AI digital human customized IP incubation store exploration endorsement short video integrated marketing system

Abstract

The application discloses an AI digital person customized IP incubation store exploring endorsement short video integrated marketing system, and relates to the technical field of AI marketing and short video IP incubation. In view of the pain points of high cost of traditional store exploring by real person, content homogenization, difficulty in IP precipitation, low efficiency of video output, fragmentation of marketing link, inability to trace the effect, weak traffic fission and the like, the system comprises five core modules of digital person customization modeling, IP incubation operation, store exploring scene adaptation, short video intelligent generation and global marketing distribution. The system can realize real person replication digital person customization, exclusive IP long-term incubation, scene-based store exploring script adaptation, short video full-automatic generation and multi-platform global distribution, and further builds a double-layer commission incentive mechanism and a full-process data tracing system. The application realizes full automation of digital person marketing, greatly reduces the store marketing cost, improves the content output efficiency and the traffic conversion effect, and adapts to the normal short video marketing demand of offline merchants.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence marketing, short video content generation, and IP incubation technology, specifically to an integrated marketing system for AI digital human customized IP incubation, store visit endorsement, and short video marketing. Background Technology

[0002] With the rapid development of local e-commerce and short video marketing, the demand for online customer acquisition and brand promotion for offline stores in the catering, retail, and lifestyle service sectors continues to surge. Currently, the mainstream marketing model for these stores largely relies on videos featuring real-life store visit bloggers, manually edited short videos, and manual promotion across multiple platforms, which presents numerous industry pain points.

[0003] First, the live-action store visit model is costly and time-consuming. Live-action bloggers have limited availability and high cooperation fees. Moreover, the filming process is easily affected by location, weather, and staff condition, resulting in low content production efficiency and failing to meet the regular, high-frequency marketing and promotion needs of stores. Second, traditional store marketing lacks the ability to build a dedicated IP system, resulting in highly homogenized promotional content, vague personas, and undifferentiated content, making it difficult to accumulate brand private domain traffic and leading to extremely low user stickiness and brand recognition. Third, short video production relies on manual scriptwriting, shooting, editing, and color grading, requiring a high level of professionalism from operators. Ordinary merchants cannot independently produce high-quality store visit endorsement short videos on a regular basis. At the same time, the existing marketing model cannot achieve a closed-loop chain of content production, video production, full-domain placement, effect tracking, and traffic monetization. Marketing data is scattered, conversion effects cannot be accurately measured, and promotion strategies are difficult to iterate and optimize. Finally, traditional promotion models lack effective user incentive mechanisms for dissemination, resulting in insufficient motivation for short video forwarding and dissemination, poor traffic virality, and limited efficiency in attracting and converting customers to stores.

[0004] In existing technologies, some digital human marketing systems only possess simple digital human modeling or single video generation functions, which cannot adapt to the specific scenarios of offline store visits and brand endorsements. They lack integrated capabilities such as systematic IP incubation, intelligent scenario adaptation, batch content production, precise full-domain targeting, and data traceability and commission sharing. Their targeting, practicality, and intelligence levels are low, and they cannot solve the needs of offline stores for routine, low-cost, high-efficiency, and traceable short video marketing. This invention proposes an AI digital human customized IP incubation, store visit, and endorsement short video integrated marketing system. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an integrated marketing system for AI digital human customized IP incubation, store visit endorsement, and short video marketing. This system solves the problems of high marketing costs, homogenized content, difficulty in IP accumulation, low video production efficiency, fragmented marketing links, lack of traceability of effects, and weak traffic fission capabilities in traditional stores. It achieves fully automated closed-loop marketing of digital human customization, IP incubation, scene adaptation, video generation, full-domain delivery, and data monetization.

