Market analysis service method and server for performing same

Abstract

According to an embodiment, a computer-implemented method, by which a market analysis service server connected to a product supplier terminal and a plurality of distributor terminals performs a market analysis service, comprises: (a) a step of receiving product information from the product supplier terminal; (b) a step of transferring the product information to the plurality of distributor terminals authorized by the server; (c) a step of receiving, from each of at least two terminals among the plurality of distributor terminals, market analysis information created on the basis of the product information; and (d) a step of transferring the market analysis information to the product supplier terminal.

Description

Market analysis service method and server performing the same

[0001] The present invention relates to a market analysis service method and a server performing the same.

[0002] In order for distribution, which is a series of processes in which products are produced and supplied to consumers, to proceed smoothly, there is a need for product suppliers who produce and supply products and distributors who distribute products to consumers.

[0003] When product suppliers establish supply plans for their products, knowing expected sales volumes provides information on how much product to produce and when, allowing them to operate their processes more efficiently and optimize inventory management.

[0004] Additionally, if a product supplier can forecast sales volume, it is useful for managing funds because it can predict production costs, inventory costs, etc., and allocate funds appropriately.

[0005] Knowing your projected sales volume is also useful when developing a marketing strategy. For example, you can determine which marketing channels to utilize to sell more products and when to run promotions.

[0006] Additionally, forecasting sales volumes can improve customer service. For example, accurately assessing customer demand can help prevent issues like stockouts or overproduction, and provide seamless customer service.

[0007] Meanwhile, if a market analysis report including information related to these expected sales volumes were prepared by the distributors who will actually distribute the product, the report would be more accurate and reflect the market situation.

[0008] The problem to be solved in one embodiment involves enabling distributors participating in distribution to provide market analysis information on a particular product.

[0009] Additionally, the tasks described above may include generating reports in various formats from the information provided in this manner.

[0010] According to one embodiment, a computer-implemented method for performing a market analysis service by a market analysis service server connected to a product supplier terminal and a distributor terminal includes the steps of: (a) receiving product information from the product supplier terminal; (b) transmitting the product information to a plurality of distributor terminals authorized by the server, wherein the transmitted product information includes product identification information that can specify a product for the market analysis service; (c) receiving market analysis information created based on the product information from each of at least two terminals among the plurality of distributor terminals; and (d) transmitting the market analysis information to the product supplier terminal, wherein the transmitted market analysis information includes (d-1) distribution intention information for the product of the distributor who created the market analysis information and (d-2) distribution expected amount information for the product.

[0011] Additionally, the product information may include compositional specifications of the product and effective specifications of the product.

[0012] Additionally, the above structural specifications may include at least one selected from the group consisting of the classification of the product, the components of the product, the size of the product, the weight of the product, the design of the product, and the brand of the product.

[0013] Additionally, the effective specifications may include at least one selected from the group consisting of the selling point of the product, the purpose of the product, the effect of the product, the performance of the product, and the approval of the product.

[0014] Additionally, the above product information may include information on the development stage of the above product.

[0015] Additionally, if the development stage of the above product is below a predetermined stage, the transmission of the above product information may be restricted.

[0016] Additionally, market analysis information may include market status information for the above products.

[0017] Additionally, the market status information may include at least one selected from the group consisting of (i) market size, (ii) market sector, (iii) market growth rate, (iv) country-specific competitor information, and (v) licensing information for the product.

[0018] Additionally, the above market status information may be market status information for the region, country, or continent where the distributor terminal that transmitted the above market analysis information is located.

[0019] Additionally, the above market analysis information may include sales strategies for the above products.

[0020] Additionally, the above sales strategy may include improvement requests for the above product.

[0021] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of filtering out incorrect information (misinformation) and / or false information (disinformation) among the contents included in the market analysis information.

[0022] Additionally, the step of filtering out the above misinformation and / or disinformation may be performed according to predetermined statistical numerical criteria.

[0023] Additionally, the above predetermined statistical figures may be determined based on the past distribution performance of the distributor.

[0024] Additionally, the step of filtering out the above misinformation and / or disinformation can be performed by a language comparison model.

[0025] Additionally, the above language comparison model can be learned using past market analysis information transmitted from the distributor terminal.

[0026] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of integrating the market analysis information to generate a market analysis report.

[0027] In addition, the method may further include a step of receiving a distribution application for the product from the product supplier terminal.

[0028] In addition, the method may further include a step of transmitting a distribution instruction for the product to at least one of the plurality of distributor terminals selected based on the market analysis information.

[0029] Additionally, the step of receiving a distribution application for the above product may include a step of receiving a production plan for the above product from the product supplier.

[0030] In addition, the production plan may include at least one selected from the group consisting of (i) the planned production quantity of the product, (ii) the raw material procurement plan of the product, (iii) the supply unit price of the product, (iv) the minimum order quantity of the product, (v) the lead time of supplying the product, (vi) VOC (Voice Of Customer) response information of the product, and (vii) the transportation conditions of the product.

[0031] In addition, the step of transmitting the identification information of the distributor who created the market analysis information to the product supplier terminal may be further included.

[0032] In addition, the step of transmitting author identification information that can distinguish each author of the market analysis information transmitted to the product supplier terminal may be further included.

[0033] In addition, the method may further include a step of receiving evaluation information for each market analysis information distinguished according to the writer identification information from the product supplier terminal.

[0034] In addition, the method further includes a step of transmitting a distribution instruction of the product to at least one of the plurality of distributor terminals selected based on the market analysis information, wherein the distribution instruction can be transmitted to the distributor terminal selected based on the evaluation information.

[0035] In addition, the server may further include a step of being connected to a real-time terminal and instructing the real-time terminal to conduct a real-time investigation on a distributor who created the market analysis information.

