PoI Data Enrichment for a Global Navigation & Mapping Platform
Overview:
A global mapping and navigation provider for luxury automotive brands needed to process large volumes of street-level, geo-tagged images across India. The objective was to enrich raw location data with high-quality PoI (Point of Interest) attributes to enhance mapping intelligence.
Approach:
- Deployed a scalable annotation team for high-volume image processing
- Designed structured workflows for PoI attribute enrichment
- Implemented 2-level quality assurance for accuracy and consistency
Attribute Enrichment Framework:
Temporal Attributes:
Time of day, arrival/departure patterns, and dwell time insights
Contextual Attributes:
POI category, operating hours, and brand affiliation
Spatial Attributes:
Polygon boundary mapping and parent-child relationship structuring
Execution:
- Processed 75,000+ geo-tagged images across diverse locations
- Ensured high attribute completeness and consistency
- Maintained quality through rigorous validation workflows
Impact:
- Achieved 98%+ attribute fill rates across key data fields
- Enhanced mapping accuracy and PoI intelligence
- Reduced operational overheads through structured workflows
- Accelerated client’s go-to-market for India mapping data