Anodot Case Studies Tinkoff Enhances Customer Experience and Operational Efficiency with Anodot's AI Technology

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	Tinkoff Enhances Customer Experience and Operational Efficiency with Anodot's AI Technology Anodot

Tinkoff Enhances Customer Experience and Operational Efficiency with Anodot's AI Technology

Anodot

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Consumer Goods Finance & Insurance
Use Cases	Behavior & Emotion Tracking Leasing Finance Automation
Challenge	Tinkoff, Russia's leading fintech innovator, was facing challenges in managing the exponential surge in data due to the rise of innovative fintech and digital banking solutions. The success of their fintech model was heavily dependent on the quality of the customer experience they provided. However, monitoring, managing, and reconciling the vast amount of data was compromising their internal productivity and resources. They needed a technology that would not only guarantee the highest level of customer satisfaction but also ensure operational efficiency across their platform. Read More
About Customer	Tinkoff is an online financial and lifestyle ecosystem centered around the needs of its customers. It offers a full range of financial services for individuals and businesses, all accessible via mobile applications and Tinkoff.ru. Tinkoff Bank, the core of the ecosystem, is one of the world’s largest independent digital banks serving over 15 million customers. It provides banking and lifestyle services via the Tinkoff super app, the first super app developed by a financial institution in Europe. Tinkoff’s parent company, TCS Group Holding PLC, is listed on the London Stock Exchange and on Moscow Exchange. Read More
Solution	Tinkoff adopted Anodot, the autonomous business monitoring company, to help safe-proof the way customers experience payments and trading on their platform. Anodot's disruptive technology uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. This technology enables fintechs and other data-driven organizations to find and fix any performance hiccups quickly, ensuring they can provide a smooth and reliable customer experience. The adoption of this artificial intelligence technology in banking is expected to revolutionize Tinkoff's customer experience, payment, and trading monitoring. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Consumer Goods

Finance & Insurance

Use Cases

Behavior & Emotion Tracking

Leasing Finance Automation

Challenge

Tinkoff, Russia's leading fintech innovator, was facing challenges in managing the exponential surge in data due to the rise of innovative fintech and digital banking solutions. The success of their fintech model was heavily dependent on the quality of the customer experience they provided. However, monitoring, managing, and reconciling the vast amount of data was compromising their internal productivity and resources. They needed a technology that would not only guarantee the highest level of customer satisfaction but also ensure operational efficiency across their platform.

About Customer

Tinkoff is an online financial and lifestyle ecosystem centered around the needs of its customers. It offers a full range of financial services for individuals and businesses, all accessible via mobile applications and Tinkoff.ru. Tinkoff Bank, the core of the ecosystem, is one of the world’s largest independent digital banks serving over 15 million customers. It provides banking and lifestyle services via the Tinkoff super app, the first super app developed by a financial institution in Europe. Tinkoff’s parent company, TCS Group Holding PLC, is listed on the London Stock Exchange and on Moscow Exchange.

Solution

Tinkoff adopted Anodot, the autonomous business monitoring company, to help safe-proof the way customers experience payments and trading on their platform. Anodot's disruptive technology uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. This technology enables fintechs and other data-driven organizations to find and fix any performance hiccups quickly, ensuring they can provide a smooth and reliable customer experience. The adoption of this artificial intelligence technology in banking is expected to revolutionize Tinkoff's customer experience, payment, and trading monitoring.

Impact #1	The adoption of Anodot's AI technology has revolutionized Tinkoff's customer experience, payment, and trading monitoring. It has not only improved the quality of the customer experience but also enhanced operational efficiency across the platform. The technology has enabled Tinkoff to manage the vast amount of data effectively without compromising internal productivity and resources. It has also helped Tinkoff to quickly identify and fix any performance issues, ensuring a smooth and reliable customer experience. This has positioned Tinkoff as a leader in the fintech industry, capable of managing the challenges of the digital banking revolution.

Impact #1

The adoption of Anodot's AI technology has revolutionized Tinkoff's customer experience, payment, and trading monitoring. It has not only improved the quality of the customer experience but also enhanced operational efficiency across the platform. The technology has enabled Tinkoff to manage the vast amount of data effectively without compromising internal productivity and resources. It has also helped Tinkoff to quickly identify and fix any performance issues, ensuring a smooth and reliable customer experience. This has positioned Tinkoff as a leader in the fintech industry, capable of managing the challenges of the digital banking revolution.

Benefit #1	Reduced time to detection by 30%
Benefit #2	Expected to reach $48 billion in banking-related revenue by 2025 due to the adoption of AI technology
Benefit #3	Reduced time to detection and resolution for revenue-critical issues by as much as 80%

Benefit #1

Reduced time to detection by 30%

Benefit #2

Expected to reach $48 billion in banking-related revenue by 2025 due to the adoption of AI technology

Benefit #3

Reduced time to detection and resolution for revenue-critical issues by as much as 80%

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Overview

Tinkoff Enhances Customer Experience and Operational Efficiency with Anodot's AI Technology

Operational Impact

Quantitative Benefit