535 results about "Customer information" patented technology

A method, apparatus, and system of activating and using a contactless card via unique activation codes are disclosed. A system includes a memory and a processor configured to: receive an account number for a contactless card from a third party computing system; generate a card activation code for the contactless card, the card activation code being unique to the contactless card; generate a customer-specific uniform resource locator (URL) by appending the card activation code to a general URL, the general URL being associated with an entity of the system; transmit the customer-specific URL to the third party computing system with instructions to write the customer-specific URL into a wireless chip of the contactless card; associate the card activation code with the account number and information regarding a customer associated with the contactless card; and store the card activation code within the memory to be referenced during activation.

The invention discloses an automatic order sending system with an intelligent matching function, and the system comprises a data collection module which is used for collecting customer information, order information, service personnel information, and environment information; the data acquisition module is connected with a plurality of data sources, and obtains customer information such as basic information, historical order data, consumption habits and preferences of customers through an interface protocol; order information such as the type, the amount, the time, the emergency degree and the special requirement of the order is acquired; and service personnel information such as skill level, working experience, working time arrangement and service area preference of the service personnel is obtained. According to the automatic order sending system with the intelligent matching function provided by the invention, the technical aspect of the automatic order sending system with the intelligent matching function is remarkably improved. Through multi-dimensional data acquisition, the system can obtain more comprehensive and accurate information, and a solid data basis is provided for intelligent matching.

The invention discloses a customer information storage management method and system based on a block chain, and relates to the technical field of distributed data evidence storage, and the method comprises the steps: collecting terminal customer information, generating an encrypted data packet, carrying out erasure coding, and generating an encrypted data fragment set; carrying out distributed storage based on the encrypted data fragment set, and calculating a data availability commitment at the same time; executing availability sampling according to the data availability commitment, and generating a fragment validity proof; based on the fragment validity proof, performing format and validity verification to obtain a to-be-processed proof set; and generating a recursive aggregation proof according to the to-be-processed proof set, and submitting the recursive aggregation proof to the block chain to verify and update a proof storage state. And cryptographic authentication is carried out on the persistent evidence storage state of the data assets, so that the dual beneficial effects of ensuring data privacy and credible evidence storage are achieved.

The invention provides a customer marketing method and device, electronic equipment, a medium and a program product, and can be applied to the technical field of big data and the technical field of artificial intelligence. The method comprises the steps of obtaining multi-dimensional customer information, and performing customer grouping based on the multi-dimensional customer information to obtain a target customer group; executing first marketing push based on the target customer group to obtain customer response information; on the basis of the customer response information, using a prediction model to carry out purchase willingness prediction to obtain a purchase willingness score; and generating a recommendation list based on the purchase intention score, and executing second marketing push based on the recommendation list.

The invention relates to a cold and hot data migration method and device, computer equipment, a readable storage medium and a program product, and relates to the technical field of software development. The method comprises the steps of obtaining customer information in response to a trigger operation for a front-end application; inputting the customer information into a pre-trained customer behavior prediction model to obtain a customer behavior prediction result; comparing the customer behavior prediction result with a cold and hot data knowledge graph to obtain associated data corresponding to the customer behavior prediction result and a predicted cold and hot data type of the associated data; generating a migration strategy for the associated data according to the actual cold and hot data type of the associated data and the predicted cold and hot data type; the migration strategy is used for migrating the associated data to a first memory where hot data is located or migrating the associated data to a second memory where cold data is located. By adopting the method, the identification accuracy of cold and hot data can be improved.

The invention discloses a customer information updating and management method and system based on big data, and relates to the technical field of big data and customer relationship management. Comprising the following steps: firstly, collecting multi-source customer data and constructing a multi-dimensional time sequence characteristic panel; then, through sharing an integrated model of a bottom layer, synchronously predicting a dynamic life cycle value and a continuous loss risk probability of the customer; the network influence weight of the customer is quantified by using an influence penetration model and Monte Carlo simulation; further, fusing the three dimensions, and generating a resource allocation coefficient through a multi-objective optimization function based on a customer type dynamic configuration weight; and finally, automatically updating the customer label based on the coefficient, and combining atomic operations through a strategy arrangement engine to form personalized strategy workflow execution and closed-loop optimization. According to the method, the problems of static isolation and strategy lag of traditional customer information management are solved, and accurate insight of customer values and dynamic intelligent distribution of management resources are realized.

