Product Overview
From a CSV to the most complete product profile on the internet
See how Central’s 7-phase AI pipeline transforms sparse data into verified intelligence — confidence-scored, anti-hallucination checked, and channel-ready.
The Pipeline
7 phases from raw CSV to verified intelligence
Each phase transforms your product data incrementally. What enters as a sparse row exits as a complete, confidence-scored, channel-ready intelligence profile.
Phase 1: Import
Enters
A CSV with titles, SKUs, prices — maybe 5-10 fields
Exits
Structured product records with auto-detected categories. Your data scored at 1.0 confidence.
Phase 2: Field Suggestion
Enters
Category-assigned products with minimal fields
Exits
A schema of 50-129 category-specific fields that should exist — weight, noise level, certifications, materials, dimensions. The system knows what's missing.
Phase 3: Web Scraping
Enters
Product identifiers (name, EAN, brand)
Exits
10-20 web sources scraped per product — manufacturer sites, retailers, review sites, spec databases. Raw HTML stored for extraction.
Phase 4: Field Discovery
Enters
Scraped web pages with unstructured content
Exits
Additional fields discovered from real-world sources that weren't in the original schema. The web reveals what matters.
Phase 5: Extraction
Enters
Raw web pages + comprehensive field schema
Exits
Structured field values extracted from every source. Each value tagged with its source URL and extraction confidence.
Phase 6: Consolidation (Truth Engine)
Enters
Multiple values per field from multiple sources — often disagreeing
Exits
One canonical value per field, confidence-scored. Multi-source consensus. Disagreements resolved by evidence weight. The Truth Engine.
Phase 7: Optimization
Enters
Complete, validated product intelligence profiles
Exits
Channel-ready content: Google Shopping titles, Amazon keywords, meta descriptions, Schema.org markup, Smart Negatives, Living FAQ, contextual specs. Anti-hallucination checked.
Confidence Scoring
A credit score for every fact
Every field in every product profile carries a confidence score from 0.0 to 1.0. Not all data is created equal — and the system knows the difference.
- Brand-owned data
- Your own import data. Always trusted. The gold standard.
- 5+ independent sources agree
- Near-certainty. Multiple independent sources confirming the same value.
- 3-4 sources agree
- High confidence. Strong consensus across multiple web sources.
- 2 sources agree (display threshold)
- The minimum for display. Below this, the system stays silent.
- Single source only
- Stored but never shown. Silence is better than fiction.
Confidence Hierarchy
Below threshold — stored but not displayed
Anti-Hallucination
Every claim checked against 3 source layers
Writing is cheap. Truth is expensive. Every AI-generated claim passes through the Anti-Hallucination Validator, which cross-references against import data, scraped data, and enriched data.
Layer 1: Import Data
Your original data — always scored 1.0. The foundation of truth.
Layer 2: Scraped Data
10-20 web sources per product. Raw, independent observations from across the internet.
Layer 3: Enriched Data
Consolidated, confidence-scored intelligence. Multi-source validated values.
6 violation types detected and blocked
Fabricated Specifications
AI invents a spec that exists in no source. Blocked.
"SNELL certified" — not found in any of 14 sources.
Inflated Measurements
AI exaggerates a numeric value beyond any source. Blocked.
"Battery lasts 72 hours" — best source says 48 hours.
False Certifications
AI claims a certification the product doesn't have. Blocked.
"IP68 waterproof" — product is IP54 rated.
Invented Comparisons
AI makes competitive claims without data basis. Blocked.
"Best in class" — no comparative data exists.
Hallucinated Features
AI adds features that don't exist on the product. Blocked.
"Bluetooth 5.3" — product has no Bluetooth.
Misleading Context
AI provides technically true but misleading framing. Blocked.
"Lightweight at 2.1kg" — heaviest in its category.
The Transformation
What comes out the other side
A sparse CSV row becomes a verified, confidence-scored, channel-ready intelligence profile — automatically.
What goes in
5 fields · 0 validated · No competitive context
What comes out
1,640g — lighter than 72%
84 dB(A) — quieter than 68%
ECE 22.06
Not for track racing — no SNELL/FIM
87 product-specific Q&As
87 fields · 67.6% multi-source validated · Channel-perfect
Go deeper
Explore each layer of the system in detail.
Enrichment Engine
The full 7-phase pipeline deep dive. Follow a real product through every phase.
ExploreChannel Router
Same gold, different shapes. How each channel gets exactly what it needs.
ExploreProduct Widget
Install a salesperson on every product page. One script tag.
ExploreAIO & LLM Layer
Make your products visible to AI shopping agents.
ExploreSee the pipeline in action with your products
In 30 minutes, we’ll show you your products enriched, your data quality score, and what your customers are missing.