WO2022264160A1 - Plateforme interactive et procédé associé de création de contenu pour un produit ou des services et fourniture de récompenses basées sur la performance - Google Patents

Plateforme interactive et procédé associé de création de contenu pour un produit ou des services et fourniture de récompenses basées sur la performance Download PDF

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Publication number
WO2022264160A1
WO2022264160A1 PCT/IN2022/050474 IN2022050474W WO2022264160A1 WO 2022264160 A1 WO2022264160 A1 WO 2022264160A1 IN 2022050474 W IN2022050474 W IN 2022050474W WO 2022264160 A1 WO2022264160 A1 WO 2022264160A1
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Prior art keywords
content
product
platform
consumer
video
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PCT/IN2022/050474
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English (en)
Inventor
Achuthanand Neelambaran
Anshad Ameenza
Anand P.V.
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Dereign Technologies Private Limited
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Publication of WO2022264160A1 publication Critical patent/WO2022264160A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/101—Collaborative creation, e.g. joint development of products or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0242—Determining effectiveness of advertisements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0273—Determination of fees for advertising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0276—Advertisement creation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q2220/00—Business processing using cryptography
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program

Definitions

  • the present invention relates to video content creation using AI and Machine Learning on Digital Platforms.
  • the present invention relates to a unique process and method whereby Product Company or Service Company can share the requirement as Promotion Challenge to the platform where true consumers or content creators or group content contributors can take part.
  • the Platform provides real-time validation and assistance (using Artificial Intelligence and Machine Learning Algorithms) ensuring the quality of the Promotion during content live recording and offline upload as well.
  • the Product Company or Advertisement Company provides rewards based upon the Performance of the Published Promotion rating.
  • a component causes a video program having an interactive advertisement to be displayed to a user on a display screen.
  • the interactive advertisement includes an enhanced content activator.
  • enhanced advertisement information including at least one trigger is provisioned.
  • the enhanced advertisement information is then caused to be displayed with the video program and the interactive advertisement.
  • a selection by the user of the at least one trigger associated with the enhanced advertisement information is monitored.
  • access to further content associated with the enhanced content information is provided.
  • the invention comprises of receiving, at a set-top box, a video program including a tag indicating an object in the video program which is to be overlaid; determining one or more advertisers promoting the tagged object; selecting an advertisement object, of one of the advertisers, associated with the tagged object.
  • a template may be provided including at least one digital media asset and one or more placeholders, each placeholder associated with a respective dynamic content object and a respective layout.
  • the system and method may extract from one or more websites, for example, e-commerce sites, data items corresponding to each of the dynamic content objects, and generated a composite video clip including the media asset, wherein the dynamic content objects are replaced with respective extracted data and presented in association with the media asset based on their respective layouts.
  • An method for generating an advertisement by a computer comprising: providing a template for an advertisement including at least one dynamic component and at least one static component; selecting a dynamic data object linked to a placeholder associated with the dynamic component; automatically generating one or more video advertisements based on the template advertisement, wherein each video advertisement is personalized or customized based on data sources referenced by the dynamic data object.
  • the invention relates to a system for managing or distributing promotional offers to one or more users, each with one or more characteristics, comprising: one or more utilities configured to track the distribution of one or more promotional offers to one or more eligible users; one or more utilities configured for defining one or more sets of rules; one or more utilities configured for applying one or more sets of rules; wherein the one or more sets of rules define various properties of the one or more promotional offers; and wherein the one or more eligible users are a subset of the one or more users.
  • the A method and system for enabling consumer-creators to create advertisements on behalf of advertisers on an electronic network includes the uploading or creating of an ad on a given website by a consumer-creator and offering the ad to advertisers or publishers or visitors for presentation on various medium (electronic or otherwise) where the ad can be available on the given website or linked to the given website from another website.
  • the method can enable the selection of an ad (that has been uploaded or created by the consumer-creator) by an advertiser or a publisher or visitor.
  • the method can also broker a relationship among the consumer-creator, visitor, advertiser, or publisher.
  • the method can also track usage of the ad and automatically enable payment for the use of the ad based on the relationship brokered and the use tracked of the ad.
  • the present disclosure is directed to a system for automatically managing media campaigns.
