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Leveraging Artificial Intelligence In Cryptocurrency For Enhanced Customer Relationship Management

Abstract: In today's digital age, the integration of artificial intelligence (AI) and cryptocurrency is revolutionizing the landscape of Customer Relationship Management (CRM) in e-commerce businesses. This paper explores how Al-driven cryptocurrency solutions can enhance CRM systems, driving personalized customer experiences, improving engagement, and boosting sales. AI algorithms can analyze vast amounts of customer data from cryptocurrency transactions, offering deep insights into purchasing behavior, preferences, and trends. This allows e-commerce businesses to tailor their marketing strategies and CRM processes more effectively, providing a more personalized and efficient customer journey. The fusion of AI and blockchain technology, inherent in cryptocurrencies, ensures secure and transparent transactions, fostering trust and loyalty among customers. By leveraging machine learning and predictive analytics, businesses can anticipate customer needs, automate responses, and provide real-time support, significantly enhancing customer satisfaction. Additionally, the decentralization aspect of cryptocurrency offers a higher level of security for customer data, reducing the risk of breaches and fraud. This invention also examines case studies where e-commerce businesses have successfully implemented AI-driven cryptocurrency solutions to enhance their CRM strategies. The findings indicate a notable improvement in customer retention rates, increased conversion rates, and overall customer satisfaction. The discussion extends to potential challenges and future prospects of integrating AI in cryptocurrency for CRM, highlighting the need for regulatory compliance, technological advancements, and strategic implementation. The synergy between artificial intelligence and cryptocurrency presents a transformative opportunity for e-commerce businesses to revolutionize their CRM practices, paving the way for a more secure, efficient, and customer-centric digital marketplace.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
20 September 2024
Publication Number
40/2024
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application

Applicants

VINAY KUMAR
ASSISTANT HEAD OF ACADEMICS. ASIAN INSTITUTE OF DESIGN (AID). 41, HAL OLD AIRPORT RD, OPPOSITE KEMP FORT MALL, MURUGESHPAL Y A, JEEVAN BIMA NAGAR, BENGALURU- 560017, KARNATAKA, INDIA.
ARPANA.D
PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
SANDHY A.V
ASSOCIATE PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
LEKSHMY S N
ASSISTANT PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU, -560069, KARNATAKA, INDIA .
PADMANABHAN
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA .
KAVYA K. M
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
R VENNILA
ASSOCIATE PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU- 560069
POOJA KUMARI
ASSISTANT PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU- 560069, KARNATAKA, INDIA.
SUDHA B S
ASSISTANT PROFESSOR. SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY). BEHIND BIG BAZAAR, BENGALURU- 560069, KARNATAKA, INDIA.
PRIYA A
ASSISTANT PROFESSOR, BRINDA VAN COLLEGE, BENGALURU, KARNATAKA, INDIA.
BASIL EALIAS
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
RAJA A J
ASSOCIATE PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.

Inventors

1. VINAY KUMAR
ASSISTANT HEAD OF ACADEMICS. ASIAN INSTITUTE OF DESIGN (AID). 41, HAL OLD AIRPORT RD, OPPOSITE KEMP FORT MALL, MURUGESHPAL Y A, JEEVAN BIMA NAGAR, BENGALURU- 560017, KARNATAKA, INDIA.
2. ARPANA.D
PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
3. SANDHY A.V
ASSOCIATE PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
4. LEKSHMY S N
ASSISTANT PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU, -560069, KARNATAKA, INDIA .
5. PADMANABHAN
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA .
6. KAVYA K. M
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
7. R VENNILA
ASSOCIATE PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU- 560069
8. POOJA KUMARI
ASSISTANT PROFESSOR, SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY), BEHIND BIG BAZAAR, BENGALURU- 560069, KARNATAKA, INDIA.
9. SUDHA B S
ASSISTANT PROFESSOR. SCHOOL OF COMMERCE STUDIES, JAIN (DEEMED-TO-BE UNIVERSITY). BEHIND BIG BAZAAR, BENGALURU- 560069, KARNATAKA, INDIA.
10. PRIYA A
ASSISTANT PROFESSOR, BRINDA VAN COLLEGE, BENGALURU, KARNATAKA, INDIA.
11. BASIL EALIAS
ASSISTANT PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.
12. RAJA A J
ASSOCIATE PROFESSOR, THE OXFORD COLLEGE OF BUSINESS MANAGEMENT, BENGALURU, KARNATAKA, INDIA.

