CN1388460A - The Smart Way to Select Products - Google Patents

Abstract

The present invention discloses a method for intelligently selecting products, which is applied to an electronic trading system with a product database for trading products and providing a convenient selection function for buyers, comprising: an initial step for entering the electronic trading system; a screening step, in which the buyer can input screening conditions so as to screen product items that meet the screening conditions from the product database; a selection step for selecting a first product item; and a similar product step, in which the trading center searches the product database for product items that are similar to the selected first product item.

Description

The Smart Way to Select Products

The present invention relates to a method for intelligently selecting products, more specifically to an electronic transaction system for plastic materials, wherein the system provides the function of intelligently selecting materials to provide buyers with more complete transaction information.

In today's industrial materials, plastic materials have been applied to many purposes, and even with the development of the plastic industry, plastic materials have gradually replaced traditional metal materials such as steel. The plastic materials are also more diversified accordingly, and different types of plastic materials and plastic raw materials are usually substitutable. Therefore, the industry must make the best decision among multiple materials and multiple suppliers in order to produce the highest quality plastic products at the lowest cost.

As mentioned above, different plastic materials and different suppliers usually have substitutability, and usually the substitutability of the plastic material depends on the physical properties of the plastic material. That is to say, before purchasing materials, the industry needs to determine whether the plastic material is suitable for the needs of the industry based on the physical characteristics of the plastic material provided by the supplier. Furthermore, 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 qualities. In view of this, there is a need to provide an intelligent selection model so as to be able to make the best decision among different suppliers and different plastic materials.

However, the quotation of plastic materials changes with time, so the information in the database must be updated at any time. For traditional trading models, this process of updating data will be slow and time-consuming. Therefore, for the transaction of plastic materials, it is also necessary to provide a system in which not only buyers can obtain real-time information, but suppliers can also change quotations and product contents of plastic materials at any time.

In view of this, for buyers of plastic materials, it is necessary to provide a method for intelligently selecting products, so that buyers can search for similar products and thereby select the most suitable product.

The main purpose of the present invention is to provide a method for intelligently selecting products so that users can obtain transaction-related information and complete electronic transactions conveniently.

The secondary purpose of the present invention is to provide a method for intelligently selecting products, so that users can view similar materials in the database according to the material properties of the selected products.

The object of the present invention is achieved like this: a kind of method of intelligent selection product is applied in the electronic trading system with a product database in order to trade product, and provides convenient selection function to the buyer, comprises:

an initial step for entering the electronic trading system;

a screening step, the purchaser can input the screening conditions, so as to filter the product items meeting the screening conditions from the product database;

a selection step for selecting a first product item; and

In a similar product step, the transaction center searches the product database for product items similar to the selected first product item.

The method of intelligently selecting products further includes:

A similar product selection step and a transaction step. Through the similar product selection step, the buyer can select a second product item from the similar product items. Through the transaction step, the buyer can select a second product item for the selected product. The second product item of the trades with the supplier of the product item.

The electronic transaction system in the method for intelligently selecting products is connected to the Internet (Internet), and the buyer can communicate with the electronic transaction system through the Internet.

In the method for intelligently selecting products, the product database of the electronic transaction system includes the sales price, quantity, supplier, manufacturer, etc. of each product.

In the method of intelligently selecting products, the products traded by the electronic trading system are plastic materials, and the product database includes the specifications (grade), characteristics, processing methods (Process Method) and various material properties and testing methods of each product .

