal performance of off-site sales of the dealers in the same region in the same month in different years multiplied by its difference weight is positively correlated with the historical abnormal performance of off-site sales of the dealers in each month of each year in the region; The regional abnormal performance degree of dealers in the same area for off-site sales in each month of the year is positively correlated with the historical abnormal performance degree of the dealers in this area for off-site sales in each month of the year; in this embodiment, the specific calculation formula for obtaining the historical abnormal performance degree of the dealers in this area for off-site sales in each month of the year is: In the formula, represents the historical abnormal performance degree of the dealer in the th area for off-site sales in the th year and the th month; represents the regional abnormal performance degree of the dealer in the th area for off-site sales in the th year and the th month; represents the number of historical years for comparison; represents the tourism feature manifestation degree of the dealer in the th area in the th year and the th month; represents the tourism feature manifestation degree of the dealer in the th area in the th year and the th month; represents the regional abnormal performance degree of the dealer in the th area for off-site sales in the th year and the th month; represents the weight normalization function, and its input object is the reciprocal of the absolute value of the difference in the tourism feature manifestation degree of the dealer in the th area in different years and the th month; represents the absolute value function.

[0064] It should be noted that the larger the value of , it indicates that the difference in the influence of tourism on the dealer in the th year and the th month and the th year and the th month is relatively large, resulting in a relatively large difference in the regional abnormal performance degree of the dealer for off-site sales in the th month in these two years under normal circumstances. Therefore, weights are assigned according to ; the smaller the value of , the more it conforms to the characteristic that when a region is affected by tourism factors, the regional abnormal performance degrees in the same month of different years are relatively similar.The larger the value, the more it conforms to the characteristic that when a dealer in a region conducts off-site sales, the monthly load is greatly affected by external factors during off-site sales, resulting in a large difference in the abnormal performance degree of the same region in different years within the same month.

[0065] Further, a preset historical abnormal performance degree threshold is set. , for the dealer in the th region in the th year and the th month, if the historical abnormal performance degree of the dealer in the th region during off-site sales in the th year and the th month is greater than the historical abnormal performance degree threshold , then the selling time is the th year and the th month, and the corresponding sales region is the actual sales region of the th region, which is not the daily necessities of the th region, and is the daily necessities with incomplete traceability information. The preset historical abnormal performance degree threshold in this embodiment is described by taking this as an example, and it can be set to other values in other implementation manners.

[0066] So far, this embodiment is completed.

[0067] Another embodiment of the present invention provides a daily necessities information whole-process traceability system, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the above method steps S001 to step S004 are implemented.

[0068] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for tracing daily necessities information throughout the entire process, characterized in that: The method comprises the following steps: Obtain the corresponding sales area, actual sales area, sales time and other daily necessities contained in the packaging group of each daily necessities, and obtain the possibility of cross-region sales by distributors in each region in each month of each year; According to the corresponding sales area and actual sales area of ​​the daily necessities contained in the packaging group of each daily necessities, as well as the distribution of the corresponding sales areas of the daily necessities with the same actual sales area in each month, the degree of tourism characteristics of the distributors in each region in each month is obtained, and then the degree of local purchase of each daily necessities is obtained; According to the difference in the degree of local purchase of all daily necessities in the packaging groups of different daily necessities in each month and the possibility of local purchase of each daily necessities, the final degree of local purchase of each daily necessities is obtained; combined with the possibility of off-site sales by dealers in each region in each month of each year, the degree of off-site sales by dealers in each region in each month is obtained; Based on the differences in the performance of dealers in different regions conducting off-site sales in the same month, the regional abnormal performance of dealers in each region conducting off-site sales in each month of each year is obtained; based on the differences in the regional abnormal performance of dealers in the same region conducting off-site sales in the same month of different years and the differences in the manifestation of tourism characteristics, the historical abnormal performance of dealers conducting off-site sales is obtained, and then the daily necessities with incomplete traceability information are obtained.

2. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The specific method for obtaining the possibility of the dealers in each region to conduct cross-region sales in each month of each year includes: According to the sales time of each daily necessities, the number of daily necessities sold by the dealers in each region in each month of each year is obtained; According to the corresponding sales area and actual sales area of ​​each daily necessities, combined with its sales time, the number of daily necessities sold by dealers in each region in each month of each year whose actual sales area is inconsistent with the corresponding sales area is obtained, and then the specific calculation formula for the possibility of dealers in each region conducting cross-region sales in each month of each year is obtained as follows: In the formula, Indicates Distributors in the region Year The possibility of making a remote sale within a month, Indicates Distributors in the region Year The number of daily necessities sold in the month whose actual sales area is inconsistent with the corresponding sales area, Indicates Distributors in the region Year The number of daily necessities sold in a month.

3. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The method of obtaining the degree of tourism feature manifestation of distributors in each region in each month according to the corresponding sales area and the actual sales area of ​​the daily necessities contained in the packaging group of each daily necessities and the distribution of the corresponding sales areas of the daily necessities with the same actual sales area in each month includes: Daily necessities whose actual sales areas are inconsistent with the corresponding sales areas shall be recorded as daily necessities sold in other places; daily necessities purchased in the corresponding sales areas of daily necessities shall be recorded as daily necessities purchased locally; The specific calculation formula for obtaining the probability of daily necessities sold in other places being purchased locally is as follows: In the formula, Indicates Distributors in the region Year The first The possibility of purchasing daily necessities sold in other places locally. Indicates the number of daily necessities contained in the packaging group of each daily necessities. Indicates Distributors in the region Year The first The number of daily necessities whose corresponding sales areas in the packaging group of daily necessities sold in different places are consistent with the actual sales areas; The first Distributors in the region Year The first Among the sales dates of all the daily necessities in the packaging group of the daily necessities sold in different places, the month with the most appearances is recorded as Distributors in the region Year The first The month in which the daily necessities sold in other places were purchased; According to the distribution of corresponding sales areas of daily necessities with the same actual sales areas in each month, the degree of manifestation of tourism characteristics of dealers in each region in each daily necessities purchasing month is obtained.

