WO2002099691A1 - Method of intelligent selecting products - Google Patents

Abstract

The present invention discloses a method of intelligent selecting products used in a electronic trade system having a product database for trading product, and providing purchasers with convenient select function. The method at least comprises: starting step for entering into the electronic trade system; filtering step for inputting the filter condition to filter the product items which are up to the filter condition; selecting step for selecting a firs product item; and similar product searching step for searching the product item which is similar to the selected first product item in the product database by the trading center.

Description

 Method for intelligently selecting products

 The present invention relates to a method for intelligently selecting products, and more particularly to an electronic trading system for plastic materials. The system provides a function of intelligent material selection to provide buyers with more complete transaction data. Background of the invention

 In today's industrial materials, plastic materials have been applied to many uses. Even with the development of the plastic industry, plastic materials have gradually replaced traditional metal materials such as steel. As a result, plastic materials have become more diverse. Different types of plastic materials and plastic materials are usually replaceable. Therefore, the industry must make the best decision among multiple materials and multiple suppliers to produce the highest quality plastic products at the lowest cost.

 As mentioned above, different plastic materials and different suppliers usually have substitutability. Usually, the substitutability of the plastic material depends on the material characteristics of the plastic material. In other words, before purchasing materials, the supplier must decide whether the plastic material is suitable for the needs of the supplier according to the material characteristics of the plastic material provided by the supplier. Moreover, different suppliers can also provide similar plastic materials with the same characteristics, and even for the same plastic raw materials, different suppliers may provide different prices and quality. For this reason, it is necessary to provide an intelligent selection mode so that the best decision can be made between different suppliers and different plastic materials.

However, quotations for plastic materials change over time, so the database information must be updated at any time. For traditional transaction models, this process of updating information would be slow and time-consuming. Therefore, for the transaction of plastic materials, there is also a need to provide a system in which not only the purchase People can get real-time information, and suppliers can change the price and the inner valley of plastic materials at any time.

 Therefore, for buyers of plastic materials, there is a need to provide a method for intelligently selecting products, so that buyers can search for similar products and select the most appropriate products accordingly. Summary of the Invention

 In view of this, the main object of the present invention is to provide a method for intelligently selecting products, so that users can obtain relevant information of transactions and conveniently complete electronic transactions.

 A secondary object of the present invention is to provide a method for intelligently selecting a product, so that a user can view similar materials in a database according to the material characteristics of the selected product.

 To achieve the above object, the technical solution of the present invention is specifically implemented as follows:

 A method for intelligently selecting products, which is applied to an electronic trading system with a product database for trading products and provides convenient selection functions for buyers, including:

 An initial step for entering the electronic trading system;

 In a screening step, the purchaser can enter a screening condition, so that the product items matching the screening condition are filtered from the product database;

 A selected step gland for selecting a first product item; and

 For a similar product step, the transaction center will search for product items in the product database that are similar to the selected first product item.

 The method for intelligently selecting products further includes:

A similar product selection step and a transaction step. Through the similar product selection step, the purchaser can select a second product item from the similar product items. Through the transaction step, the purchaser can select the item. Of the second product project with the supplier of the product project. The electronic transaction system in the method for intelligently selecting products is connected to the Internet, and the purchaser can communicate with the electronic transaction system through the Internet.

 In the intelligent product selection method, the product database of the electronic trading system includes a sales price, a quantity, a supplier, a manufacturer, and the like of each product.

 In the method for intelligently selecting products, the products traded by the electronic trading system are plastic materials, and the product database includes the specifications (grades), characteristics, processing methods, and various material characteristics and test methods of each product. .

