Product planning system, product planning method, and product planning program

Abstract

To provide a product planning system, a product planning method, a product planning program, and a product planning generation AI that can plan new products that do not exist in the world based on a trend forecast for a specific existing product. [Solution] A product planning system (10) includes a product information collection means (12a) that collects product trend information related to the popularity of a specific product via the Internet, and a product information generation means (12b) that generates new product information (NPI) related to a new product different from the specific product based on the collected product trend information. The product trend information includes first product trend information (PTI1) collected from word-of-mouth and reviews about the specific product and from social networking sites, and second product trend information (PTI2) collected from websites provided by manufacturers of the specific products or websites provided by organizations that perform technical evaluations of the specific products. The product information generating means 12b can generate, as new product information NPI, information based on products for which the first popular product information PTI1 and the second popular product information PTI2 are the same but have different product names, but which are from different information sources.

Description

[Technical Field]

[0001] The present invention relates to a technology for predicting the popularity of a particular product from information about the popularity of the product collected from the web, and for planning a new product that does not exist in the world based on the trend prediction. [Background technology]

[0002] Conventionally, in order to provide support when planning a product or service, a planning support device has been proposed that makes it easier to plan an attractive product or service by efficiently utilizing the knowledge and other information of multiple organizations or individuals (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-12421 Summary of the Invention [Problem to be solved by the invention]

[0004] However, with conventional systems, it was difficult to plan specific products.

[0005] In view of the above circumstances, the present invention provides a product planning system and a product planning method that can plan new products that do not exist in the world based on a trend forecast of a specific existing product. and, Product Planning Program M It is what we intend to provide. [Means for solving the problem]

[0006] The product planning system according to the present invention comprises a product information collection means for collecting product trend information relating to the popularity of a specific product via the Internet, and a product information generation means for generating new product information relating to a new product different from the specific product based on the collected product trend information, and the product trend information includes word-of-mouth and reviews about the specific product and information about SNS. (hereinafter referred to as the "primary source of information.") The first product trend information collected from the external Website (hereinafter referred to as "secondary information source"). or provided by an organization that performs technical evaluation of the specific product. external Website (hereinafter referred to as "Third Sources") and second commodity trend information collected from, the first commodity trend information includes trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries and regions as trend indicators, and trend information using economic terms as trend indicators, and the second commodity trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific commodity, the commodity information collecting means periodically collects the first commodity trend information, ranks the collected first commodity trend information, and is capable of extracting the first commodity trend information that has a higher rating than a predetermined rating, and the commodity information collecting means periodically collects the second commodity trend information, ranks the collected second commodity trend information, and extracts the first commodity trend information that has a higher rating than a predetermined rating. From inside, The second product trend information having a higher rating than a predetermined rating can be extracted, and the product information collection means associates the product name of the specific product with the extracted first product trend information and stores it in the storage means, and also associates the product name of the specific product with the extracted second product trend information and stores it in the storage means, and the product information generation means refer to the first product trend information of the two types of products acquired from the first information source, and if the first product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the first product trend information of these products as the new product information; and refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information. This is a product planning system characterized by the above.

[0007] The product planning method according to the present invention includes a product information gathering step in which a computer gathers product trend information relating to the popularity of a specific product via the Internet, and a product information generating step in which the computer generates new product information relating to a new product different from the specific product based on the collected product trend information, and the product trend information includes word-of-mouth and reviews about the specific product and information on social media. (hereinafter referred to as the "primary source of information.") The first product trend information collected from the external Website (hereinafter referred to as "secondary information source"). or provided by an organization that performs technical evaluation of the specific product. external Website (hereinafter referred to as "Third Sources") and second commodity trend information collected from the first commodity trend information including trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries and regions as trend indicators, and trend information using economic terms as trend indicators, and the second commodity trend information including information on novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific commodity, and the commodity information collecting step is capable of periodically collecting the first commodity trend information, ranking the collected first commodity trend information, and extracting the first commodity trend information having a higher rating than a predetermined rating, and the commodity information collecting step is capable of periodically collecting the second commodity trend information, ranking the collected second commodity trend information, and extracting the first commodity trend information having a higher rating than a predetermined rating. From inside, The second product trend information having a higher rating than a predetermined rating can be extracted, and the product information collecting step associates the product name of the specific product with the extracted first product trend information and stores it in a storage means, and also associates the product name of the specific product with the extracted second product trend information and stores it in a storage means, and the product information generating step refer to the first product trend information of the two types of products acquired from the first information source, and if the first product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the first product trend information of these products as the new product information; and refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information. The product planning method is characterized by the above.

[0008] The product planning program of the present invention causes a computer to function as a product information gathering means for gathering product trend information relating to the popularity of a specific product via the Internet, and as a product information generating means for generating new product information relating to a new product different from the specific product based on the collected product trend information, and the product trend information includes word-of-mouth and reviews of the specific product and information on social media. (hereinafter referred to as the "primary source of information.") The first product trend information collected from the external Website (hereinafter referred to as "secondary information source"). or provided by an organization that performs technical evaluation of the specific product. external Website (hereinafter referred to as "Third Sources") and second commodity trend information collected from, the first commodity trend information includes trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries and regions as trend indicators, and trend information using economic terms as trend indicators, and the second commodity trend information includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific commodity, the commodity information collecting means periodically collects the first commodity trend information, ranks the collected first commodity trend information, and is capable of extracting the first commodity trend information that has a higher rating than a predetermined rating, and the commodity information collecting means periodically collects the second commodity trend information, ranks the collected second commodity trend information, and extracts the first commodity trend information that has a higher rating than a predetermined rating. From inside, The second product trend information having a higher rating than a predetermined rating can be extracted, and the product information collection means associates the product name of the specific product with the extracted first product trend information and stores it in the storage means, and also associates the product name of the specific product with the extracted second product trend information and stores it in the storage means, and the product information generation means refer to the first product trend information of the two types of products acquired from the first information source, and if the first product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the first product trend information of these products as the new product information; and refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information. This is a product planning program characterized by the above. [Effects of the Invention]

