Adaptive contact data processing using hybrid rule-based and inference-powered column mapping

Abstract

A computing system receives an input file containing contact information and parses the file to extract columns and rows of contact data. The system computes an essential-field coverage metric quantifying how well parsed columns map to required contact fields. When the metric meets or exceeds a threshold, the system performs rule-based column mapping using exact header matching against known external formats to generate a first mapping. When the metric falls below the threshold or rule-based mapping is unavailable, the system invokes a large language model-based column mapping engine to produce a second mapping comprising structured output conforming to a predefined schema. The system extracts contact information using the first or second mapping to generate structured contact data and provides the structured contact data to a consuming application or process. Related apparatus, systems, techniques and articles are also described.