12 results about "Customer acquisition" patented technology

This invention provides an information processing device, information processing method, information processing system, and program that enable centralized management of patient information by linking an electronic medical record database with databases from multiple customer acquisition media, and that utilize this information to propose medical services. [Solution] The information processing system includes a reception unit that receives patient needs, a patient information acquisition unit that acquires patient information including basic patient information and medical visit history information, a medical information acquisition unit that acquires medical information including medical treatment information and prescription details from medical institutions, an information centralized management unit that centrally manages patient information and medical information, a prompt generation unit that outputs generation commands based on the centrally managed patient information and medical information, and a proposal information generation unit that generates proposal information including medical services, medical institutions, treatment details, etc., suitable for the patient based on the generation commands.

The application discloses a kind of AIGC content generation and GEO optimization distribution method and system based on knowledge graph constraint.The core of the method is to change the AIGC content generation process from "unconstrained free generation" to "knowledge graph hard constraint generation", and change the content distribution from "passive waiting for inclusion" to "active reverse optimization distribution".The method first establishes the brand exclusive text business travel structured knowledge graph, and uses the hard facts such as merchant coordinates, joint IP and product SKU as mandatory boundary prompt words to constrain the text generation of large language model;At the same time, through the reverse analysis of the recommendation preference of mainstream generative AI engine by automatic probe, the preference vector matrix is formed to guide corpus generation;Then, through the full-automatic distribution platform, the corpus is fed to the whole network in batches through multiple channels;Finally, through the inclusion tracking probe and feedback closed-loop mechanism, the dynamic rectification of strategy is realized.The application realizes the generative engine optimization (GEO) for large model for the first time at the system level, effectively eliminates AI content illusion, realizes more than 80% automation of core operation process, and significantly reduces the cost of enterprise customer acquisition.

The application is suitable for the field of customer marketing technology in the home decoration industry, and provides a multi-party fission customer acquisition method and system based on home decoration completion acceptance, wherein the multi-party fission customer acquisition method based on home decoration completion acceptance comprises the following steps: collecting a plurality of normalized parameters of the owner in the home decoration project completion acceptance stage and a preset time thereafter, wherein the parameters at least include satisfaction, active sharing willingness, after-sales response sensitivity and customer influence density; inputting the collected parameters into a preset fission potential model to calculate the fission potential index of each owner. In the application, the four normalized parameters of satisfaction, active sharing willingness, after-sales response sensitivity and customer influence density are collected in the completion acceptance golden window period, and the fission potential index of each owner is calculated by using a product type fission potential model with cross terms, so that high, medium and low potential owners can be objectively and quantitatively identified, and resource waste in traditional extensive marketing can be avoided.

This invention provides an intelligent customer acquisition and automated marketing method based on multimodal behavioral sequences and causal gain attribution. The method includes: performing identity parsing, data cleaning and standardization, and data quality monitoring on the original event table to obtain a basic data table; processing the basic data table to obtain multimodal time series representations and user vector representations; constructing a causal gain attribution framework to obtain the true incremental contribution of a single user to a marketing action; performing cross-channel attribution and interpretability analysis to obtain attribution results; performing content representation and embedding, and content filtering to obtain personalized content recommendations; performing automated marketing orchestration and execution, as well as privacy protection and ethical risk detection; and finally, monitoring and evaluating the model. This invention enables unified representation of multimodal data, accurate attribution based on causal gain, automated cross-channel marketing orchestration, and privacy and ethical monitoring, significantly improving customer acquisition effectiveness, resource allocation efficiency, and decision-making transparency.

The application provides a financial product recommendation method and device, equipment, a storage medium and a program product, which can be applied to the fields of artificial intelligence technology and big data technology. The method comprises the following steps: obtaining a plurality of multidimensional data of a target customer; inputting the a plurality of multidimensional data of the target customer into a first financial product recommendation model generated by pre-training; outputting n first recommended financial products; and sending the n first recommended financial products to the target customer respectively. n first feedback data of the target customer after receiving the n first recommended financial products is obtained. Based on the n first feedback data, the first financial product recommendation model is fine-tuned to generate a target financial product recommendation model. The a plurality of multidimensional data of the target customer are inputted into the target financial product recommendation model, and a target recommended financial product is outputted.