In the intelligent product selection method, the product traded by the electronic trading system is a plastic material, and the product database includes various material characteristics of each product, including a filler type (Filler), a filler content (Filler Content), Specific Gravity, Melting Point, Melt Flow Rate, Relative Viscosity, Intrinsic Viscosity, Moisture Absorption (@ 24h / 23 ° C Water Absorption), Forming Shrinkage (MD 丄 Mold Shrinkage (Flow Direction)), Forming Shrinkage (TD 丄 Mold Shrinkage (Transverse Direction)), Tensile Strength at Break, Tensil Strength at Yield, Tensile at Break Elongation at Break), Tensile Modulus, Flexural Strength, Flexural Moduus, Izod Impact Strength (notched), 23 ° C Izod Impact Strength (notched) Impact strength (notched) (-20 ° C Izod Impact Strengt h (notched)), Izod Impact Strength (notched) (-40 ° C Izod Impact Strength (notched)), Charpy Impact Stroke (notched) (23 ° C Charpy Impact Strensth (notched)), Charpy Impact Strength (notched) (-20 ° C Charpy Impact Strength (notched),-40 ° C Charpy Impact Strength (notched)), Rockwell Hardness or Shore Hardness (Rockwell / Shore Hardness ) Heat distortion temperature Degrees (0.46 MPaHeat Deflection TemP), thermal deformation temperature (1.82 MpaHeat Deflection Temp), Vicat Softening Point, linear expansion coefficient (MD) (10-5Coefficient of Linear Thermal Expansion), linear expansion month TD (10-5 Coefficient of Linear Thermal Expansion), Surface Resistivity, Volume Resistivity, Dielectric Strength (@IMHz Dielectric Strength), Dielectric Constant, Diffusion Coefficient (1MHz) (Dissipation Factor), Arc Resistance (EMI Shielding), flame resistance and light transmittance (Light Transmittance).

 The advantages of the method for intelligently selecting products of the present invention are:

 1) The method can compare the database of related products according to the needs of the user, and output a list of products with similar properties in the database to the user, so that the user can obtain the relevant information of the transaction and conveniently complete the electronic transaction.

 2) The method can further provide an automatic comparison function, so that the user can view similar materials in the database according to the material characteristics of the selected product.

 3) Because the method has a complete database and the convenience of the Internet, the purchaser can quickly select the most suitable product in the purchasing process through the intelligent selection method of the present invention. In particular, for a plastic product, the purchaser can easily select or purchase the best alternative or the best supplier through the intelligent selection method of the present invention. Brief description of the drawings

 FIG. 1 is a schematic flowchart of a method for intelligently selecting products according to the present invention.

 FIG. 2 is a front page of an electronic transaction method according to a preferred embodiment of the present invention.

FIG. 3 is an intelligent material selection page output by a method for intelligently selecting a product according to an embodiment of the present invention. FIG. 4 is a smart material selection statistics page output by the smart product selection method according to an embodiment of the present invention. FIG. 5 is an intelligent material selection detail page output by the method for intelligently selecting products according to the embodiment of the present invention. FIG. 6 is a comparative substance property data page output by the method for intelligently selecting a product according to the embodiment of the present invention.

 FIG. 7 is a material property data page output by a method for intelligently selecting a product according to an embodiment of the present invention. FIG. 8 is a similar plastic statistics page output by the method for intelligently selecting products according to an embodiment of the present invention. FIG. 9 is a similar plastic detail page output by the method for intelligently selecting products according to an embodiment of the present invention. Mode of Carrying Out the Invention

 The present invention will be further described in detail below with reference to the drawings and specific embodiments.

 In the following, a plastic material in Electronic Commerce (EC) is used as an example to describe the method for intelligently selecting a product of the present invention, but the method for intelligently selecting a product of the present invention can also be applied to transactions of other products. Those familiar with this technology will be able to easily understand electronic trading systems, such as US Patent Nos. 5,970,475, 5,557,518, and 5,319,542, which have disclosed different electronic trading systems that can conduct electronic transactions through the Internet.

 According to a preferred embodiment of the present invention, the method for intelligently selecting products of the present invention is applied to an electronic trading system for trading plastic materials, wherein the electronic trading system includes a buyer, a supplier, and a trading center, and the Internet ) Are interconnected, and the electronic trading system has a product database. Furthermore, the electronic transaction system is structured in a computer system to perform electronic transactions or provide users with the function of querying products.

