WO2017124566A1 - Statistical method for stocking technical data according to sales situation, and stocking system - Google Patents
Statistical method for stocking technical data according to sales situation, and stocking system Download PDFInfo
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- WO2017124566A1 WO2017124566A1 PCT/CN2016/071925 CN2016071925W WO2017124566A1 WO 2017124566 A1 WO2017124566 A1 WO 2017124566A1 CN 2016071925 W CN2016071925 W CN 2016071925W WO 2017124566 A1 WO2017124566 A1 WO 2017124566A1
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- the invention belongs to the field of internet, and in particular relates to a statistical method for stocking technical data according to sales situation and a stocking system.
- the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447.
- the inventions of the two companies about 80% of the total number of invention patents related to user experience and direct user operations.
- similar patent applications, including other companies based on user experience are also of a large order of magnitude, such as Huawei.
- the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
- core technologies such as CDMA underlying technology
- market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
- the present invention is directed to the situation that the current clothing store can only formulate a stocking plan through personal experience, and it is necessary to provide a kind of Through big data analysis technology, analyze the historical sales data of clothing stores, and recommend the stocking information to users, so that users can more more targeted stocking, reduce the pressure on merchants to store goods, increase sales profits, and at the same time, through timely feedback after using technology, It also facilitates the timely and effective collection of relevant technologies by manufacturers. .
- a statistical method for stocking technical data based on sales including the following steps:
- the data of the style, color and size of the previous cycle is pushed to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
- the embodiment of the invention further provides a stocking system, the stocking system comprising:
- Recording unit uploading unit, analyzing unit, recommending unit, data sending unit, wherein:
- a recording unit located locally, for recording a daily merchandise sales list of the clothing store, and recording the purchase date of the clothing store;
- the uploading unit is located at a local location, and the input end thereof is connected to the output unit of the recording unit, and is configured to upload the daily sales list of the clothing store to the cloud;
- An analysis unit located in the cloud, is configured to count sales quantities of different styles, colors, and sizes of the products according to the daily merchandise sales list of the clothing store history;
- the recommendation unit is located in the cloud, and the input end thereof is connected to the output end of the analysis unit, and is used for pushing the data of the style, color and size of the previous period to the user when the clothing store purchase date is obtained;
- the data sending unit is located in the cloud, and the input end thereof is connected to the output unit of the recommendation unit, and is configured to send the technical use data to the data collection end preset by the manufacturer.
- the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
- FIG. 1 is a schematic flow chart of a statistical method for stocking technical data according to sales conditions according to an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of a stocking system according to an embodiment of the present invention.
- FIG. 1 is a schematic flow chart of a statistical method for stocking technical data according to sales conditions according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
- step S100 the clothing store daily merchandise sales list is recorded, and the clothing store purchase date is recorded.
- the technology is prior art, and currently clothing stores are usually equipped with a sales system, and the sales system records a daily sales list.
- step S101 the clothing store daily sales list is uploaded to the cloud.
- step S102 According to the clothing store historical daily merchandise sales list, the sales quantity of different styles, colors and sizes of the merchandise is counted.
- step S103 In the purchase date of the clothing store, the data of the style, color and size of the previous cycle is pushed to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
- the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
- the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
- FIG. 2 is a schematic structural diagram of a stocking system provided by an embodiment of the present invention, where the stocking system includes:
- the recording unit 21 is located locally and is used for recording a daily merchandise sales list of the clothing store, and recording the purchase date of the clothing store;
- the uploading unit 22 is located at the local location, and its input terminal and recording unit 21 The output end is connected to upload the daily sales list of the clothing store to the cloud;
- Analysis unit 23 located in the cloud, for counting the sales volume of different styles, colors, and sizes of the products according to the daily merchandise sales list of the clothing store history;
- the output end is connected to push the data of the style, color and size of the previous period to the user when the clothing store purchase date;
- the data sending unit 25 is located in the cloud, and its input terminal and recommendation unit 24 The output terminal is connected to send technical usage data to the data collection end preset by the manufacturer.
