How do we do it?

20 working days
3 months of works
Business/Customer need

Business/Customer need

Understand business need, Identify key questions to answer, Data Analysis

Step 1
Discovery

Discovery

Hypothesis definition, experiment execution and validation, solution viability

Step 2
MVP and Model Production ready

MVP and Model Production ready

Model productionize, AI Model production ready, REST API building, model retrain, deployment

Step 3
Monitoring

Monitoring

Constant monitoring of the results

Step 4

Use cases

Industry 4.0

  • Defective pieces identification
  • Pieces labeling
  • Reglementary uniform identification
  • Prohibited persons identification
  • AI and Robotic integration for automation

Retail

  • Recommendation system
  • Auto-pricing
  • Price optimization
  • Demand prediction
  • Personalized offers
  • Demand forecasting
  • User clustering

Marketing

  • Personalization
  • Audience segmentation
  • Sentiment analysis
  • Virtual assistants and chatbots
  • Sales forecasting
  • User behavior analysis