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industry-overview
The industry challenge: why enterprises need AI at scale
Key challenges across industries
Scaling AI beyond pilots remains a challenge
Real-time decision-making requires advanced AI-driven intelligence
Businesses struggle to balance growth, efficiency, and compliance
Fragmented data ecosystems slow AI adoption
Industry solutions portfolio
AI that drives measurable business impact
Fractal’s AI-powered solutions solve real-world challenges, delivering faster decisions, improved efficiency, and cost savings at scale
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1
Consumer packaged goods
Partnering with global CPG leaders since 2000 to optimize operations and drive growth
Supply chain Intelligence capabilities
Inventory management
Network optimization
Supplier analytics
Demand sensing
Case study: Global CPG leader
Challenge: Supply chain visibility
Solution: End-to-end optimization platform
Result:
Improved e-commerce visibility with an integrated dashboard
Automated insights on sales drivers and consumer behavior
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2
Retail
25 years of transforming retail through AI-driven personalization and optimization
Claims excellence platform capabilities
Omnichannel optimization
Real-time personalization
Journey orchestration
Predictive analytics
Case study: Increasing redemption revenue
Challenge: Low redemption rates due to siloed data
Solution: 360-degree customer view with AI-driven targeting
Result:
230% increase in redemption revenue
Reduction in generic offers from 23.2% to 4.5%
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3
Technology, media and telecom
Delivering AI-powered impact for the world’s most admired enterprises
Digital transformation platform capabilities
API integration
DevOps automation
Cloud transformation
Legacy modernization
Case study: Automating consulting services for scalable growth
Challenge: Manual data processing limited service scalability
Solution: Automated data-driven consulting platform
Result:
60%-80% reduction in go-to-market time
100% consultant adoption for solution delivery
Expanded market coverage with scalable engagement
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4
Healthcare and life sciences
Transforming healthcare through AI while maintaining highest compliance standards
Data driven platform capabilities
Population health management
Predictive care pathways
Treatment optimization
Risk stratification
Case study: Eliminating ER visits for significant cost savings
Challenge: Unnecessary ER visits increased costs and strained resources
Solution: Machine-learning models predicted avoidable ER visits
Result:
65% of avoidable ER visits identified among 30% of members
$10M annual savings by redirecting care
Each avoided visit saved $1,500 in costs
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6
Financial services
Since 2000, we've partnered with leading financial institutions to transform operations through AI
Risk analytics platform capabilities
Regulatory compliance automation
Multi-factor risk modeling
Real-time risk assessment
Portfolio optimization
Case study: Global bank transformation
Challenge: Struggled to deliver timely advisor insights
Solution: AI-powered hyper-personalized advisor engagement
Result:
$600M+ in new assets under management through targeted advisor engagement
13.2K high-potential sales leads identified with a 65% success rate. incremental CLV unlocked
1,300 incremental leads generated through AI-driven insights, expanding market reach
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7
Insurance
Transforming insurance operations through AI innovation since 2000.
Claims excellence platform capabilities
Automated claims triage
Smart documentation
Real-time settlement
Fraud detection
Case study:Revolutionizing customer claims with advanced analytics
Challenge: Claims inefficiencies hinder growth, profitability
Solution: AI-driven analytics optimize claims processing
Result:
$100M+ revenue impact in 3 years
10X correct predictions, 10% fewer errors
$25M-$35M EBITDA opportunity identified
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8
Industrials, manufacturing and energy
Data driven platform capabilities
Operational optimization
Predictive maintenance
Sustained growth
Data analytics
Case study: Transformative data solutions in the automotive industry
Challenge: Decoding data entities in 24 hours for post-test insights
Solution: Fractal’s DataLogger decodes physical streams for actionable insights
Result:
Cost efficiency from 1,000 euros to 25 euros per TB
Freedom from external licensing costs
From strategy to scaled AI impact in 4 Phases
Fractal follows a proven, structured approach to ensure seamless AI adoption and measurable business impact
Phase 1
Discovery and strategy
What we do
Identify business challenges and AI opportunities
Define success metrics and ROI modeling
Conduct data readiness assessments
Build a customized AI roadmap
Outcome: Clear AI strategy aligned with your business goals
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Phase 2
Solution design and development
What we do
Design intuitive dashboards & user experiences
Develop AI models & automation workflows
Integrate AI into your existing data systems
Ensure regulatory & compliance alignment
Outcome: AI-driven solutions ready for real-world deployment
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Phase 3
Deployment and testing
What we do
Provide stakeholder training and adoption support
Conduct performance validation and A/B testing
Optimize security & compliance controls
Scale AI across multiple business units
Outcome: AI solutions successfully deployed with minimal risk
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Phase 4
Optimization and continuous learning
What we do
Monitor AI performance in real time
Scale AI use cases across additional departments
Provide proactive support & regular enhancements
Continuously improve models through feedback loops
Outcome: Sustainable AI transformation with ongoing business impact
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Why our approach works
1
Proven framework tailored for industry-specific AI implementation
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2
Seamless integration with cloud, legacy, and enterprise systems
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3
Scalable and compliant AI—ensuring long-term success
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Fractal’s industry recognitions
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Featured in Forrester & Gartner Reports for AI-driven enterprise solutions
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Certified AI security & compliance for regulated industries
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Trusted AI partner for 170+ global enterprises
Recognition and achievements