[0010] Product planning system and product planning method according to the present invention, and, Product Planning Program MuThis provides the excellent effect of predicting the popularity of a specific existing product from information about the popularity of that product, and planning a new product that does not exist in the world based on the trend prediction. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a schematic diagram showing an overview of a product planning system 10 according to the present embodiment. [Figure 2] 1 is a system configuration diagram showing an example of the configuration of a product planning system 10 according to the present embodiment. [Figure 3] (a) A diagram showing an example of first product trend information PTI1 stored in storage device 26. (b) An example of new product information generated based on a combination of the same product and different trend information. (c) An example of new product information generated based on a combination of different products and the same trend information. (d) An example of new product information generated based on a combination of different products and different trend information. [Figure 4] (a) A diagram showing an example of second product trend information PTI2 stored in storage device 26. (b) An example of new product information generated based on a combination of the same product and different trend information. (c) An example of new product information generated based on a combination of different products and the same trend information. (d) An example of new product information generated based on a combination of different products and different trend information. [Figure 5] 10A is a diagram showing an example of first product evaluation information PTI1 and second product trend information PTI2 stored in storage device 26. 10B is an example of new product information generated based on a combination of the same product and the first and second product trend information for that product. 10C is an example of new product information generated based on a combination of different products and the first and second product trend information for that product. DETAILED DESCRIPTION OF THE INVENTION

[0012] A product planning system 10 according to an embodiment of the present invention will now be described with reference to the accompanying drawings.

[0013] <System Overview> First, an overview of a product planning system 10 according to this embodiment will be described with reference to Fig. 1. Fig. 1 is a schematic diagram showing an overview of the product planning system 10 according to this embodiment.

[0014] The product planning system 10 is a system comprising a product information collection means 12a that collects product trend information (first product trend information PTI1 and second product trend information PTI2) relating to the popularity of a specific product via the Internet, and a product information generation means 12b that generates new product information NPI relating to a new product different from the specific product based on the collected product trend information (first product trend information PTI1 and second product trend information PTI2).

[0015] Details will be given later, but the first product trend information PTI1 is product trend information collected, for example, from word-of-mouth and reviews about a specific product and from social media, while the second product trend information PTI2 is product trend information collected, for example, from websites provided by manufacturers that manufacture specific products or organizations that conduct technical evaluations of specific products.

[0016] According to the product planning system 10, it is possible to predict the popularity of a specific existing product from information about the popularity of that product, and to plan a new product that does not exist in the world based on the trend prediction.

[0017] <System configuration example> Next, an example of the configuration of the product planning system 10 according to this embodiment will be described with reference to Fig. 2. Fig. 2 is a system configuration diagram showing an example of the configuration of the product planning system 10 according to this embodiment.

[0018] The product planning system 10 can be configured, for example, to include a system terminal 12 that controls the entire system, and multiple external terminals 14 that are connected to the system terminal 12 via a network NW so that they can communicate with each other.

[0019] The system terminal 12 is a terminal that controls the entire product planning system 10, and is configured as a conventionally known server, personal computer, etc. In this example, the system terminal 12 is configured as one server, but it may be configured as multiple servers, personal computers, etc. The hardware configuration of the system terminal 12 and the programs executed by the system terminal 12 will be described later.

[0020] The external terminal 14 is a terminal that serves as an information source for collecting product trend information related to the popularity of a specific product, and is composed of a server, a personal computer, a smartphone, etc. located in Japan or overseas. The type of the external terminal 14 is not particularly limited, but examples thereof include a smartphone, a personal computer, a tablet used by an individual, a server managed by a public institution such as a country or government, a server managed by a company that sells a specific product, a server managed by a company that transmits information about a specific product, a server managed by a manufacturer that produces a specific product, and a server managed by an organization that performs technical evaluation of a specific product.

[0021] The network NW is a line that allows the system terminal 12 and the external terminal 14 to communicate with each other, and is typically configured as a WAN (Wide Area Network), also known as the Internet. The network NW may be wired or wireless, may be a LAN (Local Area Network), may be a dedicated line such as a VPN (Virtual Private Network), or may be a combination of these lines.

[0022] <System terminal / hardware configuration example> Next, an example of the hardware configuration of the system terminal 12 will be described.

[0023] As shown in FIG. 2, the system terminal 12 is configured to include, for example, a CPU 21, a ROM 22, a RAM 23, an external storage drive 25, a storage device 26, an input device 27, a display device 28, a communication unit 29, etc., all of which are connected to the CPU 21 via a bus.

[0024] The CPU 21 is a control means that controls the entire system terminal 12, and performs processes such as executing application programs and operating systems (OS) stored in the ROM 22, storage device 26, etc., and storing data, files, etc. required for program execution in the RAM 23, storage device 26, etc.

