page loader

AI in Business Intelligence ML/AI algorithms driven insights / analytics power businesses

Enabling the path from know-how to solutions

Gyrus models are developed independently and “transfer learned” to specific verticals and applications with custom datasets.
The different models enhance the Business Process in Sales, Research, Engineering, Data Entry, Customer Support, HR etc.
The ML/AI algorithms are targeted to specific environment with metrics of accuracy, precision and recall pertaining to the use-case.

Inventory Management

  • Statistical approach covering multiple inputs
  • Configurable to be Optimistic / Pessimistic
  • Human intuition usually does not cover all features

Anomaly Detection

  • Ensemble of models
  • Applied to raw data for Quality Control
  • Applicable to Data Entry, Process etc.

Propensity to buy

  • Lead Scoring Model
  • Data augmentation from third party datasets
  • Potential Customer / Group Information
  • Social Networks and News Feeds

Forecasting

  • Statistical approach covering multiple inputs
  • Configurable to be Optimistic / Pessimistic

Natural Language Generation

  • Corpus Analysis
  • Process Corpus to generate templates
  • Plug In Insights from data to templates

Natural Language Processing

  • Name / Entity extraction (Third Party)
  • Apply the extracted fields to Custom data
  • Applicable to Customer Interaction, Data Entry, Process etc.

Customer Success Mgt

  • Engagement metrics
  • Activity Monitoring

Optimization

  • Throughput Optimization
  • Equipment Usage
  • Emission Control