- the working principle is: the user records the daily merchandise sales list of the clothing store in the recording unit 21, records the purchase date of the clothing store, and uploads the unit 22 Uploading the clothing store daily sales list to the cloud, and the analyzing unit 23 counts the sales quantity of different styles, colors, and sizes of the products according to the clothing store historical daily product sales list, and the recommendation unit 24 At the clothing store purchase date, the data of the style, color, and size of the previous cycle is pushed to the user, and the data transmitting unit 25 transmits the technical use data to the data collection terminal preset by the manufacturer.
- the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
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Abstract
A statistical method for stocking technical data according to a sales situation, and a stocking system. The method comprises: recording a daily commodity sales list of a clothing store, and recording a purchase date regarding the clothing store (S100); uploading the daily sales list of the clothing store to a cloud (S101); according to a historical daily commodity sales list of the clothing store, counting the sales amounts of commodities of different designs, colours and sizes (S102); and on the purchase date regarding the clothing store, pushing data of designs, colours and sizes of the last period to a user, and sending technique usage data to a data acquisition end pre-set by a manufacturer (S103). According to the method, by means of a big data analysis technique, historical sales data of a clothing store is analyzed, and stocking information is recommended to a user, so that the user performs stocking in a more targeted manner, thereby reducing a storage pressure of a merchant and improving sales profits; and at the same time, by means of timely feedback after the use of the technique, it is also convenient for a manufacturer to effectively acquire a usage situation of the relevant technique in time.
Description
本发明属于互联网领域，尤其是涉及 一种根据销售情况备货技术数据的统计方法以及备货系统 。 The invention belongs to the field of internet, and in particular relates to a statistical method for stocking technical data according to sales situation and a stocking system.
现在企业申请的专利数量越来越多，而且将专利用在市场上、产品中的情形也越来越多。 Nowadays, the number of patents applied by enterprises is increasing, and the use of patents in the market and products is increasing.
根据国家知识产权的数据库显示，OPPO公司在2014年申请的发明专利数为938个，而同期的腾讯公司的发明专利数为1447个。这两家公司的发明中，有关于用户体验和用户直接操作相关的发明专利约占总数的80%左右。当然包括其他以用户体验为主的公司的类似专利申请也是具有很大的数量级，比如小米公司等。
According to the national intellectual property database, the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447. Among the inventions of the two companies, about 80% of the total number of invention patents related to user experience and direct user operations. Of course, similar patent applications, including other companies based on user experience, are also of a large order of magnitude, such as Xiaomi.
考虑到技术使用的同时，专利的申请过程和授权后的维护过程都会产生人力、财力上的成本：如答复审查意见、缴纳授权费等，对于核心技术（如：CDMA的底层技术）或市场认同度比较高的技术（如：滑动解锁）而言，那么相关成本就可以忽略不计，对于这些技术的投入是值得的，但这类技术毕竟是少数，更多的技术经过市场验证后，其实并不能触及用户的痛点或痒点，而对这些技术的专利投入，就容易造成成本的浪费。
Considering the use of technology, the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification. For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
所以需要有一种方法能够通过实在的数据，及时评估相关技术的市场接受度或价值，同时，为了使得本人的上一个申请《 服装店大数据分析备货的方法以及备货系统
》中的相关技术得到及时评估，特提出一种技术使用数据的采集/发送的方法。
Therefore, there is a need for a method to timely assess the market acceptance or value of related technologies through real data, and at the same time, in order to make my previous application, "clothing store big data analysis and stocking method and stocking system"
The related technology in the paper is evaluated in time, and a method for collecting/sending data using technology is proposed.
本发明实施针对当前服装店只能通过个人经验制定备货计划的情况，需要提供一种
通过大数据分析技术，分析服装店历史销售数据，向用户推荐备货信息，从而让用户更加有针对性的备货，减少商家的储货压力，提高销售利润，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况
。 The present invention is directed to the situation that the current clothing store can only formulate a stocking plan through personal experience, and it is necessary to provide a kind of
Through big data analysis technology, analyze the historical sales data of clothing stores, and recommend the stocking information to users, so that users can more more targeted stocking, reduce the pressure on merchants to store goods, increase sales profits, and at the same time, through timely feedback after using technology, It also facilitates the timely and effective collection of relevant technologies by manufacturers.
.
