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ACCURACY AND COVERAGE

Data You Can Trust. Coverage You Can Count On.

Leave the guesswork behind. Power your decisions with trusted, data-rich intelligence that captures the full competitive landscape

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Better Decisions Start With Data You Can Trust

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Make Every Decision Count

Competitive strategy relies on reliable, complete data—without accuracy, insights falter; without coverage, key pieces get missed

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No Gaps, No Missed Opportunities

Without coverage, key competitors, products, or trends go unnoticed. Comprehensive data ensures a complete market view

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Continuous Monitoring, Always Up to Date

Periodic audits and timely tracking ensure your intelligence remains current and actionable.

The Pillars of High-Quality Data

For intelligence that drives real impact, your data must be:

  • Accurate: Every data point must be validated to ensure precision, minimizing errors and misinformation.
  • Comprehensive: Capture extensive data to ensure no competitor, product, or trend is overlooked.
  • Timely: Data must be up to date always, providing fresh insights that keep you ahead of the competition.

Pillars of Data Quality

Reliable Competitive Intelligence: How We Get It Right

  • AI-Powered Precision: Advanced algorithms ensure accurate product matching, price tracking, and competitor insights.
  • Comprehensive Data Collection: Flexible and robust data collection ensures full coverage across marketplaces and touchpoints.
  • Human-in-the-Loop Verification: Expert validation enhances accuracy and coverage where AI alone isn't enough.
  • Ongoing Audits and Refinements: Continuous monitoring and learning ensures your intelligence stays accurate and up to date.

Data Quality Workflow

Anomaly Detection
and Audits

Transparent Data Stats for Quality Assurance

Human-in-the-Loop
Verification

Anomaly Detection
and Audits

Anomaly Detection

Use advanced statistical techniques to identify and flag outlier data. Automatically detect anomalies and send timely alerts to relevant stakeholders.

Accuracy Evaluation

Each dataset is evaluated for accuracy, consistency, timeliness and completeness. Validate data against multiple trusted sources to identify and correct errors.

Transparent Data Stats for Quality Assurance

Match Statistics

Our Data Statistics Dashboard gives you complete visibility into your match quality and data freshness.

Match Distribution

Know the distribution of match types (exact and similar) across retailers and locations.

Human-in-the-Loop
Verification

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With Veracite, our in-house human-in-the-loop matching and verification system, we guarantee unmatched accuracy and coverage in product matching:

  • Expert Validation: Product category specialists add, approve, and disapprove product matches with detailed reasoning.
  • Continuous Learning: AI matching models evolve and improve over time through continuous expert feedback, enhancing matching accuracy and performance

Frequently Asked Questions

How does DataWeave ensure match accuracy across different products?

DataWeave ensures match accuracy by leveraging AI-powered algorithms that analyze deep product attributes such as specifications, images, and descriptions. Our approach combines machine learning with human verification to validate product matches, even for complex or niche items. This hybrid method helps maintain high accuracy, ensuring reliable product comparisons and competitive intelligence across various marketplaces.

What role does data freshness play in competitive intelligence?

Data freshness is crucial in competitive intelligence as it ensures businesses have the most current market insights. Timely access to updated data allows for quicker responses to pricing changes, inventory shifts, and new product launches, enabling companies to make informed decisions. Fresh data supports competitive agility, helping businesses stay ahead of market trends, adjust strategies promptly, and maintain a competitive edge.

What do you mean by "no missed matches"? Why is it important?

"No missed matches" means that every relevant product is accurately identified and mapped to its counterpart across retailers, leaving no product overlooked in competitive analysis. This is important because it ensures complete visibility of competitor offerings, allowing businesses to track all relevant pricing, promotions, and assortments. Without this, a business could miss critical insights into market dynamics, potentially impacting their competitive positioning and decision-making.

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