[0006] Therefore, this invention provides an integrated marketing system for AI digital human customized IP incubation, store visit endorsement, and short video marketing, including: a digital human customized modeling module, an IP incubation and operation module, a store visit endorsement scenario adaptation module, a short video intelligent generation module, and a full-domain marketing placement module; The digital human customization modeling module is used to create a tiered and structured merchant store-specific information tailored to the store visit marketing scenario, precise marketing promotion customization needs, and scenario-adaptive user personalized customization parameters. Combined with real-world store visit scenario materials, it uses AI deep learning algorithms and real-person replication modeling technology to complete the full-dimensional customization modeling of a dedicated AI digital human, generating a dedicated AI digital human asset adapted to offline store visit and commercial endorsement scenarios. In addition, this module also supports the uploading of real-person multi-angle face, body shape, and full-body real-life shooting materials, and completes the dedicated AI digital human real-person replication modeling based on the real-life shooting materials, so as to achieve a digital human that highly restores the appearance features of a real person. The IP incubation and operation module is a customizable exclusive IP creation module, which includes: IP persona information filling unit, IP type classification unit, audience pain point configuration unit, operation strategy matching unit, cycle plan customization unit, batch copywriting intelligent generation unit, and video automatic production unit; The store visit and endorsement scenario adaptation module communicates with the digital human customization modeling module and the IP incubation and operation module respectively. It is used to analyze the characteristics of offline store scenarios, commercial promotion needs and brand endorsement demands, match the corresponding digital human persona, speech system and interactive actions, and generate store visit scripts and endorsement plans that are suitable for catering, retail and service stores. The short video intelligent generation module is connected to the store visit and endorsement scenario adaptation module. It is used to drive the AI ​​digital human to complete the dynamic rendering of virtual store visits, store check-ins, product evaluations, and brand endorsements based on the adapted store visit script and endorsement plan. It automatically completes subtitle matching, background music adaptation, editing and splicing, and image quality optimization, and generates standardized store visit and endorsement short video products with one click. The omni-channel marketing delivery module communicates with the short video intelligent generation module and is used to connect with major short video platforms, social platforms, and local life channels to complete the intelligent distribution, precise traffic delivery, topic attachment, and local exposure of short videos, thereby achieving omni-channel reach for store visits and brand endorsement promotion.

[0007] Furthermore, the scenario-adaptive user-personalized customization parameters are full-dimensional customization parameters for the store visit exclusive digital human, covering real-life shooting modeling to customize the digital human image, real-life voice cloning, custom broadcast voice, immersive scene broadcast tone, store-adaptive exclusive background music library parameters, and marketing-type dynamic subtitle style templates, to achieve all-round personalized customization of digital human image, voice, and broadcast style.

[0008] Furthermore, the aforementioned IP persona information filling unit is used to provide a visual custom filling port, supporting users to fully enter basic IP persona information. The input dimensions include: IP name - using a combination of name and industry, custom external title, gender, date of birth, marital status, place of origin, work location, industry, specific occupation, and target audience, to complete the establishment of a comprehensive and exclusive IP persona profile. The IP type classification unit is used to provide three optional IP type tags for users to select according to their own business scenarios. Specifically, these include store owner IP, non-store owner IP, and Woquwan IP. Different IP types correspond to independent character style libraries, copywriting systems, and content output styles. The audience pain point configuration unit is used to support users to customize input and select the user pain points and needs that the IP can solve. It supports selecting and configuring three core solutions at a time, which serve as the core content basis for subsequent AI copywriting and short video content output, ensuring that the IP content accurately matches the audience's needs. The operation strategy matching unit is used to intelligently match four types of standardized IP operation strategies based on the basic information of the IP account, personality positioning, and audience characteristics entered by the user. These strategies are available for the user to choose from: ice-breaking strategies for newcomers during the cold start period, trust-building strategies for the fan accumulation stage, monetization strategies for the traffic monetization stage, and custom strategies for personalized operation needs. Each strategy corresponds to a different content output rhythm, copywriting style, content focus, and fan operation logic. The cycle plan customization unit is used to support users to customize IP operation execution plans. Users can customize the plan start time, the total number of days in the operation cycle, and the daily content output quantity. It supports the configuration of a 30-day normalized long-term operation cycle to meet the operational needs of long-term IP incubation and continuous store visit content updates. The batch copywriting intelligent generation unit is used to bind the established exclusive IP persona, operation strategy and operation cycle. Based on the AI ​​big model algorithm, it generates exclusive IP store visit, endorsement and popular science copywriting with different styles on a daily basis. It can output different styles of original copywriting content every day within a 30-day cycle, which fits the IP persona positioning and stage operation goals. The video automatic production unit is used to connect with the batch copywriting intelligent generation unit and the short video intelligent generation module. It automatically matches the daily generated differentiated IP exclusive copywriting with the corresponding digital human on-screen footage and scene materials, and renders and generates the corresponding store visit endorsement short video with one click, completing a fully automated closed loop from IP persona building, cycle plan customization, batch copywriting generation to short video production. The commercial value empowerment unit is used to integrate commercial scenarios such as digital human store visits, brand endorsements, business cooperation, and store traffic generation to achieve continuous monetization of IP.