[0025] The ROM 22 is a storage means for storing basic I / O programs and various data, and is configured, for example, by a PROM, flash memory, etc. The RAM 23 is a storage means for temporarily storing data, and is configured, for example, by an SDRAM, DRAM, etc. The external storage drive 25 is a control means capable of reading and writing data from and to a recording medium 24 such as a magnetic tape or DVD, and is configured, for example, by a magnetic tape storage, DVD drive, etc.

[0026] The storage device 26 is a storage means for storing application programs, OS, control programs, related programs, various information, etc., and is configured, for example, by a hard disk (HDD), solid state drive (SDD), etc. The input device 27 is used to input commands (instructions) etc. to the system terminal 12, and is configured, for example, by a keyboard, a pointing device (mouse, etc.), a touch panel, etc.

[0027] The display device 28 displays commands input by the input device 27, response outputs from the system terminal 12 to the commands, various displays, etc., and is configured, for example, by a liquid crystal display, a plasma display, an organic EL display, etc. The communication unit 29 is control means for controlling communication with the external terminal 14, etc. via the network NW, and is configured, for example, by a communication card, etc.

[0028] <Management terminal / function> Next, the functions of the system terminal 12 will be described.

[0029] The storage device 26 of the system terminal 12 stores a program (product planning program) that causes the system terminal 12 to function as a product information collecting means 12a and a product information generating means 12b.

[0030] <Management terminal / function / product information collection method> Next, the product information collecting means 12a will be described.

[0031] The product information collecting means 12a is a means for collecting product trend information relating to the popularity of specific products via the network NW, and in this example is configured by a program stored in the storage device 26 of the system terminal 12, etc.

[0032] Here, "product trend information" refers to information relating to product trends. In this example, the product trend information collected includes first product trend information PTI1 collected from word-of-mouth and reviews of specific products, and second product trend information PT2 collected from websites provided by manufacturers of specific products or websites provided by organizations that conduct technical evaluations of specific products.

[0033] The product information collecting means 12a executes a first product trend information collecting process for collecting first product trend information PTI1 via the network NW, and a second product technical information collecting process for collecting second product trend information PTI2 via the network NW.

[0034] <Management terminal / function / product information collection means / first product trend information collection process> Next, the first product trend information collection process executed by the product information collection means 12a will be described.

[0035] The first product trend information collection process is a process of collecting first product trend information PTI1 from an external terminal 14 via a network NW, and the first product trend information PTI1 is information regarding the trend of a specific product collected from articles, blogs, SNS, etc. on the web.

[0036] The product information collection means 12a periodically crawls a plurality of external terminals 14 connected to the network NW, collects text data and image data from these plurality of external terminals 14, and acquires the product name (product name) and the first product trend information PTI1 corresponding to this product from the collected text data and image data.

[0037] The first product trend information PTI1 includes temporal trend information, personal trend information, geographical trend information, economic trend information, etc. Temporal trend information is trend information that uses terms representing time as indicators of trends, such as the year before last, last year, this year, next year, the year after next, last month, this month, next month, spring, summer, fall, winter, year-end, New Year, year, month, day, and zodiac sign. Personal trend information is trend information that uses terms related to people as indicators of trends, such as young people, middle-aged and elderly people, men, women, Generation Z, baby boomers, teenagers, and people in their twenties.

[0038] Geographical trend information is trend information that uses countries or regions as indicators of trends, such as Japan, Asia, North America, South America, Europe, etc. Economic trend information is trend information that uses economic terms as indicators of trends, such as economic trends, stock price and exchange rate changes, consumption index, unemployment rate, crude oil price, etc.

[0039] Examples of text data and image data collected from the external terminal 14 by the first product trend information collection process include the following data.

[0040] Temporal trend information contained in word-of-mouth and reviews written in articles and blogs provided by the external terminal 14, and temporal trend information contained in SNS messages, emails, etc. sent and received between the external terminals 14 (for example, text data such as "△ was popular in XX," "XX is popular this year," "XX is likely to be popular next year," "XX will be popular in the summer," "XX is popular among young people," etc.) Personal trend information contained in word-of-mouth and reviews written in articles and blogs provided by the external terminal 14, and personal trend information contained in SNS messages, emails, etc. sent and received between the external terminals 14 (for example, text data such as "XX is popular among middle-aged and elderly people," "XX is likely to become popular among young people," and "△ is popular among men"). Geographical trend information contained in word-of-mouth and reviews written in articles and blogs provided by the external terminal 14, and geographical trend information contained in SNS messages, emails, etc. sent and received between the external terminals 14 (for example, text data such as "XX is popular in Japan," "XX is likely to become popular in North America," "△ is popular in Asia," etc.) Economic trend information contained in word-of-mouth and reviews written in articles and blogs provided by the external terminal 14, and economic trend information contained in SNS messages, emails, etc. sent and received between the external terminals 14 (for example, text data such as "XX is popular because the economy is bad" or "XX is likely to become popular because crude oil prices are rising"). The first product trend information PTI1 obtained from the collected text data and image data includes temporal trend information of a specific product (e.g., product A was popular in XX year), human trend information of a specific product (e.g., product B was popular among men), geographical trend information of a specific product (e.g., product C was popular in Asia), and economic trend information of a product (e.g., product D became popular due to rising crude oil prices).

[0041] Next, the product information collecting means 12a ranks the collected first product trend information PTI1. For example, if there is a large number of product trend information items (for example, if the product trend information is posted in multiple articles or SNS), or if the product trend information is highly reliable (for example, if the product trend information is posted on the website of a well-known company), the ranking is high.

