AI Adoption
Modern AI models have a wide range of applications across different areas of business. Some of them include:
NLP — Natural Language Processing
- Text Classification
Automatic tagging of documents and text materials based on predefined categories. This enables efficient document management and faster access to relevant information. - Conversational Agents
Create virtual assistants and chatbots to automate communication and provide users with ongoing support. - Sentiment Analysis
20+
Implementations
PhD in Mathematical Analysis
Technical Lead
Business Traffic and Logistics
- Decision-Making
identifying the optimal locations for opening new retail outlets;
- Strategic Planning
analysis of restaurant footfall data to plan procurement and minimise losses;
data analysis to optimise the redistribution of goods across retail locations;
- Logistics
optimal transportation route design
determination of the most efficient distribution of goods across transport units.
Biometrics and Computer Vision
The implementation of AI technologies has been shown to enhance security and automate processes through the use of advanced biometric solutions and computer vision tools. Our solutions address real-world scenarios, ranging from anomaly detection to automated quality control.
- Facial Recognition
Systems for identity verification and authentication to prevent fraud and manipulation. - Voice Recognition
User identification based on voice characteristics to improve security and user experience. - Computer Vision
Integration of computer vision technologies for image and video analysis. Applied in quality control, security enhancement, and automated data extraction from visual content. - Motion Analysis
Systems that detect abnormal movement or behaviour in video and enable rapid response to potential incidents. - Object Detection
Technologies that identify the location of objects in images or video for automated monitoring and analysis.
Forecasting and Optimisation
- forecast business activity and changes in demand;
- predict sales revenue;
- model financial KPIs and assess their dynamics;
- optimise production capacity utilisation and reduce downtime;
- automate warehouse operations and plan inventory;
- forecast and optimise energy consumption and generation.
Improving Customer Experience
- understand typical purchasing behaviours;
- identify natural groups and segments within your audience;
- uncover strengths and weaknesses across each sales channel;
- profile customers and tailor communication more precisely.
This approach enables more relevant marketing offers, more effective campaigns, improved customer acquisition efficiency, and reduced churn.
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