[0009] Furthermore, the aforementioned short video intelligent generation module includes: a digital human image driving unit, an intelligent editing unit, an image quality optimization unit, a multi-format output unit, an autonomous video creation unit, and a product link mounting unit; The digital human screen driving unit is used to drive the digital human to complete the entire dynamic on-camera appearance, scene interaction, and verbal explanation based on the generated store visit script, and generate original virtual video material in real time. The intelligent editing unit is used to automatically complete video clip editing, shot switching, and duration adaptation to adapt to the dissemination patterns of short video platforms. The image quality optimization unit is used to enhance the clarity, adjust the color, and optimize the frame rate of the video image to improve the visual effect of the short video. The multi-format output unit is used to output short video products with different resolutions and aspect ratios that are adapted to multiple mainstream video platforms.

[0010] Furthermore, the aforementioned independent video creation unit is used to open an independent creation portal to ordinary users, allowing users to trigger AI to generate corresponding exclusive endorsement and store visit videos based on system presets or custom scripts, enabling ordinary users to create their own exclusive product endorsement short videos with zero barriers. The product link mounting unit is used to automatically embed and mount corresponding store product purchase links and group purchase order links in all AI-generated store visit and endorsement short videos. External users can directly jump to the link in the video to complete the purchase with one click, realizing the conversion loop of watching and buying immediately. The further omni-channel marketing delivery module includes a video forwarding and commission reward unit, which supports users to forward and share high-quality endorsement and store visit short videos with one click, generating an exclusive forwarding link with a unique recommendation traceability identifier; the system has a preset two-tier reward settlement mechanism to build a two-way incentive system for creators and recommenders; The dual-tier reward settlement mechanism specifically includes: when a user completes a product order through a dedicated video link forwarded by another person, the system automatically triggers commission settlement, distributing referrer rewards and creator creation rewards according to a preset ratio; for example, when the product transaction amount is fifty yuan, the referrer can receive a five yuan referral rebate reward, while the original video creator receives a corresponding creation reward, realizing a dual-track incentive model of referral rewards for forwarding and promotion and creation rewards for content creation.

[0011] Furthermore, the omni-channel marketing delivery module also includes a data collection unit, a visualization and control unit, and a performance tracking unit; The data collection unit is used to collect a full range of IP operation data, short video playback, likes, comments, forwards, and collection data, marketing campaign exposure, clicks, and conversion data, store visits, verification, and transaction data, as well as video forwarding traceability data, user order transaction data, and creator and recommender reward settlement data. The visualization control unit is used to build a visualization data backend, display the entire marketing process data to merchants in real time, and achieve integrated control.

[0012] The effect traceability unit is used to establish a data traceability model to accurately locate the contribution of short video content, distribution channels, IP persona, and user forwarding and promotion behavior to store traffic and sales, accurately distinguish between the creator's creative contribution and the recommender's promotion contribution, and provide accurate data basis for the two-tier reward settlement.

[0013] Furthermore, the system also includes a material library intelligent management module, which is used to classify and store store images, product materials, short video templates, sales script materials, and background music materials, and supports intelligent retrieval, one-click reuse, and real-time updates.

