WO2013117103A1 - 商品发布方法、服务器和系统 - Google Patents

商品发布方法、服务器和系统 Download PDF

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Publication number
WO2013117103A1
WO2013117103A1 PCT/CN2012/086626 CN2012086626W WO2013117103A1 WO 2013117103 A1 WO2013117103 A1 WO 2013117103A1 CN 2012086626 W CN2012086626 W CN 2012086626W WO 2013117103 A1 WO2013117103 A1 WO 2013117103A1
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WIPO (PCT)
Prior art keywords
price
commodity
average
product
server
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Ceased
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PCT/CN2012/086626
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English (en)
French (fr)
Inventor
李李
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Publication date
Application filed by Tencent Technology Shenzhen Co Ltd filed Critical Tencent Technology Shenzhen Co Ltd
Priority to RU2014127986A priority Critical patent/RU2014127986A/ru
Priority to KR1020147021595A priority patent/KR20140119720A/ko
Priority to JP2014517442A priority patent/JP2014521136A/ja
Priority to AP2014007470A priority patent/AP2014007470A0/xx
Publication of WO2013117103A1 publication Critical patent/WO2013117103A1/zh
Priority to US14/138,174 priority patent/US20140108118A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0225—Avoiding frauds
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the present invention relates to electronic commerce technology, and in particular to a commodity distribution method, server and system.
  • a method for publishing a commodity comprising the following steps:
  • the client submits the product information and sends the product information to the server;
  • the server queries, in the database, the commodity order information corresponding to the product identifier in the preset time period according to the commodity information;
  • the server processes the commodity order information to obtain an average selling price and a price reduction range of the commodity
  • the server stores the commodity information, the sales average price and the price reduction range corresponding to the commodity identifier
  • the client acquires the product information, the sales average price, and the price reduction range and displays the product.
  • a receiving module configured to receive product information submitted by the client
  • a query module configured to query, in the database, the commodity order information corresponding to the product identifier in the preset time period according to the commodity information
  • a processing module configured to process the commodity order information, and obtain an average selling price and a price reduction range of the commodity
  • a storage module configured to store the commodity information, the sales average price and a price reduction range corresponding to the commodity identifier
  • the feedback module is configured to feed back the product information, the sales average price and the price reduction range corresponding to the product identifier to the client.
  • a client configured to submit product information, and send the product information to the server;
  • the client is further configured to acquire the commodity information, the sales average price and the price reduction range corresponding to the commodity identifier from the server, and display the same.
  • the client submits the product information, and sends the product information to the server, and then the server queries the database for the product order information corresponding to the product identifier in the preset time period according to the product information, and the The commodity order information is processed to obtain the average selling price and the price reduction range of the commodity.
  • the commodity order information objectively reflects the sales of the goods, so the objective sales average price can be obtained according to the commodity order information.
  • the system automatically obtains the average selling price and the price reduction range according to the commodity order information. Therefore, through the above method and system, the seller can effectively avoid fraud and provide a true and accurate price reduction range.
  • FIG. 1 is a schematic flow chart of a method for distributing a product provided by the present invention
  • FIG. 2 is a flow chart showing the process of processing the commodity order information by the server in an embodiment to obtain the average selling price and the price reduction range of the commodity;
  • FIG. 3 is a schematic diagram of an application scenario of a merchandise publishing method in an embodiment
  • FIG. 4 is a schematic flow chart of a server processing a data request in an embodiment
  • FIG. 5 is a schematic flow chart of a server processing a search request in another embodiment
  • FIG. 6 is a schematic structural diagram of a commodity distribution system provided by the present invention.
  • FIG. 7 is a schematic structural diagram of a processing module in an embodiment
  • FIG. 8 is a schematic structural diagram of a commodity distribution system in an embodiment
  • Figure 9 is a block diagram showing the structure of a merchandise distribution system in another embodiment.
  • the merchandise publishing method provided by the present invention includes the following steps:
  • step S110 the client submits the product information and sends the product information to the server.
  • the item information includes the current price of the item and the item identification.
  • the item information may also include description information of the item, the number of sales, and the like.
  • the current price is the price that the seller fills in when signing up for the item.
  • the seller can select the product identifier of the product when submitting the published product, or the server automatically selects the product identifier according to the product information.
  • the same product uses the same product identifier.
  • Step S120 The server queries, in the database, the product order information corresponding to the product identifier in the preset time period according to the product information.
  • the server When the server processes a merchandise order, it stores the merchandise order information in the database. After obtaining the product information, the server may obtain the commodity order information of the corresponding commodity from the database according to the product identifier.
