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Smith Live Case BMGT495 | Presentation on 12/7

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Our Team

Kyle Covello

Junior | Finance & Info Systems

Julia Sepe

Junior | Finance & Info Systems

Caroline Fleetwood

Junior | Marketing & Supply Chain Management

Camille Peck

Junior | Marketing & Management

Kate Maescher

Junior | Marketing & Supply Chain Management

Mohamed Moneib

Junior | Finance & Info Systems

Amanda Schramm

Junior | Finance & Info Systems

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Agenda

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1. Our Purpose

3. Key Findings

4. Evaluation

2. Our Solutions

5. Next Steps

6. Conclusion

Our problem statement that we’re solving.

Our recommendations to address the problem.

Our methodology and findings that led us to our solutions.

Our pros and cons of each solution.

Our implementation plan of our final recommendation.

Overall review our problem and final solution.

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Our Purpose

Our Purpose

Our Solutions

Key Findings

Evaluation

Next Steps

Conclusion

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Problem Statement

In today’s digital age, insurance customers want simplicity:

How can GEICO use technology or product innovation to gain a competitive advantage in the insurance industry. What are viable options for increased efficiency, or long-term sustainability?

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Our Purpose

Our Solutions

Our Solutions

Key Findings

Evaluation

Next Steps

Conclusion

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Viable Solutions

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1. Enhance Social

Media

Use AI technology to change Geico’s approaches to its social media platforms.

3. Increase Fraud

Prevention

2. Improve Claims

Management

Utilize AI to dramatically improve and enhance the process around Claims Management.

Implement AI technology to help further prevent insurance fraud.

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Key Findings

Our Purpose

Our Solutions

Key Findings

Evaluation

Next Steps

Conclusion

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Prevalence of Insurance Fraud

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Prevalence of Insurance Fraud

  • It is estimated that between $5.6 billion and $7.7 billion was fraudulently added to paid claims for auto insurance bodily injury payments in 2012, compared with a range of $4.3 billion to $5.8 billion in 2002. (IRC)
  • The total cost of insurance fraud (non-health insurance) is estimated to be more than $40 billion per year. That means Insurance Fraud costs the average U.S. family between $400 and $700 per year in the form of increased premiums. (FBI)
  • About 90 percent of respondents said they use technology primarily to detect claims fraud, a significant increase from 2016 and about half said they use it to combat underwriting fraud, up from 27 percent in 2016. (SAS)

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Current Fraud Detection

  • Currently run your own Special Investigation Unit
  • The sole job of the unit is to monitor activity of suspicious claims
    • Use assistance from government officials as well as the National Insurance Crime Bureau to decipher fraud
  • Each employee working with claims gets trained to detect for fraud
    • Most employees in the unit are former law enforcement officials

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Current Fraud Detection

  • 10 percent or more of casual and property claims are fraudulent
    • Increase insurance rates, causes higher taxes and prices for consumers

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Utilizing AI Technology to Prevent Insurance Fraud

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According to Verisk analytics, when incorporating AI technologies into claims fraud analytics, it’s important to understand the four critical components of operationalizing them: variety, value, volume, and velocity

Value:

Nearly 60% of organizations suffer from inaccurate business intelligence because of slow or poor access to the right data

Variety:

System can automatically recognize suspicious patterns and characteristics indicative of fraud

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AI Fraud Components

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Volume:

Analyzing the depth of information offers a more complete picture of a claim

Velocity:

Need the proper technology to enable the modeling and analyzing processes

Cloud Computing

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The Use of AI Fraud Prevention in Competitors & How it Works

Insurance Competitor CNA Financial

  • Uses Shift Technology to find the most suspicious claims with predetermined analytical paths.
  • It is a predictive analytics application
  • Became the first company to use Shift Technology’s FORCE software solution.
  • Improved customer experience and was a great addition to the improvement of CNA

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Shift Technology

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Shift Technology

  • Generates a fraud score for each claim that indicates how suspicious the claim is, contributing factors, and how the claim could be investigated.