Specification

FIELD OF THE INVENTION
The present invention relates to the field of Department of Commerce. Traditional CRM
systems often lack the depth of insight needed to fully understand customer behavior and
preferences. Additionally, data security remains a significant· concern. E-commerce
businesses need a more advanced, secure, and personalized approach to managing customer
relationships.
BACKGROUND OF THE INVENTION
[0001) Background description includes information that may be useful in understanding
the present invention. It is not an admission that any of the information provided herein is
prior art or relevant to the presently claimed invention, or that any publication specifically
or implicitly referenced is prior art.
[0002) US20230103078Al:- DISTRIBUTED-LEDGER-BASED MANUFACTURING
FOR VALUE CHAIN NETWORKS- Adistributed manufacturing network includes a
distributed ledger system and an artificial intelligence system. The distributed ledger
system is integrated with digital threads of a set of distributed manufacturing network
entities for storing information on event, activities and transactions related to the distributed
manufacturing network entities. The artificial intelligence system is configured to Jearn on a
training set of outcomes, parameters, and data collected from the distributed manufacturing
network entities to optimize manufacturing and value chain workflows.
[0003) US20220187847Al:- ROBOT FLEET MANAGEMENT FOR VALUE CHAIN
NETWORKS - A robot fleet management platform includes datastores configured to store
a governance library defining governance standards. Processors execute computer-readable
instructions to implement a governance-enabling intelligence layer that receives and responds to intelligence requests received from intelligence service clients.
The intelligence layer includes artificial intelligence services including machine learning,
rules-based intelligence, digital twin, robot process automation, and machine vision. The set
of governance standards is applied to decisions made by one or more of the set
of artificial intelligence services. An intelligence layer controller coordinates performance
of the artificial intelligence services on behalf of the intelligence service clients and
performance of analyses corresponding to the artificial intelligence services based on the set
of governance standards. The intelligence layer returns decisions determined by
the artificial intelligence services in response to the intelligence requests. The decisions are
determined based on intelligence service data sources and the set of analyses.
[0004] US20220051171Al:- DIGITAL TWIN FOR CONTROL TOWER AND
ENTERPRISE MANAGEMENT PLATFORM MANAGING ENTITY REPLICAS
AND E-COMMERCE SYSTEMS A value chain system that provides
recommendations for designing a logistics system generally includes a machine learning
system that trains machine-learned models that output logistics design recommendations
based on training data sets that each respectively defines one or more features of a
respective logistic system and an outcome relating to the respective logistics system;
an artificial intelligence system that receives a request for a logistics system design
recommendation and determines the logistics system design recommendation based on one
or more of the machine-learned models and the request; and a digital twin system that
generates an environment digital twin of a logistics environment that incorporates the
logistics system design recommendation, and one or more physical asset digital twins of
physical assets. The digital twin system executes a simulation based on the logistics
environment digital twin, the one or more physical asset digital twins.
[0005] US2021 0357959Al :- CONTROL TOWER AND ENTERPRISE
MANAGEMENT PLATFORM FOR VALUE CHAIN NETWORKS- A value chain
system that provides recommendations for designing a logistics system generally includes a
machine learning system that trains machine-learned models that output logistics design
recommendations based on training data sets that each respectively defines one or more
features of a respective logistic system and an outcome relating to the respective logistics
system; an artificial intelligence system that receives a request for a logistics system design
recommendation and determines the logistics system design recommendation based on one
or more of the machine-learned models and the request; and a digital twin system that
generates an environment digital twin of a logistics environment that incorporates the
logistics system design recommendation, and one or more physical asset digital twins of
physical assets. The digital twin system executes a simulation based on the logistics
environment digital twin, the one or more physical asset digital twins.
[0006] W02022133330Al:- ROBOT FLEET MANAGEMENT AND ADDITIVE
MANUFACTURING FOR VALUE CHAIN NETWORKS -A value chain network
