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Sensor Network - IOT
❯From Weeks Down to Hours: How insurers innovate with AI to shorten claims processing time and improve customer experience
Product Design Using AI
Large Companies
Knowledge representation - Bayesian Network
AI-dispatcher (operator) of large-scale distributed energy system infrastructure
Large Companies
Operations - Intelligent Monitoring of Infrastructures
Reducing Food Recalls With AI-Dri
Predictive analytics for the behaviour and psycho-emotional conditions of eSports players using heterogeneous data and artificial intelligence
Robot consciousness
Ontologies for smart buildings
Unmanned protective vehicle for road works on motorways
AI components for vehicle platooning on public roads
Use of robotic solution for traffic policing and control
Behavioural and sentiment analytics
From Weeks Down to Hours: How insurers innovate with AI to shorten claims processing time and improve customer experience
AI (swarm intelligence) solution for attack detection in IoT environment
Robotic solution for replacing human labour in hazardous conditions
Animal Disease Detection
Ecosystems management from causal relation inference from observational data
Weather Forecasting in Agriculture
Robotic vision scene awareness
AI to understand adulteration in commonly used food items
AI based text to speech services with personal voices for people with speech impairments
Large Companies
Manufacturing and Factories – Predictive Maintenance
Self-driving aircraft towing vehicle
Improving productivity for warehouse operation
From Weeks Down to Hours: How insurers innovate with AI to shorten claims processing time and improve customer experience
For:
- Claims Management
- Customer Experience.
Goal:
Improved Customer ExperienceProblem addressed
With the need to process millions of insurance claims per year, the insurer was using a time-consuming manual process with a high risk of human error. In addition to solving these problems, they sought to improve customer experience with a quicker claims processing time.
Description
Infogain developed an Intelligent Recommendation Engine (AI/ML) that automates estimation. It also uses computer vision to recognise objects in the uploaded images and suggests automotive parts. This step helped to reduce the time required to estimate the claims cost.
Outcome
As a result, there were notable cost and time savings achieved in manually creating these estimates. There was also lower risk due to a reduction in human error and an improvement in customer experience thanks to a quicker claims process.
Sensor Network - IOT
Raw Data
AI: Perceive
Machine Learning
AI: Understand
Automate Process
AI: Act