  • This system can receive media campaign parameters from a user, identify and recruit media content creators to create media for the user's media campaign, and manage and track performance of the created media.
  • the invention relates to a service system according to an embodiment of the present invention includes: an advertiser device for registering marketing information and compensation condition information in a contract market on a block chain network; An influencer terminal that enters into a marketing contract selected in the contract market, stores it on the blockchain network, and provides the influencer content and the user behaviour tracking SDK module corresponding to the influencer content on the network for marketing.
  • a service device that provides verification processing and transaction processing for processing to be processed and collecting data of the user terminal so that the step-by-step compensation is appropriately compensated by the influencer terminal.
  • the invention relates to The disclosed embodiments provide a subscription-based video-content- distribution platform for providing a wide range of video contents from a wide range of content providers (including both social-media-influencer (SMI) video producers and non-SMI video producers) to the subscribers of the video content distribution platform and also promote a wide range of products and services associated with participating advertisers to the subscribers through the video contents distributed on the video-content-distribution platform.
  • content providers including both social-media- influencer (SMI) video producers and non-SMI video producers
  • the disclosed content- distribution platform allows advertisers to reach a wide range of audiences, including both the subscribers of the video-content-distribution platform and followers of participating SMIs via their multiple social media accounts; and also allows the advertisers to allocate an amount of products and/or services as reward distribution among the subscribers in return for receiving media-buying-free advertisements of the products and services on the video- content-distribution platform.
  • a computer-implemented method of providing reward points associated with products and services of a group of advertisers to a subscriber of a video content distribution platform comprising: receiving a second selection from the subscriber of a desired video from the list of relevant videos; and playing, on the screen of the subscriber's device, the selected video based on the second selection, whereby allowing the subscriber to claim reward points associated with the desired reward while watching the selected video.
  • None of the above invention provides to a unique process and method whereby Product Company or Advertisement Company can share the requirement as Promotion Challenge to the platform where true consumers or content creators or group content contributors can take part.
  • the Platform provides real-time validation and assistance fusing Artificial Intelligence and Machine Learning ensuring the quality of the Promotion during content live recording and offline upload as well.
  • the Product Company or Advertisement Company provides rewards upon the Performance of the Published Promotion rating.
  • the principal object of this invention is to provide an interactive platform and associated method of content creation for product promotion or service promotions providing performance- based reward system wherein the video content is created on the basis of product or service content guidelines using AI and Machine Learning ensuring the quality of the Promotion during content live recording and offline upload as well.
  • Another objective of the invention is to provide platform where true consumers or content creators or group content contributors can take part.
  • Another objective of the invention is to provide content creators or group content contributors derived from consumer true value system consisting of Product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge and Product Badge.
  • Another objective of the invention is to provide system and computer implemented method of content creation and promotion of the product.
  • Another objective of the invention is to provide product challenges that include Participant Selection Criteria, content creation Video Certification Criteria, and Rewards Distribution Details to the Participants.
  • Another objective of the invention is to provide a platform for interactive Digital assistance to help the Content Creator to make content guidelines adherence Vibrant, Fresh, Engaging, Authentic, collaborative, localised contents in much effective, scalable, economical way.
  • Another objective of the invention is to provide a platform that would create win- win solution for both Product Companies (Much cheaper content creation) as well as the Buyers (Public would get an opportunity to earn or get product discounts).
  • Another objective of the invention is to provide a platform wherein the digital certified advertisement would be sent to broadcast queue for promotions and reward journey.
  • Another objective of the invention is to provide a platform wherein the digital certified content would be sent to broadcast queue for promotions and reward journey.
  • An interactive platform and associated method of content creation for product promotion providing performance based reward system wherein the video content is created on the basis of product guidelines using AI and Machine Learning ensuring the quality of the Promotion during content live recording and offline upload as well; said video created through social media influencer derived from product consumer true value system or content creator or content group contributor; said platform is an online web and/or mobile-based platform that allows users of different locations to interact and access the platform wherein the product consumer or content creator or content group contributor is rewarded based on the content performance; said platform provides industrial and social benefits through digital campaign wherein the platform provides solutions to various challenges on current influencers and content contributors.
  • the challenge includes Participant Selection Criteria, content creation Video Certification Criteria, and Rewards Details to the Participants.