automation system includes a supply chain robotic fleet data set including attributes of a set
of states and capabilities of a set of robotic systems in a supply chain for a set of goods. The
system includes a demand intelligence robotic process automation data set including
attributes of a set of states of a set of robotic process automation systems that undertake
automation of a set of demand forecasting tasks for the set of goods. The system includes a
coordination system that provides a set of robotic task instructions for the supply chain
robotic fleet based on processing the supply chain robotic fleet data set and the
demand intelligence robotic process automation data set to coordinate supply and
demand for the set of goods.
[0007]US20230222454Al :-ARTIFICIAL-INTELLIGENCE-BASED
PREVENTATIVE MAINTENANCE FOR ROBOTIC FLEET - A robotic [0011] The another objective of this proposed invention is To To Explore methods for
leveraging Al-driven insights to develop personalized marketing strategies that enhance
customer engagement and satisfaction.
[0012] The another objective of this proposed invention is To To Assess the role of
blockchain technology in providing secure and transparent transactions,. thus increasing
customer trust and reducing fraud risks.
(0013] The another objective of this proposed invention is To Develop a comprehensive
Al-driven system that integrates with cryptocurrency platforms to analyze transaction data.
[0014] The another objective of this proposed invention is To Utilize AI algorithms to gain
actionable insights into customer behavior, preferences, and purchasing trends.
[0015] The another objective of this proposed invention is To Implement personalized
marketing strategies based on Al-driven insights to enhance customer engagement and
satisfaction.
[0016] The another objective of this proposed invention is To Ensure robust data security
through blockchain technology, fostering customer trust and reducing fraud risks.
[0017] The another objective of this proposed invention is To Evaluate the effectiveness of
the proposed system through case studies and continuous improvement based on feedback
and performance metrics.
[0018] These together with other object of the invention, along with the various features of
novelty which characterize the invention, are pointed out with particularity in the
disclosure. For a better understanding of the invention, its operating advantages and the
specific object attained by its uses, reference should be had to the accompanying figures and
descriptive matter in which there are illustrated preferred embodiments of the invention.
SUMMARY OF THE INVENTION
[0019] In the view of the foregoing disadvantages inherent in the known types of human
computer interactions now present in the prior art, the present invention provides an
improved one. As such, the general purpose of the present invention, which will be described
subsequently in greater detail, is to provide a new and improved system to implement a
system to support the which has all the advantages of the prior art and none of the
disadvantages.
[0020] This invention proposes the integration of artificial intelligence (AI) with
cryptocurrency to revolutionize Customer Relationship Management (CRM) in ecommerce
businesses. By leveraging AI algorithms to analyze cryptocurrency transaction
data, the system aims to gain deep insights into customer behavior, preferences, and
purchasing trends.
[0021] These insights are used to drive personalized marketing strategies, enhancing
customer engagement and satisfaction. Additionally, blockchain technology ensures secure
and transparent transactions, fostering customer trust and reducing fraud risks. Through
case studies and continuous improvement, this invention seeks to establish a scalable CRM
solution that adapts to technological advancements and optimizes customer relationship
strategies in the digital marketplace.
[0022] These together with other summary of the invention, along with the various features
of novelty which characterize the invention, are pointed out with particularity in the
disclosure. For a better understanding of the invention, its operating advantages and the
specific summary attained by its uses, reference should be had to the accompanying figures
and descriptive matter in which there are illustrated preferred embodiments of the
invention.
DETAILED DESCRIPTION OF THE INVENTION
[0023] In the following detailed description, reference is made to the accompanying figures
which form a part hereof, and in which is shown by way of illustration specific
embodiments in which the invention may be practiced. These embodiments are described in
sufficient detail to enable those skilled in the art to practice the invention, and it is to be
understood that the embodiments may be combined, or that other embodiments may be