[0036] In addition, the server may further include a step of being connected to a real-time terminal and instructing the real-time terminal to conduct a real-time investigation on a distributor who created the market analysis information.

[0037] Additionally, the method may further include a step of monitoring communication related to the investigation communicated between the actual investigation terminal and the distributor receiving the investigation.

[0038] Additionally, the step of providing a guideline including a list of real-world items to the real-world terminal may be further included.

[0039] Additionally, the above guidelines may include due diligence items on the above market analysis information.

[0040] In addition, the step of receiving the results of the above-mentioned investigation from the above-mentioned actual investigation terminal may be further included.

[0041] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of transmitting at least a portion of the results of the investigation to the product supplier terminal.

[0042] In addition, the product information transmitted may not include identification information of the product supplier, and the market analysis information transmitted may not include identification information of the distributor who created the market analysis information. According to one embodiment, a product supplier terminal and a market analysis service server connected to the distributor terminal include a memory storing at least one command; and a processor, wherein the at least one command is executed by the processor to: (a) receive product information from the product supplier terminal; (b) transmit the product information to a plurality of distributor terminals authorized by the server, wherein the transmitted product information includes: (b-1) product identification information that can specify a product for the market analysis service, and (b-2) does not include identification information of the product supplier; (c) receive market analysis information created based on the product information from each of at least two terminals among the plurality of distributor terminals; And (d) transmitting the market analysis information to the product supplier terminal, the market analysis information transmitted includes (d-1) distribution intention information of the distributor who created the market analysis information for the product and (d-2) distribution expected quantity information for the product, and (d-3) does not include identification information of the distributor who created the market analysis information.

[0043] In one embodiment, product suppliers can verify various information produced and processed by distributors.

[0044] Through this, product suppliers can benefit from various areas such as production, accounting, marketing, and customer service, which leads to smooth product supply to distributors and increased added value throughout the entire distribution process.

[0045] FIG. 1 illustrates an example of a market analysis service server and various entities connected to a network according to one embodiment.

[0046] Figure 2 is an exemplary configuration diagram for a server according to one embodiment.

[0047] Figure 3 conceptually illustrates the architecture for deep learning.

[0048] Figure 4 conceptually illustrates the architecture for a convolutional neural network.

[0049] FIG. 5 illustrates an example of a process in which a market analysis service server according to one embodiment transmits information between a product supplier and a distributor.

[0050] Figures 6 and 7 illustrate an example of a market analysis service U / I provided by a product supplier terminal according to one embodiment.

[0051] FIG. 8 illustrates an example of a market analysis service process performed on a market analysis service server according to one embodiment.

[0052] Figure 9 is an exemplary flowchart illustrating a method for performing a market analysis service according to one embodiment.

[0053] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined solely by the scope of the claims.

[0054] When describing embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted if they are deemed to unnecessarily obscure the gist of the invention. Furthermore, the terms described below are defined in light of their functions in the embodiments of the present invention and may vary depending on the intent or custom of the user or operator. Therefore, their definitions should be based on the overall content of this specification.

[0055] FIG. 1 illustrates an example of a market analysis service server and various entities connected to a network according to one embodiment.

[0056] FIG. 1 illustrates, by way of example, a market analysis service server (100) and various entities (200 to 300) connected to a network (400) according to one embodiment. Referring to FIG. 1, the market analysis service server (100), a product supplier terminal (200), and a distributor terminal (300) can communicate with each other via the network (400). The drawing illustrated in FIG. 1 is merely exemplary, and the scope of the present invention is not limited to what is illustrated in FIG. 1.

[0057] Here, the network (400) refers to a wireless or wired network. Among these, in the case of a wireless network, for example, at least one of LTE (long-term evolution), LTE-A (LTE Advance), CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications system), WiBro (Wireless Broadband), WiFi (wireless fidelity), Bluetooth, NFC (near field communication), and GNSS (global navigation satellite system) may be included. In addition, in the case of a wired network, for example, at least one of USB (universal serial bus), HDMI (high definition multimedia interface), RS-232 (recommended standard 232), LAN (local area network), WAN (wide area network), the Internet, and a telephone network may be included.

[0058] The product supplier terminal (200) and distributor terminal (300) are devices designed to provide, use, and provide feedback on information necessary for sharing information using the market analysis service performed by the market analysis service server. Here, the product supplier can supply products typically used in distribution. The products supplied by the product supplier may be manufactured directly by the product supplier or may be obtained from another source. Furthermore, the methods of product production and supply may vary, and in this specification, the product supplier is defined as a person who supplies products procured through any method.

[0059] Information entered by the product supplier terminal may include product information and information regarding the country in which it is intended for distribution. Product information may include product name, product category, product efficacy, product price, product shipping conditions, and VOC (Voice of Customer) response information. Furthermore, product information may be used to identify the product. This information is then relayed to the distributor, who can then use it to conduct more accurate market analysis of the product.

[0060] Additionally, information entered into the product supplier terminal may include information regarding the countries in which the product will be distributed. This allows the product supplier to provide input regarding the countries in which the product will be distributed. The product supplier can input information regarding the countries in which the product will be distributed, taking into account various product supply circumstances. The market analysis service server can then coordinate the market analysis service based on the received information.

[0061] The information entered by the distributor terminal is primarily for checking information about available products and ordering desired products. For example, requests may include product specifications, the country of origin, or the country in which the product is scheduled to be distributed.

[0062] Additionally, information entered into a distributor's terminal may indicate the distributor's intent to distribute a specific product. This intent information indicates whether the distributor wishes to distribute the product. For example, a distributor may receive product information from a server, analyze the information, and, if the distributor wishes to distribute the product, provide the server with information indicating their intent to distribute. At this time, the distributor may transmit various information along with the intent to distribute information. For example, the product's expected distribution volume, expected price, expected sales volume, and expected customer base may be transmitted to the server along with the intent to distribute.

