Snowflake-native AISQL solution to deduplicate issues through a 4-stage approach, with Entity Resolution, improving customer experience.

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Demonstrates a Snowflake-native approach to deduplicating customer complaints using AISQL functions. The solution combines AI_COMPLETE for entity extraction and summarization, AI_EMBED for vectorization, VECTOR_COSINE_SIMILARITY for semantic matching, and JAROWINKLER_SIMILARITY for fuzzy string matching. The architecture includes preprocessing with Cortex LLMs, master entity resolution through deterministic and probabilistic matching, similarity analysis to identify duplicate cases, and automation capabilities using Streams and Tasks. Addresses common challenges like inconsistent identifiers and multi-channel complaint submissions while providing accurate complaint counts and visibility.

Smart Complaint Deduplication Using Snowflake-Native AISQL

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