Patent ID: 11922443
Assignee: HYUN OK LEE
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for predicting demand using visual schemas of a product executed in a demand predicting device, the method comprising:
receiving, from a plurality of consumer terminal devices, product purchase data;
creating, based on the product purchase data, visual schemas in which attributes of a product are digitized;
analyzing the visual schemas and creating visual schema analysis data, which is data expressing a relationship between the attributes of the product and at least one among other attributes, consumers, trends, and costs, by performing a contents analysis action, a clustering action, and a neural network forming action,
wherein the neural network forming action forms the attributes of the product and preference to corresponding attributes in the form of a neural network, and creates the neural network includes information regarding complexity between the attributes of the product and the preference;
creating prediction data, which is data obtained as a result of demand prediction analysis by attributes of the product using the visual schema analysis data, by performing:
expressing the relationship between the attributes of the product in visual narratives by applying a credit scoring model to the neural network;
calculating probability of how the visual narratives satisfy each area of a lifestyle map and a target audience's preference and demand; and
ranking the calculated probabilities in sequence to predict demand for the product;

creating visual narrative data expressing the prediction data into correlation between products or customers, and describing demand prediction;
transmitting, to a manager terminal device, the prediction data and the visual narrative data; and
replacing a relation pattern between the visual schemas in a product optimization model expressed by visual narratives with a combination between nodes of the neural network, and carrying out machine reinforcement learning to learn a consumer's specific preference to a specific product through the relation pattern between the visual schemas.