Contents
- AI based Expert investment advice
tailored to your needs
- Trust-building
- Intuitive engagement platform delivered hyper-personalized client experiences
- Enhances decision-making
- Delivered relevant investment information resulting in high levels of client satisfaction
- Productivity
- 10x improvement in meeting investor’s investment objectives and goals
- Cost effective
- Increased operational efficiency and found an operating cost reduction of 45%
- Let’s get started
CASE STUDY
AI based Expert investment advice
tailored to your needs
The US-based client is an investment advisory firm that serves corporations, governments, institutions, and private clients globally. It aims to helps more and more people experience financial well-being through tailored money management, industry-leading client service, global investment diversification, and illuminating insights. Client’s experienced professionals offer unbiased technical analysis by creating a conducive environment for investors.
Overview
The investment advisory client approached Sparity intending to automate their manual research process of qualitative analysis of stocks, Mutual funds, and ETFs and automate their investment advice, guidance, and personalized reporting feature. Sparity acted quickly and implemented a News Analytics solution that offers their investors detailed reports, risk factors, relevant news articles, personalized and relevant investment information so that investors can make informed financial decisions.
Challenges
The existing reporting and interface systems lacked credibility, and not all reports pushed to the investors were very useful in taking action on one’s investments. Faced challenges in performing manual research for qualitative analysis of stocks, Mutual funds, and ETFs. The client needed a solution that could automate their investment advice process that offers better, personalized, and relevant information to investors to help meet their financial needs.
Implementation
Text Scraping from financial services (Nasdaq news, Stocktwits) websites to extract sentiment using Python and Selenium
Text Analytics to identify Macro trends from
various internal and external data sources
Visitor Path Analytics-Visitor behavior can be understood through web visit paths to recognize patterns
Affinity Analysis-Creating correlation between products/Reports /news Items and customer persona and portfolio
Solution
Sparity leveraged AI and ML technology to implement data scraping process from various internal & external data sources and text analytics algorithms to identify macro level insights and trends which not only scan for the content but also drill down to understand the context for the keywords. Built a standalone News Analytics solution to empower the investors involved in investment advisory business or investment management with personalized, relevant, and elaborate and investment advice.