Projects
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Implementation Project Case Studies
Solution Use Case
Production ReadyComplex Excel Data Organization & Integration
Challenge
Complex Excel files scattered across departments were not integrated, requiring significant time for data analysis
Solution
Automated data cleaning and integrated system development using INDX's lightweight data organization platform
Key Features
Automated Data Cleaning
Automatically detect Excel files with different formats and structures, converting them into unified formats
Data Quality Validation System
Automatically eliminate duplicate data, fill missing values, and perform data consistency checks
Real-time Integrated Analysis
Generate real-time dashboards and analytical reports utilizing organized data
Results
Solution Use Case
Production ReadyAI-Ready Conversion of Vast Manuals & Internal Regulations
Challenge
Thousands of manual and regulation documents created in PDF, Word, PowerPoint formats were scattered and not AI-ready
Solution
Comprehensive document AI-Ready platform development using INDX's proprietary document structuring engine
Key Features
Multi-format Document Integration Processing
Uniformly analyze PDF, Word, PowerPoint, and image files, converting them into AI-searchable formats
Automatic Hierarchical Structure Extraction
Automatically recognize document chapter structures and item hierarchies, creating databases that preserve semantic hierarchical structures
Semantic Search System
High-precision search and presentation of related regulations and procedures even for ambiguous natural language queries
Results
Solution Use Case
Production ReadyPremium Customer Insights Extraction from Vast CRM Data
Challenge
Difficult to identify premium customer characteristics from tens of thousands of CRM data entries and formulate effective marketing strategies
Solution
Insight extraction and prediction system development using INDX's proprietary customer behavior analysis engine
Key Features
Automated Customer Segmentation
Integrate and analyze purchase history, behavioral data, and attribute information to automatically generate high-precision customer segments
LTV Prediction & Churn Prediction
Customer lifetime value prediction and early churn risk detection system using machine learning
Personalization Recommendations
Optimal product and service recommendation system based on individual customer preferences and behavioral patterns
Results
Implementation Process
※ Duration varies depending on project scale and complexity. The above is a standard implementation schedule guideline.
Phase1: Challenge Analysis & PoC Design
Conduct current state analysis and technical verification to implement optimal solution design
Key Deliverables
- Current State Analysis Report
- Technical Verification Results
- Solution Design Document
- PoC Implementation Plan
Phase2: Prototype Development & Verification
Prototype development using actual data and effectiveness verification
Key Deliverables
- Prototype System
- Effectiveness Verification Report
- Full Implementation Proposal
- Operation Manual (Initial Version)
Phase3: Full Implementation & Operation Start
Implementation in production environment, user training, and operation support initiation
Key Deliverables
- Production System
- User Manual
- Operation & Maintenance Framework
- Performance Measurement Dashboard
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