[0063] Meanwhile, information entered into product supplier and distributor terminals can be anything necessary for product supply, including product information and distribution destinations, regardless of format or content. This information may include business information generated by product suppliers and distributors. For example, this business information may include product information, customer base, customer response information, licensing information, sales information, and operating profit information.

[0064] As discussed above, according to one embodiment, users of the market analysis service server can access a variety of information through the server. For example, they can access various business information generated by product suppliers and distributors. Distribution businesses may have other roles beyond product suppliers and distributors. For example, there may be product investigators. Due diligence here refers to the investigators conducting due diligence on product suppliers or distributors. The scope of the investigation may encompass areas necessary to predict whether the product supplier can smoothly supply the product. Furthermore, the investigation may also encompass areas intended to determine the reliability of information provided by distributors. For example, the scope of due diligence can be narrowly defined as product production, product procurement, or product distribution related to product supply / product distribution, or broadly encompass almost all areas related to the company's operations, including the company's capital structure, stocks, shareholders, licenses, assets (real estate, personal property, intellectual property rights, etc.), contracts (sales contracts, financial contracts, etc.), litigation, disputes, human resources, labor, environment, insurance, taxation, financial statements, and financial condition.

[0065] Below, we will look at these servers (100) in more detail.

[0066] FIG. 2 is an exemplary configuration diagram of a server (100) according to one embodiment. Referring to FIG. 2, the server (100) includes a communication unit (110), a memory (120), and a processor (130). However, the configuration diagram illustrated in FIG. 2 is merely exemplary, and the spirit of the present invention is not limited to the configuration diagram illustrated in FIG. 2. For example, the server (100) may include at least one configuration not illustrated in FIG. 2, or may not include at least one of the configurations illustrated in FIG. 2.

[0067] The communication unit (110) can be implemented by a wired or wireless communication module. The server (100) can communicate with an external terminal or server, such as the identification number 200, 300, or 400 illustrated in FIG. 1, through the communication unit (110).

[0068] The memory (120) can be implemented by a medium that stores information. Such a medium may be at least one type of storage medium among a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., SD or XD memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk, but is not limited thereto.

[0069] Various types of information can be stored in this memory (120). For example, information obtained by the server (100) from an external entity (200, 300, 400) through the communication unit (110) can be stored in the memory (120).

[0070] Specifically, the memory (120) can store the status of market analysis information performed by the market analysis service server (100). Furthermore, information not handled by the market analysis service server can also be crawled as public information. Furthermore, the memory (120) can store this shared status in its original form, or, in some cases, can be preprocessed and stored. Preprocessing can include summarizing various types of business information into key information, such as analysis providers, analysis information, and analysis product names. Of course, the types of preprocessing are not limited thereto, and various types of processing that can be performed to store and retrieve documents can be included in this preprocessing.

[0071] Additionally, the memory (120) may store various types of information obtained from the product supplier terminal (200). Specifically, the memory (120) may store information, as described above, that the product supplier (210) inputs in order to share information using an analysis service performed by a market analysis service server.

[0072] Additionally, the memory (120) may store various types of information obtained from the distributor terminal (300). Specifically, the memory (120) may store information, as described above, that the distributor (410) inputs in order to share information using an analysis service performed by a market analysis service server.

[0073] Meanwhile, various types of modules or models may be implemented in the memory (120). When these modules or models are executed by the processor (130) described below, the desired functions are performed. For example, these modules or models may include an information update generation module and an advice module that recommends information to service users based on information input from entities connected to the server.

[0074] At least one of the aforementioned modules or modules may be implemented based on rules or an AI network. Below, we will examine AI networks and the like.

[0075] A model or module in this specification may refer to any form of computer program that operates based on a network function, an artificial neural network, and / or a neural network. Throughout this specification, the terms model, neural network, network function, and neural network may be used interchangeably. A neural network is a network in which one or more nodes are interconnected through one or more links to form input node and output node relationships within the network. The characteristics of a neural network can be determined based on the number of nodes and links within the neural network, the correlation between the nodes and links, and the weight value assigned to each link. A neural network may be composed of a set of one or more nodes. A subset of the nodes constituting the neural network may constitute a layer.

[0076] A deep neural network (DNN) may refer to a neural network that includes multiple hidden layers in addition to an input layer and an output layer. As shown in FIG. 3 as an example of this concept, a deep neural network is composed of one or more, preferably two or more, hidden layers in the middle.

[0077] These deep neural networks can include convolutional neural networks (CNNs), vision transformers, recurrent neural networks (RNNs), long short-term memory (LSTM) networks, generative pre-trained transformers (GPTs), autoencoders, generative adversarial networks (GANs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), Q networks, U networks, Siamese networks, generative adversarial networks (GANs), transformers, etc.

[0078] Alternatively, depending on the embodiment, the deep neural network may be a model trained using transfer learning. Here, transfer learning refers to a learning method in which a large amount of unlabeled training data is pre-trained using a semi-supervised or self-learning method to obtain a pre-trained model (or base) having a first task, and then the pre-trained model is trained using labeled training data using a supervised learning method to fine-tune it to be suitable for a second task, thereby implementing a target model. One of the models trained using this transfer learning method includes, but is not limited to, BERT (Bidirectional Encoder Representations from Transformers).

[0079] In particular, in one embodiment, an artificial intelligence model, specifically a language model, may be used for search, which will be described later.

