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● JLG Industries, an Oracle JD Edwards EnterpriseOne customer evaluated Oracle Cloud ERP

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Washington State University, a Workday Time customer evaluated UKG Pro Timekeeping

● Adelphi University, an ADP Enterprise eTIME customer evaluated Workday Time and Attendance

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SMFG India Credit
Location
10th Floor, Office No.101, 102 & 103, 2 North Avenue, Maker Maxity, Bandra Kurla Complex, Bandra (East),
Mumbai, 400051,
India
Website
https://www.smfgindiacredit.com/
Phone
91 22-4163-5800
Artw industry
Banking and Financial Services
Employee
Revenue

SMFG India Credit Technographics

SMFG India Credit Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by SMFG India Credit and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 19000 SMFG India Credit employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that SMFG India Credit has purchased the following applications: CreditVidya Credit Underwriting for Loan Management in 2016, Kore.ai for Chatbots and Conversational AI in 2023, Wingify VWO for Marketing Analytics in 2024 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems SMFG India Credit is running and its propensity to invest more and deepen its relationship with CreditVidya , Kore.ai , Wingify or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.

We have been analyzing SMFG India Credit revenues, which have grown to $576.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for SMFG India Credit intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.

SMFG India Credit Data, Technology Stack, and Enterprise Applications
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CreditVidya Legacy CreditVidya Credit Underwriting Loan Management ERP Services and Operations n/a 2016 2016
In 2016, SMFG India Credit deployed CreditVidya Credit Underwriting for Loan Management to support retail loan underwriting operations. The deployment incorporated alternative-data authentication and verification services, including an e-mail fraud API and FI Digital field-investigation tools delivered through a CreditVidya partnership with Fullerton India. Configuration focused on automated verification workflows and alternative-data authentication modules to reduce manual verifications in loan processing. Functional capabilities implemented included e-mail fraud detection APIs, digital field-investigation tooling, and verification orchestration within the CreditVidya Credit Underwriting application. These components were positioned to streamline decisioning and document checks typical of Loan Management. Operational scope centered on retail lending operations in India, aligning underwriting and verification functions across origination teams and credit operations. Governance changes emphasized process automation and a shift from manual field checks to instrumented digital verification, with CreditVidya Credit Underwriting acting as the verification and authentication layer. According to the provided notes, the rollout improved operational efficiency, reduced turnaround time and lowered verification costs for retail lending.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Kore.ai Legacy Kore.ai Chatbots and Conversational AI AI-Powered Application n/a 2023 2023
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Wingify Legacy Wingify VWO Marketing Analytics CRM n/a 2024 2024
Tag Management CRM 2023 2023
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2023 2023
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2023 2023
IT Decision Makers and Key Stakeholders at SMFG India Credit
First Name Last Name Title Function Department Email Phone
No data found
Show All Contacts
Apps Being Evaluated by SMFG India Credit Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD SMFG India Credit Technographics

SMFG India Credit is a Banking and Financial Services organization based in India, with around 19000 employees and annual revenues of $576.0 million.

SMFG India Credit operates a diverse technology stack with applications such as CreditVidya Credit Underwriting, Kore.ai and Wingify VWO, covering areas like Loan Management, Chatbots and Conversational AI and Marketing Analytics.

SMFG India Credit has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as CreditVidya, Kore.ai and Wingify.

SMFG India Credit recently adopted applications including Wingify VWO in 2024, Kore.ai in 2023 and Google Tag Manager in 2023, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of SMFG India Credit’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates SMFG India Credit’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete SMFG India Credit technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.