  • the time range selection is too large, it may result in the data obtained not being real-time, and if the time range selection is too small, the obtained data will not be representative.
  • the length of the time period can be set according to business requirements, for example, product order information within one week or one month can be selected.
  • step S130 the server processes the commodity order information to obtain the average selling price and the price reduction range of the commodity.
  • step S130 specifically includes the following steps:
  • Step S131 the server reads the sales price of the commodity in the commodity order information, and calculates the average selling price of the commodity in the preset time period according to the sales price of the commodity.
  • the average selling price is an average value of the sold product prices.
  • step S133 the server obtains the current price of the commodity, compares the current price of the commodity with the average selling price, and obtains the price reduction range of the commodity.
  • the price reduction is the current price and sales of the goods. The difference between the average prices. For example, if the server reads the commodity order information in the last 10 days, the average sales price calculated according to the commodity order information is 80 yuan, and the current price of the commodity is 60 yuan, then the price reduction of the commodity is calculated to be 20 yuan.
  • the method before step S131, the method further includes:
  • step S133 the server obtains the current price of the commodity, compares the current price of the commodity with the average selling price, and obtains the price reduction range of the commodity; otherwise, executing step S131, the server reads the commodity order.
  • the sales price of the commodity in the information is calculated based on the sales price of the commodity, and the average selling price of the commodity within the preset time period.
  • the same item may have participated in a sale event in the most recent period of time, so the average selling price of the item is stored on the server's database.
  • the sales average price can be directly obtained and the step of calculating the price reduction range can be directly performed without re-acquiring the commodity order information and calculating the selling average price. This can reduce the running load of the server and improve the operating efficiency.
  • step S140 the server stores the commodity information, the sales average price and the price reduction range corresponding to the product identifier.
  • the server stores the commodity information submitted by the client, and when the data request of the client is received, the stored commodity information may be invoked.
  • the server also stores the average selling price and the price reduction range of the commodity corresponding to the product identifier, and when the server returns the product information published by the seller according to the data request of the client, the server may return the average selling price and the price reduction range to the customer. end.
  • step S150 the client obtains the product information, the average selling price, and the price reduction range, and displays the product.
  • the client may obtain the product information, the sales average price and the price reduction range corresponding to the product identifier from the server, and display according to a preset format. Further, the sales average price and the price reduction range corresponding to the product identification may be displayed on the seller page or other application page (for example, a search page). In this way, the buyer can directly view the average selling price and the price reduction range of the commodity, and the average selling price and the price reduction range are true and accurate.
  • the above-described product distribution method will be described in conjunction with an application scenario.
  • the seller submits the product, and submits the product information;
  • the server obtains the product ID in the product information, retrieves the order record of the product from the order information storage unit in the database, and queries the order record for the product in the previous record.
  • the order price of the segment time then, according to the order price, the server automatically calculates the average selling price and the price reduction range of the commodity according to the above step S130, and stores the sales average price and the price reduction range in the sales average price and the price reduction amplitude storage unit in the database. .
  • the data in the sales average price and the price reduction range storage unit are called according to different data requests for display. For example, when a user views a seller page, the sales price and the price reduction range of the item are displayed in the seller page. For another example, when searching for an item, the selling price and the price reduction range of the item can also be displayed on the search page.
  • the merchandise publishing method further includes the following steps:
  • Step S160 the server receives the data request of the client, extracts the average selling price and the price reduction range of the corresponding commodity according to the product identifier in the data request, and returns the sales average price and the price reduction range to the client.
  • the user when the user browses to the seller page on the client and browses the products posted by the seller on the page, the user needs to obtain the average selling price and the price reduction range of the product.
  • the client sends a data request for obtaining the average selling price and the price reduction range of the product to the server, wherein the data request includes the product identifier of the product, and the server can extract the sales average price corresponding to the product identifier from the database according to the product identifier. And the price cuts.
  • step S170 the client receives the sales average price and the price reduction range of the commodity and displays it.
  • the client After receiving the sales average price and the price reduction range of the commodity, the client displays the corresponding location according to the user's demand.
  • the merchandise publishing method may further include the following steps:
  • Step S260 the server receives the search request of the client, and searches for the product search result that matches the keyword according to the keyword in the search request.
  • the user is interested in a certain type of product, sends a search request to the server through the client, and submits a keyword of the item of interest, and the server searches the item information of the database according to the search request and the keyword, and obtains the item matching the keyword. search results.
  • Step S270 Extract corresponding sales average price and price reduction range according to the product identifier of the product search result, and return the sales average price and the price reduction range to the client.
