
The financial company wanted to create a web app for their customers to query analytics about various banks with custom dashboards and analytics features. To solve this challenge, we developed a web-native application from scratch using highly-loaded AI scraping algorithms to generate a real-time database of banking data from various open-source websites and financial institutions. The app is easy to use and provides valuable insights.
State-owned banking and finance company headquartered in Italy, with activity in several European countries and more than $40 bln in revenue.
It is needed to check the quality of customer satisfaction from the work of each specific bank manager and create a system for tracking customer emotions.
Created a computer vision-based solution by means of cameras in front of each manager facing customers’ faces, tracking their emotions (positive, negative, neutral, etc.).
Analysis of customer emotions enables the administration to track customer satisfaction, as well as the work of each operator individually, thus reducing the company’s expenses, thereby optimizing the work of departments.
System is also capable of analyzing conversation flow, a useful feature when analyzing the quality of the operators' work.
Alex Rasowsky
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customer retention boost
profit growth
Christopher Loss
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
manual work reduced
work experience boost
Bernd Herzmann
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
hourly users
Shopify stores
Josef G.
If we experience any problems, they come back to us with good recommendations on how the project can be improved.
QPS performance
cost reduction
Robert P.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
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