The product database includes the sales price, quantity, supplier, manufacturer, etc. of each plastic material. And the product database also provides the specifications (grades), characteristics, processing methods (Process Methods) of various plastic materials and various material properties and testing methods. The material properties include Filler, Filler Content, Specific Gravity, Melting Point, Melt Flow Rate, Relative Viscosity, Intrinsic Viscosity, Moisture Absorption Rate (® 24h / 23 ° C Water Absorption), mold shrinkage (MD II Mold Shrinkage (Flow Direction)), mold shrinkage (TD 丄 Mold Shrinkage (Transverse Direction)), tensile strength at break (Tensile Strength at Break), Tensile Strength at Yield, Tensile Elongation at Break, Tensile Modulus, Flexural Strength, Flexural Modulus, Izod Impact Strength (notch) Type) (23 ° CIzod Impact Strength (notched), Izod Impact Strength (notched)) (―20 ° C Izod Impact Strength (notched)), Izod Impact Strength (notched) (-40 ° C Izod Impact Stength (notched)), exact impact strength (notched) (23 ° C Charpy I mpact Strength (notched)), Charpy Impact Strength (notched) (-20 ° C Charpy Impact Strength (notched)), Charpy Impact Strength (notched) (-40 ° C Charpy Impact Strength (notched)), Luo Hardness or Shore hardness (Rockwell / Shore Hardness), heat deformation temperature (0.46 MpaHeat Deflection Temp), heat deformation temperature (1.82 MpaHeat Deflection Temp), Vicat Softening Point (Vicat Softening Point), linear expansion coefficient (MD) (MD) ( 10-5 Coefficient of Linear Thermal Expansion), linear expansion coefficient (TD) (10-5 Coefficient of Linear Thermal Expansion), surface resistance (Surface Resistivity), volume resistance (Volume Resistivity), dielectric strength (@ 1ΜΗζ Dielectric Strength), Dielectric Constant, Diffusion Constant (1MHz), Dissipation Factor, Arc Resistance, EMI Shielding, Flame Resistance, and Light Transmittance.

When a buyer wants to purchase plastic materials or inquire about plastic materials, the buyer can Enter the homepage of the trading center of the electronic trading system of the present invention by networking. The homepage of the trading center has a selection function. In this step, the purchaser (user) can determine the types of products to be traded, such as plastics, processing equipment, and colorants / additives. The purchaser may click the button of "smart material selection" in the homepage to enter the step 110 of intelligent material selection. Alternatively, the transaction center may provide an appropriate path in other processes of the transaction, so that the user can enter step 110 of the intelligent material selection of the present invention. An example of the form of this front page is shown in Figure 2.

 Referring to FIG. 1, a schematic flowchart of step 110 of intelligent material selection according to the present invention is shown. After a user enters step 110 of the intelligent material selection, and enters the initial step 120 of the intelligent material selection, the trading center will display an input form, which is shown in FIG. 3.

 The input form mainly includes two parts. One is the plastic property input part. The user can input data such as the type of plastic, manufacturer, etc., as well as the processing method, plastic properties, etc. through the pull-down menu. The other is the designated product part, and the user can enter the product name or specifications. After the user enters the selected data, he can click the "Search" button located above or below to enter the next step 130.

 In step 130, the transaction center will use the Boolean operation "OR" to filter the product database from the product database. The product items that match the user's input data; Boolean operation

"AND" to filter product items whose processing method and plastic characteristics match the input data of the user; and Boolean operation "AND," to filter product items whose product name and specifications match the input data of the user. Moreover, the product The name may be a certain word or letter as the search condition, and the specification may be a keyword as the search condition. After that, the process proceeds to step 140.

In step 140, the trading center outputs the filtered result, and the output format is shown in FIG. 4 as an example. Figure 4 is roughly composed of three parts. The lower part of the figure 4 is the number of products According to the statistical data of the product items filtered in the database, the number of plastics in the product database that meets the conditions set by the user, and the number of plastics from different suppliers are displayed. If the user wants to know the qualified product items of a specific company, click the "company name" button in the information shown, and enter step 150, which is used to filter the product item details of the specific company, and then Go to step 160. If the user wants to know the items of all products that meet the conditions, click the "Detailed Information" button to directly go to step 160 for displaying the details of the product items. Furthermore, if the user wants to view the data on the next page, click the "GOTO"button; if he wants to search again, click "Back to Plastic Search" to return to step 120. The middle part of FIG. 4, through the transaction center, displays the data entered by the user in step 120, such as the type of plastic, manufacturer, processing conditions, and characteristics of the plastic. The upper part of FIG. 4 is used to input the material properties of the plastic. The user can input a variety of material properties and their ranges to be limited, and click "Search" to enter step 170. In step 170, the trading center will screen The product items that meet the user's input data, and return to step 140 again, and output the filtered results. Furthermore, the input of the characteristics of the plastic substance in the trading center has the function of a pull-down menu. After selecting a certain substance characteristic, the "min" and "max" on the back side will respectively display the minimum and maximum values of the substance characteristic in the products that have been screened.