本发明是这样实现的： 一种根据销售情况备货技术数据的统计方法 ，包括以下步骤： The present invention is implemented as follows: A statistical method for stocking technical data based on sales, including the following steps:
记录服装店每日商品销售清单，记录服装店进货日期 ; Record the daily merchandise sales list of the clothing store and record the purchase date of the clothing store;
向云端上传所述服装店每日销售清单； Uploading the daily sales list of the clothing store to the cloud;
根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量 ; According to the historical daily merchandise sales list of the clothing store, the sales quantity of different styles, colors and sizes of the merchandise is counted;
在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据，并向厂家预设的数据采集端发送技术使用数据。
When the clothing store purchase date, the data of the style, color and size of the previous cycle is pushed to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
本发明实施例还提供了备货系统，所述备货系统包括： The embodiment of the invention further provides a stocking system, the stocking system comprising:
记录单元，上传单元，分析单元，推荐单元，数据发送单元，其中： Recording unit, uploading unit, analyzing unit, recommending unit, data sending unit, wherein:
记录单元，位于本地，用于记录服装店每日商品销售清单，记录服装店进货日期； a recording unit, located locally, for recording a daily merchandise sales list of the clothing store, and recording the purchase date of the clothing store;
上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述服装店每日销售清单； The uploading unit is located at a local location, and the input end thereof is connected to the output unit of the recording unit, and is configured to upload the daily sales list of the clothing store to the cloud;
分析单元，位于云端，用于根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量；
An analysis unit, located in the cloud, is configured to count sales quantities of different styles, colors, and sizes of the products according to the daily merchandise sales list of the clothing store history;
推荐单元，位于云端，其输入端与分析单元输出端连接，用于在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据；
The recommendation unit is located in the cloud, and the input end thereof is connected to the output end of the analysis unit, and is used for pushing the data of the style, color and size of the previous period to the user when the clothing store purchase date is obtained;
数据发送单元，位于云端，其输入端与推荐单元输出端连接，用于向厂家预设的数据采集端发送技术使用数据。
The data sending unit is located in the cloud, and the input end thereof is connected to the output unit of the recommendation unit, and is configured to send the technical use data to the data collection end preset by the manufacturer.
该发明通过大数据分析技术，分析服装店历史销售数据，向用户推荐备货信息，从而让用户更加有针对性的备货，减少商家的储货压力，提高销售利润，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
Through the big data analysis technology, the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
图 1 是本发明实施例提供的一种根据销售情况备货技术数据的统计方法 的流程示意图 ； 1 is a schematic flow chart of a statistical method for stocking technical data according to sales conditions according to an embodiment of the present invention;
图 2 是本发明实施例提供的备货系统的结构示意图。 FIG. 2 is a schematic structural diagram of a stocking system according to an embodiment of the present invention.
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
图 1 是本发明实施例提供的一种根据销售情况备货技术数据的统计方法 的流程示意图
，为了便于说明，只示出了与本发明实施例相关的部分。 1 is a schematic flow chart of a statistical method for stocking technical data according to sales conditions according to an embodiment of the present invention;
For the convenience of description, only parts related to the embodiment of the present invention are shown.
在步骤 S100 中 , 记录服装店每日商品销售清单，记录服装店进货日期。 In step S100, the clothing store daily merchandise sales list is recorded, and the clothing store purchase date is recorded.
该技术为现有技术，目前服装店通常都配有销售系统，销售系统记录了每日的销售清单。 The technology is prior art, and currently clothing stores are usually equipped with a sales system, and the sales system records a daily sales list.
在步骤 S101 中 , 向云端上传所述服装店每日销售清单。 In step S101, the clothing store daily sales list is uploaded to the cloud.
在步骤 S102
中，根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量。 At step S102
According to the clothing store historical daily merchandise sales list, the sales quantity of different styles, colors and sizes of the merchandise is counted.