This application relates to an index construction method, apparatus, computer device, and storage medium. The method includes: receiving an index construction request; obtaining relevant data information of the target customer for index construction based on the target customer corresponding to the index construction request; performing cluster analysis on the relevant data information to obtain classified data; configuring a construction environment; concatenating the classified data according to preset dimensions based on the construction environment to generate wide table data; formatting the wide table data with an index and writing it into a corresponding index library to form a first data table; and updating the wide table data in the index library using an incremental update mechanism. The indexing mechanism constructed in this application ensures the availability, fault tolerance, and robustness of the product index, greatly improving construction efficiency. In addition, the switching mechanism constructed in this application allows for a smooth and lossless switch when system anomalies occur, improving the efficiency of search data construction and significantly enhancing the user experience.

The application discloses a big data intelligent financial customer acquisition system and relates to the technical field of financial technology and big data technology. A data acquisition module is used for acquiring data, processing the data through standardization, generating an internal element set and a risk event set; a graph construction module is used for constructing an industrial correlation knowledge graph from data acquired from a global enterprise database; a conduction network module is used for calculating and marking a conduction strength coefficient and an attenuation factor, and constructing a dynamic conduction network; a mapping set module is used for identifying a risk conduction entry node and forming a mapping set; a walk simulation module is used for calculating a risk conduction strength and a probability through Monte Carlo random walk simulation, and forming a risk conduction strength distribution graph; and a customer activation module is used for dynamically reducing an original activation value score of a customer entity to generate a comprehensive value sequence, and generating a customer activation strategy. The application effectively solves the problems of insufficient risk foresight and low marketing efficiency of the existing system.

The present application belongs to the technical field of data analysis, and particularly relates to a customer acquisition tracking method and system based on multi-channel fusion and a computer device. The method of the present application comprises: obtaining user behavior data; constructing a connected graph, extracting historical touchpoints of each user in all channels in time sequence to form a behavior trajectory sequence, and identifying a preset key conversion node in the behavior trajectory sequence; when the user behavior matches the key conversion node, calculating a contribution weight for each touchpoint in the sequence; and determining a customer acquisition tracking result of each channel based on the contribution weight of each touchpoint. The present application effectively solves the problems of data isolation, attribution difficulty and evaluation lag generally existing in the existing customer acquisition tracking scheme.

The application discloses a multi-scene intelligent agent business cooperative processing system and method, and relates to the technical field of computer networks.The application realizes unified data interaction standards, process scheduling rules and a full-link compliance management and control system for the whole system by constructing a core cooperative control module.This design enables multiple business modules such as intelligent customer service, intelligent video mixing and releasing and intelligent customer acquisition to realize bidirectional data intercommunication and automatic process linkage, thereby significantly improving the efficiency and automation level of business cooperation.For example, the intelligent customer acquisition module can automatically mine potential customer clues and construct user portraits, and then trigger the intelligent video mixing and releasing module to perform accurate marketing, so that the whole process is seamlessly connected, manual intervention is reduced, and the business processing speed and quality are improved.

The application discloses an intelligent agent system for short video marketing customer acquisition based on a large language model, comprising the following modules: a comment processing module for collecting competitor comment texts and preprocessing to generate standardized competitor comment texts; a script generation module for generating pain point vectors, retrieving contexts and segmented scripts by using an improved LLaMA2 marketing intelligent agent model; a material matching module for converting video materials and picture materials into pure text scene tags and generating initial multi-modal instructions; a loss rewriting module for generating loss probability based on a dynamic Markov loss decision model and generating final multi-modal instructions; a release test module for constructing an A / B test matrix and releasing short video content; a lead generation module for generating user confidence and CRM leads; and a feedback updating module for updating the model according to real conversion results. The application can improve the accuracy of short video content generation, user intention recognition and marketing lead acquisition.

This invention discloses a convenient urban parking and shopping system and method based on license plate recognition, belonging to the technical field of shopping mall parking guidance systems. The invention utilizes edge computing license plate recognition nodes deployed at parking lot entrances, exits, and parking space areas to collect vehicle images in real time, completing license plate number recognition and vehicle feature extraction on the edge. Advantages include: accurately predicting users' shopping probability, preferred merchants, and spending range through a behavior prediction engine, and proactively pushing personalized coupons, transforming passive waiting into proactive customer acquisition, significantly improving the conversion efficiency from parking to shopping; and introducing a real-time bidding engine, allowing merchants to bid for parking space guidance priority based on user profiles and vehicle characteristics. The system guides vehicles to parking spaces near the merchant with the highest bid or the highest matching degree, helping merchants acquire customers accurately and reducing users' time searching for parking spaces, achieving a win-win situation for all parties.