Forecasting material consumption and sales

Company

DTEK Group

Industry

Energy Generation

Country of the Company

EU

Type of Service

Consulting

Tasks

  • Implement AI/ML solutions to forecast material consumption and sales, optimizing procurement, supply chain, and production quantities in the Pharma industry.

Challenges

  • Ensuring accurate data collection and seamless integration with existing systems.
  • Managing data privacy and security, adhering to GDPR and HIPAA regulations.
  • Maintaining model accuracy and adaptability to dynamic market conditions.

Solutions

  • Implement ARIMA and LSTM models for time series forecasting of material usage and sales.
  • Integrate models with ERP and CRM systems for seamless data flow.
  • Establish a robust data governance framework.
  • Enable continuous model retraining to adapt to market changes.
  • Enhance procurement planning and production schedules to reduce material waste.

Outcomes

  • Achieve a 10-15% reduction in material waste, improving overall efficiency and reducing costs.

Technologies Used

LSTM

Integration with ERP and CRM systems

Data Governance Framework

COMPANY

NDA

Industry

Pharmaceutical

Country of the Company

NDA

Type of Service

Consulting

Learn about our impact through case studies

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.

Leading omniscreen advertising platform

Developed ML for OTT screen classification and TV channel recommendations, and empowered engineers to work with minimal supervision.

Leading data services company specializing in data consulting and digital marketing

Developed audience AI clustering models based on behavior patterns and conversion probability. Created a multiplicative marketing mix model and introduced models for audience clustering.

Platform for 24/7 real-time safety monitoring

Improved computer programs for better factory monitoring, combined them with real-time location and sensor data, and built new tools and websites for managing everything.

Deep learning models for predicting organic compound solubility and interactions.

Integration with R&D workflows; data privacy compliance.
Expert services reduce research time and costs by 15-20%, enhancing drug discovery success rates.

AI-driven tools for peak prediction and automatic peak integration

Integration with LIMS, compliance with regulatory standards and GMP.
Machine learning enhances HPLC capabilities, achieving a 20-25% increase in operational efficiency and reducing manual workload.