In the method of intelligently selecting products, the products traded by the electronic trading system are plastic materials, and the product database includes various material characteristics of each product, including filler type (Filler), filler content (Filler Content), Specific Gravity, Melting Point, Melt Flow Rate, Relative Viscosity, Intrinsic Viscosity, Moisture Absorption (@24h/23℃Water Absorption), Molding Shrinkage ( MD⊥Mold Shrinkage (Flow Direction)), forming shrinkage rate (TD⊥MoldShrinkage (transverse Direction)), tensile breaking strength (Tensile Strength at Break), tensile yield strength (Tensil Strength at Yield), breaking elongation (Tensile Elongation at Break), Tensile Modulus, Flexural Strength, Flexural Moduus, Izod Impact Strength (notched) (23℃ Izod Impact Strength (notched)), Izod Impact Strength (notched) (-20℃ IzodImpact Strength (notched)), Izod impact strength (notched) (-40℃ Izod ImpactStrength (notched)), just than the impact strength (notched) (23℃ Charpy ImpactStrensth (notched)), just Specific impact strength (notched) (-20 ℃ Charpy Impact Strength (notched), just than the impact strength (notched) (-40 ℃ Charpy Impact Strength (notched)), Rockwell hardness or Shore hardness (Rockwell/Shore Hardness) heat Deformation temperature (0.46 MPaHeat Deflection TemP) heat deflection temperature (1.82 MpaHeatDeflection Temp), Vicat Softening Point (Vicat Softening Point), linear expansion coefficient (MD) (10-5Coefficient of Linear Thermal Expansion), linear expansion coefficient (TD) ( 10-5Coefficient of Linear Thermal Expansion), surface resistance (SurfaceResistivity), volume resistance (Volume Resistivity), dielectric strength (@IMHZDielectric Strength), dielectric constant (Dielectric Constant), dissipation coefficient (1MHz) (Dissipation Factor), resistance Arc Resistance, EMI Shielding, Flame Resistance and Light Transmittance.

The advantage of the method for intelligent product selection of the present invention is:

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

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

3) Since the method has a complete database and utilizes the convenience of the Internet, the buyer can quickly select the most suitable product in the purchasing process through the intelligent product selection method of the present invention. Especially, for plastic products, the buyer can easily select or purchase the best substitute or the best supplier through the intelligent product selection method of the present invention.

The technology of the present invention will be further described below in conjunction with the embodiments and accompanying drawings.

FIG. 1 is a schematic flow diagram of the method for intelligently selecting products of the present invention.

Fig. 2 is the home page of the electronic transaction method of the preferred embodiment of the present invention.

Fig. 3 is an intelligent material selection page output by the method for intelligently selecting products according to an embodiment of the present invention.

Fig. 4 is an intelligent material selection statistical page output by the intelligent product selection method according to the embodiment of the present invention.

Fig. 5 is an intelligent material selection detail page output by the intelligent product selection method according to the embodiment of the present invention.

Fig. 6 is a comparative material characteristic information page output by the method for intelligently selecting products according to an embodiment of the present invention.

Fig. 7 is a material property data page output by the method for intelligently selecting products according to an embodiment of the present invention.

Fig. 8 is a statistical page of similar plastics output by the method of intelligent product selection according to the embodiment of the present invention.

Fig. 9 is a similar plastic detail page output by the method for intelligent product selection according to the embodiment of the present invention.

Hereinafter, the method for intelligent product selection of the present invention will be described by taking plastic materials in Electronic Commerce (EC) as an example, but the method for intelligent product selection of the present invention can also be applied to transactions of other products. People who are familiar with this technology will be able to easily understand electronic transaction systems, such as US Patent Nos. 5,970,475, 5,557,518 and 5,319,542, which have disclosed different electronic transaction systems, which can conduct electronic transactions through the Internet (Internet). The aforementioned patents are incorporated herein by reference.

According to a preferred embodiment of the present invention, the method for intelligent product selection of the present invention is applied in an electronic transaction system to trade plastic materials, wherein the electronic transaction system includes buyers, suppliers and transaction centers, and through the Internet (Internet) ) are interconnected, and the electronic transaction system has a product database. Furthermore, the electronic trading system is built in a computer system to conduct electronic trading, or provide users with the function of querying products.

The product database includes sales price, quantity, suppliers, manufacturers, etc. for each plastic material. And the product database also provides the specifications (grade), characteristics, processing methods (Process Method) of various plastic materials, as well as various material properties and testing methods. The material characteristics include filler type (Filler), filler content (Filler Content), specific gravity (Specific Gravity), melting point (Melting Point), flow index (Melt Flow Rate), relative viscosity (Relative Viscosity), absolute viscosity (Intrinsic Viscosity) ), moisture absorption (@24h/23℃WaterAbsorption), molding shrinkage (MD‖Mold Shrinkage (Flow Direction)), molding shrinkage (TD⊥Mold Shrinkage (transverse Direction)), tensile breaking strength (TensileStrength at Break), Tensile Strength at Yield, Tensile Elongation at Break, Tensile Modulus, Flexural Strength, Flexural Modulus, Izod Impact Strength (Notch Type) (23℃ Izod Impact Strength (notched), Izod Impact Strength (notched) (-20℃ Izod Impact Strength (notched)), Izod Impact Strength (notched) (-40℃ Izod Impact Strength ( notched)), just than the impact strength (notched) (23 ℃ Charpy Impact Strength (notched)), than the impact strength (notched) (-20 ℃ Charpy Impact Strength (notched)), than the impact strength (notched) )(-40℃Charpy Impact Strength(notched)), Rockwell hardness or Shore hardness (Rockwell/Shore Hardness), heat distortion temperature (0.46 MpaHeat Deflection Temp), heat distortion temperature (1.82MpaHeat Deflection Temp), Vicat softening point (Vicat Softening Point), linear expansion coefficient (MD) (10-5Coefficient of Linear Thermal Expansion), linear expansion coefficient (TD) (10-5Coefficient of Linear Thermal Expansion), surface resistance (SurfaceResistivity), volume resistance (Volume Resistivity) , Dielectric Strength (@1MHzDielectric Strength), Dielectric Constant (Dielectric Constant), Dissipation Coefficient (1MHz) (Dissipation Factor), Arc Resistance (Arc Resistance), Electromagnetic Wave Shielding Effect (EMIShielding), Flame Resistance and Transmittance (Light Transmittance).

