Leading data services company specializing in data consulting and digital marketing

Company

Artefact

Industry

Marketing

Country of the Company

UK

Type of Service

Development

Tasks

  • Build audience AI clusterization models based on behavior patterns
  • Develop models for splitting audience by conversion probability
  • Conduct in-depth audience analysis using data from various analytics platforms.

Challenges

Develop models that can optimally allocate budgets and estimate income generated from each marketing channel or advertisement. Additionally, conduct in-depth audience analysis using data obtained from various analytics platforms.

Solutions

  • Developed and adapted a multiplicative marketing mix model
  • Introduced two models for clustering the audience based on behavioral patterns and dividing the audience by probability of conversion.

Outcomes

  • A multiplicative marketing mix model was successfully developed and implemented
  • Two clustering models were introduced for more effective audience segmentation and targeting.

Technologies Used

Python (pystan, sklearn, pandas, pyspark, pymc3)

Company

Artefact

Industry

Marketing

Country of the Company

UK

Type of Service

Development

Learn about our impact through case studies

AI-powered client engagement and personalization agent

Successfully deployed a secure and compliant AI agent that recommends content, manages schedules, and engages clients in personalized conversations via the fitness-tech platform.

AI agent for real-time price prediction and automated trading insights

Reduced manual intervention in forecasting and reporting workflows with an AI agent capable of handling real-time price predictions, executing analysis, and sending back KPI reports.

AI agent for sterility monitoring in pharmaceutical manufacturing

Enabled fast, accurate detection and escalation of non-compliant procedures, reducing human oversight burden by deploying a real-time sterility monitoring system.

AI assistant for enhanced online learning experience

Digitized and structured all course materials from PDF-documents and videos based on defined business logic, reducing time spent searching by over 70%.

Low-latency container number recognition for automatic shipping

Achieved a 70% reduction in time spent on supply chain operations with low-latency OCR optimized for edge devices. Eliminated manual entry errors with a dual-validation mechanism.

AI platform for streamlined design compliance and reduced project risks

Developed a generative AI-powered interface for IBC and ASCE queries, enabled iterative refinement, integrated design standards, and optimized mobile/desktop usability.