[0080] The description of the deep neural network described above is only an example, and the present disclosure is not limited thereto. In the case of the convolutional neural network illustrated in FIG. 4, it is composed of a feature extraction unit (feature learning) that extracts features from an image, and a classification unit (classification) that performs classification using the extracted features. The feature extraction unit may include, but is not limited to, a convolution layer that extracts features from an image using a kernel, a ReLU layer as one of the activation functions, and a pooling layer for reducing the dimensionality of the data. In addition, the classification unit may include, but is not limited to, a flatten layer that lines up the features extracted from the feature extraction unit, and a fully connected layer and a softmax function that actually perform classification.

[0081] Neural networks can learn through at least one of the following methods: supervised learning, unsupervised learning, semi-supervised learning, self-supervised learning, or reinforcement learning. Neural network learning can be the process of applying knowledge to the neural network to perform a specific action.

[0082] Neural networks can be trained to minimize output errors. This process involves repeatedly inputting training data into the neural network, calculating the neural network output and target error for the training data, and backpropagating the neural network error from the output layer to the input layer to update the weights of each node in the neural network to reduce the error. In supervised learning, labeled data is used for each training data, while unsupervised learning uses unlabeled data. The amount of change in the connection weights of each updated node can be determined by the learning rate. The neural network's calculation of input data and backpropagation of errors can constitute a learning cycle (epoch). The learning rate can vary depending on the number of iterations in the neural network's training cycle. Additionally, to prevent overfitting, methods such as increasing the learning data, regularization, dropout that disables some nodes, and batch normalization layers can be applied.

[0083] Meanwhile, the model disclosed in one embodiment may borrow at least a portion of a transformer. The transformer may be composed of an encoder that encodes embedded data and a decoder that decodes the encoded data. The transformer may have a structure that receives a series of data, performs encoding and decoding steps, and outputs a series of data of different types. In one embodiment, the series of data may be processed into a form operable by the transformer. The process of processing the series of data into a form operable by the transformer may include an embedding process. Expressions such as data tokens, embedding vectors, and embedding tokens may refer to data embedded in a form operable by the transformer.

[0084] To encode and decode a series of data, a transformer can utilize an attention algorithm to process the encoders and decoders within the transformer. An attention algorithm can refer to an algorithm that, for a given query, calculates the similarity for one or more keys, reflects this similarity in the values ​​corresponding to each key, and then weights and sums the values ​​to which the similarity is reflected to calculate an attention value.

[0085] Depending on how the query, key, and value are configured, various types of attention algorithms can be categorized. For example, if attention is obtained by setting the query, key, and value all to the same value, this could be a self-attention algorithm. If attention is obtained by reducing the dimensionality of the embedding vector to process a series of input data in parallel and then generating individual attention heads for each segmented embedding vector, this could be a multi-head attention algorithm.

[0086] In one embodiment, the transformer may be composed of modules that perform multiple multi-head self-attention algorithms or multi-head encoder-decoder algorithms. In one embodiment, the transformer may also include additional components other than attention algorithms, such as embedding, normalization, and softmax. Methods for constructing a transformer using attention algorithms may include methods disclosed in Vaswani et al., Attention Is All You Need, 2017 NIPS, which is incorporated herein by reference.

[0087] A transformer can be applied to various data domains, such as embedded natural language, segmented image data, and audio waveforms, to transform a series of input data into a series of output data. To transform data with various data domains into a series of data that can be input to a transformer, the transformer can embed the data. The transformer can process additional data that expresses the relative positional relationship or phase relationship between the series of input data. Alternatively, vectors expressing the relative positional relationship or phase relationship between the input data can be additionally reflected in the series of input data to embed the series of input data. In one example, the relative positional relationship between the series of input data may include, but is not limited to, word order within a natural language sentence, the relative positional relationship between each segmented image, and the time order of segmented audio waveforms. The process of adding information expressing the relative positional relationship or phase relationship between the series of input data may be referred to as positional encoding.

[0088] Referring back to FIG. 2, let us examine the processor (130). First, the processor (130) according to one embodiment may perform technical features according to embodiments of the present disclosure, which will be described later, by executing at least one instruction stored in the memory (120). In one embodiment, the processor (130) may be configured with at least one core, and may include a processor for data analysis and / or processing, such as a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU) of the server (100).

[0089] This processor (130) can train a neural network or model designed using machine learning or deep learning methods. To this end, the processor (130) can perform calculations for neural network training, such as processing input data for training, extracting features from the input data, calculating errors, and updating the weights of the neural network using backpropagation.

[0090] Additionally, the processor (130) may perform inference for a predetermined purpose using a model implemented in an artificial neural network manner.

[0091] Hereinafter, let us look at various operations or functions that the server (100) can perform by executing at least one command stored in the memory (120) by the processor (130).

[0092] First, the processor (130) can control the communication unit (110). Through this, the server (100) can obtain information by communicating with various entities (200, 300, 400) illustrated in FIG. 1 through the communication unit (110).

[0093] Additionally, the processor (130) can read the aforementioned data or instructions stored in the memory (120) and record new data or instructions in the memory (120). Furthermore, the processor (130) can modify or delete data or instructions already recorded. This will be discussed in more detail below.

[0094] By executing at least one command stored in the memory (120) by the processor (130), the server (100) receives product information from the product supplier terminal to perform a market analysis service by the market analysis service server connected to the product supplier terminal and the distributor terminal. At this time, the product information can specify the product in question and is information necessary to perform a market analysis service for the product in the future. Here, the product information may include the structural specifications of the product and the effective specifications of the product. In addition, the structural specifications may include at least one selected from the group consisting of the product classification, the product components, the product size, the product weight, the product design, and the product brand. In addition, the effective specifications may include at least one selected from the group consisting of the product's selling point, the product's purpose, the product's effect, the product's performance, and the product's licensing.