  • the eligible participants are intimated through the platform or participant can themselves participate through the Platform.
  • AI Real-time and Offline System to assist the user to capture, filter and publish the Digital content are provided.
  • the digital certified content for the product or service would be sent to broadcast queue for promotions and reward journey
  • FIG. 1 represents AI and Machine Learning solutions to validate, authenticate & enhance content creation.
  • the flowchart shows AI toolkit that comprises of five different, but related components. The potential use cases under each component along with their high-level solutions using a combination of Artificial Intelligence, Image Processing and Computer Vision techniques are described briefly wherein
  • AI Genie (2) AI Genie does near real-time recommendations and offline evaluation report during and after the video recording. The suggestions are powered by the AI Metric and AI Authenticate components, which does criteria validation (5) and veracity validation (3) respectively, on the input video frames. Further, it can also provide video capture assistance with the help of AI Capture (7) module and adds additional value with AI value (12) module as well.
  • AI Genie (2) would provide real-time suggestions using AI Metric-Spot (11) module, while the video is being recorded.
  • AI Metric-Spot (11) module For example, light-weight validations such as pet or object exclusions, background preference etc.
  • AI Capture component aims to assist and augment the content video capture procedure such as Automatic suggestion of camera placement to better the ad video capture; Computation of anatomical features to recommend better person pose; Compute vibration ratio using image "key point displacement algorithm" to detect camera vibrations.
  • AI Authenticate This component aims to analyse how authentic and dependable the content review is. Veracity of the content/ad could be judged from the identity, words, emotions and also the features in the audio channel.
  • A Here transcribing the audio channel to converting video to text is done. Used Natural Language Processing (NLP) to confirm whether product features are mentioned or explained in the transcript.
  • B Identify the character and extract the rating based on his/her popularity from history data base. Face Recognition Models can be deployed to implement this use case (C) If the person has interest in doing the content creation/ad, and then the content/ad is more likely to be authentic.
  • NLP Natural Language Processing
  • AI Metric (9) This is the core AI component which does video validation, both real-time & offline to give input to AI Genie.
  • the real-time sub-component is known as AI Metric-Spot and the offline component is called AI Metric-Deep.
  • AI Metric-Spot (11) Real-time validation use-cases include, but not limited to- Background Preference & Exclusions wherein image processing techniques like Background Subtraction and Image Segmentation can be used to identify such features; Pet Presence or Absence where object detection models such as YOLO trained on pets; Object Exclusions where object detection models like SSD trained on such objects can be deployed.
  • Offline validation use-cases include, but not limited to Number of Person(s): where Human Detection AI models are to be used; Gender Preference & Exclusions: where Face Localization and Gender Detection Models used; Minimum Video Duration & Other Exclusions where video processing libraries & Computer Vision is analysed.
  • AI Value component aims to add value to the video by adding meta-data, suggestions, timeline segmentation, character extraction, transcription, summary etc.
  • Some of the identified use-cases include, but not limited to, Identify competing brands where text extraction from Natural Scenes is (MSER) to be employed.
  • Resonance Prediction ML-based prediction of audience resonance using derived features such as age, gender, video duration, location, gadget, language etc.
  • ML system will continuously compute performance metrics of existing ads in the system.
  • Frame Labelling Label individual video frames using Object Detection to add to ML features.
  • Customer Feedback The feedback from consumers is consolidated and sends to product companies, so that they get to hear voice from the ground to improve the product.
  • FIG 2 shows the relationship between AI components in the Venn diagram below.
  • AI Capture and Value (13) and AI Authenticate (integrity validation) (14) shows unconfirmed (18) content or advertisement and AI Authenticate (integrity validation and AI metric (Criteria Validation) shows valid and genuine (17) content creation.
  • AI capture and value shows valid and enhanced (19) content.
  • Figure 3 Shows how true value is generated in the present invention where buyer is validated based on product continuity (20), buyer feedback is validated on the product performance attributes (21), then authenticity is validated using AI through the product performance attributes (22), then AI capture authenticity is done using computer vision.
  • FIG 4 Shows various components of the content creation such as transact system (25), consumer segmentation (27) and true product consumer (28).