[0042] On the other hand, if there are few pieces of product trend information (for example, if the product trend information is published in one article) or if the reliability of the product trend information is low (for example, if the product trend information is published in a personal blog), the ranking will be low.

[0043] Next, the product information collecting means 12a classifies the acquired product names by category, and extracts from the collected first product trend information PTI1 the first product trend information PTI1 that is ranked higher than a predetermined rank (i.e., has a relatively large number of cases or is relatively reliable), and then classifies the extracted first product trend information PTI1 into one or more categories, associates them with the product names, and stores them in the storage device 26.

[0044] The system may be configured to extract and store all of the collected first product trend information PTI1 without ranking the collected first product trend information PTI1, or to extract and store only first product trend information PTI1 that is ranked lower than a predetermined rank (i.e., relatively few cases or relatively low reliability), or to randomly extract and store first product trend information PTI1.

[0045] Here, product categories include, for example, beauty and health, bags, toys and games, vehicles and parts, food and beverages, home appliances, fashion and accessories, furniture, cameras and optical equipment, sporting goods, arts and entertainment, pet supplies, baby products, software, office supplies, etc. It goes without saying that product categories are not limited to these examples.

[0046] FIG. 3(a) is a diagram showing an example of the first product trend information PTI1 stored in the storage device 26. As shown in FIG.

[0047] The first product trend information collection process classifies the product names "Lipstick A," "Lipstick B," "Lip balm C," and "Moisturizer D" obtained from the external terminal 14 into the category "Beauty and Health," and categorizes the multiple types of first product trend information PTI1 extracted in relation to these into four types of product trend information 1 to 4, which are stored in the storage device 26 in association with the product names "Lipstick A," "Lipstick B," "Lip balm C," and "Moisturizer D."

[0048] In this example, the storage device 26 stores product trend information 1 (popular in 2022) and product trend information 3 (sells in summer) associated with the product "Lipstick A," product trend information 2 (popular in Asia) and product trend information 4 (popular among middle-aged and elderly people) associated with the product "Lipstick B," product trend information 1 (popular in 2024) and product trend information 2 (popular in Asia) associated with the product "Lip balm C," and product trend information 3 (sells in winter) and product trend information 4 (popular among men) associated with the product "Moisturizer D."

[0049] <Management terminal / function / product information collection means / second product trend information collection process> Next, the second product trend information collection process executed by the product information collection means 12a will be described.

[0050] The second product trend information collection process is a process of collecting second product trend information PTI2 from an external terminal 14 via the network NW, and the second product trend information PTI2 is information regarding the popularity of a specific product on the web provided by manufacturers of specific products, organizations that conduct technical evaluations, etc.

[0051] The product information collection means 12a periodically crawls a plurality of external terminals 14 connected to the network NW, collects text data and image data from these plurality of external terminals 14, and acquires the product name (product name) and second product trend information PTI2 corresponding to this product from the collected text data and image data.

[0052] The second product trend information PTI2 includes information on the novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, design, and the like of the product.

[0053] Examples of text data and image data that the second product trend information collection process collects from the external terminal 14 include product novelty (e.g., the world's best XX, Japan's best XX, cutting-edge XX, patented XX, etc.), quality (e.g., high-quality XX, XX in need of quality improvement, etc.), safety (e.g., XX with high / low safety, etc.), durability (e.g., XX with excellent durability, XX with durability issues, etc.), practicality (e.g., XX with high / low practicality, etc.), workability (e.g., XX with good / poor workability, etc.), reliability (e.g., XX with high / low reliability, etc.), convenience (e.g., XX with high / low convenience, etc.), productivity (e.g., XX with high / low productivity, etc.), ease of manufacture (e.g., XX that is easy to mass-produce, XX that is difficult to manufacture, etc.), design (e.g., XX with high / low design, etc.).

[0054] Next, the product information collecting means 12a evaluates the collected second product trend information PTI2. For this evaluation, an evaluation value is used that is high when the technical capability is high (for example, when there is novelty, high quality, high safety, high durability, high practicality, good workability, high reliability, convenience, high productivity, and good design), and is low when the technical capability is low (for example, when there is little novelty, low quality, low safety, low durability, low practicality, poor workability, low reliability, convenience, low productivity, and good design).

[0055] Next, the product information collection means 12a classifies the acquired product names by category, and extracts second product trend information PTI2 that has a higher evaluation than a predetermined evaluation (i.e., has relatively high technical ability) from the collected second product trend information PTI2, and then classifies the extracted second product trend information PTI2 and stores it in the storage device 26 in association with the product name.

[0056] The system may be configured to extract and store all second product trend information PTI2 without evaluating the collected second product trend information PTI2, or to extract and store only second product trend information PTI2 that is rated lower than a predetermined rating (i.e., has relatively low technical ability), or to randomly extract and store second product trend information PTI2.

[0057] FIG. 4(a) is a diagram showing an example of the second product trend information PTI2 stored in the storage device 26. As shown in FIG.

[0058] The second product trend information collection process classifies the product names "Passenger Car L," "Truck M," "Truck N," and "Airplane O" obtained from the external terminal 14 into the category "Vehicles and Parts," and classifies the extracted second product trend information PTI2 into four types of product trend information 1 to 4, and stores them in the storage device 26 in association with the product names "Passenger Car L," "Truck M," "Truck N," and "Airplane O."