在步骤 S103
中，在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据，并向厂家预设的数据采集端发送技术使用数据。 In step S103
In the purchase date of the clothing store, the data of the style, color and size of the previous cycle is pushed to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
所述技术使用数据为用户使用该技术的数据，即所述方法走完前几个步骤时产生的数据，所述数据包括用户使用该技术的次数（如在一定时间内是第几次使用该技术）；使用该技术的具体时间点；使用该技术前后用户的相关操作等有助于技术提供方更好的评价技术的市场价值，并根据所述反馈更好的改进技术的数据。
The technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
该发明通过大数据分析技术，分析服装店历史销售数据，向用户推荐备货信息，从而让用户更加有针对性的备货，减少商家的储货压力，提高销售利润，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
Through the big data analysis technology, the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
图 2 是本发明实施例提供的备货系统的结构示意图，所述备货系统包括： 2 is a schematic structural diagram of a stocking system provided by an embodiment of the present invention, where the stocking system includes:
记录单元 21 ，上传单元 22 ，分析单元 23 ，推荐单元 24 ，数据发送单元 25
，其中： Recording unit 21, uploading unit 22, analyzing unit 23, recommending unit 24, data transmitting unit 25
,among them:
记录单元 21 ，位于本地，用于记录服装店每日商品销售清单，记录服装店进货日期； The recording unit 21 is located locally and is used for recording a daily merchandise sales list of the clothing store, and recording the purchase date of the clothing store;
上传单元 22 ，位于本地，其输入端与记录单元 21
输出端连接，用于向云端上传所述服装店每日销售清单； The uploading unit 22 is located at the local location, and its input terminal and recording unit 21
The output end is connected to upload the daily sales list of the clothing store to the cloud;
分析单元 23
，位于云端，用于根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量； Analysis unit 23
, located in the cloud, for counting the sales volume of different styles, colors, and sizes of the products according to the daily merchandise sales list of the clothing store history;
推荐单元 24 ，位于云端，其输入端与分析单元 23
输出端连接，用于在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据； Recommendation unit 24, located in the cloud, with its input and analysis unit 23
The output end is connected to push the data of the style, color and size of the previous period to the user when the clothing store purchase date;
数据发送单元 25 ，位于云端，其输入端与推荐单元 24
输出端连接，用于向厂家预设的数据采集端发送技术使用数据。 The data sending unit 25 is located in the cloud, and its input terminal and recommendation unit 24
The output terminal is connected to send technical usage data to the data collection end preset by the manufacturer.
其工作原理是：用户在记录单元 21 记录服装店每日商品销售清单，记录服装店进货日期，上传单元 22
向云端上传所述服装店每日销售清单，分析单元 23 根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量，推荐单元 24
在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据，同时，数据发送单元 25 向厂家预设的数据采集端发送技术使用数据。 The working principle is: the user records the daily merchandise sales list of the clothing store in the recording unit 21, records the purchase date of the clothing store, and uploads the unit 22
Uploading the clothing store daily sales list to the cloud, and the analyzing unit 23 counts the sales quantity of different styles, colors, and sizes of the products according to the clothing store historical daily product sales list, and the recommendation unit 24
At the clothing store purchase date, the data of the style, color, and size of the previous cycle is pushed to the user, and the data transmitting unit 25 transmits the technical use data to the data collection terminal preset by the manufacturer.
该发明通过大数据分析技术，分析服装店历史销售数据，向用户推荐备货信息，从而让用户更加有针对性的备货，减少商家的储货压力，提高销售利润，同时，通过使用技术后的及时反馈，也方便厂家及时有效的采集相关技术的使用情况。
Through the big data analysis technology, the invention analyzes the historical sales data of the clothing store and recommends the stocking information to the user, so that the user can more more suitable stocking, reduce the storage pressure of the merchant, increase the sales profit, and at the same time, timely use of the technology. Feedback also facilitates the timely and effective collection of relevant technologies by manufacturers.
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。
The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalents, and improvements made within the spirit and scope of the present invention should be included in the scope of the present invention. Inside.