  • the server first obtains the product identifier from the product information of the product search result. Since the sales average price and the price reduction range correspond to the product identifier storage, the sales average price and the price reduction range of each product search result can be obtained according to the product identifier, and then the sales are both The price and price reduction are fed back to the client.
  • step S280 the client displays the product search result, and correspondingly displays the sales average price and the price reduction range of the product.
  • the client After obtaining the product search result, the average selling price and the price reduction range, the client displays the product search result and displays the sales average price and the price reduction range corresponding to the product search result.
  • the customer can also sort the product search results according to the price reduction, so that the user can view it.
  • a merchandise distribution system includes a server 100 and a plurality of clients 200.
  • the server 100 includes a query module 110, a processing module 120, a storage module 130, a receiving module 170, and a feedback module 180. among them:
  • the client 200 is for submitting product information and transmitting the product information to the server 100.
  • the item information includes the current price of the item and the item identification.
  • the item information may also include description information of the item, the number of sales, and the like.
  • the current price is the price that the seller fills in when signing up for the item.
  • the product identifier of the product may be selected, or the server automatically selects the product identifier according to the product information.
  • the same product uses the same product identifier.
  • the receiving module 170 is configured to receive the commodity information submitted by the client 200.
  • the query module 110 is configured to query, in the database, the commodity order information corresponding to the product identifier in the preset time period according to the commodity information.
  • the merchandise order information of the merchandise sales is stored in the database of the system. After the merchandise information is obtained, the inquiring module 110 can obtain the merchandise order information of the corresponding merchandise from the database according to the merchandise identifier.
  • the query module 110 When the commodity order information of the commodity is obtained, the query module 110 only acquires the commodity order information within a certain period of time. If the time range selection is too large, it may result in the data obtained not being real-time, and if the time range selection is too small, the obtained data will not be representative.
  • the length of the time period can be set according to business requirements, for example, product order information within one week or one month can be selected.
  • the processing module 120 is configured to process the commodity order information, and obtain the average selling price and the price reduction range of the commodity.
  • the processing module 120 includes an average price acquisition module 121 and a price reduction range acquisition module 123 . among them:
  • the average price obtaining module 121 is configured to read the commodity selling price in the commodity order information, and calculate the selling average price of the commodity in the preset time period according to the commodity selling price. Specifically, the average selling price is an average value of the sold product prices.
  • the price reduction range obtaining module 123 is configured to obtain a current price of the commodity, compare the current price of the commodity with the average selling price, and obtain a price reduction range of the commodity.
  • the price reduction is the current price and sales of the goods.
  • the difference between the average prices For example, if the server reads the commodity order information in the last 10 days, the average sales price calculated according to the commodity order information is 80 yuan, and the current price of the commodity is 60 yuan, then the price reduction of the commodity is calculated to be 20 yuan.
  • the processing module 120 further includes a determining module (not shown), and the determining module is configured to determine whether there is a sales average price in the database, and if yes, notify the price reduction range obtaining module 123 to obtain the current price of the product, and the current price of the product. Comparing with the average selling price, obtaining the price reduction range of the commodity, otherwise the notification average price obtaining module 121 reads the commodity selling price in the commodity order information, and calculates the average selling price of the commodity in the preset time period according to the commodity selling price.
  • a determining module is configured to determine whether there is a sales average price in the database, and if yes, notify the price reduction range obtaining module 123 to obtain the current price of the product, and the current price of the product. Comparing with the average selling price, obtaining the price reduction range of the commodity, otherwise the notification average price obtaining module 121 reads the commodity selling price in the commodity order information, and calculates the average selling price of the commodity in the preset time period according to the commodity selling price.
  • the same item may have participated in a sale event in the most recent period of time, so the average selling price of the item is stored on the server's database.
  • the price reduction range obtaining module 123 can directly obtain the current price and the sales average price and calculate the price reduction range, without the average price obtaining module 121 re-acquiring the commodity order information and calculating the sales average price. This can reduce the running load of the server and improve the operating efficiency.
  • the storage module 130 is configured to store commodity information, a sales average price and a price reduction range corresponding to the product identifier.
  • the storage module 130 stores the commodity information submitted by the client, and when the data request of the client is received, the stored commodity information may be invoked.
  • the storage module 130 stores the average selling price and the price reduction range of the commodity corresponding to the product identifier, and when the storage module 130 returns the product information published by the seller according to the data request of the client, the average selling price and the price reduction range may be used. Return to client 200.
  • the feedback module 180 is configured to feed back the product information, the sales average price and the price reduction range corresponding to the product identifier to the client. Further, the client 200 is further configured to acquire the product information, the sales average price and the price reduction range corresponding to the product identifier from the server 100, and display the same.
