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Véracité

Smarter Product Matching, Powered by AI and Human Experts

Enhancing AI with Human Expertise for Unparalleled
Accuracy and Product Matching Coverage

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Why AI Alone Isn't Always Enough

Data Gaps and Inconsistent IDs

AI struggles when product pages lack standardized IDs like UPC or MPN. Missing details lead to incorrect or missed matches.

Regional and Cultural Context

Local product names, branding differences, and packaging variations require human insight to ensure accurate matches.

Subjective Matching Criteria

Matching becomes challenging when criteria vary by category—fashion relies on aesthetics, home furnishings on coordinated sets, and grocery on packaging differences.

Powered by AI, Refined by Experts

Véracité, DataWeave’s in-house product matching system, delivers unmatched accuracy, efficiency, and reliability. Achieve flawless product matching with AI-driven intelligence and expert-backed precision.

The Human Advantage

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Contextual Understanding

Our experts analyze images, descriptions, and category-specific attributes, applying domain expertise to resolve nuances.

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Quality Control

We validate AI predictions to minimize errors and ensure accurate, reliable product matches across categories.

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Continuous Learning

Human feedback trains AI models, improving future matches and reducing manual interventions over time.

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Match Governance

For variants, substitutes, and private labels, businesses need control over matches. We use domain knowledge to align them.

How Véracité Works

  • AI-Driven Product Matching: Our multimodal AI engine matches products using text, images, and attributes.
  • Expert-Led Verification: A dedicated validation team reviews AI matches for accuracy and resolves ambiguities.
  • Confidence-Based Validation: Matches are validated using AI confidence scores, with experts reviewing high-risk cases.
  • Continuous Learning: Expert feedback continuously refines AI models, improving accuracy and minimizing manual effort.

Veracite Workflow

Veracite: The Foundation for Smarter Commerce

  • Competitive Intelligence: Accurate product matching enables competitive insights, price tracking, and market benchmarking.
  • Price Management: Ensure precise price monitoring, optimization, and dynamic price management.
  • Content & Assortment Planning: Standardize attributes, improve recommendations, and refine assortment planning.

Veracite Integrations

Impact of Véracité

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95%+ Accuracy

Precision you can trust

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<1% Missed Matches

Minimal gaps, maximum coverage

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40% Faster Turnaround

Speed without compromise

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Expert-Verified Knowledge

AI-driven, human-refined insights

Frequently Asked Questions

How does Véracité combine AI with human expertise?

Véracité uses AI to automate the process of identifying product matches across various platforms. However, human experts play a crucial role by validating the AI-generated matches, refining the results, and ensuring contextual alignment with business needs. This combination ensures both high efficiency and accuracy, minimizing errors and providing a more reliable and comprehensive competitive analysis.

How does the feedback loop improve AI accuracy over time?

The feedback loop allows experts to correct AI-generated matches, and these corrections are fed back into the system. This iterative process helps refine the AI models, improving their accuracy and reducing the need for manual intervention with each cycle. As a result, the system becomes more efficient and accurate over time, offering better product matching and more reliable competitive insights.

How does Véracité reduce false positives and missed matches?

Véracité employs AI confidence scoring to prioritize and direct expert validation towards high-risk product matches. This targeted approach minimizes errors, reduces false positives, and ensures that no relevant matches are missed, leading to more accurate and comprehensive product data. The combination of AI efficiency and human expertise ensures high-quality and reliable product matching.

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