  • the transact system of digital content creation comprises of e-commerce, fintech and any system in which a consumer interacts on a product purchase/land. After the process of transact system is over the management of invoice Consumer segmentation is done.
  • the consumer segmentation (27) comprises of product purchase continuity, consumer segment badge and product/brand badge.
  • the consumer segmentation basically consists of true product consumer (28) that comprises of consumer data repository as shown in figure 4. Based on the purchase continuity i.e. shopping and frequency of shopping a certified product user is determined. Based on the shopping categories and frequency of the purchase, a product badge is created and the same can be upgraded on the basis of product engagement i.e. feedback content creation and influence.
  • Figure 5 shows the consolidated diagram of entire process involved in digital content creation and reward guidelines as shown in figure.
  • the main objective is provided as goals need to achieve through the content creation and reward guidelines (33) and brand guidelines (34).
  • Brand legal guidelines comprise of brand name, product name brand visual aspects (35).
  • the challenge content guidelines comprises of number of persons, gender preference and exclusions, background colour preference, any pets, any environment preference and exclusions, objects materials preference and exclusions, minimum duration of video ad and exclusions, find the person and extract the rating based on their popularity from historical data.
  • the participant selection guidelines are based on the skills, demographics and true product consumer.
  • These components (37) are criteria for true consumer or content creator.
  • True product consumer is determined by consumer filter which is one of the most important filters of consumer filter based on consumer data repository (40).
  • the consumer data repository (40) comprises of consumer dataset curated and tagged from the external of internal e-commerce source based on user purchase history and other product engagement or brand engagement.
  • the rewards distribution would be recorded against the corresponding challenges based on rewards repository (41).
  • the reward repository is the results of reward manager (47) based on contributor participation reward, brand contributor selection reward, content/strategy submission reward.
  • Content strategy selection reward, mile stone- reward/threshold based reward such as KPI, CPC KPI and sale driver KPI. All the guidelines (34) are used as challenge repository that consist of the objective, challenge plan and reward plan.
  • the user picks up the challenge from the repository (42) and takes part in the challenge participation. It is also mentioned that filtered participants takes part in challenge.
  • the certified content after the challenge is then pushed to the content repository for broadcast by content publish engine wherein it also determines reward manger.
  • the participant can leverage various digital/non-digital tools to create more collaborative, vibrant, fresh engaging, authentic and quality content and leads to the "platform digital assistance for content creating, platforms content quality guidelines manager, provider repository and collaborative contributor marketplace" (50) that leads to group content contributors.
  • the platform content quality guideline manager consists of quality attributes (51) (video lighting, non blur, vibration massage quality) (54) and content moderation (51) (censored, minors, drugs, weapons, hate, alcohol, offensive gestures (55).
  • the provider repository comprises of "physical assets and physical location" (52).
  • the collaborative contributor marketplace comprises of strategy contributors, content contributors and influencer (53).
  • the platform digital assistance for content creation validates and assists over the content guidelines for "live recording assistance and official upload validation” (44). This leads to AI tool kit as shown in figure 1.
  • the AI value i.e. (containing text extraction, emotion, character etc. for the product recommendation and improving the platform capacity is decide by user data dictionary (46).
  • Word-of-mouth marketing differs from naturally occurring word of mouth, in that it is actively influenced or encouraged by organizations;
  • AI Pipelines and Algorithms Flow of AI modules one feeding into another to produce a certain outcome. Each module may implement one or more AI algorithms;
  • Product Company or Brand (32) A type of product manufactured by a particular company under a particular name; the product company is the platform user who creates Promotion Challenge for Advertisement , Marketing or content creation and who supplies Rewards to the Product Consumers based on their Performance of the Published Promotion rating.
  • Content Creator is someone who is responsible for the contribution of information to any media and most especially to digital media they usually target a specific end-user/audience in specific contexts;
  • Content Contributor A content contributor is someone who is responsible for the contribution of information, physical assets required for the content Creation (e.g.: camera, tripod, customers etc.), provide physical location (provide the shop space or private space for the shooting any video content).
  • physical assets required for the content Creation e.g.: camera, tripod, customers etc.
  • provide physical location provide the shop space or private space for the shooting any video content.