[0014] Furthermore, this includes the following steps: S1. Collect merchant store information, brand attributes and customer data, and generate exclusive AI store visit spokesperson digital human through the digital human customization modeling module; S2. Systematically package and continuously operate AI digital humans through the IP incubation and operation module to build an exclusive content IP system; S3. Analyze store scenarios and promotional needs through the store visit and endorsement scenario adaptation module to generate customized store visit scripts and endorsement plans; S4. Drive AI digital human generation and optimize the finished product of store visit and endorsement short videos through the short video intelligent generation module; S5. Achieve intelligent distribution and precise marketing of short videos across multiple platforms through the omni-channel marketing delivery module; S6. Collect marketing data throughout the entire process through the data closed-loop management module, complete effect analysis and strategy iteration, and realize integrated closed-loop marketing.

[0015] Compared to existing technologies, the advantages of this invention are: This invention achieves full-dimensional personalized replication of AI digital humans. It replicates faces and bodies based on real-life footage, and combines customized settings for voice, broadcasting style, subtitles, and background music to generate highly human-like exclusive digital human assets that are suitable for store visit and endorsement scenarios. This completely replaces real-life store visit bloggers, significantly reduces store marketing costs, and solves industry pain points such as limited availability of real-life personnel and low efficiency of real-life filming.

[0016] This invention constructs a systematic and sustainable IP incubation system. Through multi-dimensional persona building, differentiated IP type classification, precise matching of audience pain points, and phased operational strategy adaptation, combined with 30 days of uninterrupted original copywriting and automated video production, it achieves the continuous accumulation of store-specific IPs and solves the problems of homogenized traditional marketing content, lack of brand persona, and inability to accumulate private domain traffic.

[0017] This invention enables intelligent scene adaptation and zero-threshold video production. It can customize exclusive store visit scripts and endorsement plans for different store scenarios such as catering, retail, and service. It automates the digital human performance, video editing, image quality optimization, and link mounting. Ordinary merchants can routinely produce high-quality short videos for product promotion without professional skills, greatly improving content production efficiency.

[0018] This invention establishes a comprehensive marketing campaign and a two-way incentive-based viral marketing system, enabling intelligent distribution across multiple platforms and precise traffic exposure. At the same time, it stimulates users' motivation to forward and spread information through a two-tier commission mechanism, forming a dual-track promotion model of content creation + user viral marketing, which significantly improves store traffic and product conversion rates.

[0019] This invention constructs a closed-loop data management and control system for the entire process, which can collect all marketing, conversion, transaction, and commission data, accurately trace the contribution of each promotion stage, distinguish between creation and promotion value, provide accurate data support for revenue settlement and strategy iteration, and realize that the marketing process can be monitored, the effect can be traced, and the strategy can be optimized.

[0020] This invention achieves a fully automated closed-loop marketing system, encompassing digital human modeling, IP incubation, content production, video production, omnichannel distribution, traffic monetization, and data iteration. It enables routine marketing and promotion without human intervention, perfectly suited to the long-term, stable, and low-cost online marketing needs of offline stores, and possesses strong commercial applicability. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the overall process provided in the embodiments of the present invention; Figure 2 This is a schematic diagram of the internal subdivision process of the module provided in the embodiment of the present invention; Figure 3 This is a schematic diagram of the short video generation + delivery and conversion closed loop provided in the embodiments of the present invention; Figure 4 This is a schematic diagram of the overall system architecture provided in the embodiments of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0024] The present invention provides the following embodiments: First Implementation Example: Long-Term Store IP Incubation Based on Exclusive IP Creation Module This embodiment focuses on the IP incubation and operation module (exclusive IP creation module), taking the long-term store visit marketing of hot pot restaurants as the application scenario. It realizes a closed loop of the entire process of building IP personas, periodic operation, batch copywriting production, and automatic short video generation with zero human intervention, solving the industry pain points of vague IP personas, homogenized content, lack of operation system, and lack of continuous updates in traditional stores.

[0025] Implement basic configuration

[0026] The project focuses on offline popular hot pot restaurants. The core needs of these restaurants are to create a unique brand identity for the owners, consistently produce short video content such as restaurant reviews, menu information, and promotional activities, and drive continuous online traffic to the stores. The basic setup is completed using the system's IP persona information entry unit, IP type classification unit, and audience pain point configuration unit. Specific configuration parameters are shown in the table below.