  • the server 100 of the merchandise distribution system further includes a data request processing module 140, and the client 200 further includes a display module 210. among them:
  • the data request processing module 140 is configured to receive the data request of the client 200, extract the sales average price and the price reduction range of the corresponding commodity according to the product identifier in the data request, and call the feedback module 180 to return the corresponding sales average price and the price reduction range to Client 200.
  • the user browses to the seller page on the client 200, and browses the merchandise published by the seller on the page, and needs to obtain the average selling price and the price reduction range of the merchandise.
  • the client 200 sends a data request for obtaining the average selling price and the price reduction range of the product to the data request processing module 140.
  • the data request includes the product identifier of the product, and the data request processing module 140 can extract the product identifier according to the product identifier.
  • the average selling price and price reduction range stored corresponding to the product identification.
  • the display module 210 is configured to receive and display the sales average price and the price reduction range of the corresponding commodity.
  • the display module 210 displays the display at the corresponding location according to the user's demand.
  • the server 100 further includes a search module 150 and an extraction module 160.
  • the client 200 includes a display module 210. among them:
  • the search module 150 is configured to receive a search request of the client 200, and search for a product search result that matches the keyword according to the keyword in the search request.
  • the user is interested in a certain type of product, sends a search request to the server through the client, and submits a keyword of the item of interest, and the server searches the item information of the database according to the search request and the keyword, and obtains the item matching the keyword. search results.
  • the extraction module 160 is configured to extract a corresponding sales average price and a price reduction range according to the product identifier of the product search result, and call the feedback module 180 to return the corresponding sales average price and the price reduction range to the client.