  • Adherence Ensure the Product Guidelines and Quality Guidelines are met. Quality guidelines can be added by the platform to ensure the Vibrant, Fresh, Engaging, Authentic attributes.
  • AI & Machine Learning are subfields of AI Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without being explicitly programmed where to look or what to conclude;
  • Social Media Influencer is a user on social media who has established credibility in a specific industry. A social media influencer has access to a large audience and can persuade others by virtue of their authenticity and reach;
  • An interface is a programming structure/syntax that allows the computer to enforce certain properties. Brand user can provide the Brand Guidelines, Quality Guidelines, Demographic Guidelines, Industry and Consumer Trend Guidelines;
  • Buyer Journey (Awareness, Consideration, and Decision Stages): The buyer's journey is a framework that acknowledges a buyer's progression through a research and decision process ultimately culminating in a purchase;
  • Behavioural Targeting This is a term used to describe targeting based on data which is gathered on a user. This can be as simple as age or gender as entered on a site in your login details, or just your recent web browsing habits;
  • Consumer True Value System The Content Creators derived from Product Consumers based on Product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge, Product Badge brings new Marketing Model called Consumer True Value System.
  • Word of Mouth Marketing is the most pristine form of content creation in the form video for any product or service that is available in the market.
  • the system aims to digitize and promote WOMM on products that are offered on any digital Platform, by aligning the needs of the Product companies or brand with what the public can offer.
  • the present invention provides the use of AI pipelines and algorithms to automate the content creation in accordance with the need of product companies or brand. Furthermore, the content creators could be suitably rewarded based on their performance, again evaluated using AI & Machine Learning. Not just the validation, but the Authenticity and Value Addition of the content are proposed to be done using AI to certify a recorded video as True Value Advertisement/content.
  • the invention particularly provides industrial and social benefits through the innovations in content creation for the product promotion. With the rapid growth on digital technologies and social networking platforms, large people are getting involved on content creation through Social Media Influencer Marketing.
  • the present invention brings large automation to this industry, Brand wherein the requirement is provided through programmable brand guidelines and content would be created in semi-automated and automated using AI and Machine Learning.
  • the system provides filter for true consumers whose content product knowledge, product experience and product engagement experience create vibrant, fresh, engaging, authentic, collaborative, localised content.
  • the present inventions uplift and democratize Influencer Marketing to Large Diverse Content Creators for scalability and cost-effectiveness through the digital brand content campaigns.
  • the Brand content campaign can be created through a Programmable Interface, where Brand user can provide the Brand Guidelines, Quality Guidelines, Demographic Guidelines, Industry and Consumer Trend Guidelines.
  • the AI System tailors and validates through the content Campaigns Guidelines to generate content with quality.
  • the content creators derived from product consumers based on their product Continuity Ratio, Consumer Product Engagement Ratio, Consumer Brand Influencing Ratio, Consumer Badge, Product Badge creates a new digital marketing model called Consumer True Value System.
  • the Consumer True Value system further enriches the content by adding trust and product experience. The same is presented as an indicator into the created Content to keep a transparency and attract more consumers to take part on Buyer Journey that comprises of Awareness, Consideration, and Decision Stages.
  • Product consumer's performance rating is measured for rewards on the basis of Consumer Views, Click Rating, Influenced Sales Rating, Influenced Product Rating, and Locality Reach Rating.
  • the present invention provides solution to system having various challenges on Current Influencer Marketing. Such challenges comprises of
  • the detail process involve in the present inveniton can be analysed in figure 5 Wherein it shows the consolidated diagram of entire process involved in digital content creation and reward guidelines.
  • the main objective is provided as goals need to achieve through the content creation and reward guidelines (33) and brand guidelines (34).
  • Brand legal guidelines comprise of brand name, product name brand visual aspects (35).
  • the challenge content guidelines comprises of number of persons, gender preference and exclusions, background colour preference, any pets, any environment preference and exclusions, objects materials preference and exclusions, minimum duration of video ad and exclusions, find the person and extract the rating based on their popularity from historical data.
  • the participant selection guidelines are based on the skills, demographics and true product consumer.
  • These components (37) are criteria for true consumer or content creator.
  • True product consumer is determined by consumer filter which is one of the most important filters of consumer filter based on consumer data repository (40).