The invention provides a dynamic permission smart contract generation method and system based on data sensitivity self-adaption, and relates to the technical field of data security, the method comprises the following steps: classifying and marking multi-dimensional data in a business scene, and constructing a customer information classification matrix according to data types; based on data types of the client information classification matrix, sensitivity quantitative evaluation is carried out by utilizing a rule engine based on a decision tree, the engine takes a data use scene, a regulation constraint label and a timeliness weight label as input, a sensitivity result is judged and output according to a preset tree-shaped path, and a structured sensitivity level matrix is generated after all data types are traversed; and according to the data sensitivity level matrix, in combination with a preset post role permission rule, establishing a mapping relationship between data sensitivity and role permission, and generating a dynamic permission policy tree. According to the invention, through data classification and sensitivity evaluation, the data security is balanced and the protection capability is improved.

The invention discloses an intelligent customer obtaining method and system based on multi-modal data, and relates to the technical field of multi-modal data. Corresponding customer demand information is determined according to detection of a demand space; according to the content of the customer demand information, the information weight and the multi-modal data, multiple pieces of target data in the multi-modal data are determined, and the final customer obtaining path is determined based on the multiple pieces of target data, the enterprise database and the customer demand information, so that the accuracy of the customer obtaining path is improved. Therefore, the corresponding customer information is determined according to the detection of the customer obtaining node of the customer obtaining path, and the corresponding customer obtaining mode is matched based on the customer information and the customer demand information; and determining a corresponding customer obtaining number according to the execution of the customer obtaining mode, and triggering autonomous optimization of the customer obtaining mode according to the customer obtaining number and the execution condition of the customer obtaining mode until the customer obtaining number is greater than a preset customer obtaining number threshold value, so as to improve the intelligent customer obtaining effect.

The invention provides a data management method and device for a credit system, a storage medium and a system, and the method comprises the steps: obtaining customer information under the condition of customer authorization, and carrying out the encryption processing of the customer information, and obtaining encrypted customer information; dividing the encrypted customer information into a plurality of pieces of sub-encrypted customer information with preset sizes; determining a target distributed storage node according to the attribute information of each distributed storage node; and uploading all the sub-encrypted customer information to the target distributed storage node so as to realize storage of the customer information. According to the method and the device, the problem of low data security caused by easy tampering or leakage of user data due to the fact that a centralized data storage mode is generally adopted by a credit system in the prior art is solved.

The invention discloses a multi-platform customer information integration and unified management method and system, and relates to the technical field of customer relationship management, and the method comprises the steps: dynamically accessing multi-platform data through a distributed API gateway, and uniformly converting the multi-platform data into an Avro format data stream through a lightweight container; the method comprises the following steps: processing a data stream by adopting a three-stage cleaning assembly line, extracting multi-modal features in combination with a BERT micro model and a pruned MobileNetV3, and fusing the multi-modal features into 384-dimensional feature vectors according to a weight matrix; dynamically constructing a Transform-XL skeleton network based on the feature flow, and optimizing the model in real time through knowledge distillation and reinforcement learning regulators; constructing a customer portrait version tree by using a dual-channel full-connection layer to realize millisecond-level emergency update; personalized services are generated based on a multi-arm bandit algorithm, feedback is collected, and closed-loop optimization is completed through a preference offset degree driving model scalpel mechanism. According to the method, the problems of real-time fusion of multi-source heterogeneous data, dynamic portrait updating and model adaptive adjustment are solved.

