Ai-Driven Digital Collections For Lending Business

Posted By: ELK1nG

Ai-Driven Digital Collections For Lending Business
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 447.62 MB | Duration: 1h 15m

Transforming Loan Recovery with AI, Automation, and Data-Driven Digital Collection Strategies

What you'll learn

Learn AI based digital collection

Digital lending

Evolution from Traditional to Digital Lending collection

How to achieve efficiency and optimize collection process

Digital collection and personalised process

Requirements

Basic idea of lending

Digital lending experience

Description

AI-Driven Digital Collection in the Lending Business.This course dives deep into the emerging field of AI-powered digital collections within the lending and financial services industry. Whether you're a banker, fintech professional, NBFC, or simply curious about how technology is reshaping debt collection, this course offers actionable insights, practical frameworks, and real-world applications.What You Will LearnThe evolution from traditional to digital collection strategiesCommon issues and inefficiencies in legacy collection systemsCore concepts and key features of digital collectionsHow digital and AI-driven tools help tackle top collection challengesRegulatory, technological, and data enablers behind this transformationA step-by-step walkthrough of a digital collection process flowUse of AI for segmentation, risk scoring, customer nudging & automationCourse OverviewIn this course, we begin with an introduction to the modern collection landscape, explaining how AI is influencing credit recovery. We then examine the challenges and limitations of traditional collection methods and demonstrate how AI and digital systems can address these issues.You'll learn about the features and benefits of a digital collection ecosystem, supported by the key technology, data, and regulatory enablers. The course also showcases AI-powered capabilities like predictive modelling, conversational agents, and digital nudging strategies used by leading lenders today.This Course Is ForProfessionals working in lending, NBFCs, fintechs, and banksCollection and recovery agents looking to upskillCredit risk and operations managersDigital transformation and product managersAnyone interested in the future of credit recovery and AI in financeWhy Take This Course?As lending businesses scale, manual collection strategies become unsustainable. Digital collection isn’t just a tech upgrade; it’s a strategic shift. With rising NPAs, customer expectations, and regulatory scrutiny, the need for AI-driven, compliant, and customer-centric collection approaches is more important than ever.By the end of this course, you’ll be equipped to:Understand the full spectrum of digital collectionEvaluate tech tools and AI models that enhance collectionsDesign or improve digital collection strategies in your organisationGlobal FinTech Academy

Overview

Section 1: Introduction AI Driven Digital Collection in Lending Business

Lecture 1 Introduction AI Driven Digital Collection in Lending Business

Section 2: Collection and Issues in Traditional Collection Methods

Lecture 2 Collection and Isssues in Traditional Collection Methods

Lecture 3 Drawbacks of Traditional Collections in Lending

Lecture 4 How to deal with top collection challenges

Section 3: Digital Lending Collection Overview and Definition

Lecture 5 Digital Lending Collection Overview and Definition

Lecture 6 Digital Collection Key Features

Lecture 7 Digital Collection Process Flow

Lecture 8 Digital Collection Benefits

Section 4: Enablers for Digital Collection

Lecture 9 Technology Enablers for Digital Collection

Lecture 10 Data Enablers for Digital Collections

Lecture 11 Regulatory Enablers for Digital Collection

Lecture 12 AI Enablers for Digital Collections

Section 5: Key Takeaways on AI Driven Collections in Lending

Lecture 13 Key Takeaways on AI Driven Collections in Lending

Professionals working in lending, NBFCs, fintechs, and banks,Collection and recovery agents looking to upskill,Credit risk and operations managers,Digital transformation and product managers