InferMap

Map the column names from this vendor CSV to our standard schema: customer_name, email, phone, company, country. Keep original names and confidence scores, and return a mapping table.

A mapping table with standard fields, original column names, confidence scores, and notes on unmatched fields.

We have multiple historical exports with inconsistent column names. Map them into the order schema: order_id, order_date, sku, quantity, unit_price, currency, and flag potentially conflicting fields.

Unified field mappings plus flagged conflicts, low-confidence columns, and items recommended for manual review.

Here is a sample table from a newly added data source. With zero configuration, map its columns to the user profile schema: user_id, full_name, signup_date, last_active_at, plan_type, status, and explain the mapping rationale.

A field mapping list, rationale for each match, and standardized output ready for downstream processing.