The invention, which relates to the technical field of online customer service evaluation, discloses an online customer service evaluation system for cross-border e-commerce, comprising a customer information acquisition module, a cultural feature mapping module, a weight configuration module, an emotion correction module, an aging evaluation module, a score generation module and a model optimization module. The customer information acquisition module is used for acquiring nationality, language and time zone information during customer session; the culture feature mapping module is used for extracting corresponding power distance, uncertainty avoidance, personality, long-term guidance and positive rigidity feature values from a pre-stored culture dimension database according to the nationality information to form culture feature vectors; and the weight configuration module is used for generating a dynamic weight of a service evaluation index according to the culture feature vector and a preset mapping rule, so that scoring emphasis on accuracy, responsiveness, polite and co-estrus expression under different cultures is different.

Some embodiments provide systems comprises: a customer database; a product database; a training data database; a customer evaluation system configured to implement one or more machine learning acceptance probability models to identify an acceptance likelihood factor, and determine whether the each respective customer has a corresponding acceptance likelihood factor greater than a likelihood threshold value; and a plurality of point of sale (POS) systems configured to complete sales transactions, obtain customer identifying information, and communicate the customer identifying information to the customer evaluation system; wherein the customer evaluation system is configured to communicate customer information to the payment method offer entity when the customer has an acceptance likelihood factor greater than a likelihood threshold value, receive authorization to present the customer with a payment method offer, and to present the payment method offer.

The invention discloses a customer information gridding screening method and device, and the method comprises the steps: constructing a preliminary grid boundary of a secondary branch row on an electronic map, and carrying out the adjustment of the preliminary grid boundary based on an electronic fence editing tool, and obtaining a secondary branch row grid boundary; calling an electronic map interface, obtaining latitude and longitude information corresponding to the address information of each enterprise, comparing the latitude and longitude information with the boundary of the secondary branch grid, determining the enterprise located in the boundary of the secondary branch grid, establishing an enterprise database in the secondary branch grid, and when an enterprise query request of a customer manager is received, sending the enterprise query request to the customer manager. And according to a multi-dimensional enterprise screening condition set by a customer manager, screening out an enterprise meeting the condition from the enterprise database in the secondary branch grid, and further displaying the screened enterprise information to the customer manager through a front-end page. According to the invention, the efficiency and accuracy of acquiring enterprise information in a secondary branch exhibition area by a customer manager are improved.

The invention discloses a customer group-based service method and device and a program product, relates to the field of artificial intelligence and is applied to the field of financial science and technology, and the method comprises the steps: receiving first input information of business personnel, generating a reply text through a main agent, and recognizing a first intention of the business personnel; under the condition that the first intention belongs to the establishment of the customer group, dialogue information between the business personnel and the master agent is sent to a target agent in the multiple slave agents, and interaction with the business personnel is carried out through the target agent; establishing a target customer group based on customer group information in the dialogue information through the target agent; and sending the target customer group to the business personnel, thereby enabling the business personnel to provide services for the customer according to the target customer group. Through application of the method and the device, the problem that the working efficiency of business personnel is relatively low because the business personnel need to establish the customer group by repeatedly optimizing the input customer information in the fixed element of the front-end page when the service is provided for the customer according to the customer group in the related technology is solved.

The invention discloses a hotel online reservation service system based on Internet data intelligent service and an intelligent terminal, and belongs to the field of hotel reservation service. The hotel online reservation service system based on the Internet data intelligent service comprises a reservation management module, a guest room management module and a customer information management module. The method solves a problem that the customer distribution efficiency is affected because reasonable distribution cannot be carried out according to demands of different customers in the prior art, can automatically distribute hotel guest rooms according to customer preference factors, reduces manual communication errors, ensures that the check-in experience accords with expectations, improves the service response speed, improves the utilization rate and the room distribution efficiency, and improves the user experience. By evaluating the running state of the equipment of the hotel guest room, potential faults can be found in advance, the maintenance process can be automatically triggered, the situation that guests encounter equipment faults when checking in is avoided, the satisfaction degree is improved, the situation that the hotel guest room is temporarily non-sold due to sudden faults is avoided by eliminating equipment hidden dangers in advance, and the room resource utilization rate is improved.

