Tinkoff Enhances Customer Experience and Operational Efficiency with Anodot's AI Technology
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
About The 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.
The 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.
The 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.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Series Production with Lot-size-1 Flexibility
Nobilia manufactures customized fitted kitchens with a lot size of 1. They require maximum transparency of tracking design data and individual processing steps so that they can locate a particular piece of kitchen furniture in the sequence of processes.
Case Study
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
