Product matching software

Recognize and transform complex product data using machine learning and semantic technology to catalog products, enrich product data, and improve product classification.

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What is product matching?

Product matching is a data quality process used by retailers, manufacturers, and market research professionals to deduplicate, enrich, classify, and standardize product data. Product matching helps you to get pricing intelligence and create a single product view for both internal and external audiences.

Retailers and manufacturers match and standardize product data based on several types of classification standards – each catering to specific rules and regulations of local and international trading, such as UNSPSC, GPC, eClass, etc. These standards help retailers in easier product data management and offering better shopping experience to customers, through standardized product taxonomies and naming conventions.


How does product matching work?

Combine and profile product data

Bring product data together at one place and build quick product data summary report to highlight missing, incomplete, or invalid values present and identify potential data cleansing opportunities.

Recognize product semantics and context

Powerful semantic matching technology is used to make sense of complex, unstructured product information, and recognize its context to understand what the product is and how it is used.

Match similar products

Once, product data is clean, standardized, and classified, similar products can now be matched based on unique attributes, or in case they are not available, a combination of attributes is used to perform fuzzy matching, and identify duplicate products.

Parse and standardize product attributes

Parse long descriptions to identify important, unique product attributes, and ensure all products follow a consistent format of descriptions according to nouns, modifier, vendor name, part number, UOM, etc.

Classify and categorize products

The contextual information identified for products is then used to correctly classify and categorize them in the right product hierarchies to build optimal product taxonomy.

Enrich product information

Product duplication is resolved by either deleting duplicate entries or enriching product information by merging attributes and hence, preventing data loss.


Let Data Ladder handle your product matching

See ProductMatch at work

ProductMatch is a highly visual and intuitive product matching software application, specifically designed to resolve product data quality issues. It offers extensive capabilities to clean, parse, standardize, and match product data.

Additionally, it can automatically build product taxonomies and perform product classification. It can also identify duplicate products by using a combination of established and proprietary fuzzy matching algorithms that work on complex product datasets gathered from various vendors.

Our product matching software is specifically designed to uncover the hidden relationships, learn from past experience through machine learning, and create hierarchical categorization to classify unstructured data.

Business benefits

How can product matching benefit you?

Achieve a Single Product View

Obtain clarity of distinct product categories and missing SKUs across disparate sources to ensure efficient inventory, stock ordering, and invoicing operations.

Comply with Classification Standards

Classify products into industry-standard (UNSPSC, ECLASS) or custom taxonomies by automatically deriving hierarchies using contextual recognition.

Leverage Competitive Insights

Gain product insights across leading retailers and your competition to formulate your pricing strategy to maximize profit margins.

Lower Inventory Costs

Identify and remove duplicate and redundant product information to minimize inventory parts for logistics and storage.

Optimize Product Listings

Enhance listing visibility using synchronized product titles, descriptions, reviews, and features to drive higher traffic and conversions.

Save Time

Automate product cleansing, matching, and standardization using real-time API flows to save countless hours in manual work.

Let’s compare

How accurate is our solution?

In-house implementations have a 10% chance of losing in-house personnel, so over 5 years, half of the in-house implementations lose the core member who ran and understood the matching program.

Detailed tests were completed on 15 different product comparisons with university, government, and private companies (80K to 8M records), and these results were found: (Note: this includes the effect of false positives)

Features of the solutionData LadderIBM Quality StageSAS DatafluxIn-House SolutionsComments
Match Accuracy (Between 40K to 8M record samples)96%91%84%65-85%Multi-threaded, in-memory, no-SQL processing to optimize for speed and accuracy. Speed is important, because the more match iterations you can run, the more accurate your results will be.
Software SpeedVery FastFastFastSlowA metric for ease of use. Here speed indicates time to first result, not necessary full cleansing.
Time to First Result15 Minutes2 Months+2 Months+3 Months+
Purchasing/Licensing Costing80 to 95% Below Competition$370K+$220K+$250K+Includes base license costs.

Frequently asked questions

Got more questions? Check this out

It’s a logical, hierarchal structure to organize your products to facilitate the easy navigation of products. Much like a retail store’s product categorization, product taxonomy for online retail stores helps consumers find relevant information easily. The fundamental purpose of a product taxonomy is to improve customer experience & in the process, making it easier for store owners to manage their product data.
Product classification standards (such as UNPSC, GPC, eClass, etc.) are developed by organizations, government bodies, and global trade communities to help eCommerce businesses trade and move products globally. Standards play a critical role in custom procedures where they are used as trade statistics for exports and imports; allowing for product comparisons between countries.

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