The invention provides an unmanned aerial vehicle terminal distribution method and system based on a public transport network, and belongs to the technical field of logistics distribution, and the method comprises the steps: obtaining customer information, public transport network information and unmanned aerial vehicle information; establishing a multi-target optimization model for cooperative distribution of the bus and the unmanned aerial vehicle by using the customer information, the public transportation network information and the unmanned aerial vehicle information; the target optimization module takes the minimum cost as a target function and considers time difference constraint, route constraint, load constraint and energy constraint; adopting a non-dominated transformer neighborhood search algorithm of a simulated annealing algorithm acceptance criterion to solve the multi-objective optimization model to obtain an approximate Pareto optimal solution set; the optimal solution set is an unmanned aerial vehicle tail end distribution scheme considering cost, time and risk. Based on the method, the invention further provides an unmanned aerial vehicle tail end distribution system based on the public transport network. According to the invention, through combination of unmanned aerial vehicle electric driving and public transportation network cooperation, multi-objective optimized logistics distribution is realized.

The invention relates to the technical field of marketing, and discloses a laundry customer marketing system based on big data, which comprises the following steps: firstly, collecting customer information, specifically collecting customer name, contact information, address, gender and age information in a customer registration filling mode, and collecting evaluation of customers on laundry service, environment and price; third-party data acquisition is carried out to obtain customer data provided by a third-party platform, and the customer data comprises calculation of the average consumption amount, consumption frequency and evaluation scores of customers; carrying out data mining, specifically mining and discovering a hidden mode and a rule in customer data; according to requirements, marketing target customer crowds are analyzed from the angles of transaction channels, transaction amounts, transaction frequencies and member identities, and information of target customers is accurately returned and exported. Through the accurate customer portrait and the self-service analysis function, the laundry can accurately identify the target customer crowd and formulate the personalized marketing strategy, the marketing accuracy is improved, and the marketing effect is improved.

Automatically generates sales materials optimized for each customer. [Solution] A program that causes one or more processors to execute the following steps: acquiring basic customer information, information related to transactions with the customer, and external customer information; analyzing each acquired piece of information to extract keywords and the context of those keywords to identify the customer's potential problems; selecting the company's services to solve the problems based on the identified problems and selection rules that define the selection criteria for the company's services, and determining proposal requirements that include the company's services and the problems; incorporating the proposal requirements into a prompt template and generating a prompt that instructs a generating AI model to generate text content that constitutes sales materials for the customer; and inputting the prompt into the generating AI model and incorporating the obtained text content into a document template to generate sales materials for the customer.

The invention discloses a multi-logistics vehicle collaborative scheduling method based on a guided customer selection ant colony system, and belongs to the technical field of computing intelligence. According to the method, a feasible solution scheme is constructed for a multi-logistics-vehicle cooperative scheduling optimization problem by maintaining ant teams with the same quantity as the logistics vehicles, wherein each ant is responsible for constructing a service path of one logistics vehicle. After each ant randomly selects the initial customer of the respective service path, selecting the customer which is finally served for each ant based on a final customer selection method of the minimum service cost; then, the ant colony system fuses the current customer information and the customer selection mechanism of the customer information of the final service, and constructs the service path of the logistics vehicle path by path and customer by customer, so that the constructed path is more directional; and finally, in combination with 2-opt and a point insertion local search strategy, optimizing service paths of all logistics vehicles. According to the method, the optimal multi-logistics-vehicle cooperative scheduling scheme is constructed, and meanwhile, the service cost between the logistics vehicles can be well balanced.