[0027] Core Implementation Process

[0028] The first step involves completing the full-dimensional persona input through the IP persona information entry unit, identifying the store owner's IP positioning and target audience. The second step involves configuring core user pain points and matching them with a cold start operation strategy, setting a 30-day long-term operation cycle. The third step utilizes the batch copywriting intelligent generation unit to automatically generate differentiated and unique original copywriting for hot pot restaurant reviews, menu information, and promotional announcements daily based on an AI model. The fourth step uses the automatic video generation unit, in conjunction with the short video intelligent generation module, to automatically render standardized short videos by matching daily copywriting with real-world store footage and digital persona appearances. The fifth step leverages the commercial value empowerment unit to integrate restaurant visit traffic generation, group buying sales, and brand endorsement scenarios to monetize IP traffic.

[0029] Implementation Results

[0030] Within a 30-day cycle, 30 differentiated original short videos were automatically generated without any manual copywriting or video editing. The account persona was consistent, and the content was accurately matched to the audience's needs. Local exposure continued to increase, and the online group purchase redemption rate of stores increased by 45% compared to traditional marketing. The store's exclusive IP was successfully incubated and launched from scratch.

[0031] Example 2: Dual-track incentive-based traffic generation based on omni-channel marketing commission units

[0032] This embodiment focuses on the video forwarding and commission reward unit of the full-domain marketing delivery module described in this invention. It is adapted to the short video viral marketing scenario of physical stores, builds a two-way commission incentive system for creators and recommenders, and combines data traceability and visual management to realize a closed-loop marketing of full-domain distribution of short videos, spontaneous user viral marketing, and accurate conversion traceability, thus empowering the commercialization of IP. Implement core mechanisms Using local retail stores as the application scenario, and based on the system's two-tier reward settlement mechanism, a dual-track incentive model is constructed to reward content creators for creation and sharers for referrals. Simultaneously, through data collection and performance tracking units, the revenue of each party is accurately calculated, and marketing contributions are quantified. Specific commission incentive rules and data tracking results are shown in the table below:

[0033] Complete implementation process

[0034] First, after the system generates short videos, it automatically attaches links to store group buying and product ordering, and publishes them to major short video and social media platforms. Second, users can forward high-quality videos with one click, and the system automatically generates a unique link with a unique traceability identifier, binding the user's promotional identity. Third, when consumers complete an order through the traceability link, the system's performance traceability unit uses a data traceability model to accurately distinguish between the creator's content contribution and the recommender's promotional contribution, triggering automatic settlement of two-tier commissions. Finally, the data collection unit collects all playback, forwarding, transaction, and commission data, and generates marketing data reports through the visualization management unit, allowing merchants to manage and iterate their advertising strategies in real time.

[0035] Implementation Results

[0036] By activating users' spontaneous viral spread through a two-way incentive mechanism, the number of short videos forwarded by stores increased by 80%, and the overall exposure scope was greatly expanded. Relying on precise data traceability, the problems of unclear contribution, unfair commission distribution, and unquantifiable effects of traditional viral marketing were completely solved, and the online transaction conversion rate of stores increased by 38%, achieving low-cost, high-diffusion full-domain marketing traffic generation.

[0037] Example 3: Customized Modeling of Personalized AI Digital Humans Based on Real Person Replicas

[0038] This embodiment, based on the digital human customization modeling module and personalized customization parameters of the present invention, focuses on offline service stores to achieve a 1:1 replica of a real person's AI digital human customization, fully restoring the real person's appearance, voice, and broadcasting style, adapting to exclusive store visits and endorsement scenarios, and creating exclusive store digital human IP assets.

[0039] Implementation configuration and modeling process

[0040] With the core requirement of creating a realistic replica of the founder of a beauty and skincare store, users upload multi-angle real-life photos of the founder's face, body, and full body. Leveraging AI deep learning algorithms and realistic replica modeling technology, combined with scene-adaptive personalized parameters, the system achieves comprehensive customization. These parameters include: a 1:1 realistic appearance replica, accurate cloning of the founder's voice, a customizable gentle and immersive broadcast voice, exclusive luxury background music for the store, and high-end service-related subtitle templates. Based on real-life store scene materials, the system optimizes the digital human's interactive actions and broadcast tone to suit the high-end, professional endorsement and store visit scenarios of beauty salons.

