Powerful Features for Competitive Intelligence
Everything you need to understand your competitive landscape, optimize pricing, and identify growth opportunities.
AI-Powered Product Matching
Our ensemble ML approach combines multiple similarity methods for superior accuracy.
- TF-IDF for exact term matching
- BERT & BGE semantic embeddings
- Word2Vec and FastText word vectors
- Method agreement scoring for confidence
- Works without shared identifiers (SKU, GTIN)
AI-Powered Product Matching Preview
Price Benchmarking
See exactly how your prices compare to competitors, down to the variant level.
- Product-level price comparison
- Variant matching (size, color, etc.)
- Price ratio analysis
- Historical price tracking
- Margin opportunity identification
Price Benchmarking Preview
Gap Analysis
Identify products and categories your competitors carry that you don't.
- Category coverage analysis
- Product gap identification
- Brand availability comparison
- Expansion opportunity scoring
- Market whitespace detection
Gap Analysis Preview
Category Intelligence
Understand how categories map between you and your competitors.
- Cross-catalog category matching
- Hierarchy normalization
- Duplicate category detection
- Canonical category selection
- Category depth analysis
Category Intelligence Preview
And Much More
Additional capabilities to support your competitive intelligence workflow.
Configurable Thresholds
Tune matching confidence levels to balance precision and recall for your needs.
Human-in-the-Loop Validation
Review and confirm matches with an intuitive labeling interface.
Custom Reports
Export data and generate reports tailored to your specific requirements.
Change Alerts
Get notified when competitors change prices, add products, or modify categories.
The Technology Behind CompeteView
Our multi-method ensemble approach delivers accuracy that single-method systems can't match.
Ensemble Scoring
We combine 6+ similarity methods and weight their outputs based on empirical performance:
- • SBERT & BGE: 50% (semantic understanding)
- • TF-IDF: 19% (exact term matching)
- • Doc2Vec: 12% (document similarity)
- • Word2Vec & FastText: 19% (word vectors)
Confidence Tiers
Matches are categorized by confidence level:
- • Exact Match: Score ≥0.85, 4+ methods agree
- • High Confidence: Score ≥0.70, 3+ methods agree
- • Probable: Score 0.50-0.70
- • Possible: Score 0.35-0.50
Variant Matching
Products with variants (size, color) are matched at the variant level:
- • Attribute extraction and normalization
- • Size/color/material parsing
- • Cross-variant price comparison
- • Missing variant identification
See These Features in Action
Get a personalized demo tailored to your catalog and competitive landscape.
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