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Influencer Marketing Platform

The Client wanted to build a software solution to assist brands and agencies with their influencer marketing campaigns by offering massive searchable databases of potential influencers, using AI algorithms. We helped to develop an interactive B2C web application while optimizing the speed of data loading that allowed customers to quickly identify and target the right individuals for their campaigns, potentially saving them time and resources.
57 ms

data upload

12 mln+

influencers

Johannes R. photo

Johannes R.

CEO Creative agency
View case study
Influencer Marketing Platform case preview image
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We are delighted with our results and with DATAFOREST's professional services, they have helped us to generate additional revenue!

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

Alex Rasowsky photo

Alex Rasowsky

CTO Banking company
View case study
Emotion Tracker preview
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They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
5%

customer retention boost

25%

profit growth

Christopher Loss photo

Christopher Loss

CEO Dayrize Co, Restaurant chain
View case study
Client Identification preview
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The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
2x

faster service

15%

CX boost

Brian Bowman photo

Brian Bowman

President Carsoup, automotive online marketplace
View case study
Entity Recognition preview
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Technically proficient and solution-oriented.

+11
Reset all
Reset all white icon
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Influencer Marketing Platform

The Client wanted to build a software solution to assist brands and agencies with their influencer marketing campaigns by offering massive searchable databases of potential influencers, using AI algorithms. We helped to develop an interactive B2C web application while optimizing the speed of data loading that allowed customers to quickly identify and target the right individuals for their campaigns, potentially saving them time and resources.
57 ms

data upload

12 mln+

influencers

Johannes R. photo

Johannes R.

CEO Creative agency
View case study
Influencer Marketing Platform case preview image
gradient quote marks

We are delighted with our results and with DATAFOREST's professional services, they have helped us to generate additional revenue!

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

Alex Rasowsky photo

Alex Rasowsky

CTO Banking company
View case study
Emotion Tracker preview
gradient quote marks

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

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
5%

customer retention boost

25%

profit growth

Christopher Loss photo

Christopher Loss

CEO Dayrize Co, Restaurant chain
View case study
Client Identification preview
gradient quote marks

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
2x

faster service

15%

CX boost

Brian Bowman photo

Brian Bowman

President Carsoup, automotive online marketplace
View case study
Entity Recognition preview
gradient quote marks

Technically proficient and solution-oriented.

Reset all
Reset all white icon
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Influencer Marketing Platform

The Client wanted to build a software solution to assist brands and agencies with their influencer marketing campaigns by offering massive searchable databases of potential influencers, using AI algorithms. We helped to develop an interactive B2C web application while optimizing the speed of data loading that allowed customers to quickly identify and target the right individuals for their campaigns, potentially saving them time and resources.
57 ms

data upload

12 mln+

influencers

Johannes R. photo

Johannes R.

CEO Creative agency
View case study
Influencer Marketing Platform case preview image
gradient quote marks

We are delighted with our results and with DATAFOREST's professional services, they have helped us to generate additional revenue!

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

Alex Rasowsky photo

Alex Rasowsky

CTO Banking company
View case study
Emotion Tracker preview
gradient quote marks

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

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
5%

customer retention boost

25%

profit growth

Christopher Loss photo

Christopher Loss

CEO Dayrize Co, Restaurant chain
View case study
Client Identification preview
gradient quote marks

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Entity Recognition

The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
2x

faster service

15%

CX boost

Brian Bowman photo

Brian Bowman

President Carsoup, automotive online marketplace
View case study
Entity Recognition preview
gradient quote marks

Technically proficient and solution-oriented.

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We will carefully check and get back to you with the next steps.

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