Data Forest logo
Emotion Tracker preview
Home page  / Cases / Emotion Tracker

Emotion Tracker

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.

15%

CX improvement

7%

cost reduction
Emotion Tracker preview

About the client

State-owned banking and finance company headquartered in Italy, with activity in several European countries and more than $40 bln in revenue.

Tech stack

Flask logo
Flask
Python logo
Python
reCAPTCHA logo
reCAPTCHA
PostqreSQL logo
PostgreSQL
MySQL logo
MySQL
AWS logo
AWS

Challenges & solutions

Challenge

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.

Solution

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.

Emotion Tracker first slider image
gradient quote marks

They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.

Alex Rasowsky photo

Alex Rasowsky

CTO Banking company

The way we deal with your task and help achieve results

Consultation icon

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.
Analysis icon

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.  

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.
Solutions icon

Step 3 of 5

Solution development

The work starts with data gathering, data cleaning and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.
Data delivery icon

Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project.  While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.
Support improvement icon

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
14.8 mln

pages processed daily

43 sec

updates checking

Sebastian Torrealba photo

Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation
View case study
Data parsing case image
gradient quote marks

These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

Data-driven marketing

We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.
20%

sales growth

200%

traffic boost

Jerermy Groves photo

Jeremy Groves

CEO ThinkDigital, Digital and Advertising Agency
View case study
Data-driven marketing case image
gradient quote marks

They developed solutions that brought value to our business.

Web app for dropshippers

The Client wanted to create a web app for people who sell products online (dropshippers) to show them the most popular products and calculate the potential profits. DATAFOREST designed and built the web app from scratch, creating high-load scraping algorithms to extract data from different eCommerce marketplaces, developing AI algorithms to calculate profits, and integrating the payment system with various functionalities.
100k+

hourly users

1,5 mln+

Shopify stores

Josef G. photo

Josef G.

CEO, Founder Software Development Agency
View case study
Web app for dropshippers case image
gradient quote marks

If we experience any problems, they come back to us with good recommendations on how the project can be improved.

DevOps Experience

The ML startup faced high costs during its growth for a data-driven platform infrastructure that processes around 30 TB per month and stores raw data for 12 months on AWS. We reduced the monthly cost from $75,000 to $22,000 and achieved 30% performance over SLA.
2k+

QPS performance

70%

cost reduction

Robert P. photo

Robert P.

CTO Cybersecurity
View case study
DevOps Experience case image
gradient quote marks

They have very intelligent people on their team — people that I would gladly hire and pay for myself.

Latest publications

All publications
Preview article image
18 min

Web Price Scraping and Price Monitoring Guide by DATAFOREST

Preview article image
18 min

Efficient Cloud Infrastructure Monitoring: Secure and Scalable Solutions

Preview article image
16 min

15 Best Data Warehousing Tools: Cloud-based Platform & Services - DATAFOREST

We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

DATAFOREST worker
DataForest, Head of Sales Department
DataForest worker
DataForest company founder
top arrow icon