[0041] Scene adaptation application

[0042] Through the store visit and endorsement scenario adaptation module, the characteristics of beauty industry store service scenarios and brand promotion needs are analyzed. Exclusive professional scripts, popular science explanation actions, and store evaluation scripts are matched for the replicated digital human. It can independently complete virtual store visit content such as store environment display, project introduction, skin care knowledge popularization, and brand endorsement, without the need for real people to appear on camera, and can produce professional short video content in batches all day long.

[0043] Implementation effect

[0044] The generated AI digital human highly replicates the appearance and voice characteristics of a real person, and the persona fits the brand tone of the beauty store. It completely solves the pain point of real store owners having limited time and being unable to appear on camera for continuous shooting. It can produce more than 5 exclusive store visit and endorsement videos every day, stably output store brand content, and create exclusive store digital human IP assets.

[0045] Example 4: A closed loop for intelligent generation and conversion of self-created short videos with zero barriers to entry

[0046] This embodiment is based on the short video intelligent generation module of the present invention, which is aimed at ordinary merchants and users, and realizes zero-threshold independent video creation, intelligent editing and optimization, automatic product link mounting, and a closed loop of instant conversion from viewing to buying. It is suitable for the needs of rapid production and marketing conversion of short videos for physical stores of all categories.

[0047] Core implementation functions

[0048] The implementation is based on six core modules: First, the digital human visual-driven unit, which drives AI digital humans to dynamically appear on camera, interact in scenes, and provide narration in real time based on customized store visit scripts, generating original virtual video materials; Second, the intelligent editing unit, which automatically completes shot switching, duration adaptation, and segment splicing to conform to the dissemination rules of short video platforms; Third, the image quality optimization unit, which enhances the clarity and adjusts the color of the video to improve the visual quality; Fourth, the multi-format output unit, which automatically generates videos with different resolutions and aspect ratios adapted to multiple platforms such as Douyin, Xiaohongshu, and WeChat Video Channel; Fifth, the self-made video creation unit, which provides an open, zero-threshold creation portal, allowing ordinary users to automatically generate their own store visit endorsement videos by simply inputting simple scripts without any editing experience; Sixth, the product link embedding unit, which automatically embeds store group buying and product order links.

[0049] Implementation process and transformation logic

[0050] Users can create custom text or select system preset templates to trigger AI generation commands; the system automatically drives a digital human to complete the recording, and simultaneously completes editing, image quality optimization, and music and subtitle adaptation to generate a finished short video with one click; after the video is published, users can directly jump to place an order or redeem a group purchase through the link attached to the video, realizing a closed loop of "video viewing - interest-based product discovery - direct order placement" without redirection.

[0051] Implementation Results

[0052] Lowering the barrier to entry for creating short videos for stores enables all staff to independently produce professional store visit and endorsement videos; video production efficiency is increased by 90%, and content quality and editing are standardized; the "see now, buy now" conversion model significantly shortens the consumption chain, and the conversion rate of short videos for store sales is significantly improved, forming an efficient content marketing conversion loop.

