multi-agent text classification with human-in-the-loop review — hierarchical categories, confidence scoring, full-text search, and submission tracking.
E-commerce companies receive product data from hundreds of suppliers — each with their own naming conventions, abbreviations, and category structures. "Nike Air Max 90 Men's Running Shoe Black/White" from one supplier becomes "NIKE AM90 M BLK/WHT RUNNING" from another.
Manual normalization doesn't scale. Regex breaks on edge cases. Customers can't find products because search fails on inconsistent titles. Categories are wrong. Filters break. Revenue leaks through bad data.
Feed your product catalog through our text agent. It classifies, normalizes, and maps to your taxonomy — then surfaces uncertain items for human review. The more you review, the more confident it becomes.
Hierarchical Categories
Manage nested category trees with parent-child relationships
Multi-Agent Classification
Gemini-powered pipeline with confidence scoring and cache layer
Review Queue
Approve or reject pending submissions with one-click actions
Full-Text Search
Search across all entries instantly with real-time results
Analytics Dashboard
Stats cards, category distribution charts, recent submissions
Classification Cache
Normalized text caching for consistent, fast re-classification
Submit text, watch the agent classify it, review results in the queue. Hierarchical categories, confidence scores, and full-text search built in.
calendar_monthBook a Setup CallText Management is an agent-powered pipeline for classifying, normalizing, and mapping product text at scale. Handles titles, descriptions, categories, and consistency checks with human review flows.
| Capability | baachee.ai | Manual tagging / rules engines |
|---|---|---|
| Handles free-form text | Yes | Rigid rules only |
| Confidence-based review | Built-in queues | All-or-nothing |
| Learns from corrections | Yes | No |
| Throughput | Thousands/hour | Hundreds/day |