[0095] By executing at least one command stored in the memory (120) by the processor (130), the product information is transmitted to a plurality of distributor terminals authorized by the server.

[0096] In this case, "authorized" may refer to a distributor terminal that has been registered with the server through a prescribed process and has been certified. For example, the server may have a process for registering multiple distributors as information providers before performing market analysis services. This process may include, but is not limited to, procedures for institutional registration, information provision, or reliability verification.

[0097] At this time, the product information transmitted includes product identification information that can identify the product for the market analysis service, but does not include the product supplier's identification information. Product identification information is necessary for the distributor receiving the information to conduct market analysis in the future, and the exclusion of the product supplier's identification information prevents the distributor from utilizing any information other than product information in their market analysis. By leveraging the distributor's own distribution capabilities, along with pure product information, objective and transparent distribution forecast information can be generated.

[0098] By executing at least one command stored in the memory (120) by the processor (130), market analysis information created based on the product information is transmitted from at least two terminals among the plurality of distributor terminals. As described above, distributors can utilize product information that excludes product supplier identification information to provide objective and transparent distribution forecast information, such as distribution forecast sales, distribution forecast quantity, and distribution forecast customer groups.

[0099] By executing at least one command stored in the memory (120) by the processor (130), the market analysis information can be transmitted to the product supplier terminal. At this time, the transmitted market analysis information includes information on the distributor's intention to distribute the product and information on the expected distribution volume for the product, and does not include identification information of the distributor who created the market analysis information.

[0100] Here, distribution intent information refers to information indicating whether a distributor wishes to distribute a given product, as described above. Along with distribution intent information, distributors can also transmit distribution forecast information, including expected sales, expected distribution quantity, and expected customer segments. In this case, product suppliers can receive information that does not contain the distributor's identifying information, which can contribute to information objectivity and transparency.

[0101] Additionally, the product information may include compositional specifications of the product and effective specifications of the product.

[0102] Additionally, the above structural specifications may include at least one selected from the group consisting of the classification of the product, the components of the product, the size of the product, the weight of the product, the design of the product, and the brand of the product.

[0103] Additionally, the effective specifications may include at least one selected from the group consisting of the product's selling point, the product's purpose, the product's effects, the product's performance, and the product's licensing. Here, the selling point refers to the product's key features, as perceived by the product supplier, and may be a feature the supplier wishes to emphasize to customers during product distribution.

[0104] Additionally, the product information may include development information describing the product's development stage. That is, even in the development phase, where product implementation is not yet complete, the product can be analyzed and relevant information generated through the market analysis service of the present invention.

[0105] Furthermore, if the development stage of the product is below a predetermined level, the delivery of product information may be limited. Specifically, while the market analysis service of the present invention can be performed in the development stage before product implementation is complete, the insufficient information provided to distributors in the early stages of development may make it difficult to utilize the service.

[0106] Market analysis information may also include market status information for the product. In this case, the market status information may include at least one selected from the group consisting of (i) market size, (ii) market sector, (iii) market growth rate, (iv) country-specific competitor information, and (v) licensing information.

[0107] Additionally, the above market status information may be market status information for the region, country, or continent where the distributor terminal that transmitted the above market analysis information is located.

[0108] Additionally, the above market analysis information may include sales strategies for the above products.

[0109] Additionally, the above sales strategy may include improvement requests for the above product.

[0110] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of filtering out misinformation and / or disinformation contained in the market analysis information. Misinformation refers to errors in information that the information provider is unaware of, while disinformation refers to information provided by the information provider to encourage the information recipient to have a specific perspective. Such misinformation and / or disinformation, if provided to the product supplier, may negatively impact the supplier's business, and therefore requires filtering. Examples related to filtering will be discussed below.

[0111] The filtering of the above-mentioned misinformation and / or disinformation can be performed based on predetermined statistical criteria. These predetermined statistical values ​​may include sales and operating profit recorded by the distributor in the past. In other words, information that differs by a certain amount from the distributor's recorded sales performance may be filtered out.

[0112] Additionally, the predetermined statistical values ​​may be determined based on the distributor's past distribution performance. Furthermore, the step of filtering out misinformation and / or disinformation may be performed by a language comparison model. Furthermore, the language comparison model may be trained using past market analysis information transmitted from the distributor's terminal. That is, a language model that has learned the distributor's past sales strategies may compare the sales strategies included in the market analysis information with the sales strategies previously implemented. If the sales strategies differ by more than a predetermined threshold, the sales strategy may be filtered out.

[0113] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of integrating the market analysis information to generate a market analysis report.

[0114] In addition, the method may further include a step of receiving a distribution application for the product from the product supplier terminal.

[0115] In addition, the method may further include a step of transmitting a distribution instruction for the product to at least one of the plurality of distributor terminals selected based on the market analysis information.

[0116] Additionally, the step of receiving a distribution application for the above product may include a step of receiving a production plan for the above product from the product supplier.

[0117] In addition, the production plan may include at least one selected from the group consisting of (i) the planned production quantity of the product, (ii) the raw material procurement plan of the product, (iii) the supply unit price of the product, (iv) the minimum order quantity of the product, (v) the lead time of supplying the product, (vi) VOC (Voice Of Customer) response information of the product, and (vii) the transportation conditions of the product.

[0118] In addition, the step of transmitting the identification information of the distributor who created the market analysis information to the product supplier terminal may be further included.

[0119] In addition, the step of transmitting author identification information that can distinguish each author of the market analysis information transmitted to the product supplier terminal may be further included.

[0120] In addition, the method may further include a step of receiving evaluation information for each market analysis information distinguished according to the writer identification information from the product supplier terminal.

