Transform Your Business with AI: Potential Success Stories

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2-3 monthsFeatured

Developing a KVKK-Compliant Smart Fraud Detection Strategy

FinanceFraud DetectionKVKK ComplianceStrategy
Aims to create AI-based, KVKK-compliant strategies with advanced anomaly detection and behavioral analytics by analyzing existing fraud detection systems in financial institutions. Provides a roadmap for potential AI tools and models, contributes to internal team competency development, and conducts ROI analyses. Considering 78.9% of businesses in Turkey lack AI expertise, this consultancy fills a critical gap.
Challenge
Financial institutions struggle to combat increasing fraud threats while ensuring full compliance with legal regulations like KVKK and clarifying the ROI of AI investments.
Solution
Current state analysis, identification of AI opportunities, creation of a KVKK-compliant data governance framework, customized AI model strategies, and ROI projections.
Target Results
  • Up to 20 % increase in fraud detection rates
  • Up to 15 % reduction in false positive rates
  • Reduction in KVKK compliance risks
  • Increased clarity on AI project ROI
Up to 20 %Fraud Detection Uplift
≈15 %False Positive Reduction
IncreaseROI Clarity
3-4 monthsFeatured

Strategic Consultancy for AI-Powered Early Diagnosis Projects in Healthcare

HealthcareEarly DiagnosisMedical ImagingKVKK Compliance
Provides a strategic roadmap for healthcare institutions to implement AI-based early diagnosis solutions, especially in medical imaging. Offers guidance on data governance, KVKK compliance, ethical rules, model selection, and clinical integration. Includes pilot project planning and ROI analysis. Aims to increase AI literacy in the healthcare sector, where lack of expertise is a significant barrier.
Challenge
Healthcare institutions want to use AI's potential for early diagnosis but face challenges in data privacy, model accuracy, and integration with existing systems.
Solution
Analysis of existing infrastructure and data, development of a KVKK-compliant AI strategy, identification of potential use cases and AI models, pilot project design, and feasibility study.
Target Results
  • Up to 5-10 % increase in diagnostic accuracy
  • Up to 5 % reduction in false positive rates
  • Reduction in data privacy (KVKK) risks
  • Increase in operational efficiency
Up to 10 %Diagnostic Accuracy Uplift
TargetedEfficiency Boost
EnhancedKVKK Compliance
2-4 monthsFeatured

AI-Powered Personalization and Sales Growth Strategy for SME E-commerce

E-commerceSMEPersonalizationMarketing Automation
Develops AI strategies for SMEs to effectively use customer data on e-commerce platforms for personalized product recommendations, campaigns, and content. Offers consultancy on selecting and integrating cost-effective AI tools and marketing automation. Includes customer segmentation and ROI-focused campaign planning, addressing the AI expertise gap in SMEs.
Challenge
SMEs struggle to offer personalized customer experiences and invest in AI technologies due to resource and expertise constraints while competing with large e-commerce platforms.
Solution
Assessment of existing data sources, creation of an SME-specific AI personalization strategy, selection of suitable AI tools with an integration roadmap, basic marketing automation, and ROI projections.
Target Results
  • Up to 15 % increase in conversion rates
  • Increase in customer loyalty
  • Up to 10 % improvement in marketing campaign effectiveness
  • Reduction in abandoned cart rates
Up to 15 %Conversion Uplift
IncreaseCustomer Loyalty
Up to 10 %Campaign Effectiveness
3-5 monthsFeatured

AI-Powered Predictive Maintenance Strategy and Pilot Consultancy in Manufacturing

ManufacturingPredictive MaintenanceIndustry 4.0Data Analytics
Develops AI-based predictive maintenance strategies for critical equipment in manufacturing companies and provides a roadmap for a pilot implementation. Guides on sensor data collection, analysis, selection of appropriate AI models, and integration into existing maintenance processes. Includes basic AI awareness training for the team and ROI analysis, addressing the sector's expertise gap.
Challenge
Manufacturing companies experience unexpected production losses due to machine failures and struggle with the cost and inefficiency of traditional maintenance methods. AI implementation expertise is lacking.
Solution
Equipment and data analysis, development of an AI predictive maintenance strategy, model and sensor selection for a pilot project, integration plan, and ROI projection.
Target Results
  • Up to 20 % reduction in unplanned downtime
  • 10-15 % reduction in maintenance costs
  • Increase in equipment lifespan
  • Increase in production efficiency
Up to 20 %Downtime Reduction
≈10-15 %Maintenance Cost Cut
IncreaseEfficiency
3-4 months

AI-Powered Customer Churn Prevention Strategy Consultancy for Telecom

TelecommunicationsCustomer ExperienceChurn AnalysisData Analytics
Develops strategies for telecom operators to use AI in analyzing customer data, enabling early detection of behaviors that indicate potential churn. This consultancy offers AI-based approaches for personalized retention campaigns, proactive customer service interventions, and enhanced loyalty programs. It includes guidance on establishing a robust data analytics infrastructure and refining model development processes to maximize churn prediction accuracy and retention effectiveness.
Challenge
Telecom operators face challenges in reducing customer churn and maintaining loyalty in a competitive market. Identifying at-risk customers and determining proactive measures is complex.
Solution
Customer data analysis and segmentation, strategy creation for AI-based churn prediction models, a roadmap for personalized retention actions, and ROI analysis.
Target Results
  • Up to 10-15 % reduction in subscriber churn rate
  • Increase in customer lifetime value (CLTV)
  • Increased effectiveness of personalized retention campaigns
  • Improvement in customer satisfaction
Up to 15 %Churn Reduction
TargetedCLTV Increase
IncreaseCampaign Effectiveness
2-4 months

GenAI-Powered Internal Knowledge Search for Enhanced Productivity

TechnologyGenerative AIKnowledge ManagementProductivity
This engagement focuses on developing and deploying a custom Generative AI-powered search solution for a technology company's internal knowledge bases (e.g., wikis, documentation, shared drives). The consultant will assess existing knowledge sources, select and fine-tune appropriate GenAI models, and build a user-friendly interface for employees to quickly find accurate information, thereby reducing wasted time and boosting overall productivity. This is particularly valuable for tech companies with rapidly evolving products and extensive internal documentation.
Challenge
Technology company employees spend significant time searching for information scattered across various internal platforms, leading to reduced productivity and frustration.
Solution
Develop a secure, custom GenAI search application that indexes internal knowledge sources and provides natural language query capabilities with accurate, context-aware answers.
Target Results
  • Internal information retrieval time reduced by up to 40 %
  • Employee productivity improved by up to 15 %
  • Faster onboarding for new hires
  • Improved consistency in accessing up-to-date information
Up to 40 %Info Retrieval Time Cut
Up to 15 %Productivity Boost
2-4 MonthsDeployment Time

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