[0059] In this example, storage device 26 stores product trend information 1 (improved fuel efficiency) and product trend information 4 (improved soundproofing) associated with the product name "Passenger car L," product trend information 1 (improved fuel efficiency) and product trend information 2 (improved strength) associated with the product name "Truck M," product trend information 3 (improved safety) and product trend information 4 (new noise reduction technology) associated with the product name "Truck N," and product trend information 1 (improved fuel efficiency) and product trend information 2 (patent obtained for durability) associated with the product name "Airplane O."

[0060] Note that the product trend information 2 associated with the product name "Truck M" is "Improved strength," while the product trend information 2 associated with the product name "Airplane O" is "Patent obtained for durability." Although the expressions as second product trend information PTI2 are different, both express "high strength and durability," and in this example, they are classified as similar product trend information and are the same product trend information 2.

[0061] Furthermore, the product trend information 4 associated with the product name "Passenger car L" is "Improved soundproofing," while the product trend information 4 associated with the product name "Truck N" is "New technology for noise reduction." Although the expressions used as second product trend information PTI2 are different, both express "high soundproofing," and in this example, they are classified as similar product trend information and are the same product trend information 4.

[0062] <Management terminal / function / product information generation means> Next, the product information generating means 12b will be described.

[0063] The product information generation means 12b is a means for generating new product information NPI regarding new products different from specific products based on a combination of first product trend information collected from the external terminal 14 via the network NW, and in this example is configured by a program (generation AI module) stored in the memory device 26 of the system terminal 12, etc.

[0064] <Combination of management terminal / function / product information generating means / first product trend information> The product information generating means 12b refers to the first product trend information PTI1 collected by the product information collecting means 12a from the external terminal 14, and generates new product information NPI relating to new products based on a combination of these.

[0065] Here, there are three possible combinations of the first product trend information PTI1: (1) a combination of the same product and different trend information, (2) a combination of different products and the same trend information, and (3) a combination of different products and different trend information.

[0066] "Identical products" refer to products that belong to the same or similar range, and "different products" refer to products that do not belong to the same or similar range. "Identical trend information" refers to trend information that belongs to the same or similar range, and "different evaluations" refers to trend information that does not belong to the same or similar range.

[0067] For example, consider a case where the product information collecting means 12a collects first product trend information PTI1 from the external terminal 14 and generates the first product trend information PTI1 shown in FIG. 3(a).

[0068] When the product information generation means 12b refers to the first product trend information PTI1 shown in Figure 3(a) and generates new product information NPI based on a "combination of the same product and different trend information," for example, as shown in Figure 3(b), new product information NPI (lipstick A + lipstick B + trend in 2022 + trend in Asia) for a new product E that is different from "lipstick A" and "lipstick B" is generated based on the first product evaluation information PTI1, which includes the same products "lipstick A" and "lipstick B" and the different trend information "trend in 2022" and "trend in Asia."

[0069] Furthermore, when the product information generation means 12b references the first product trend information PTI1 shown in Figure 3(a) and generates new product information NPI based on the "combination of different products and the same trend information," for example, as shown in Figure 3(c), new product information NPI (lipstick A + lip balm C + trend in Asia) for a new product F that is different from "lipstick A" and "lip balm C" is generated based on the first product trend information PTI1 of different products "lipstick A" and "lip balm C" and the same trend information "trend in Asia."

[0070] Furthermore, when the product information generation means 12b references the first product evaluation information PTI1 shown in Figure 3(a) and generates new product information NPI based on the "combination of different products and different trend information," for example, as shown in Figure 3(d), new product information NPI (lip cream C + moisturizer D + popular with young people + sells in winter) for a new product G that is different from "lip cream C" and "moisturizer D" is generated based on the first product trend information PTI1, which includes different products "lip cream C" and "moisturizer D" and different trend information "popular with young people" and "sells in winter."

[0071] According to this example, it is possible to create new products by using the new product information NPI generated based on the combination of the first product trend information PTI1 as a hint, and it is possible to predict the popularity of a specific existing product from information about the popularity of that product, and to plan new products that do not exist in the world based on the trend prediction.

[0072] <Combination of management terminal / function / product information generation means / second product trend information> The product information generating means 12b refers to the second product trend information PTI2 collected by the product information collecting means 12a from the external terminal 14, and generates new product information NPI relating to new products based on a combination of these.

[0073] Here, there are three possible combinations of the second product trend information PTI2: (1) a combination of the same product and different trend information, (2) a combination of different products and the same trend information, and (3) a combination of different products and different trend information.

[0074] "Identical products" refer to products that belong to the same or similar range, and "different products" refer to products that do not belong to the same or similar range. "Identical trend information" refers to trend information that belongs to the same or similar range, and "different evaluations" refers to trend information that does not belong to the same or similar range.

[0075] For example, consider a case where the merchandise information collecting means 12a collects second popular merchandise information PTI2 from the external terminal 14 and generates second popular merchandise information PTI2 shown in FIG. 4(a).

[0076] When the product information generation means 12b refers to the second product trend information PTI2 shown in Figure 4(a) and generates new product information NPI based on a "combination of the same product and different trend information," for example, as shown in Figure 4(b), new product information NPI (Truck M + Truck N + improved fuel efficiency + improved safety) for a new product P that is different from "Truck M" and "Truck N" is generated based on the second product trend information PTI2 for the same products "Truck M" and "Truck N" and the different trend information "improved fuel efficiency" and "improved safety."