  • the extraction module 160 first obtains the product identification from the product information of the product search result. Since the sales average price and the price reduction range correspond to the product identification storage, the extraction module 160 can obtain the sales average price and the price reduction range of each product search result according to the product identifier, and then feed back the sales average price and the price reduction range to the client.
  • the display module 210 is configured to display the product search result, and correspondingly display the sales average price and the price reduction range of the commodity.
  • the display module 210 displays the product search result and displays the sales average price and the price reduction range corresponding to the product search result.
  • the client 200 can also sort the product search results according to the price reduction range for the user to view.
  • the client first submits the product information and transmits the product information to the server.
  • the server queries the database for the commodity order information corresponding to the product identifier in the preset time period according to the commodity information, and processes the commodity order information to obtain the average selling price and the price reduction range of the commodity.
  • the commodity order information objectively reflects the sales of the goods, so the objective sales average price can be obtained according to the commodity order information.
  • the system automatically obtains the average selling price and the price reduction range according to the commodity order information. Therefore, through the above method and system, the seller can effectively avoid fraud and provide a true and accurate price reduction range.

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Description

商品发布方法、服务器和系统
【技术领域】
本发明涉及电子商务技术，特别是涉及一种商品发布方法、服务器和系统。
【背景技术】
在电子商务中，通常会进行特价抢购或秒杀等活动，在活动前需要卖家报名商品，且一般需要预先获得报名商品的销售均价及降价幅度。这一方面是为了根据降价幅度对报名的商品进行排序；另一方面将报名商品的售均价及降价幅度显示在卖场页面上，利用具有优势的降价幅度来吸引消费者。传统的做法是卖家在报名商品时，同时填写商品的销售均价和降价幅度。
但是，卖家为了获得更好的排序或是吸引消费者，在填写过程中有可能弄虚作假，夸大降价幅度。从而影响数据的客观性和真实性。
【发明内容】
鉴于上述状况，有必要提供一种能更真实准确地获得商品降价幅度的商品发布方法。
一种商品发布方法，包括以下步骤：
客户端提交商品信息，并将所述商品信息发送到服务器；
所述服务器根据所述商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息；
所述服务器对所述商品订单信息进行处理，获取商品的销售均价和降价幅度；
所述服务器存储所述商品信息、与所述商品标识对应的所述销售均价和降价幅度；
所述客户端获取所述商品信息、销售均价和降价幅度并进行展示。
还提供一种能更真实准确地获得商品降价幅度的商品发布服务器，包括：
接收模块，用于接收客户端提交的商品信息；
查询模块，用于根据所述商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息；
处理模块，用于对所述商品订单信息进行处理，获取商品的销售均价和降价幅度；及
存储模块，用于存储所述商品信息、与所述商品标识对应的所述销售均价和降价幅度；
反馈模块，用于将所述商品信息、与所述商品标识对应的所述销售均价和降价幅度反馈给客户端。
此外，还提供一种能更真实准确地获得商品降价幅度的商品发布系统，包括：
如上述优选实施例中任一项所述的服务器；
客户端，用于提交商品信息，并将所述商品信息发送到所述服务器；
所述客户端还用于从所述服务器获取所述商品信息、与所述商品标识对应的所述销售均价和降价幅度并进行展示。