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The Utilization of Shift Technology

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Our Purpose

Evaluation

Our Solutions

Key Findings

Evaluation

Next Steps

Conclusion

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Pros Vs Cons

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Cons:

  • Unemployment
  • 75% Hit rate
    • 75% of claims Shift flags are fraudulent

Pros:

  • Decrease Fraud
  • Pays For Itself
  • More Happy Customers

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Final Recommendation

We recommend Geico to implement Shift’s FORCE technology

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Final Recommendation

The FORCE technology will:

  • Leverage the power of internal data
  • Delivers actionable claims alert via an intuitive, customizable user interface
  • Help Geico stay ahead of emerging fraud scenarios
  • Improve investigative efficiency
  • Lower false positives
  • Detects fraud with twice the accuracy of other solutions

How it will contribute to a competitive edge for Geico:

  • Geico’s other competitors are not utilizing this technology which makes it inimitable
  • Geico’s services and products will be more valuable with the utilization of this technology
  • There will be a quick return on investment (about 4 months to be exact)
  • The improved efficiency and accuracy will add value to Geico as a company

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Next Steps

Our Purpose

Our Solutions

Our Process

Evaluation

Next Steps

Conclusion

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Implementation of FORCE

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2. Cost Benefit Analysis

3. Financing Our Solution

1. Onboarding

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Onboarding & Integration

Simple Integration

FORCE is a Web-Based, Cloud SaaS solution. This minimizes IT involvement and costs for GEICO at both the initial implementation and for maintenance.

Efficient User-Interface

Helps GEICO’s SIU handlers by automatically identifying possible fraud cases, explaining why the claim was flagged, and recommending “next steps” for investigating the claim.

Quick Onboarding

GEICO simply needs to provide its historical policy and claims data in any format and FORCE ingests, cleans, and maps the data in as few as four months.

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Cost Benefit Analysis

FORCE’s solution is Financial Model Based - GEICO would pay on a per claims basis, and have the ability to end the service any time without penalties

COSTS

BENEFITS

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QUICK RETURN ON INVESTMENT:

  • In 2016, a leading insurance provider, similar to GEICO purchased FORCE
    • Within four months of going live FORCE delivered a positive ROI
    • Had a yearly ROI of 500 to 600 percent

PREVENT REVENUE LEAKAGES:

  • Globally, insurers lose hundreds of billions in revenue due to fraudulent claims
  • Fraudulent claims total at least $40 billion per year in the United States

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Financing Our Solution

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Observations:

  • GEICO increases advertising expenses year over year
  • The increase in advertising does not reflect the increase in premiums

Result:

  • Easily Divert funds from advertising to investing in Shift’s FORCE solution

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Conclusion

Our Purpose

Our Solutions

Key Findings

Evaluation

Next Steps

Conclusion

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Final Overview

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PROBLEM STATEMENT

How can GEICO use technology or product innovation to gain a competitive advantage in the insurance industry. What are viable options for increased efficiency, or long-term sustainability?

FINAL SOLUTION:

Invest in Shift’s FORCE solution

  • Automated, AI-native & SaaS-based fraud detection solution

Why?

  • Reduce the hundreds of billions revenue losses that stem from fraud
  • Quick Return on Investment
  • Gain a competitive advantage

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Any Questions?

Thank you!

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Citations

Digital disruption in insurance: Cutting through the noise. (n.d.). Retrieved October 18, 2020, from https://www.mckinsey.com/~/media/mckinsey/industries/financial%20services/our%20insights/time%20for%20insurance%20companies%20to%20face%20digital%20reality/digital-disruption-in-insurance.ashx

GEICO At A Glance. (n.d.). Retrieved October 19, 2020, from https://www.geico.com/about/corporate/at-a-glance/

INNOVATION IN INSURANCE: HOW TECHNOLOGY IS CHANGING THE INDUSTRY. (n.d.). Retrieved October 18, 2020, from https://www.iif.com/portals/0/Files/private/32370132_insurance_innovation_report_2016.pdf