When a buyer wants to purchase plastic materials or inquire about plastic materials, the buyer can enter the home page (Homepage) of the transaction center of the electronic transaction system of the present invention through the Internet. The home page of the transaction center has a selection function, and the buyer (user) can determine the type of product to be traded in this step, such as plastics, processing equipment, colorants/additives, and the like. The buyer can click the button of "smart material selection" on the home page to enter the step 110 of smart material selection. Alternatively, the transaction center may provide an appropriate path during other transaction processes so that the user can enter step 110 of the intelligent material selection of the present invention. An example of the form of the home page is shown in FIG. 2 .

Referring to FIG. 1 , it shows a schematic flowchart of step 110 of intelligent material selection according to the present invention. After entering the step 110 of the smart material selection, a user enters the initial step 120 of the smart material selection, and the transaction center will display an input form, as shown in FIG. 3 .

The input form mainly includes two parts, one is the input part of plastic properties, the user can input information such as plastic type, manufacturer, etc., and input processing methods, plastic properties and other information through the drop-down menu. The other is the designated product part, the user can input the product name or specification. 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 trading center will use the Boolean operation "OR" to screen the product items in the product database that match the type of plastic, the manufacturer, and the data input by the user; use the Boolean operation "AND" to filter the processing method, plastic characteristics and The product items that match the data input by the user; and use the Boolean operation "AND" to filter the product items whose product names and specifications match the data input by the user. Moreover, the product name can be a certain word or letter as a search condition, and the specification can be a keyword as a search condition. After that, go to step 140 .

In step 140, the transaction center outputs the filtered results, and the format of the output is shown in FIG. 4 as an example. Figure 4 generally consists of three parts. The lower part of FIG. 4 is the statistical data of the selected product items 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 desires to know the qualified product items of a specific company, then click the "company name" button in the displayed data to enter step 150, in order to filter the details of the specific company's product items, after that Go to step 160. If the user wants to know the items of all eligible products, he clicks the "details" button to directly enter step 160 to display the details of the product items. Furthermore, if the user wants to check the data on the next page, he clicks on the "GOTO" button; The middle part of FIG. 4 shows the information input by the user in step 120 via the transaction center, such as the type of plastic, the manufacturer, the processing conditions, and the properties of the plastic. The upper part of FIG. 4 is used to input the material properties of plastics. 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 transaction center will screen the product items that match the data input by the user, and return to step 140 again to output the screened results. Furthermore, the input of the material properties of the plastic in the trading center has the function of a drop-down menu. When the user clicks on a material property, the "min" and "max" on the rear side will display the filtered products respectively. , the minimum and maximum values of the material properties.

In step 160, the transaction center will display the details of the filtered product items, and the form of the output is shown in FIG. 5 for example. Fig. 5 is quite similar to Fig. 4 and generally consists of three parts. The lower part of this figure 5 is the detailed information of the product items screened out in the product database, showing the supplier, important material characteristics, product name, specifications and other information of the product. If the user clicks on the " If the user selects the "online supply" button of a certain product, then enters in the step 190; if the user selects multiple product items, and clicks " Compare retrieval ", then enter in the step 200. Furthermore, if the user wishes to return to the previous step, he clicks on the "previous page" button to return to the previous step; The middle part of FIG. 5 displays the information input by the user in step 120 via the transaction center, such as the type of plastic, the manufacturer, the processing conditions, and the characteristics of the plastic. The upper part of FIG. 5 is used to input the material properties of plastics. The user can input multiple material properties and their ranges to be limited again, and click “Search” to enter step 210 . In step 210, the transaction center will screen the product items that match the data input by the user, and return to step 160 again to output the screened results. Furthermore, the input of the material properties of the plastic in the trading center has the function of a drop-down menu. When the user clicks on a material property, the "min" and "max" on the rear side will display the filtered products respectively. , the minimum and maximum values for the substance property, or the user-entered values in the previous step.