上述发布商品方法和系统，首先客户端提交商品信息，并将商品信息发送到服务器，然后服务器根据商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息，并对所述商品订单信息进行处理，获取商品的销售均价和降价幅度。商品订单信息客观的反应商品的销售情况，因此根据商品订单信息可得到客观的销售均价。卖家在发布商品的时候不需要填写销售均价及降价幅度，而是系统根据商品订单信息自动获得销售均价和降价幅度。因此，通过上述方法和系统，能有效的避免卖家弄虚作假，并提供真实准确的降价幅度。
【附图说明】
图1为本发明提供的商品发布方法的流程示意图；
图2为一个实施例中服务器对商品订单信息进行处理，获取商品的销售均价和降价幅度的流程示意图；
图3是一个实施例中商品发布方法的应用场景的示意图；
图4为一个实施例中服务器处理数据请求的流程示意图；
图5为另一个实施例中服务器处理搜索请求的流程示意图；
图6为本发明提供的商品发布系统的结构示意图；
图7为一个实施例中处理模块的结构示意图；
图8为一个实施例中商品发布系统的结构示意图；
图9为另一个实施例中商品发布系统的结构示意图。
【具体实施方式】
如图1所示，本发明提供的商品发布方法包括以下步骤：
步骤S110，客户端提交商品信息，并将商品信息发送到服务器。
在一个实施例中，商品信息包括商品的当前价格和商品标识。此外，商品信息还可包括商品的描述信息、销售数量等。当前价格是由卖家在报名商品时填写的价格。卖家在提交发布的商品时可选择商品的商品标识，或是服务器根据商品信息自动选择商品标识。在同一个电子商务平台上，相同的商品采用同一个商品标识。
步骤S120，服务器根据商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息。
服务器在处理商品订单时，会将商品订单信息存储在数据库中。当获得商品信息后，服务器可根据商品标识从数据库里获得对应商品的商品订单信息。
在获取商品的商品订单信息时，需获取预设时间段内的商品订单信息。若时间范围选择太大，则有可能导致获得的数据不具有实时性，而若时间范围选择太小，又会使获得的数据不具有代表性。优选的，可根据业务需求设置该时间段的长度，例如可选取一周或一个月内的商品订单信息。
步骤S130，服务器对商品订单信息进行处理，获取商品的销售均价和降价幅度。
如图2所示，在一个实施例中，上述步骤S130具体包括以下步骤：
步骤S131，服务器读取商品订单信息中的商品销售价格，根据商品销售价格计算得到商品在预设时间段内的销售均价。具体的，销售均价为读取的商品销售价格的平均值。
步骤S133，服务器获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度。具体的，降价幅度为商品当前价格与销售 均价之间的差额。例如，服务器读取到最近10天内的商品订单信息，根据该商品订单信息计算得到的销售均价为80元，而商品当前价格为60元，则计算到商品的降价幅度为20元。
在一个实施例中，在步骤S131之前，还包括：
判断数据库中是否存在销售均价，若是，则执行步骤S133，服务器获取商品当前价格，将商品当前价格与销售均价进行对比，获取商品的降价幅度，否则，执行步骤S131，服务器读取商品订单信息中的商品销售价格，根据商品销售价格计算得到商品在预设时间段内的销售均价。
同一商品可能在最近一段时间内参加过特卖活动，因此在服务器的数据库上存有该商品的销售均价。当存在销售均价时，则可以直接获取销售均价并进行计算降价幅度的步骤，而不用重新获取商品订单信息并计算销售均价。这样做可减小服务器的运行负担，提高了运行效率。
步骤S140，服务器存储商品信息、与商品标识对应的销售均价和降价幅度。
具体的，服务器存储客户端提交的商品信息，在接收到客户端的数据请求时，可调用存储的这些商品信息。本实施例中，服务器还将商品的销售均价、降价幅度与商品标识对应存储，服务器根据客户端的数据请求返回卖家发布的商品信息时，则可一并将销售均价和降价幅度返回给客户端。
步骤S150，客户端获取商品信息、销售均价和降价幅度并进行展示。
具体的，客户端可从服务器获取到商品信息、与商品标识对应的销售均价和降价幅度，并按照预先设定的格式进行展示。进一步的，可在卖家页面或其他应用页面（例如搜索页面）显示与商品标识对应的销售均价和降价幅度。这样，买家可以直接查看到商品的销售均价和降价幅度，并且该销售均价和降价幅度真实准确。
如图3所示，在一个实施例中，结合应用场景对上述商品发布方法进行说明。本实施例中，卖家报名商品，提交商品信息；服务器获取商品信息中的商品ID，从数据库中的订单信息存储单元中取回该商品的订单记录，并从订单记录中查询该商品在先前某段时间的订单价格；然后服务器根据该订单价格，按照上述步骤S130自动计算商品的销售均价和降价幅度，并将销售均价和降价幅度存储在数据库中的销售均价和降价幅度存储单元中。
进一步的，在不同的应用场景中，根据不同的数据请求调用销售均价和降价幅度存储单元中的数据进行显示。例如，当用户查看卖家页面时，在卖家页面中显示商品的销售价格和降价幅度。又例如，在搜索商品时，在搜索页面中也可显示商品的销售价格和降价幅度。
如图4所示，在一个实施例中，商品发布方法还包括以下步骤：
步骤S160，服务器接收客户端的数据请求，根据数据请求中的商品标识提取对应的商品的销售均价和降价幅度，将销售均价和降价幅度返回至客户端。
例如，用户在客户端浏览到卖家页面，在该页面上浏览卖家发布的商品时，需要获得该商品的销售均价和降价幅度。则客户端向服务器发送获取该商品销售均价和降价幅度的数据请求，数据请求中包含了该商品的商品标识，服务器根据商品标识便可从数据库中提取出与商品标识对应存储的销售均价和降价幅度。
步骤S170，客户端接收商品的销售均价和降价幅度并显示。
具体地，客户端在接收到商品的销售均价和降价幅度后，根据用户的需求在对应的位置进行显示。
如图5所示，在另一个实施例中，商品发布方法还可包括以下步骤：
步骤S260，服务器接收客户端的搜索请求，根据搜索请求中的关键字搜索与关键字匹配的商品搜索结果。