To enhance convenience of promotions utilizing generative AI for customers using mobile terminals.SOLUTION: An information processing apparatus according to an embodiment comprises a first acquisition unit, a second acquisition unit, a first generation unit, a second generation unit, and an output control unit. The first acquisition unit acquires customer information related to a customer who enters a facility. The second acquisition unit acquires position information representing a position of the customer in the facility. The first generation unit generates first text information including the customer information and the position information. The second generation unit, by inputting the first text information into generative AI which generates a text related to a product handled in the facility in response to the input of the first text information, generates, based on a generative text generated by the generative AI, second text information for a promotion of the product described in the generative text. The output control unit outputs the second text information to a terminal device used by the customer.SELECTED DRAWING: Figure 3

The invention belongs to the technical field of network equipment operation and maintenance, and relates to an operation and maintenance method and system for remote management and data acquisition and analysis based on hybrid networking, and the method comprises the steps: obtaining customer information, and carrying out the preprocessing; deploying and configuring an intelligent gateway to access a client network; configuring an intelligent gateway to enable a client network to establish secure communication connection with the monitoring center through the intelligent gateway; the monitoring center inputs customer asset information in a grading manner based on the preprocessed customer information; the intelligent gateway collects state information of customer assets in a customer network according to a preset collection period and transmits the state information to the monitoring center, and the monitoring center updates the states of the customer assets based on the received state information and performs operation and maintenance based on the current states of the customer assets. The security communication between the monitoring center and the user network is realized by deploying the intelligent gateway; state information of client network equipment is collected based on an intelligent gateway to serve as an information safety buffer area of a client network and a monitoring center, and safety communication in different scenes is achieved.

The invention provides a customer information auxiliary analysis report generation method and device, equipment and a storage medium. The method comprises the steps of obtaining basic feature data of any customer; inputting the basic feature data into a preset large language model for preprocessing to obtain knowledge base retrieval data; according to the knowledge base retrieval data, performing retrieval processing on a preset knowledge base to obtain corresponding related knowledge fragments; determining role definition data and customer portrait auxiliary data according to the basic feature data; integrating the role definition data, the customer portrait auxiliary data and a preset report format into a model cue word; inputting the basic feature data, the knowledge base retrieval data, the related knowledge fragments and the model cue words into a preset large language model for iterative processing to obtain a customer information auxiliary analysis report of the customer; and outputting the customer information auxiliary analysis report, so that the generation efficiency of the customer information auxiliary analysis report is improved.

The invention provides an intelligent agricultural credit guarantee management system, which integrates the functions of all modules from the actual service situation in a financing guarantee company, and meets the current service demand and the long-term development goal. The system comprises a client information management module, a business management module, a contract module, an after-insurance management module, a risk management module, a performance management module, a statistical report management module, an external interface module, an internal OA module, a mobile terminal important matter reminding module, a cockpit module, a configuration module and a reservation module. According to the invention, the life cycle of the whole guarantee service can be fully covered, and integrated guarantee service functions of guarantee service acceptance approval management, enterprise data query, risk early warning management, after-guarantee management, fund management and the like are realized; the system also has the functions of guarantee approval, anti-guarantee management, contract management, process management, after-guarantee management, report unification and the like, and further improves the overall business processing efficiency and risk management level.

A computer-implemented method includes presenting a user interface to a user, upon receiving an input from the user, presenting a beginning user interface to the user, receiving customer information through the user interface, providing directions to the user for gathering information and photos about one or more spaces for a construction project, providing prompts to the user and receiving information including at least a type of construction project, sending the photos and information about the construction project to a fine-tuned large language model (LLM), using the fine-tuned LLM to select relevant elements from the photos and information, and produce one or more data objects, receiving the data objects from the LLM and converting the data objects to one or more construction estimates, the construction estimate including at least a labor estimate, and presenting the construction estimate through the user interface to the user.