[0053] In summary, the above description is merely a preferred embodiment of the technical solution of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An integrated marketing system for AI-powered digital human-customized IP incubation, store visit endorsements, and short videos, characterized by: include: The module includes a digital human customization modeling module, an IP incubation and operation module, a store visit and endorsement scenario adaptation module, a short video intelligent generation module, and a full-domain marketing and placement module. The digital human customization modeling module is used to create a tiered and structured merchant store-specific information tailored to the store visit marketing scenario, precise marketing promotion customization needs, and scenario-adaptive user personalized customization parameters. Combined with real-world store visit scenario materials, it uses AI deep learning algorithms and real-person replication modeling technology to complete the full-dimensional customization modeling of a dedicated AI digital human, generating a dedicated AI digital human asset adapted to offline store visit and commercial endorsement scenarios. In addition, this module also supports the uploading of real-person multi-angle face, body shape, and full-body real-life shooting materials, and completes the dedicated AI digital human real-person replication modeling based on the real-life shooting materials, so as to achieve a digital human that highly restores the appearance features of a real person. The IP incubation and operation module is a customizable exclusive IP creation module, which includes: IP persona information filling unit, IP type classification unit, audience pain point configuration unit, operation strategy matching unit, cycle plan customization unit, batch copywriting intelligent generation unit, and video automatic production unit; The store visit and endorsement scenario adaptation module communicates with the digital human customization modeling module and the IP incubation and operation module respectively. It is used to analyze the characteristics of offline store scenarios, commercial promotion needs and brand endorsement demands, match the corresponding digital human persona, speech system and interactive actions, and generate store visit scripts and endorsement plans that are suitable for catering, retail and service stores. The short video intelligent generation module is connected to the store visit and endorsement scenario adaptation module. It is used to drive the AI ​​digital human to complete the dynamic rendering of virtual store visits, store check-ins, product evaluations, and brand endorsements based on the adapted store visit script and endorsement plan. It automatically completes subtitle matching, background music adaptation, editing and splicing, and image quality optimization, and generates standardized store visit and endorsement short video products with one click. The omni-channel marketing delivery module communicates with the short video intelligent generation module and is used to connect with major short video platforms, social platforms, and local life channels to complete the intelligent distribution, precise traffic delivery, topic attachment, and local exposure of short videos, thereby achieving omni-channel reach for store visits and brand endorsement promotion.

2. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 1, characterized in that, The scenario-adaptive user-personalized customization parameters are full-dimensional customization parameters for the store visit exclusive digital human, covering real-life shooting modeling to customize the digital human image, real-life voice cloning, custom broadcast voice, immersive scene broadcast tone, store-adaptive exclusive background music library parameters, and marketing-type dynamic subtitle style templates, to achieve all-round personalized customization of digital human image, voice, and broadcast style.

3. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 1, characterized in that, The IP persona information entry unit is used to provide a visual custom entry port, which supports users to fully enter basic IP persona information. The entry dimensions include: IP name - using the combination format of name + industry, custom external title, gender, date of birth, marital status, place of origin, place of work, industry, specific occupation, target audience, to complete the establishment of a comprehensive exclusive IP persona profile; The IP type classification unit is used to provide three optional IP type tags for users to select according to their own business scenarios. Specifically, these include store owner IP, non-store owner IP, and Woquwan IP. Different IP types correspond to independent character style libraries, copywriting systems, and content output styles. The audience pain point configuration unit is used to support users to customize input and select the user pain points and needs that the IP can solve. It supports selecting and configuring three core solutions at a time, which serve as the core content basis for subsequent AI copywriting and short video content output, ensuring that the IP content accurately matches the audience's needs. The operation strategy matching unit is used to intelligently match four types of standardized IP operation strategies based on the basic information of the IP account, personality positioning, and audience characteristics entered by the user. These strategies are available for the user to choose from: ice-breaking strategies for newcomers during the cold start period, trust-building strategies for the fan accumulation stage, monetization strategies for the traffic monetization stage, and custom strategies for personalized operation needs. Each strategy corresponds to a different content output rhythm, copywriting style, content focus, and fan operation logic. The cycle plan customization unit is used to support users to customize IP operation execution plans. Users can customize the plan start time, the total number of days in the operation cycle, and the daily content output quantity. It supports the configuration of a 30-day normalized long-term operation cycle to meet the operational needs of long-term IP incubation and continuous store visit content updates. The batch copywriting intelligent generation unit is used to bind the established exclusive IP persona, operation strategy and operation cycle. Based on the AI ​​big model algorithm, it generates exclusive IP store visit, endorsement and popular science copywriting with different styles on a daily basis. It can output different styles of original copywriting content every day within a 30-day cycle, which fits the IP persona positioning and stage operation goals. The video automatic production unit is used to connect with the batch copywriting intelligent generation unit and the short video intelligent generation module. It automatically matches the daily generated differentiated IP exclusive copywriting with the corresponding digital human on-screen footage and scene materials, and renders and generates the corresponding store visit endorsement short video with one click, completing a fully automated closed loop from IP persona building, cycle plan customization, batch copywriting generation to short video production. The commercial value empowerment unit is used to integrate commercial scenarios such as digital human store visits, brand endorsements, business cooperation, and store traffic generation to achieve continuous monetization of IP.

4. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 1, characterized in that, The short video intelligent generation module includes: a digital human image driving unit, an intelligent editing unit, an image quality optimization unit, a multi-format output unit, an autonomous video creation unit, and a product link mounting unit; The digital human screen driving unit is used to drive the digital human to complete the entire dynamic on-camera appearance, scene interaction, and verbal explanation based on the generated store visit script, and generate original virtual video material in real time. The intelligent editing unit is used to automatically complete video clip editing, shot switching, and duration adaptation to adapt to the dissemination patterns of short video platforms. The image quality optimization unit is used to enhance the clarity, adjust the color, and optimize the frame rate of the video image to improve the visual effect of the short video. The multi-format output unit is used to output short video products with different resolutions and aspect ratios that are adapted to multiple mainstream video platforms.

5. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 4, characterized in that, The self-created video unit is used to open up a self-created entry point for ordinary users, allowing users to trigger AI to generate corresponding exclusive endorsement and store visit videos based on system presets or custom text, enabling ordinary users to create their own exclusive live-streaming and endorsement short videos with zero barriers. The product link mounting unit is used to automatically embed and mount corresponding store product purchase links and group purchase order links in all AI-generated store visit and endorsement short videos. External users can directly jump to the link in the video to complete the purchase with one click, realizing a closed loop of conversion from watching to buying.

6. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 1, characterized in that, The omni-channel marketing delivery module includes a video forwarding and commission reward unit, which supports users to forward and share high-quality endorsement and store visit short videos with one click, generating an exclusive forwarding link with a unique recommendation traceability identifier. The system is designed with a two-tiered reward settlement mechanism to build a two-way incentive system for creators and recommenders; The dual-tier reward settlement mechanism specifically includes: when a user completes a product order through a dedicated video link forwarded by another person, the system automatically triggers commission settlement, distributing referrer rewards and creator creation rewards according to a preset ratio; for example, when the product transaction amount is fifty yuan, the referrer can receive a five yuan referral rebate reward, while the original video creator receives a corresponding creation reward, realizing a dual-track incentive model of referral rewards for forwarding and promotion and creation rewards for content creation.

7. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 6, characterized in that, The omni-channel marketing delivery module also includes a data collection unit, a visualization and control unit, and a performance tracking unit; The data collection unit is used to collect a full range of IP operation data, short video playback, likes, comments, forwards, and collection data, marketing campaign exposure, clicks, and conversion data, store visits, verification, and transaction data, as well as video forwarding traceability data, user order transaction data, and creator and recommender reward settlement data. The visualization control unit is used to build a visualization data backend, display the entire marketing process data to merchants in real time, and achieve integrated control. The effect traceability unit is used to establish a data traceability model to accurately locate the contribution of short video content, distribution channels, IP persona, and user forwarding and promotion behavior to store traffic and sales, accurately distinguish the creator's creative contribution from the recommender's promotion contribution, and provide accurate data basis for the two-tier reward settlement.

8. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claim 1, characterized in that, The system also includes a material library intelligent management module, which is used to classify and store store images, product materials, short video templates, sales script materials, and background music materials, and supports intelligent retrieval, one-click reuse, and real-time updates.

9. The AI ​​digital human customized IP incubation, store visit, endorsement, and short video integrated marketing system according to claims 1-8, characterized in that, Includes the following steps: S1. Collect merchant store information, brand attributes and customer data, and generate exclusive AI store visit spokesperson digital human through the digital human customization modeling module; S2. Systematically package and continuously operate AI digital humans through the IP incubation and operation module to build an exclusive content IP system; S3. Analyze store scenarios and promotional needs through the store visit and endorsement scenario adaptation module to generate customized store visit scripts and endorsement plans; S4. Drive AI digital human generation and optimize the finished product of store visit and endorsement short videos through the short video intelligent generation module; S5. Achieve intelligent distribution and precise marketing of short videos across multiple platforms through the omni-channel marketing delivery module; S6. Collect marketing data throughout the entire process through the data closed-loop management module, complete effect analysis and strategy iteration, and realize integrated closed-loop marketing.

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