例如，用户对某类型商品感兴趣，通过客户端向服务器发送搜索请求，并提交感兴趣商品的关键字，服务器根据搜索请求和关键字在数据库的商品信息中查找，获得与关键字匹配的商品搜索结果。
步骤S270，根据商品搜索结果的商品标识提取对应的销售均价和降价幅度，将销售均价和降价幅度返回至客户端。
服务器首先从商品搜索结果的商品信息中可获取商品标识，由于销售均价和降价幅度对应商品标识存储，因此根据商品标识可获取每个商品搜索结果的销售均价和降价幅度，然后把销售均价和降价幅度反馈给客户端。
步骤S280，客户端显示商品搜索结果，并对应显示商品的销售均价和降价幅度。
客户端获得商品搜索结果及销售均价和降价幅度后，显示商品搜索结果并显示与商品搜索结果对应的销售均价和降价幅度。此外，在客户端还可根据降价幅度对商品搜索结果进行排序，以便于用户进行查看。
如图6所示，还提供一种商品发布系统，该系统包括服务器100及多个客户端200。服务器100包括查询模块110、处理模块120、存储模块130、接收模块170及反馈模块180。其中：
客户端200用于提交商品信息，并将商品信息发送到服务器100。
在一个实施例中，商品信息包括商品的当前价格和商品标识。此外，商品信息还可包括商品的描述信息、销售数量等。当前价格是由卖家在报名商品时填写的价格。卖家在客户端200上提交发布的商品时可选择商品的商品标识，或是服务器根据商品信息自动选择商品标识。在同一个电子商务平台上，相同的商品采用同一个商品标识。
接收模块170用于接收客户端200提交的商品信息。
查询模块110用于根据商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息。
商品销售的商品订单信息都会保存在系统的数据库里，当获得商品信息后，查询模块110可根据商品标识从数据库里获得对应商品的商品订单信息。
在获取商品的商品订单信息时，查询模块110只获取一定的时间段内的商品订单信息。若时间范围选择太大，则有可能导致获得的数据不具有实时性，而若时间范围选择太小，又会使获得的数据不具有代表性。优选的，可根据业务需求设置该时间段的长度，例如可选取一周或一个月内的商品订单信息。
处理模块120用于对商品订单信息进行处理，获取商品的销售均价和降价幅度。
如图7所示，在一个实施例中，处理模块120包括均价获取模块121及降价幅度获取模块123。其中：
均价获取模块121用于读取商品订单信息中的商品销售价格，根据商品销售价格计算得到商品在预设时间段内的销售均价。具体的，销售均价为读取的商品销售价格的平均值。
降价幅度获取模块123用于获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度。
具体的，降价幅度为商品当前价格与销售 均价之间的差额。例如，服务器读取到最近10天内的商品订单信息，根据该商品订单信息计算得到的销售均价为80元，而商品当前价格为60元，则计算到商品的降价幅度为20元。
在一个实施例中，处理模块120还包括判断模块（图未示），判断模块用于判断数据库中是否存在销售均价，若是，则通知降价幅度获取模块123获取商品当前价格，将商品当前价格与销售均价进行对比，获取商品的降价幅度，否则通知均价获取模块121读取商品订单信息中的商品销售价格，根据商品销售价格计算得到商品在预设时间段内的销售均价。
同一商品可能在最近一段时间内参加过特卖活动，因此在服务器的数据库上存有该商品的销售均价。当存在销售均价时，降价幅度获取模块123可以直接获取当前价格和销售均价并计算降价幅度，而不用均价获取模块121重新获取商品订单信息并计算销售均价。这样做可减小服务器的运行负担，提高了运行效率。
存储模块130用于存储商品信息、与商品标识对应的销售均价和降价幅度。
具体的，存储模块130存储客户端提交的商品信息，在接收到客户端的数据请求时，可调用存储的这些商品信息。本实施例中，存储模块130将商品的销售均价、降价幅度与商品标识对应存储，存储模块130根据客户端的数据请求返回卖家发布的商品信息时，则可一并将销售均价和降价幅度返回给客户端200。
反馈模块180用于将商品信息、与商品标识对应的销售均价和降价幅度反馈给客户端。进一步的，客户端200还可用于从服务器100获取商品信息、与商品标识对应的销售均价和降价幅度并进行展示。
如图8所示，在一个实施例中，商品发布系统的服务器100还包括数据请求处理模块140，客户端200还包括显示模块210。其中：
数据请求处理模块140用于接收客户端200的数据请求，根据数据请求中的商品标识提取对应的商品的销售均价和降价幅度，并调用反馈模块180将对应的销售均价和降价幅度返回至客户端200。
例如，用户在客户端200浏览到卖家页面，在该页面上浏览卖家发布的商品，需要获得该商品的销售均价和降价幅度。则客户端200向数据请求处理模块140发送获取该商品销售均价和降价幅度的数据请求，数据请求中包含了该商品的商品标识，数据请求处理模块140根据商品标识便可从数据库中提取出与商品标识对应存储的销售均价和降价幅度。
显示模块210用于接收对应的商品的销售均价和降价幅度并显示。
具体地，客户端200在接收到商品的销售均价和降价幅度后，显示模块210根据用户的需求在对应的位置进行显示。
如图9所示，在另一个实施例中，服务器100还包括搜索模块150及提取模块160。客户端200包括显示模块210。其中：
搜索模块150用于接收客户端200的搜索请求，根据搜索请求中的关键字搜索与关键字匹配的商品搜索结果。
例如，用户对某类型商品感兴趣，通过客户端向服务器发送搜索请求，并提交感兴趣商品的关键字，服务器根据搜索请求和关键字在数据库的商品信息中查找，获得与关键字匹配的商品搜索结果。
提取模块160用于根据商品搜索结果的商品标识提取对应的销售均价和降价幅度，并调用反馈模块180将对应的销售均价和降价幅度返回至客户端。
提取模块160首先从商品搜索结果的商品信息中可获取商品标识。由于销售均价和降价幅度对应商品标识存储，因此根据商品标识，提取模块160可获取每个商品搜索结果的销售均价和降价幅度，然后把销售均价和降价幅度反馈给客户端。
显示模块210用于显示商品搜索结果，并对应显示商品的销售均价和降价幅度。
