The Essence of Developing Software with AI Capabilities

Development of software with AI capabilities implies building new software or evolving existing software to output AI analytics results to users (e.g., demand prediction) and/or trigger specific actions based on them (e.g., blocking fraudulent transactions). 

Supported by AI, an application can automate business processes, personalize service delivery and drive business-specific insights. According to Deloitte, 90% of seasoned AI adopters say that “AI is very or critically important to their business success today”.

Use Cases for Software with AI Capabilities

business process automation 1

Business process automation

  • Chatbots
  • Search engines
  • Automated document generation
  • Optical character recognition engine for data extraction from paper documents
  • Job candidates screening and shortlisting
product management 1

Production management

  • Predictive maintenance
  • Demand and throughput forecasting
  • Process quality prediction
  • Production loss root cause analysis
customer analytics 1

Customer analytics

  • Sentiment analysis
  • Customer behavior prediction
  • Sales forecasting
risk management

Risk management

  • Counterparty risk analytics
  • Potential damage prediction
  • Fraud detection
supply chain management

Supply chain management

  • Demand forecasting
  • Lead time forecasting
  • Inventory optimization
personalization

Personalized service delivery

  • Customer segmentation
  • Recommendation engines