[0077] Furthermore, when the product information generation means 12b refers to the second product technical information PTI2 shown in Figure 4(a) and generates new product information NPI based on the "combination of different products and the same trend information," for example, as shown in Figure 4(c), new product information NPI (passenger car L + airplane O + improved fuel efficiency) for a new product Q that is different from "passenger car L" and "airplane O" is generated based on the second product trend information PTI2, which is a combination of different products "passenger car L" and "airplane O" and the same trend information "improved fuel efficiency."

[0078] Furthermore, when the product information generation means 12b refers to the second product trend information PTI2 shown in Figure 4(a) and generates new product information NPI based on a "combination of different products and different trend information," for example, as shown in Figure 4(d), new product information NPI (truck M + airplane O + new noise reduction technology + patent obtained for durability) for a new product R that is different from "truck M" and "airplane O" is generated based on the second product trend information PTI2, which includes the different products "truck M" and "airplane O" and the different trend information "new noise reduction technology" and "patent obtained for durability."

[0079] According to this example, it is possible to create new products by using the new product information NPI generated based on the combination of the second product trend information PTI2 as a hint, and to predict the popularity of a specific existing product from information about the popularity of that product, and to plan new products that do not exist in the world based on the trend prediction.

[0080] In the above embodiment, an example is shown in which new product information NPI is generated based on a combination of first product trend information PTI1, and an example is shown in which new product information NPI is generated based on a combination of second product trend information PTI2, but the present invention is not limited to this, and new product information NPI may also be generated based on a combination of first product trend information PTI1 and second product trend information PTI2.

[0081] For example, consider a case where the product information collection means 12a collects first product trend information PTI1 and second product trend information PTI2 from the external terminal 14 and generates the first product trend information PTI1 and second product trend information PTI2 shown in Figure 5(a).

[0082] When the product information generation means 12b references the first product trend information PTI1 and the second product trend information PTI2 shown in Figure 5(a) and generates new product information NPI based on "the combination of the same product and the first product trend information and second product trend information for that product," for example, as shown in Figure 5(b), new product information NPI (lipstick A + lipstick A + summer sale + patented technology) for a new product H, which is different from "lipstick A" and "lipstick B," is generated based on the first product trend information PTI1 that "lipstick A" will "sell in summer" and the second product technology information PTI2 that "lipstick B" is "patented technology."

[0083] Furthermore, when the product information generation means 12b references the first product trend information PTI1 and second product trend information PTI2 shown in Figure 5(a) and generates new product information NPI based on "a combination of a different product and the first product trend information and second product trend information for that product," for example, as shown in Figure 5(c), new product information NPI (moisturizer D + lip balm C + improved moisturizing power + popular in Asia) is generated for a new product I that is different from "moisturizer D" and "lip balm C" based on the second product trend information PTI2 that "improves moisturizing power" for "moisturizer D" and the first product trend information PTI1 that "lip balm C" is "popular in Asia."

[0084] According to this example, it is possible to create new products using the new product information NPI generated based on a combination of the first product trend information PTI1 and the second product trend information PTI2 as a hint, and to predict the popularity of a specific existing product from information about the popularity of that product, and to plan new products that do not exist in the world based on the trend prediction.

[0085] <Product Planning System / Summary> As described above, the product planning system according to this embodiment (for example, product planning system 10 shown in FIGS. 1 and 2) comprises product information collection means (for example, product information collection means 12a shown in FIGS. 1 and 2) that collects product trend information related to the popularity of a specific product via the Internet (for example, first product trend information PTI1 and second product trend information PTI2 shown in FIGS. 1 to 5), and product information generation means (for example, product information generation means 12b shown in FIGS. 1 and 2) that generates new product information related to a new product different from the specific product (for example, new product information NPI shown in FIGS. 1 to 5) based on the collected product trend information, wherein the product trend information includes first product trend information collected from word-of-mouth reviews and ratings about the specific product and from social networking sites, and second product trend information collected from websites provided by manufacturers of the specific products or websites provided by organizations that perform technical evaluations of the specific products.

[0086] The product planning system of this embodiment makes it possible to create new products, predict the popularity of specific existing products based on information about the popularity of those products, and plan new products that do not exist in the world based on the trend predictions.

[0087] Furthermore, the specific product may include a first product (e.g., lip balm C shown in FIG. 3(d)) and a second product (e.g., moisturizer D shown in FIG. 3(d)) that is not in the same or similar range as the first product, and the product information generation means may generate the new product information based on a combination of the first product trend information (e.g., "popular among young people" shown in FIG. 3(d)) or the second product trend information of the first product, and the first product trend information or the second product trend information (e.g., "sells well in winter" shown in FIG. 3(d)) of the second product.

[0088] With this configuration, new product information can be generated based on a combination of different products, and unexpected and novel products can be planned.

[0089] The product information generating means may generate the new product information based on a combination of the first product evaluation information (e.g., first product trend information 1-4 shown in FIG. 3(a)), a combination of the second product technical information (e.g., second product trend information 1-4 shown in FIG. 4(a)), and a combination of the first product evaluation information and the second product technical information (e.g., first product trend information 1-2 and second product trend information 1-2 shown in FIG. 5(a)).

[0090] With this configuration, it is possible to increase the variety of new product information to be generated, and to plan a number of new products that do not exist in the world.