In the step 190, the user will enter an electronic transaction system for identity authentication and credit inquiry, so as to complete the electronic transaction. In step 200, the transaction center will list the material characteristic data of the product item selected by the user, and the output format is shown in FIG. 6 as an example. In this step 200, the user can click different unit conversion buttons to convert the units of the displayed data, such as metric system, imperial system, and international (SI) system. If the user selects a specific product item, the user clicks on the product and enters step 180 . Furthermore, if the user desires to return to the previous step, he clicks on the button "back to the previous page" to return to the previous step;

In the step 180, the transaction center will list the material characteristic data of the specific product item selected by the user, and the output format 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 metric system, imperial system and international (SI) system. Furthermore, if the user desires to return to the previous step, he clicks on the button "back to the previous page" to return to the previous step; If the user wants to trade the selected specific product item, then click the "online supply" button to enter the transaction in step 190, if the user wants to further inquire about other plastic materials with similar material properties, then click "Retrieval of properties of similar substances", go to step 300, enter the step of searching for properties of similar substances.

In the step 300 , the trading center will filter the product items similar to the selected product item in the product database through a default algorithm, and then enter the step 310 . In step 300, firstly, the trading center will use the polymer of the selected product item as a restriction; then the polymer determines the type of important material properties of the product item and material properties such as flow index (melt index) as The calculation factor of the similarity; after that, the similarity is further quantified by the value of the important material property. The transaction center also predetermines a limit value of the similarity degree to limit the output quantity of the similar products.

For example, if the plastic material of the selected product item is polypropylene (PP), the trading center will select 6 specific material properties that are highly related to polypropylene from the aforementioned multiple material properties, such as filling Filler, flammability, tensile strength (tensile strenghat yield), tensile modulus (flexural modulus), impact strength (impact strength), heat distortion temperature (heat distortion temperature), and the selected The material property value of the product item is within the range of ±10%, and the product database is screened. In step 310, the transaction center outputs the filtered results, and the format of the output is shown in FIG. 8 as an example.

Figure 8 generally 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 plastic items in the product database that meet the conditions set by the user, and the number of items from different suppliers. If the user wants to know the qualified product items of a certain specific company, then click the "company name" button in the displayed data to enter step 350, in order to filter the details of the specific company's product items, after that Go to step 360 . If the user wants to know the items of all qualified products, he clicks the "Detailed Information" button to directly enter step 360 to display the details of the product items. Furthermore, if the user wants to check the data on the next page, he clicks on the "GOTO" button; The upper part of Figure 8 is used to display the relevant information of the selected product item.

In step 360, the transaction center will display the details of the filtered product items, and the form of the output is shown in FIG. 9 as an example. Fig. 9 is quite similar to Fig. 8 and basically consists of two parts. The lower part of Figure 9 is the detailed information of the product items screened out in the product database, showing the supplier, important material characteristics, product name, specifications, etc. of the product. If the user clicks on the "substance If the user selects the "online supply" button of a certain product, then enters in step 190; if the user selects multiple product items, and clicks "Compare Search", then enter in step 200; If the user wants to return to the previous step, then click the "Previous Page" button to get back to the previous step; if you want to search again, then click "Back to Plastic Search", to return to step 120 . The upper part of Figure 9 is used to display the relevant information of the selected product item.

To sum up, the user can easily enter the trading center through the Internet, and through the intelligent product selection method, easily select the product item to be traded, or inquire about the relevant information of the product item.

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

Claims (10)

1. the method for selecting the product by intelligence, be applied to have in the electronic trading system of a product database in order to products transactions, and to the selection function that the buyer provides convenience, it is characterized in that: this method for selecting the product by intelligence comprises:

One initial step is in order to enter this electronic trading system;

One screening step, the buyer can import screening conditions, so that met the product item of these screening conditions by screening in this product database;

One selected step is in order to selected one first product item; And

One like product searching step, this trade center will be searched in this product database and the similar product item of first product item that should select.