Claims (2)
- 一种根据销售情况备货技术数据的统计方法，其特征在于，所述方法包括如下步骤： A statistical method for stocking technical data according to sales conditions, characterized in that the method comprises the following steps:记录服装店每日商品销售清单，记录服装店进货日期 ;Record the daily merchandise sales list of the clothing store and record the purchase date of the clothing store;向云端上传所述服装店每日销售清单；Uploading the daily sales list of the clothing store to the cloud;根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量 ;According to the historical daily merchandise sales list of the clothing store, the sales quantity of different styles, colors and sizes of the merchandise is counted;在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据，并向厂家预设的数据采集端发送技术使用数据。When the clothing store purchase date, the data of the style, color and size of the previous cycle is pushed to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
- 一种备货系统，其特征在于，所述备货系统包括：A stocking system, characterized in that the stocking system comprises:记录单元，上传单元，分析单元，推荐单元，数据发送单元，其中：Recording unit, uploading unit, analyzing unit, recommending unit, data sending unit, wherein:记录单元，位于本地，用于记录服装店每日商品销售清单，记录服装店进货日期；a recording unit, located locally, for recording a daily merchandise sales list of the clothing store, and recording the purchase date of the clothing store;上传单元，位于本地，其输入端与记录单元输出端连接，用于向云端上传所述服装店每日销售清单；The uploading unit is located at a local location, and the input end thereof is connected to the output unit of the recording unit, and is configured to upload the daily sales list of the clothing store to the cloud;分析单元，位于云端，用于根据所述服装店历史每日商品销售清单，统计商品不同款式、颜色、尺码的销售数量；An analysis unit, located in the cloud, is configured to count sales quantities of different styles, colors, and sizes of the products according to the daily merchandise sales list of the clothing store history;推荐单元，位于云端，其输入端与分析单元输出端连接，用于在所述服装店进货日期时，向用户推送上一周期款式、颜色、尺码的数据；The recommendation unit is located in the cloud, and the input end thereof is connected to the output end of the analysis unit, and is used for pushing the data of the style, color and size of the previous period to the user when the clothing store purchase date is obtained;数据发送单元，位于云端，其输入端与推荐单元输出端连接，用于向厂家预设的数据采集端发送技术使用数据。The data sending unit is located in the cloud, and the input end thereof is connected to the output unit of the recommendation unit, and is configured to send the technical use data to the data collection end preset by the manufacturer.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111768139A (en) * | 2019-06-27 | 2020-10-13 | 北京沃东天骏信息技术有限公司 | Stock processing method, apparatus, device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1423215A (en) * | 2001-11-27 | 2003-06-11 | 株式会社世界 | Market forecasting device and method thereof |
| CN1485773A (en) * | 2002-09-25 | 2004-03-31 | 大智通文化行销股份有限公司 | Dispensing method for publication articles |
| CN1647090A (en) * | 2002-04-18 | 2005-07-27 | 株式会社世界 | In-shop stock management system, in-shop stock management method, and recording medium containing program |
| CN1741053A (en) * | 2005-09-22 | 2006-03-01 | 上海交通大学 | Logistic warehousing and storaging decision supporting system |
| CN102096862A (en) * | 2010-12-30 | 2011-06-15 | 陈艳艳 | Network-based clothing management method and system |
| CN202267994U (en) * | 2011-07-11 | 2012-06-06 | 东莞市科达计算机系统工程有限公司 | Garment distribution terminal system based on RFID technology |
| CN104616126A (en) * | 2013-11-04 | 2015-05-13 | 西安艾力特电子实业有限公司 | Novel commodity inventory data system based on big data analysis |
-
2016
- 2016-01-24 WO PCT/CN2016/071925 patent/WO2017124566A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1423215A (en) * | 2001-11-27 | 2003-06-11 | 株式会社世界 | Market forecasting device and method thereof |
| CN1647090A (en) * | 2002-04-18 | 2005-07-27 | 株式会社世界 | In-shop stock management system, in-shop stock management method, and recording medium containing program |
| CN1485773A (en) * | 2002-09-25 | 2004-03-31 | 大智通文化行销股份有限公司 | Dispensing method for publication articles |
| CN1741053A (en) * | 2005-09-22 | 2006-03-01 | 上海交通大学 | Logistic warehousing and storaging decision supporting system |
| CN102096862A (en) * | 2010-12-30 | 2011-06-15 | 陈艳艳 | Network-based clothing management method and system |
| CN202267994U (en) * | 2011-07-11 | 2012-06-06 | 东莞市科达计算机系统工程有限公司 | Garment distribution terminal system based on RFID technology |
| CN104616126A (en) * | 2013-11-04 | 2015-05-13 | 西安艾力特电子实业有限公司 | Novel commodity inventory data system based on big data analysis |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111768139A (en) * | 2019-06-27 | 2020-10-13 | 北京沃东天骏信息技术有限公司 | Stock processing method, apparatus, device and storage medium |
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