The Insurance Savings You Expect. (n.d.). Retrieved October 19, 2020, from https://www.geico.com/

Property, Casualty, and Direct Insurance in the US. (n.d.). Retrieved October 19, 2020, from https://my-ibisworld-com.proxy-um.researchport.umd.edu/us/en/industry/52412/about

Tzanetos, G. (2020, August 28). Geico's Marketing Strategy Through Advertisements. Retrieved October 19, 2020, from https://www.investopedia.com/articles/insurance/020117/look-geicos-marketing-strategy.asp

Walgrove, A. (2020, August 13). Importance of Brand Awareness: Advantages and Perks: Taboola. Retrieved October 20, 2020, from https://blog.taboola.com/importance-of-brand-awareness/

https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/ad-spending-at-state-farm-progressive-tops-1b-in-2019-geico-nearly-hits-2b-57549297

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References

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Appendices

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Appendix 1:

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Appendix 2:

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Appendix 3:

On a test set of more than 1M documents, the AI module had a prediction rate of 81% with an accuracy of 97%, even higher than human claim handlers. For a volume of 1M claims per year, this saves a workload worth of $50M and enables to reduce leakage by more than $20M per year.” - Digital Insurance Agenda

  • Helps explain why GEICO will quickly receive their ROI when they invest in Shift’s FORCE solution

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AI in Social Media

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  • Regular software is coded by humans and can only be improved manually by humans.
  • AI technology and tools, “can improve on their own, based on both their own historical performance and new data given to the system—unlocking potentially unlimited performance gains.” (Marketing Intelligence Institute)
  • Geico has to take advantage of the way that AI technology works and expand it into their social media marketing.

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Marketing Solution

  • Geico has used 3 main strategies in their marketing strategies:
    • Geico has relied on a simple, always relevant brand promise of ease and savings.
    • They have remained committed to their simple message.
    • Geico creates funny, clever content that makes the insurance industry seem less boring and more intriguing (Hawk Partners).
  • The Geico advertising campaign strategy is to saturate the market with print advertising, radio ads, and television advertisements (IP Watchdog).
  • Solution: Geico should implement AI technology with their social media.
    • With AI technology, Geico can utilize it to help with content generation, trend finding, ad targeting, PPC ad generation, better understanding their consumer market, and boosting return on investment.
    • AI technology will help with leveraging the customer experience in marketing and will be using big data analytics, machine learning, and other processes to gain insight into Geico’s target audience (Forbes).

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Claims Management Solution: H20

  • Implement AI in Claims Management through H20 Platform
  • Driverless AI Software
    • Automates data science and machine learning workflows
    • Machine learning interpretability
  • Benefits for Geico
    • Reduces risk of fraud
    • Streamlines claim process
    • Makes assessment and payment of claims for customers fast and accurate

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AI in Claims Management

  1. Increase Efficiencies
  2. Increase Customer Satisfaction
  3. Decrease Fraudulent Claims
  4. Improve Metrics

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Fraud

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Utilizing AI Technology to Prevent Insurance Fraud

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When incorporating AI technologies into claims fraud analytics, it’s important to understand the four critical components of operationalizing them: variety, value, volume, and velocity

Variety:

  • System can automatically recognize suspicious patterns and characteristics indicative of fraud
  • Takes a lot of time and energy
  • Types of variety:
    • unstructured data, such as images, audio, video, text, and social media

Value:

  • Need correct insight from claims fraud AI
  • Nearly 60% of organizations suffer from inaccurate business intelligence because of slow or poor access to the right data
  • 35% of large property/casualty insurers and 24% of midsize carriers are expanding their data science efforts.

Volume:

  • Need deep enough data
  • Claims often include depth of information
  • Analyze the depth of information offers a more complete picture of a claim

Velocity:

  • Processing speed is vital
  • Need the proper technology to enable the modeling and analyzing processes
    • Cloud Computing
  • Real time insights