[0121] In addition, the method further includes a step of transmitting a distribution instruction of the product to at least one of the plurality of distributor terminals selected based on the market analysis information, wherein the distribution instruction can be transmitted to the distributor terminal selected based on the evaluation information.

[0122] In addition, the server may further include a step of being connected to a real-time terminal and instructing the real-time terminal to conduct a real-time investigation on a distributor who created the market analysis information.

[0123] In addition, the server may further include a step of being connected to a real-time terminal and instructing the real-time terminal to conduct a real-time investigation on a distributor who created the market analysis information.

[0124] Additionally, the method may further include a step of monitoring communication related to the investigation communicated between the actual investigation terminal and the distributor receiving the investigation.

[0125] Additionally, the step of providing a guideline including a list of real-world items to the real-world terminal may be further included.

[0126] Additionally, the above guidelines may include due diligence items on the above market analysis information.

[0127] In addition, the step of receiving the results of the above-mentioned investigation from the above-mentioned actual investigation terminal may be further included.

[0128] Additionally, the step of transmitting the market analysis information to the product supplier terminal may include a step of transmitting at least a portion of the results of the investigation to the product supplier terminal.

[0129] A market analysis service server connected to a product supplier terminal and a distributor terminal according to an embodiment comprises a memory storing at least one command; and a processor, wherein the at least one command is executed by the processor to: (a) receive product information from the product supplier terminal; (b) transmit the product information to a plurality of distributor terminals authorized by the server, wherein the transmitted product information includes product identification information that can specify a product for the market analysis service; (c) receive market analysis information created based on the product information from each of at least two terminals among the plurality of distributor terminals; and (d) transmit the market analysis information to the product supplier terminal, wherein the transmitted market analysis information includes (d-1) distribution intention information for the product of the distributor who created the market analysis information and (d-2) distribution expected amount information for the product.

[0130] Hereinafter, the progress of various market analysis services performed using a server (100) according to one embodiment will be examined. However, the following is merely exemplary, and the spirit of the present invention is not limited thereto.

[0131] FIG. 5 illustrates an example of a process in which a market analysis service server according to one embodiment transmits information between a product supplier and a distributor.

[0132] Referring to FIG. 5, the server (100) may receive product information from a product supplier terminal (200) (S1100). At this time, the product information may identify the product and is information necessary for performing future market analysis services for the product. Here, the product information may include the product's structural specifications and effective specifications. Furthermore, the structural specifications may include at least one selected from the group consisting of the product's classification, product components, product size, product weight, product design, and product brand. Furthermore, the effective specifications may include at least one selected from the group consisting of the product's selling point, product purpose, product effect, product performance, and product licensing.

[0133] Next, the server (100) can transmit product information to multiple distributor terminals (301, 302, 303) (S1200). At this time, the distributors transmitting the product information may be authorized distributors. Here, "authorized" refers to distributor terminals that have been registered with the server through a prescribed procedure and are certified. For example, the server may have a procedure for registering multiple distributors as information providers before performing market analysis services. This procedure may be for institutional registration, information provision, or reliability verification, but is not limited thereto.

[0134] At this time, the product information transmitted includes product identification information that can identify the product for the market analysis service, but does not include the product supplier's identification information. Product identification information is necessary for the distributor receiving the information to conduct market analysis in the future, and the exclusion of the product supplier's identification information prevents the distributor from utilizing any information other than product information in their market analysis. By leveraging the distributor's own distribution capabilities, along with pure product information, objective and transparent distribution forecast information can be generated.

[0135] Next, the server (100) may receive market analysis information from at least some of the distributor terminals that transmitted the product information (S1300). Here, the market analysis information is created based on the product information and may include sales intent and / or distribution forecasts for the product. At this time, the market analysis information may be received from some of the distributor terminals that received the product information. In other words, distributors who received the product information may, at their discretion, choose not to transmit the market analysis information.

[0136] Next, the server (100) can transmit market analysis information to the product supplier (S1400). The transmitted market analysis information includes the distributor's distribution intent for the product and the expected distribution volume for the product, but does not include the distributor's identification information. As described above, the distribution intent information refers to information indicating whether the distributor wishes to distribute the product. Along with the distribution intent information, the distributor can transmit expected distribution volume information, including expected distribution sales, expected distribution volume, and expected distribution customer base. In this case, the product supplier can receive information that does not include the distributor's identification information, which can lead to objectivity and transparency of the information.

[0137] FIG. 6 illustrates an example of a market analysis service U / I provided by a product supplier terminal according to one embodiment.

[0138] Referring to FIG. 6, market analysis information (610, 620) generated from multiple distributor terminals is illustrated at a product supplier terminal (200). According to one embodiment, the multiple market analysis information (610, 620) may be generated from each of the multiple distributor terminals using product information transmitted from the product supplier to the distributor via a server, and then transmitted back to the product supplier terminal via the server. This multiple market analysis information may include market analysis information for the same product in the same country. That is, each of the multiple distributors responsible for distribution in the same country may transmit information, including their distribution intentions and expected distribution volume, to the product supplier via the server.

[0139] Meanwhile, the plurality of market analysis information (610, 620) according to one embodiment may each be a complete market analysis report. That is, each market analysis information may include at least one selected from the group consisting of (i) market size, (ii) market sector, (iii) market growth rate, (iv) country-specific competitor information, and (v) licensing information.

[0140] Additionally, the aforementioned market analysis information may include sales strategies for the product. In this case, distributors can propose sales or distribution strategies based on their capabilities to achieve the anticipated distribution volumes they have proposed.

[0141] The sales strategy may also include improvement requests for the product. Based on their understanding of the product information, distributors can request improvements from the product supplier that can promote sales and distribution. For example, distributors can request improvements to the product's design, performance, and composition. The supplier can then review these suggestions and incorporate them into the product.

