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GFAIVE

  • Data Science
  • 3 Case Studies
Machine learning demand forecasting
About

GFAIVE specializes in building ML-powered demand forecasting for fashion retailers. Our tools cater to our clients' unique data infrastructure and provide accurate, predictive insights that help stay ahead of competition.

Our international team consists of data scientists, engineers and analysts mostly originating from Eastern European countries (Georgia, Serbia, Belarus, and Ukraine) with high-quality technical education and deep knowledge of data science, mathematics, statistics and software engineering.

Our deep understanding of fashion retail challenges allows us to quickly get on board with business needs and start providing results even on short-term projects. We work in an agile manner, focused on delivering value every step of the way.

Company Details
  • https://www.gfaive.com/
  • Headquarters Tbilisi, Georgia
  • Year Founded 2018
  • Company Size 11-50 employees
  • Specialties Data Science
Case Studies
Case Study : Predictive Analytics Modeling | Gfaive

A client was in need of a marketing tool for modeling customer lifetime value. By leveraging predictive analytics we built...

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Case Study : Customer Segmentation And Predictive Lead Scoring | Gfaive

A company wanted to gain a better understanding of customer behavior and effectively score leads to prioritize sales personnel work....

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Case Study : Customer Loyalty Optimization | Gfaive

An online retailer was looking to increase customer loyalty and improve customer service. We developed a personalization machine learning algorithm...

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