客户端200获得商品搜索结果及销售均价和降价幅度后，显示模块210显示商品搜索结果并显示与商品搜索结果对应的销售均价和降价幅度。此外，在客户端200还可根据降价幅度对商品搜索结果进行排序，以便用户进行查看。
上述发布商品方法和系统，首先客户端提交商品信息，并将商品信息发送到服务器。然后服务器根据商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息，并对所述商品订单信息进行处理，获取商品的销售均价和降价幅度。商品订单信息客观的反应商品的销售情况，因此根据商品订单信息可得到客观的销售均价。卖家在发布商品的时候不需要填写销售均价及降价幅度，而是系统根据商品订单信息自动获得销售均价和降价幅度。因此，通过上述方法和系统，能有效的避免卖家弄虚作假，并提供真实准确的降价幅度。
以上所述实施例仅表达了本发明的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干变形和改进，这些都属于本发明的保护范围。因此，本发明专利的保护范围应以所附权利要求为准。

Claims (11)

  1. 一种商品发布方法，包括以下步骤：
    客户端提交商品信息，并将所述商品信息发送到服务器；
    所述服务器根据所述商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息；
    所述服务器对所述商品订单信息进行处理，获取商品的销售均价和降价幅度；
    所述服务器存储所述商品信息、与所述商品标识对应的所述销售均价和降价幅度；
    所述客户端获取所述商品信息、销售均价和降价幅度并进行展示。
  2. 如权利要求1所述的商品发布方法，其特征在于，所述服务器对所述商品订单信息进行处理，获取商品的销售均价和降价幅度的步骤包括：
    所述服务器读取商品订单信息中的商品销售价格，根据所述商品销售价格计算得到商品在所述预设时间段内的销售均价；
    所述服务器获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度。
  3. 如权利要求2所述的商品发布方法，其特征在于，在所述服务器读取商品订单信息中的商品销售价格的步骤之前还包括：
    判断数据库中是否存在所述销售均价，若是，则进入所述服务器获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度的步骤，否则，进入所述服务器读取商品订单信息中的商品销售价格的步骤。
  4. 如权利要求1至3任一项所述的商品发布方法，其特征在于，所述方法还包括：
    所述服务器接收客户端的数据请求，根据所述数据请求中的商品标识提取对应的商品的销售均价和降价幅度，将所述销售均价和降价幅度返回至客户端；
    所述客户端接收所述商品的销售均价和降价幅度并显示。
  5. 如权利要求1至3任一项所述的商品发布方法，其特征在于，所述方法还包括：
    所述服务器接收客户端的搜索请求，根据所述搜索请求中的关键字搜索与所述关键字匹配的商品搜索结果；
    根据所述商品搜索结果的商品标识提取对应的销售均价和降价幅度，将所述销售均价和降价幅度返回至客户端；
    所述客户端显示所述商品搜索结果，并对应显示所述商品的销售均价和降价幅度。
  6. 一种商品发布服务器，其特征在于，包括：
    接收模块，用于接收客户端提交的商品信息；
    查询模块，用于根据所述商品信息在数据库中查询预设时间段内的与商品标识对应的商品订单信息；
    处理模块，用于对所述商品订单信息进行处理，获取商品的销售均价和降价幅度；及
    存储模块，用于存储所述商品信息、与所述商品标识对应的所述销售均价和降价幅度；
    反馈模块，用于将所述商品信息、与所述商品标识对应的所述销售均价和降价幅度反馈给客户端。
  7. 如权利要求6所述的商品发布服务器，其特征在于，所述处理模块包括：
    均价获取模块，用于读取商品订单信息中的商品销售价格，根据所述商品销售价格计算得到商品在所述预设时间段内的销售均价；
    降价幅度获取模块，用于获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度。
  8. 如权利要求7所述的商品发布服务器，其特征在于，所述处理模块还包括：
    判断模块，用于判断数据库中是否存在所述销售均价，若是，则通知所述降价幅度获取模块获取商品当前价格，将所述商品当前价格与所述销售均价进行对比，获取商品的降价幅度，否则，通知所述均价获取模块读取商品订单信息中的商品销售价格。
  9. 一种商品发布系统，其特征在于，包括：
    如上述权利要求6~8任一项所述的服务器；
    客户端，用于提交商品信息，并将所述商品信息发送到所述服务器；
    所述客户端还用于从所述服务器获取所述商品信息、与所述商品标识对应的所述销售均价和降价幅度并进行展示。
  10. 如权利要求9所述的商品发布系统，其特征在于，所述服务器还包括：
    数据请求处理模块，用于接收客户端的数据请求，根据所述数据请求中的商品标识提取对应的商品的销售均价和降价幅度，并调用所述反馈模块将对应的所述销售均价和降价幅度返回至客户端；
    所述客户端还包括：显示模块，用于接收对应的所述商品的销售均价和降价幅度并显示。
  11. 如权利要求9所述的商品发布系统，其特征在于，所述服务器还包括：
    搜索模块，用于接收客户端的搜索请求，根据所述搜索请求中的关键字搜索与所述关键字匹配的商品搜索结果；
    提取模块，用于根据所述商品搜索结果的商品标识提取对应的销售均价和降价幅度，并调用所述反馈模块将对应的所述销售均价和降价幅度返回至客户端；
    所述客户端还包括：显示模块，用于显示所述商品搜索结果，并对应显示所述商品的销售均价和降价幅度。
PCT/CN2012/086626 2012-02-07 2012-12-14 商品发布方法、服务器和系统 Ceased WO2013117103A1 (zh)

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