utilized and that structural and logical.
[0024] While the present invention is described herein by way of example using several
embodiments and illustrative figures, those skilled in the art will recognize that the
invention is neither intended to be limited to the embodiments of figures or drawings
described, nor intended to represent the scale of the various components.
[0025] Further, some components that may form a part of the invention may not be
illustrated in certain figures, for ease of illustration, and such omissions do not limit the'
embodiments outlined in any way. It should be understood that the figures and detailed
description thereto are not intended to limit the invention to the particular form disclosed,
but on the contrary, the invention covers all modification/s, equivalents and alternatives
falling within the spirit and scope of the present invention as defined by the appended
claims. The headings are used for organizational purposes only and are not meant to limit
the scope of the description or claims.
[0026] This present invention is examines the integration of artificial intelligence (AI) and
cryptocurrency in enhancing Customer Relationship Management (CRM) fore-commerce
businesses. It focuses on how AI algorithms can analyze cryptocurrency transaction data to
gain insights into customer behavior, preferences, and trends, enabling personalized
marketing and improved customer engagement. The study also explores the security
benefits of blockchain technology, case studies of successful implementations, and the challenges and future prospects of this integration. The aim is to provide a comprehensive
understanding of how Al-driven cryptocurrency solutions can revolutionize CRM strategies
in thee-commerce sector.
[0027) In the rapidly evolving digital economy, e-commerce businesses are continuously
seeking innovative ways to enhance customer relationship management (CRM) and
improve customer satisfaction. The integration of artificial intelligence {AI) with
cryptocurrency presents a ground breaking approach to achieving these goals. This proposal
outlines an innovative system that leverages AI to analyze cryptocurrency transaction data,
thereby enhancing CRM strategies in e-commerce.
[0028) Traditional CRM systems often lack the depth of insight needed to fully understand
customer behavior and preferences. Additionally, data security remains a significant
concern. E-commerce businesses need a more advanced, secure; and personalized approach
to managing customer relationships.
[0029) Enhanced understanding of customer behavior and·preferences through Al-driven
analytics. Improved customer engagement and satisfaction due to personalized marketing
strategies. Increased trust and loyalty from customers owing to secure and transparent
transactions. Higher conversion rates and customer retention as a result of targeted
marketing efforts. A scalable and adaptable CRM system that can evolve with technological
advancements and changing customer needs
[0030] Functional process diagram of this proposed system:-
Creating a functional process diagram for the proposed system that leverages Artificial
Intelligence in Cryptocurrency for Enhanced Customer Relationship Management (CRM)
in E-Commerce Businesses involves outlining the key steps and interactions. Here's a
simplified diagram:
• Data Integration & AI: Cryptocurrency transaction data is integrated into the CRM
system and processed using AI algorithms for analysis.
• AI-Driven Insights Generation: AI analyzes transaction data to generate insights
into customer behavior, preferences, and purchasing patterns.
• Personalized Marketing Automation: Insights are used to automate personalized
marketing campaigns and strategies tailored to individual customer profiles.
• Blockchain Technology: Blockchain ensures secure and transparent transactions,
enhancing trust and reducing fraud risks.
• Enhanced CRM Practices: Improved insights and secure transactions contribute to
enhanced CRM practices, leading to increased customer satisfaction, engagement,
and retention.
[0032] This diagram illustrates how the integration of AI with cryptocurrency can
streamline and enhance CRM processes in e-commerce businesses, from data collection
and analysis to personalized marketing and secure transactions, ultimately improving
overall customer relationship management.
ABCD Analysis:
A. Advantages:
• Enhanced Transactional Security: One of the primary advantages of using AI
with cryptocurrency in CRM is the enhancement · of security. Blockchain
technology, the foundation of cryptocurrency, is decentralized, immutable, and
secure by nature. AI enhances this by detecting patterns and identifying
irregularities in transaction data, flagging suspicious activities, and preventing
fraud. This creates a highly secure transaction environment, which is essential in ecommerce.