2. the method for selecting the product by intelligence according to claim 1 is characterized in that: this method for selecting the product by intelligence comprises a transaction step in addition, and first product item that this buyer can select and the supplier of this product item conclude the business.

3. the method for selecting the product by intelligence according to claim 1, it is characterized in that: this method for selecting the product by intelligence comprises a selected step of a like product and a transaction step in addition, can be by selected this buyer of step of this like product by selected one second product item in this like product project, second product item that can select by this buyer of this transaction step and the supplier of this product item conclude the business.

4. according to claim 1,2 or 3 described the method for selecting the product by intelligence, it is characterized in that: this electronic trading system is connected with internet (Internet), and this buyer can exchange with this electronic trading system mutually by this internet.

5. according to claim 1,2 or 3 described the method for selecting the product by intelligence, it is characterized in that: the selling price, quantity, supplier, the manufacturer that comprise each product in this product database of this electronic trading system.

6. according to claim 1,2 or 3 described the method for selecting the product by intelligence, it is characterized in that: the product that this electronic trading system is concluded the business is a plastic material, and comprises specification (grade), substance characteristics, job operation (Process Method) and every kind of pairing method of testing of substance characteristics of each product in this product database.

7. the method for selecting the product by intelligence according to claim 6, it is characterized in that: this substance characteristics is by filler kind (Filler); Filler content (Filler Content); Proportion (SpecificGravity); Melting point (Melting Point); Flow index (Melt Flow Rate); Relative viscosity (Relative Viscosity); Absolute viscosity (Intrinsic Viscosity); Hydroscopicity (@24h/23 ℃ of Water Absorption); Shaping shrinkage rate (MD ‖ Mold Shrinkage (FlowDirection)); Shaping shrinkage rate (TD ⊥ Mold Shrinkage (transverse Direction)); Uphold fracture strength (Tensile Strensthat Break); Uphold yield strength (Tensile Strengthat Yield); Fracture extension rate (Tensile Elongation at Break); Uphold coefficient of elasticity (TensilModulus); Bending strength (Flexural Strength); Elasticity of flexure coefficient (Flexural Modulus); Emhorn impact strength (gap type) (23 ℃ of Izod Impact Strength (notched)); Emhorn impact strength (gap type) (20 ℃ of Izod Impact Strength (notched)); Emhorn impact strength (gap type) (40 ℃ of Izod Impact Strength (notched)); Proper Charpy intensity (gap type) (23 ℃ of Charpy Impact Strength (notched)); Proper Charpy intensity (gap type) (20 ℃ of Charpy Impact Strength (notched)); Proper Charpy intensity (gap type) (40 ℃ of Charpy Impact Strength (notched); Rockwell Hardness or Shore hardness (Rockwell/Shore Hardness); Heat distortion temperature (0.46MpaHeat Deflection Temp); Heat distortion temperature (1.82 MpaHeat Deflection Temp); Vicat softening point (Vicat SofteningPoint); Linear expansion coefficient (MD) (10-5Coefficient of Linear Thermal Expansion); Linear expansion coefficient (TD) (10-5Coefficient of Linear Thermal Expansion); Sheet resistance (Surface Resistivity); Volume resistance (Volume Resistivity); Dielectric strength (@IMHz Dielectric Strength); Dielectric constant (Dielectric Constant); Dissipation coefficient (1MHz) (Dissipation Factor); Arc resistance (Arc Resistance); Electromagnetic shielding effect (EMI Shielding); Select in the group that flame resistance and transmissivity (Light Transmittance) consist of.

8. the method for selecting the product by intelligence according to claim 1 is characterized in that: the product that this electronic trading system is concluded the business is a plastic material, and in this like product searching step, this like product project is a qualifications with the polymkeric substance of this product.

9. the method for selecting the product by intelligence according to claim 1, it is characterized in that: the product that this electronic trading system is concluded the business is a plastic material, and in this like product searching step, the similarity of this like product depends on the main matter characteristic of the polymkeric substance of this selected product.

10. the method for selecting the product by intelligence according to claim 1, it is characterized in that: the product that this electronic trading system is concluded the business is a plastic material, and in this like product searching step, substance characteristics that the similarity of this like product can be by plastic cement products and the difference between this first selected product item and quantized.

Images