In step 160, the transaction center will display the details of the filtered product items, and the output form is shown in FIG. 5 as an example. Figure 5 is quite similar to Figure 4 and consists of three parts. The card part in FIG. 5 is the detailed data of the product items selected in the product database, and displays the supplier, important substance characteristics, product name, specifications, etc. of the product. If the user clicks on a product, If the "Material Properties Data Sheet" button is pressed, the process proceeds to step 180; if the user clicks the "Online Delivery" button of a certain product, the process proceeds to step 190; if the user selects multiple product items, and clicks "Comparison search", then proceed to step 200. Furthermore, if the user To return to the previous step, click "Previous Page, and press the button to return to the previous step. To search again, click" Return to Plastic Search "to return to step 120. The middle part of Figure 5 The information entered by the user in step 120, such as the type of plastic, manufacturer, processing conditions, plastic characteristics, etc. is displayed via the transaction center. The upper part of FIG. 5 is used to input the characteristics of the plastic material, and the user A plurality of substance characteristics and ranges to be limited can be input again, and click "Search" to proceed to step 210. In step 210, the transaction center screens product items that match the user input data, and returns to step 160 again to output the filtered results. In addition, the input of the plastic material properties of the trading center has the function of a pull-down menu. When a user clicks on a material property, the "min" and "max" on the back side will respectively display the filtered products , The minimum and maximum values of the substance's properties, or the value entered by the user in the previous step.

 In step 190, the user will enter an electronic transaction system to perform processes such as identity verification and credit inquiry in order to complete the electronic transaction. In step 200, the transaction center will list the material property data of the product item selected by the user, and an example of the output form is shown in FIG. In this step 200, the user can click different unit conversion buttons to convert the units of the displayed data, such as the metric system, the English system, and the international (SI) system. If the user selects a specific product item, then click the product and proceed to step 180. Furthermore, if the user wants to return to the previous step, click the "back to previous page" button to return to the previous step; if he wants to search again, click "return to plastic search" to return to step 120.

In step 180, the transaction center will list the material property data of the specific product item selected by the user, and the output form is shown in FIG. 7 as an example. In this step 180, the user can click different unit conversion buttons to convert the units of the displayed data, such as the metric system, the English system, and the international (SI) system. Furthermore, if the user wants to return to the previous step, click "Back to previous page, and press the button to return to the previous step; if he wants to search again, click" Return to plastic search, " To return to step 120. If the user wants to trade the selected specific product item, click the "Online Supply" button to enter the transaction in step 190. If the user wants to further query other plastic materials with similar material characteristics, click "Search for similar substance properties", proceed to step 300, enter the similar substance property search step.

 In step 300, the transaction center will use a predetermined algorithm to filter product items in the product database that are similar to the selected product item, and then proceed to step 310. In step 300, first, the trading center will use the polymer of the selected product item as a limiting condition; then the polymer determines the type of important material properties of the product item and material properties such as a melt index A similarity calculation factor; after that, the similarity is further quantified by the value of the important material property. The transaction center also presets a similarity limit value to limit the number of similar products output.

 For example, if the plastic material of the selected product item is polypropylene (PP), the trading center will select six specific material properties that are highly related to polypropylene, such as filling, from the foregoing multiple material properties. Filler, flammability, tensile strengh at yield, flexural modulus, impact strength, heat distortion temperature, and The value of the material property of the selected product item is within the range of ± 10%. Select the product database. In step 310, the trading center outputs the filtered result, and the output form is shown in FIG. 8 as an example.

Figure 8 The carcass consists of two parts. The lower part of FIG. 8 is the statistical data of the product items selected in the product database, showing the number of plastics in the product database that meet the conditions set by the user, and the number of different suppliers. If the user wants to know the items of a certain company's eligible products, he clicks the "company name" button in the information shown, and enters step 350, which is used to filter the details of the products of the specific company. Go to step 360. If you use The person who wants to know the items of all eligible products, then clicks the "Detailed Information" button to directly go to step 360, which is used to display the details of the product items. Furthermore, if the user wants to view the data on the next page, click the "GOTO"button; if he wants to search again, click "Back to Plastic Search" to return to step 120. The upper part of the FIG. 8 is used to display relevant information of the selected product item.

 In step 360, the transaction center will display the details of the filtered product items, and the output form is shown in FIG. 9 as an example. Figure 9 is quite similar to Figure 8 and consists of two parts. The lower part of Figure 9 is the detailed information of the product items selected in the product database, showing the supplier, important substance characteristics, product name, specifications, etc. of the product. If the user clicks on the "Characteristics data sheet" button, proceed to step 180; if the user clicks the "Online Delivery" button of a certain product, proceed to step 190; if the user selects multiple product items, and click "compare" "Search", then enter step 200; if the user wants to return to the previous step, click "Previous Page, and press the button to return to the previous step; if you want to search again, click" Return to Plastic Search " To return to step 120. The upper part of FIG. 9 is used to display relevant data of the selected product item.