[0142] FIG. 7 illustrates an example of a market analysis service U / I provided by a product supplier terminal according to one embodiment.

[0143] Referring to FIG. 7, a market analysis service U / I provided by a product supplier terminal according to one embodiment may include regional market analysis information (710, 720). According to one embodiment, a plurality of market analysis information (710, 720) may be generated by each of a plurality of distributor terminals using product information transmitted from a product supplier to a distributor via a server, and then transmitted back to the product supplier terminal via the server. This plurality of market analysis information may include market analysis information for different regions for the same product. That is, a plurality of distributors responsible for distribution in different regions, countries, or continents may transmit information, including their distribution intentions and expected distribution volume, to the product supplier via the server.

[0144] Meanwhile, the plurality of market analysis information (610, 620) according to one embodiment may each be a complete market analysis report. That is, each market analysis information may include at least one selected from the group consisting of (i) market size, (ii) market sector, (iii) market growth rate, (iv) country-specific competitor information, and (v) licensing information.

[0145] Additionally, the aforementioned market analysis information may include sales strategies for the product. In this case, distributors can propose sales or distribution strategies based on their capabilities to achieve the anticipated distribution volumes they have proposed.

[0146] The sales strategy may also include improvement requests for the product. Based on their understanding of the product information, distributors can request improvements from the product supplier that can promote sales and distribution. For example, distributors can request improvements to the product's design, performance, and composition. The supplier can then review these suggestions and incorporate them into the product.

[0147] FIG. 8 illustrates an example of a market analysis service process performed on a market analysis service server according to one embodiment.

[0148] Referring to Figure 8, product information can be transmitted from a supplier terminal to a server (S2100). Next, the product information can be transmitted from the server to a distributor terminal (S2200). Market analysis information generated based on the product information can be transmitted from the distributor terminal to the server (S2300). Meanwhile, although not shown, the server can process the market analysis information received from the distributor. For example, it can filter out information deemed to contain errors and integrate information received from multiple distributors to generate one or more reports. The server can transmit the market analysis information received from the distributor or information processed by the server from the market analysis information to the product supplier (S2400).

[0149] Meanwhile, a product supplier may apply for distribution of the product based on market analysis information or request an on-site inspection of the distributor who prepared the market analysis information (S2500). If the product supplier requests an on-site inspection, the server instructs the on-site inspector's terminal to conduct the inspection (S2600). The inspector's terminal performs the inspection in accordance with the instruction and reports the inspection to the server (S2700). Next, the server transmits the on-site inspection report or information prepared based on the on-site inspection report to the product supplier's terminal (S2800). The transmitted information may include distributor identification information, which allows the product supplier to select a distributor in the market report (S2900). Next, the server instructs the distributor's terminal to initiate distribution based on the product supplier's selection (S3000).

[0150] Figure 9 illustrates an exemplary flowchart of a method for performing a market analysis service according to one embodiment. This flowchart is merely exemplary, and the scope of the present invention is not limited thereto. For example, depending on the embodiment, each step may be performed in a different order than that illustrated in Figure 9, or at least one step not illustrated in Figure 9 may be additionally performed, or at least one of the steps illustrated in Figure 9 may not be performed.

[0151] Referring to FIG. 9, a computer-implemented method for performing a market analysis service by a market analysis service server connected to a product supplier terminal and a distributor terminal includes (a) a step of receiving product information from the product supplier terminal (S100); (b) a step of transmitting the product information to a plurality of distributor terminals authorized by the server (S200), wherein the transmitted product information includes (b-1) product identification information that can specify a product for the market analysis service, and (b-2) does not include identification information of the product supplier; (c) a step of receiving market analysis information created based on the product information from at least two terminals among the plurality of distributor terminals (S300); and (d) a step of transmitting the market analysis information to the product supplier terminal (S400), wherein the transmitted market analysis information includes (d-1) distribution intention information of the distributor who created the market analysis information for the product, and (d-2) distribution expected amount information of the product, and (d-3) does not include identification information of the distributor who created the market analysis information.

[0152] Meanwhile, the method according to the various embodiments described above can be implemented in the form of a computer program stored in a computer-readable recording medium programmed to perform each step of the method, and can also be implemented in the form of a computer-readable recording medium storing a computer program programmed to perform each step of the method.

[0153] The above description is merely an illustrative illustration of the technical idea of ​​the present invention, and those skilled in the art will appreciate that various modifications and variations can be made without departing from the essential quality of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate, rather than limit, the technical idea of ​​the present invention, and the scope of the technical idea of ​​the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of the rights of the present invention.

Claims

1. A computer implementation method for performing a market analysis service by a market analysis service server connected to a product supplier terminal and a distributor terminal, (a) a step of receiving product information from the product supplier terminal; (b) a step of transmitting the product information to a plurality of distributor terminals authorized by the server, wherein the transmitted product information includes product identification information that can specify the product for the market analysis service; (c) a step of receiving market analysis information created based on the product information from at least two terminals among the plurality of distributor terminals; and (d) a step of transmitting the market analysis information to the product supplier terminal, wherein the transmitted market analysis information includes (d-1) distribution intention information for the product of the distributor who created the market analysis information and (d-2) distribution expected quantity information for the product; A computer implemented method comprising:

2. In paragraph 1, A computer-implemented method wherein the above product information includes a configuration specification of the product and an effective specification of the product.

3. In paragraph 2, A computer-implemented method wherein the above configuration specifications include at least one selected from the group consisting of a classification of the product, a component of the product, a size of the product, a weight of the product, a design of the product, and a brand of the product.