[0091] Furthermore, the product planning method according to this embodiment (for example, a method executed by the product planning system 10 shown in FIGS. 1 and 2) may comprise a product information collection step (for example, processing executed by the product information collection means 12a shown in FIGS. 1 and 2) of collecting product trend information related to the popularity of a specific product via the Internet (for example, first product trend information PTI1 and second product trend information PTI2 shown in FIGS. 1 to 5), and a product information generation step (for example, processing executed by the product information generation means 12b shown in FIGS. 1 and 2) of generating new product information related to a new product different from the specific product (for example, new product information NPI shown in FIGS. 1 to 5) based on the collected product trend information, wherein the product trend information includes first product trend information collected from word-of-mouth reviews and ratings about the specific product and from social networking sites, and second product trend information collected from websites provided by manufacturers of the specific products or websites provided by organizations that perform technical evaluations of the specific products.

[0092] According to the product planning method of this embodiment, it is possible to create new products, predict the popularity of a specific existing product from information about the popularity of that product, and plan new products that do not exist in the world based on the trend prediction.

[0093] Furthermore, the product planning program according to this embodiment (for example, a program executed by product planning system 10 shown in FIGS. 1 and 2) causes a computer (for example, system terminal 12 shown in FIGS. 1 and 2) to function as product information collection means (for example, product information collection means 12a shown in FIGS. 1 and 2) that collects product trend information related to the popularity of a specific product via the Internet (for example, first product trend information PTI1 and second product trend information PTI2 shown in FIGS. 1 to 5), and product information generation means (for example, product information generation means 12b shown in FIGS. 1 and 2) that generates new product information related to a new product different from the specific product (for example, new product information NPI shown in FIGS. 1 to 5) based on the collected product trend information, wherein the product trend information includes first product trend information collected from word-of-mouth reviews and ratings about the specific product and from social networking sites, and second product trend information collected from websites provided by manufacturers of the specific products or websites provided by organizations that perform technical evaluations of the specific products.

[0094] The product planning program of this embodiment makes it possible to create new products, predict the popularity of specific existing products based on information about the popularity of those products, and plan new products that do not exist in the world based on the trend predictions.

[0095] Furthermore, the product planning generation AI (for example, the product information generation means 12b shown in Figures 1 and 2) provided in the product planning system of this embodiment is a product planning generation AI that causes a computer to function so as to generate new product information (for example, the new product information NPI shown in Figures 1 to 5) about a new product different from the specific product based on product trend information about the popularity of the specific product collected via the Internet (for example, the first product trend information PTI1 and the second product trend information PTI2 shown in Figures 1 to 5), characterized in that the product trend information includes first product trend information collected from word-of-mouth and reviews about the specific product and from social networking sites, and second product trend information collected from websites provided by manufacturers of the specific products or websites provided by organizations that conduct technical evaluations of the specific products.

[0096] The generation AI provided in the product planning system of this embodiment makes it possible to create new products, predict the popularity of specific existing products based on information about the popularity of those products, and plan new products that do not exist in the world based on the trend predictions.

[0097] It should be noted that the product planning system, product planning method, product planning program, and product planning generation AI according to the present invention are not limited to the above-described embodiments, and various modifications can be made within the scope of the gist of the present invention.

[0098] Therefore, for example, in the above embodiment, an example was shown in which the product information generation means 12b was configured as a program (generation AI module) provided in the product planning system 10, but the corresponding program may also be implemented in a separate server (generation AI server), and this generation AI server and the system terminal 12 may be connected via a network NW so that they can communicate with each other to configure the product planning system 10. [Industrial Applicability]

[0099] The product planning system, product planning method, product planning program, and product plan generation AI according to the present invention can be widely applied to product planning, proposal, development, etc. in the manufacturing, service, retail, and other industries. [Explanation of symbols]

[0100] 10 Product Planning System 12 System Terminal 12a Product information collection methods 12b Product information generation means 14 External Terminal 21 CPU 22 ROM 23 RAM 24 Recording media 25 External Storage Drive 26 Storage device 27 Input Devices 28 Display device 29 Communications Department NPI new product information PTI1 First Product Trend Information PTI2 Second Product Trend Information

Claims

1. a product information collecting means for collecting product trend information relating to the popularity of specific products via the Internet; and a product information generating means for generating new product information relating to new products different from the specific products based on the collected product trend information, The product trend information includes first product trend information collected from word-of-mouth, reviews, and social networking sites (hereinafter referred to as "first information source") regarding the specific product, and second product trend information collected from an external website provided by a manufacturer of the specific product (hereinafter referred to as "second information source") or an external website provided by an organization that performs technical evaluation of the specific product (hereinafter referred to as "third information source"); The first product trend information includes trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, the second product trend information includes information regarding novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product; the product information collecting means periodically collects the first product trend information, ranks the collected first product trend information, and is capable of extracting the first product trend information having a higher rating than a predetermined rating; the product information collecting means periodically collects the second product trend information, and is capable of extracting, from the collected second product trend information, the second product trend information having a higher rating than a predetermined rating; the product information collection means associates the product name of the specific product with the extracted first product trend information and stores the same in a storage means, and also associates the product name of the specific product with the extracted second product trend information and stores the same in a storage means; The product information generating means referencing the first commodity trend information of the two kinds of commodities acquired from the first information source, and if the first commodity trend information of the two kinds of commodities is the same, generating information consisting of the commodity names of the two kinds of commodities and the first commodity trend information of these commodities as the new commodity information; refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information; A product planning system characterized by:

2. 2. The product planning system according to claim 1, the product information generation means refers to a first product corresponding to the first product trend information acquired from the first information source and a second product corresponding to the second product trend information acquired from the second information source or the third information source, and when the first product and the second product are of the same type, generates, as the new product information, information consisting of the product names of the first product and the second product, the first product trend information of the first product, and the second product trend information of the second product; A product planning system characterized by:

3. 3. The product planning system according to claim 1, the product information collecting means ranks the collected first product trend information and extracts only the first product trend information having a lower rating than a predetermined rating, or randomly extracts the first product trend information from the collected first product trend information; the product information collecting means extracts only the second product trend information having a lower rating than a predetermined rating from the collected second product trend information, or randomly extracts the second product trend information from the collected second product trend information; A product planning system characterized by:

4. a product information gathering step in which the computer gathers product trend information relating to the popularity of a specific product via the Internet; a product information generating step of generating new product information relating to new products different from the specific products based on the collected product trend information by the computer; The product trend information includes first product trend information collected from word-of-mouth, reviews, and social networking sites (hereinafter referred to as "first information source") regarding the specific product, and second product trend information collected from an external website provided by a manufacturer of the specific product (hereinafter referred to as "second information source") or an external website provided by an organization that performs technical evaluation of the specific product (hereinafter referred to as "third information source"); The first product trend information includes trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, the second product trend information includes information regarding novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product; the product information collecting step periodically collects the first product trend information, ranks the collected first product trend information, and extracts the first product trend information having a higher rating than a predetermined rating; the product information collecting step periodically collects the second product trend information, and is capable of extracting, from the collected second product trend information, the second product trend information having a higher rating than a predetermined rating; the product information collecting step includes storing in a storage means the product name of the specific product and the extracted first product trend information in association with each other, and storing in a storage means the product name of the specific product and the extracted second product trend information in association with each other, The product information generating step includes: referencing the first commodity trend information of the two kinds of commodities acquired from the first information source, and if the first commodity trend information of the two kinds of commodities is the same, generating information consisting of the commodity names of the two kinds of commodities and the first commodity trend information of these commodities as the new commodity information; refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information; A product planning method comprising:

5. 5. The product planning method according to claim 4, the product information generating step refers to a first product corresponding to the first product trend information acquired from the first information source and a second product corresponding to the second product trend information acquired from the second information source or the third information source, and, if the first product and the second product are of the same type, generates, as the new product information, information consisting of product names of the first product and the second product, first product trend information for the first product, and second product trend information for the second product; A product planning method comprising:

6. 6. The product planning method according to claim 4 or 5, The product information collecting step ranks the collected first product trend information and extracts only the first product trend information having a lower rating than a predetermined rating, or randomly extracts the first product trend information from the collected first product trend information; the product information collecting step extracts only the second product trend information having a lower rating than a predetermined rating from the collected second product trend information, or randomly extracts the second product trend information from the collected second product trend information; A product planning method comprising:

7. Computer, a product information collecting means for collecting product trend information relating to the popularity of specific products via the Internet; a product planning program that functions as a product information generating means for generating new product information regarding a new product different from the specific product based on the collected product trend information, The product trend information includes first product trend information collected from word-of-mouth, reviews, and social networking sites (hereinafter referred to as "first information source") regarding the specific product, and second product trend information collected from an external website provided by a manufacturer of the specific product (hereinafter referred to as "second information source") or an external website provided by an organization that performs technical evaluation of the specific product (hereinafter referred to as "third information source"); The first product trend information includes trend information using time-representing terms as trend indicators, trend information using people-related terms as trend indicators, trend information using countries or regions as trend indicators, and trend information using economic terms as trend indicators, the second product trend information includes information regarding novelty, quality, safety, durability, practicality, workability, reliability, convenience, productivity, ease of manufacture, and design of the specific product; the product information collecting means periodically collects the first product trend information, ranks the collected first product trend information, and is capable of extracting the first product trend information having a higher rating than a predetermined rating; the product information collecting means periodically collects the second product trend information, and is capable of extracting, from the collected second product trend information, the second product trend information having a higher rating than a predetermined rating; the product information collection means associates the product name of the specific product with the extracted first product trend information and stores the same in a storage means, and also associates the product name of the specific product with the extracted second product trend information and stores the same in a storage means; The product information generating means referencing the first commodity trend information of the two kinds of commodities acquired from the first information source, and if the first commodity trend information of the two kinds of commodities is the same, generating information consisting of the commodity names of the two kinds of commodities and the first commodity trend information of these commodities as the new commodity information; refer to the second product trend information of the two types of products acquired from the second information source or the third information source, and if the second product trend information of the two types of products is the same, generate information consisting of the product names of the two types of products and the second product trend information of these products as the new product information; A product planning program characterized by:

8. 8. The product planning program according to claim 7, the product information generation means refers to a first product corresponding to the first product trend information acquired from the first information source and a second product corresponding to the second product trend information acquired from the second information source or the third information source, and when the first product and the second product are of the same type, generates, as the new product information, information consisting of the product names of the first product and the second product, the first product trend information of the first product, and the second product trend information of the second product; A product planning program characterized by:

9. 9. The product planning program according to claim 7, the product information collecting means ranks the collected first product trend information and extracts only the first product trend information having a lower rating than a predetermined rating, or randomly extracts the first product trend information from the collected first product trend information; the product information collecting means extracts only the second product trend information having a lower rating than a predetermined rating from the collected second product trend information, or randomly extracts the second product trend information from the collected second product trend information; A product planning program characterized by:

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