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Product Matching

Match Products Faster and Smarter With Domain-Specific AI

UPC and GTIN codes only take you so far - our AI matches identical, similar, and private label products by comparing attributes, descriptions, and images

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Product Matching: What It Means & Why It Counts


Product Matching is grouping ‘exact’ and ‘similar’ products using advanced criteria that goes beyond simple UPC/GTIN matching.

As retailers embrace private label products, product matching ensures accurate matching every time, with no missed matches

product-matching-definition

Product Matching Drives Several Strategic Outcomes

price-optimization-icon

Pricing Intelligence

Aligns identical and similar products across competitors for precise price comparisons

competitive-intelligence-icon

Competitive Intelligence

Matches products across retailers for strategic market positioning and analysis

assortment-planning-icon

Assortment Planning

Identifies gaps and opportunities by comparing product availability and variations

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Content Recommendations

Drives accurate content benchmarking and data-driven content recommendations

Matching Products is No Mean Feat

One Problem,
Many Flavours

What's Similar Varies By Industry

Non-standard and Incomplete Data

Image Variance - Poses, Background, Lighting

One Problem,
Many Flavours

Product-Matching-Types

Product matching comes in many flavors — it's more than just finding identical SKUs.

  • Exact matches - where all key attributes align across sources.
  • Close variants - such as different colors, sizes, or packaging of the same core product.
  • Substitutes - products that serve the same purpose but differ in brand, ingredients, or specifications.
  • Complementary combos - bundled items that are typically bought together, like a phone and charger or a sofa and ottoman.

What's Similar Varies By Industry

subjective-matching

In jewelry, matching goes beyond exact specs — it often hinges on subjective elements like design, aesthetics, and style, making it crucial to factor in visual and contextual cues.

matching-sets



For home furnishings, product matching often focuses on coordinated sets rather than individual pieces, requiring recognition of design harmony and contextual grouping.

Non-standard and Incomplete Data

Non-standard and Incomplete Data

Product titles and descriptions are often inconsistent, incomplete, or overloaded with marketing language, making it hard to extract key attributes. Adding to the complexity, size charts vary by brand, and acronyms or abbreviations differ across retailers.

Image Variance - Poses, Background, Lighting

Data Variance

Differences in pose, background, lighting, and orientation can make visually similar products appear very different. Accurately identifying matches requires advanced computer vision that can see beyond surface-level changes.

How Does DataWeave Match Products?

  • We combine product text, images, and deep retail expertise to match products with high accuracy and context awareness.
  • Our retail-trained AI pipeline handles everything from data prep to multi-modal classification, at scale.
  • Human experts stay in the loop to validate complex or subjective matches, ensuring reliability.
  • You get full transparency with clear match stats, accuracy, miss rates, and more.
  • The result? 95%+ accuracy and <5% misses across categories, retailers, and formats.

Product Matching Pipeline

We Match Everything, Everywhere - with Precision

We support all types of product matches across verticals, regions, languages and sales channels.

Product Matching Coverage

Frequently Asked Questions

What is product matching, and how does it benefit retail businesses?

Product matching identifies identical, similar, or variant products across different retailers, even when listings vary in format or description. This enables price optimization, competitive benchmarking, improved assortment planning, and ensures content accuracy across platforms.

What inputs are required to enable accurate product matching?

You can provide product identifiers such as names, SKUs, UPCs/GTINs, descriptions, and images. The more detailed the inputs, the higher the match accuracy across categories and retailers.

How does DataWeave ensure high accuracy in product matching?

DataWeave combines machine learning, natural language processing, computer vision, and human-in-the-loop validation to deliver 99%+ match accuracy—even when product data is incomplete, inconsistent, or unstructured.

Can the product matching solution handle private labels and custom business rules?

Yes, our solution supports private label-to-brand comparisons and allows customization of matching criteria, such as attribute weighting, category-specific logic, and brand equivalence mapping.

How frequently are product matches updated, and can I manage tracked items dynamically?

Matches are refreshed continuously, with configurable update frequencies. You can add or modify tracked products in real time via our platform or through API-based integrations to support promotions or business shifts.

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