  • the consumer data repository (40) comprises of consumer dataset curated and tagged from the external of internal e-commerce source based on user purchase history and other product engagement or brand engagement.
  • the rewards distribution would be recorded against the corresponding challenges based on rewards repository (41).
  • the reward repository is the results of reward manager (47) based on contributor participation reward, brand contributor selection reward, content/strategy submission reward.
  • Content strategy selection reward, mile stone- reward/threshold based reward such as KPI, CPC KPI and sale driver KPI. All the guidelines (34) are used as challenge repository that consist of the objective, challenge plan and reward plan.
  • the user picks up the challenge from the repository (42) and takes part in the challenge participation. It is also mentioned that filtered participants takes part in challenge.
  • the certified content after the challenge is then pushed to the content repository for broadcast by content publish engine wherein it also determines reward manger. From the challenge participation the participant can leverage various digital/non-digital tools to create more collaborative, vibrant, fresh engaging, authentic and quality content and leads to the "platform digital assistance for content creating, platforms content quality guidelines manager, provider repository and collaborative contributor marketplace" (50) that leads to group content contributors.
  • the platform content quality guideline manager consists of quality attributes (51) (video lighting, non blur, vibration massage quality) (54) and content moderation (51) (censored, minors, drugs, weapons, hate, alcohol, offensive gestures (55).
  • the provider repository comprises of "physical assets and physical location” (52).
  • the collaborative contributor marketplace comprises of strategy contributors, content contributors and influencer (53).
  • the platform digital assistance for content creation validates and assists over the content guidelines for "live recording assistance and official upload validation” (44).
  • the AI tool kit (45) comprises of AI Genie for live/offine assistance, AI engine which perform all the data analytics to ensure the quality of the video, AI Face which make the corrections and apply intelligent changes on video on any failed criteria, and the AI value i.e. (containing text extraction, emotion, character etc. for the product recommendation and improving the platform capacity is decide by user data dictionary (46).

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Abstract

Une plateforme interactive et un procédé associé de création de contenu pour une promotion de produit ou une promotion de service fournissant une récompense basée sur la performance sont divulgués. Un système de plateforme numérique IA à travers lequel la marque peut programmer sa campagne de contenu et la plateforme fournissent une assistance numérique interactive pour aider le créateur de contenu à créer du contenu vivant, frais, engageant, authentique, collaboratif et localisé de manière très efficace, échelonnable et économique. Un système et un procédé mis en œuvre par ordinateur dans lesquels une société de produits ou une société de services crée un défi de contenu vidéo numérique. Le défi comprend des critères de sélection de participant, des critères de certification de vidéo de création de contenu et des détails de récompenses aux participants. Les participants éligibles sont envoyés sur la plateforme ou le participant peut participer lui-même sur la plateforme (43). L'invention concerne un système d'IA en temps réel et hors ligne pour aider l'utilisateur à capturer, filtrer et publier le contenu numérique. Le contenu certifié numérique pour le produit ou le service est envoyé à une file d'attente de diffusion pour des promotions et une expérience de récompense.
PCT/IN2022/050474 2021-06-16 2022-05-19 Plateforme interactive et procédé associé de création de contenu pour un produit ou des services et fourniture de récompenses basées sur la performance WO2022264160A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160189198A1 (en) * 2014-12-30 2016-06-30 Reelio, Inc. Automated media campaign management system
WO2018126288A1 (fr) * 2016-12-30 2018-07-05 Social Media Broadcaster, LLC Plate-forme de distribution de contenus vidéo à mécanismes de collecte de publicité et de récompense intégrés
KR20200139960A (ko) * 2019-06-05 2020-12-15 버즈앤비 주식회사 블록체인을 이용한 인플루언서 기반 마케팅 플랫폼 시스템

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160189198A1 (en) * 2014-12-30 2016-06-30 Reelio, Inc. Automated media campaign management system
WO2018126288A1 (fr) * 2016-12-30 2018-07-05 Social Media Broadcaster, LLC Plate-forme de distribution de contenus vidéo à mécanismes de collecte de publicité et de récompense intégrés
KR20200139960A (ko) * 2019-06-05 2020-12-15 버즈앤비 주식회사 블록체인을 이용한 인플루언서 기반 마케팅 플랫폼 시스템

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