 In summary, the user can easily enter the trading center through the Internet and use the intelligent product selection method to easily select the product item to be traded or query the relevant information of the product item.

 The above description is only the preferred embodiments of the present invention, and is not intended to limit the protection scope of the present invention.

Claims

Claim  A method for intelligently selecting products is applied to an electronic trading system with a product database for trading products and provides a convenient selection function for buyers. The method is characterized in that: the method for intelligently selecting products includes:  An initial step for entering the electronic trading system;  In a screening step, the purchaser can enter a screening condition, so that the product items matching the screening condition are filtered from the product database;  A selection step for selecting a first product item; and  In a similar product retrieval step, the transaction center will search for product items in the product database that are similar to the selected first product item.  2. The method for intelligently selecting products according to claim 1, wherein the method for intelligently selecting products further comprises a transaction step, and the purchaser can supply the selected first product item and the supply of the product item. Business.  3. The method for intelligently selecting products according to claim 1, characterized in that: the method for intelligently selecting products further comprises a similar product selection step and a transaction step, and the buyer can be selected by the similar product selection step. A second product item is selected from similar product items, and the purchaser can conduct a transaction with the supplier of the product item on the selected second product item through the transaction step.  4. The method for intelligently selecting products according to claim 1, 2 or 3, characterized in that the electronic trading system is connected to the Internet, and the purchaser can interact with the electronic trading system through the Internet. communicate with. 5. The method for intelligently selecting products according to claim 1, 2 or 3, characterized in that: the product database of the electronic trading system includes the sales price, quantity, and supply of each product Manufacturer.  6. The method for intelligently selecting products according to claim 1, 2 or 3, characterized in that: the products traded by the electronic trading system are plastic materials, and the product database includes the specifications (grade), Material properties, processing methods, and test methods corresponding to each material property. 7. The method for intelligently selecting a product according to claim 6, characterized in that the characteristics of the substance are selected from the group consisting of Filler, Filler Content, Specific Gravity, Melting Point, Melt Flow Rate, Relative Viscosity, Intrinsic Viscosity, Moisture Absorption (@ 24h / 23 ° C Water Absorption), Mold Shrinkage (MD II Mold Shrinkage (Flow Direction)), Molding Shrinkage (TD 丄 Mold Shrinkage (transverse direction)), Tensile Strensth at Break, Tensile Strength at Yield, Tensile Elongation at Break, Tensil Modulus , Flexural Strength, Flexural Modulus, Izod Impact Strength (notched), 23 ° C Izod Impact Strength (notched),-20 ° C Izod Impact Strength (notched)), Izod Impact Strength (notched) (-40 ° C Iz od Impact Strength (notched))> Charpy Impact Strength (notched)), Charpy Impact Strength (notched) (-20 ° C Charpy Impact Strength (notched)), Charpy Impact Strength (notched) Specific impact strength (notched) (-40 ° C Charpy Impact Strength (notched), Rockwell / Shore Hardness (Rockwell / Shore Hardness), heat deformation temperature (0.46MpaHeat Deflection Temp), heat deformation temperature (1. 82 MpaHeat Deflection Temp), Vicat Softening Point (MD), Linear Expansion Coefficient (MD) (10-5 Coefficient of Linear Thermal Expansion;), Linear Expansion Coefficient (TD) (10-5 Coefficient of Linear Thermal Expansion), Surface Resistivity, Volume Resistivity, Dielectric Strength (@ IMHz Dielectric Strength), Dielectric Constant, IMHz (Dissipation Factor), Arc Resistance, EMI Shielding, Flame Resistance and Light Transmittance.  8. The method for intelligently selecting products according to claim 1, characterized in that: the products traded by the electronic trading system are plastic materials, and in the similar product search step, the similar product items are based on the product's The polymer is a limiting condition.  9. The method for intelligently selecting products according to claim 1, wherein: the products traded by the electronic trading system are plastic materials, and in the similar product retrieval step, the similarity of the similar products depends on the The main physical shield properties of the polymer of the selected product.  10. The method for intelligently selecting products according to claim 1, wherein: the products traded by the electronic trading system are plastic materials, and in the similar product search step, the similarity of the similar products can be determined by The difference between the material properties of the plastic product and the first selected product item is quantified.