4. A method for tracing daily necessities information throughout the entire process according to claim 3, characterized in that: The specific method for obtaining the degree of tourism characteristics of distributors in each region in each month of purchase of daily necessities according to the distribution of corresponding sales areas of daily necessities with the same actual sales areas in each month is as follows: In the formula, Indicates Distributors in the region Year The first The purchase month of daily necessities sold in other places The degree of tourism characteristics of each region, Indicates Distributors in the region Year The first The actual sales area of ​​the daily necessities sold in different places in the purchase month is The number of daily necessities in a region, Indicates Distributors in the region Year The first The actual sales area of ​​the daily necessities sold in different places in the purchase month is The corresponding sales area of ​​the region is not The quantity of daily necessities in a region, Indicates Distributors in the region Year The first The actual sales area of ​​the daily necessities sold in different places in the purchase month is The corresponding sales area of ​​the region is not The number of corresponding sales areas for all daily necessities in a region, express function.

5. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The specific method for obtaining the degree of local purchase of each daily necessities is as follows: In the formula, Indicates Distributors in the region Year The first The daily necessities sold in other places are the performance of local purchases. Indicates Distributors in the region Year The first The possibility of purchasing daily necessities sold in other places locally. Indicates Distributors in the region Year The first The purchase month of daily necessities sold in other places The degree of tourism characteristics of each region, express function; If the corresponding sales area of ​​a daily necessity is consistent with the actual sales area, the performance degree of the daily necessity being purchased locally is 1.

6. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The method of obtaining the final degree of local purchase of each daily necessities according to the difference in degree of local purchase of all daily necessities in the packaging groups of different daily necessities in each month and the possibility of local purchase of each daily necessities includes: The final degree of local purchase of daily necessities is obtained by combining the degree of local purchase of daily necessities with the difference in the mean value of local purchase of all daily necessities sold in each daily necessities packaging group in which the daily necessities are sold in the purchase month of the daily necessities and the degree of local purchase of daily necessities; The degree of local purchase of all daily necessities in the packaging group of daily necessities is negatively correlated with the absolute value of the difference between the mean of the degree of local purchase of all daily necessities sold in the packaging groups of daily necessities in which the daily necessities were sold in the purchase month of the daily necessities, and the final degree of local purchase of daily necessities. The performance degree of daily necessities being purchased locally is positively correlated with the final manifestation degree of daily necessities being purchased locally.

7. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The possibility of the dealers in each region conducting off-site sales in each month of each year is combined to obtain the performance of the dealers in each region conducting off-site sales in each month, including the specific method of: In the formula, Indicates Distributors in the region Year Months of off-site sales performance, Indicates Distributors in the region Year The possibility of making a remote sale within a month, Indicated in Year The corresponding sales area in the month is The actual sales area of ​​the region is not The daily necessities in each region are the average of the final degree of local purchases.

8. A method for full-process tracing of daily necessities information according to claim 1, characterized in that: The specific method for obtaining the regional abnormal performance degree of the dealers in each region performing off-site sales in each month in each year based on the differences in the performance degree of the dealers in different regions performing off-site sales in the same month is as follows: The nearest regions as neighboring regions of each region, The number of neighboring regions is preset. Based on the performance of dealers in each region and its neighboring regions in conducting cross-regional sales every month in each year, combined with the distance between each region and its neighboring regions, the regional abnormal performance of dealers in each region in conducting cross-regional sales every month in each year is obtained. The inverse of the distance between each region and its neighboring regions is weighted and normalized as the weight of each region’s neighboring regions; The product of the absolute value of the difference in performance of off-site sales between each region and its neighboring regions in each month of each year and the weight of each region's neighboring regions is positively correlated with the regional abnormal performance of off-site sales by the dealers in each region in each month of each year; The performance of dealers in each region in conducting off-site sales every month within each year is positively correlated with the regional abnormal performance of dealers in each region in conducting off-site sales every month within each year.

9. A method for tracing daily necessities information throughout the entire process according to claim 1, characterized in that: The method of obtaining the historical abnormal performance of the distributors who conduct off-site sales based on the differences in regional abnormal performance and tourism characteristic performance of the distributors in the same region in different years and months, and then obtaining the daily necessities with incomplete traceability information includes the following specific methods: The reciprocal of the difference in the degree of manifestation of tourism characteristics of dealers in the same region in the same month of different years is weighted and normalized as the difference weight of the regional abnormal manifestation of dealers in the same region in different years and the same month in different regions; The product of the difference in regional abnormal performance of cross-region sales conducted by dealers in the same region in different years and the weight of the difference is positively correlated with the historical abnormal performance of cross-region sales conducted by dealers in the region in each month of each year. The regional abnormal performance of dealers in the same region in conducting out-of-region sales in each month of each year is positively correlated with the historical abnormal performance of dealers in the same region in conducting out-of-region sales in each month of each year; Preset historical abnormal performance threshold , for the Distributors in the region Year Month, if Distributors in the region Year The historical abnormal performance of off-site sales in the past month is greater than the historical abnormal performance threshold , then the selling time is Year The corresponding sales area for the month is The actual sales area of ​​the region is not Daily necessities in various regions and daily necessities with incomplete traceability information.

10. A daily necessities information full-process traceability system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of a method for full-process tracing of daily necessities information as described in any one of claims 1 to 9 are implemented.

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