• Improved Customer Insights and Personalization: AI can process large amounts
of customer data, analyzing behaviors, preferences, and purchasing patterns. By
integrating AI with cryptocurrency in CRM systems, businesses can gain deeper
insights into customers who use cryptocurrencies, enabling hyper-personalized
services. For example, AI can suggest products, tailor marketing campaigns, and
provide real-time ~ecommendations based on cryptocurrency usage.
• Faster and More Efficient Transactions: Cryptocurrencies facilitate faster crossborder
payments, reducing the friction associated with traditional banking systems.
AI optimizes these cryptocurrency-based transactions by predicting market trends,
identifYing the best times for purchase, and offering customers real-time
recommendations. This results in smoother, more efficient payment processing for
both businesses and customers.
• Automated Customer Support: AI-powered chatbots and virtual assistants can
handle routine customer queries regarding cryptocurrency transactions, providing
instant support. This reduces wait times and enhances customer satisfaction by
offering 24/7 assistance. For example, AI chatbots can guide users through complex
cryptocurrency transactions, answer questions on exchange rates, or troubleshoot
issues during checkout.
• Scalable Global Reach: Cryptocurrencies are not tied to specific national
currencies, making them an ideal payment method for cross-border transactions. AI
can facilitate international e-commerce growth by optimizing logistics, currency
conversion, and compliance management. This scalability allows businesses to
reach global markets more easily and cater to international customers with minimal
payment barriers.
B. Benefits:
• Cost Reduction: AI and cryptocurrency integration reduces transaction fees and
overhead costs associated with traditional payment methods, particularly for
international payments. The decentralization of blockchain eliminates the need for
intermediaries, and AI-driven automation reduces the need for manual intervention
in CRM processes.
• Increased Customer Trust and Loyalty: The combination of AI's predictive
capabilities with blockchain's transparency creates an environment of trust.
Customers are more likely to adopt cryptocurrencies when they see that their
transactions are secure, efficient, and easy to manage. AI-enhanced loyalty
programs, which dynamically adjust rewards based on cryptocurrency transactions,
can further incentivize customers to continue using a platform.
• Optimized Decision-Making: AI algorithms can process data in real-time,
providing businesses with actionable insights. This leads to more informed
decisions on pricing strategies, customer targeting, and marketing efforts. In
cryptocurrency-related transactions, AI can predict trends, helping businesses and
customers make better financial decisions, such as when to trade or hold their digital
assets.
• Seamless User Experience: AI can personalize the user experience by adjusting the
customer interface to each individual's needs and preferences. It can also ensure that
customers using cryptocurrency face minimal friction during the checkout process,
which leads to higher conversion rates and overall customer satisfaction.
[0033] Leveraging AI in cryptocurrency for enhanced CRM in e-commerce businesses
presents a wide array of advantages, from improving transactional security to offering
personalized customer experiences. However, it also comes with challenges such a regulatory concerns, technical complexity, and potential customer hesitancy. While AI and
cryptocurrency have the potential to revolutionize the e-commerce landscape, businesses
must carefully weigh the benefits and constraints to determine the most effective strategies
for implementation.
WE CLAIM
I. The proposed invention aims to revolutionize CRM in e-commerce by leveraging
the power of AI and cryptocurrency. By providing deep insights into customer
behavior, enhancing personalized marketing, and ensuring data security, this
innovative system has the potential to significantly boost customer satisfaction and
business success.
2. Gain profound insights into customer behavior, preferences, and purchasing
patterns.
3. Automate personalized marketing strategies tailored to individual customer needs
and interests.
4. Ensure robust data security and transparency through blockchain technology,
thereby enhancing customer trust and loyalty.
5. Improve overall customer satisfaction, engagement, and retention rates through
targeted and efficient CRM practices.

Documents

Application Documents

# Name Date
1 202441071077-Form 9-200924.pdf 2024-09-24
2 202441071077-Form 5-200924.pdf 2024-09-24
3 202441071077-Form 3-200924.pdf 2024-09-24
4 202441071077-Form 2(Title Page)-200924.pdf 2024-09-24
5 202441071077-Form 1-200924.pdf 2024-09-24
6 202441071077-correspondence-200924.pdf 2024-09-24