The invention relates to the technical field of information processing, in particular to a reverse order full-link identification and risk control method, device and equipment and a storage medium, and the method comprises the steps: regularly pulling order basic information of a merchant from a plurality of open APIs, and employing a CRF model to identify a waybill reverse label in the order basic information, cross-platform reverse order data streams are automatically processed, the multi-source heterogeneous data integration capability is achieved, the data processing efficiency is improved, accurate recognition and standardized management of reverse order customer information are achieved, sending and receiving information corresponding to reverse waybill numbers is inquired, whole-process processing of order data is covered, the data management quality is improved, and the data management efficiency is improved. Calling a naive Bayesian classification model to calculate a first risk probability of the sending and receiving information, improving the intelligent degree of risk identification, fusing the first risk probability and the historical total return rate of the user to obtain a second risk probability, and generating abnormal order interception information when the second risk probability is greater than a preset risk threshold value. And risk control decision-making efficiency is improved.

An intent recognition method based on a large language model and a customer portrait classification model, the method comprising: obtaining a customer's current relevant order and background information according to customer ID information; a customer portrait classification model obtains a first score vector according to the relevant order and the background information; the first score vector is used to indicate a current customer portrait classification score; a fine-tuned large model performs semantic recognition on the context of an input customer conversation to obtain a second score vector; the second score vector is used to indicate a customer current emotional feedback score; the fine-tuned large model is obtained by fine-tuning a large language model; a comprehensive score vector is obtained by fusing the first score vector and the second score vector; the comprehensive score vector is used to indicate different tendency weights in different business scenarios; an inference large model performs inference according to the comprehensive score vector, and outputs a customer intent; a corresponding business logic is driven to be executed according to the customer intent, and the corresponding business logic comprises providing customized suggestions or triggering a specific service process.

An object of a system according to an embodiment is to analyze sales data and automatically determine a winning ratio for each presented amount.SOLUTION: A system includes a data acquisition unit, an analysis unit, an input unit, and a determination unit. The data-fetching part fetches the past business date by using the generated AI. The analysis part analyzes the business data fetched by the data fetching part. The input unit inputs product information and customer information. The determination unit determines a winning rate for each presented amount based on the data analyzed by the analysis unit.SELECTED DRAWING: Figure 1

The invention discloses a potential customer truth rate evaluation and business opportunity mining method based on multi-source data fusion in the express industry, and relates to the technical field of logistics information, and the method comprises the following steps: S1, obtaining potential customer original data from a plurality of independent channels through a data collection module, the channels comprise an e-commerce platform non-cooperative customer data source, a centralized signing / returning address data source, an employee recommendation customer clue data source and a third-party API data source; and S2, performing structured processing on the original data in the data processing module. According to the latent customer truth rate evaluation and business opportunity mining method provided by the invention, multi-source data such as uncooperative customers, centralized signing / returning addresses, employee recommendation clues, third-party APIs and the like of an e-commerce platform are integrated, so that comprehensive acquisition and accurate analysis of latent customer information are realized, the problems of data dispersion and high integration difficulty in a traditional method are solved, and the real rate of latent customers is evaluated. Repeated and invalid information is effectively removed, and quick identification and efficient distribution of business opportunities are realized.

The application discloses a kind of import methods of customer information, it is related to artificial intelligence field, the method includes: in response to obtaining customer information list, extract customer information in customer information list, and store customer information into message queue;The compliance verification is carried out to customer information in message queue, and the compliant customer information is filled in by the storage information in database, to import the compliant customer information after filling into job system.The technical scheme of the embodiment of the application realizes the decoupling of customer information and list file, so that the import of other customer information in customer information list is not affected when single customer information exists error, the import efficiency of customer information is improved, and at the same time, the storage information in database is used to fill compliant customer information, to further ensure the data integrity of customer information imported by job system.

Methods and apparatus for secure registration to enable transactions between a first user and a vendor that is facilitated by a payment server are disclosed. The method may comprise storing a form soliciting customer information including a plurality of fields, wherein at least one of the plurality of fields is associated with an attribute. The method including receiving a copy of the form including customer data in all of the plurality of fields and transmitting a first subset of the customer data based on the attribute associated with the first subset of the customer data. The method including receiving a token in response to the transmission of the first subset of customer data and transmitting the token and a second subset of the customer data, wherein the second subset is based on the attribute associated with the second subset of customer data.