4. In paragraph 2, A computer-implemented method wherein the effective specifications include at least one selected from the group consisting of a selling point of the product, a purpose of the product, an effect of the product, a performance of the product, and a licensing of the product.

5. In paragraph 1, A computer-implemented method wherein the above product information includes development stage information of the above product.

6. In paragraph 5, A computer-implemented method in which transmission of product information is restricted when the development stage of the product is below a predetermined stage.

7. In paragraph 1, A computer-implemented method wherein the market analysis information includes market status information for the above product.

8. In paragraph 7, A computer-implemented method wherein the market status information includes at least one selected from the group consisting of (i) market size, (ii) market sector, (iii) market growth rate, (iv) country-specific competitor information, and (v) licensing information for the product.

9. In paragraph 7, A computer-implemented method wherein the above market status information is market status information for the region, country or continent where the distributor terminal that transmitted the above market analysis information is located.

10. In paragraph 1, A computer-implemented method wherein the above market analysis information includes a sales strategy for the above product.

11. In paragraph 10, A computer-implemented method for providing a sales strategy including improvement requests for the product.

12. In paragraph 1, A computer-implemented method wherein the step of transmitting the market analysis information to the product supplier terminal includes a step of filtering out incorrect information (misinformation) and / or false information (disinformation) among the contents included in the market analysis information.

13. In paragraph 12, A computer-implemented method wherein the step of filtering out the above misinformation and / or disinformation is performed according to predetermined statistical numerical criteria.

14. In paragraph 13, A computer-implemented method wherein the above predetermined statistical figures are determined based on the past distribution performance of the above distributor.

15. In paragraph 12, A computer-implemented method wherein the step of filtering out the above misinformation and / or disinformation is performed by a language comparison model.

16. In paragraph 15, The above language comparison model is a computer-implemented method learned by past market analysis information transmitted from the distributor terminal.

17. In paragraph 1, A computer-implemented method wherein the step of transmitting the market analysis information to the product supplier terminal includes the step of integrating the market analysis information to generate a market analysis report.

18. In paragraph 1, A computer-implemented method further comprising a step of receiving a distribution application for the product from the product supplier terminal.

19. In paragraph 1, A computer-implemented method further comprising the step of transmitting a distribution instruction for the product to at least one of the plurality of distributor terminals selected based on the market analysis information.

20. In paragraph 1, A computer-implemented method wherein the step of receiving a distribution application for the above product includes the step of receiving a production plan for the above product from the product supplier.

21. In paragraph 20, A computer-implemented method, wherein the production plan includes at least one selected from the group consisting of (i) the planned production quantity of the product, (ii) a raw material procurement plan of the product, (iii) a supply unit price of the product, (iv) a minimum order quantity of the product, (v) a lead time for supplying the product, (vi) VOC (Voice Of Customer) response information of the product, and (vii) transportation conditions of the product.

22. In paragraph 1, A computer-implemented method further comprising the step of transmitting identification information of a distributor who created the market analysis information to the product supplier terminal.

23. In paragraph 22, A computer-implemented method further comprising the step of transmitting, to the product supplier terminal, author identification information that can distinguish the market analysis information transmitted by each author.

24. In paragraph 23, A computer-implemented method further comprising a step of receiving evaluation information for each market analysis information distinguished according to the writer identification information from the product supplier terminal.

25. In paragraph 24, Further comprising a step of transmitting a distribution instruction of the product to at least one terminal among the plurality of distributor terminals selected based on the market analysis information, A computer-implemented method in which the above distribution instructions are transmitted to a selected distributor terminal based on the above evaluation information.

26. In paragraph 1, A computer-implemented method further comprising the step of: the server being connected to a real-time terminal; and instructing the real-time terminal to conduct a real-time investigation on a distributor who has created the market analysis information.

27. In paragraph 1, A computer-implemented method further comprising the step of: the server being connected to a real-time terminal; and instructing the real-time terminal to conduct a real-time investigation on a distributor who has created the market analysis information.

28. In paragraph 27, A computer-implemented method further comprising the step of monitoring actual-in-fact communication communicated between the actual-inspector terminal and the actual-inspector receiving distributor.

29. In paragraph 27, A computer-implemented method further comprising the step of providing a guideline including a list of real-world items to the real-world terminal.

30. In paragraph 29, The above guidelines include a computer-implemented method including a due diligence item for the above market analysis information.

31. In paragraph 27, A computer-implemented method further comprising a step of receiving the results of the actual investigation from the actual investigator terminal.

32. In paragraph 31, A computer-implemented method wherein the step of transmitting the market analysis information to the product supplier terminal includes the step of transmitting at least a portion of the survey results to the product supplier terminal.

33. In paragraph 1, A computer-implemented method wherein the product information transmitted does not include identification information of the product supplier, and the market analysis information transmitted does not include identification information of the distributor who prepared the market analysis information.

34. A computer program stored on a computer-readable recording medium that is executed to include each step included in any one of paragraphs 1 to 33.

35. A computer-readable recording medium storing a computer program that is performed to include each step included in any one of paragraphs 1 to 33.

36. As a market analysis service server connected to product supplier terminals and distributor terminals, a memory storing at least one instruction; and Includes a processor, By executing at least one instruction by the processor, (a) Receive product information from the product supplier terminal; (b) transmit the product information to multiple distributor terminals authorized by the server, and the transmitted product information includes product identification information that can specify the product for the market analysis service; (c) receiving market analysis information prepared based on the product information from at least two terminals among the plurality of distributor terminals; and (d) Transmitting the above market analysis information to the product supplier terminal, wherein the transmitted market analysis information includes (d-1) distribution intention information for the above product of the distributor who wrote the above market analysis information and (d-2) distribution expected quantity information for the above product. Market analysis service server.

Images