Download PDF
Revolut's Real-Time High Impact News Delivery with AYLIEN News API
Technology Category
- Analytics & Modeling - Natural Language Processing (NLP)
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Quality Assurance
Use Cases
- Real-Time Location System (RTLS)
- Track & Trace of Assets
Services
- System Integration
- Testing & Certification
The Challenge
Revolut, a fintech company, identified a need to enhance their customers' investment experience by providing them with real-time access to news stories and events that could impact their investment portfolios. The challenge was that news is crucial to trading as it provides signals that influence investment decisions. However, news moves quickly and investors who find out important news first have a considerable advantage over those slower to the source. The scale of global daily news makes it extremely difficult to identify high-impact news amongst the overwhelming noise. Revolut wanted to find a way to deliver relevant high impact news to their customers about any specific trading company through the app in real time, based on their customers’ portfolio preferences. This would not only provide a great user experience for investors, but also keep them engaged within the app, increasing the chances of them trading through Revolut.
About The Customer
Revolut is a fintech company that has grown significantly in just 5 years, from an interesting startup to a 'one app for all things money' used by millions, with a valuation of billions. Part of their success lies in their app’s industry-leading user experience, enabling customers to manage their finances in just a few clicks without any friction. This includes their Wealth products, which let customers easily invest in stocks, crypto, and commodities from within the app. Revolut aims to provide the best possible investment experience by empowering their customers to make informed investment decisions.
The Solution
Revolut chose Quantexa’s News API to deliver access to high-impact news to where customers need it in real time. Quantexa News API achieves this by aggregating over a million news articles from more than 80,000 sources every day. Each article passes through Natural Language Processing (NLP) models, providing the structured data that organizations need to quickly access and easily find relevant news, which they can deliver to wherever it will have the most impact for their customers. Revolut developed a standalone News section for their app, where the News API delivers the latest high-impact articles to the relevant sections, such as Top Stories, Stock, Crypto, or Commodities. News events and stories are also delivered to individual stock pages, providing specific news for that particular company and its related market.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
IoT Applications and Upgrades in Textile Plant
At any given time, the textile company’s manufacturing facility has up to 2,000 textile carts in use. These carts are pushed from room to room, carrying materials or semi-finished products. Previously, a paper with a hand-written description was attached to each cart. This traditional method of processing made product tracking extremely difficult. Additionally, making sure that every cart of materials or semi-finished products went to its correct processing work station was also a problem. Therefore, the company desired an intelligent solution for tracking assets at their factories. They also wanted a solution that would help them collect process data so they could improve their manufacturing efficiency.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
Case Study
IoT Based Asset Tracking System
The existing system used by the customer could only track a few thousand assets and was able to generate only a few standard set of reports. As the number of assets tracked grew exponentially, the system started to break at the seams. The Tracking devices were from different manufacturers following different protocols. There was no proper integration among the devices to send instant alerts. There are thousands of tracking devices spread across multiple geographies, that are moving. The configuration and troubleshooting of these devices incurred heavy costs, which was a logistics challenge. The existing system did not provide sophisticated Analytics, Business Intelligence and Insights from the data
