MDM, PIM, SDM

Unclear, inconsistent, and incomplete product data makes the identification of duplicate or similar products difficult, resulting in inefficient and more expensive procurement.

No-Mess — Transforms dirty data into rationalized master product data Generates standardized product descriptions Identifies duplicate or similar products
Rationalizes product data and uses it for searching, purchasing, and analyzing Protects data from future contamination

The No-Mess Suite comprises three key subsystems, various lexicons, and knowledge bases.

No-Mess HighClass
Automatic classifier — formalizes the product description, generates clusters of products, and auto-classifies them

Formalizes the product descriptions into a unified, normalized structure
Clusters the products into distinct clusters based on the content of the description
Classifies data according to any given taxonomy system
Actively trains the knowledge base with new examples (self learning)
Accumulates knowledge and generates a knowledge infrastructure

No-Mess DupliCut
Automatic duplicate identifier — extracts, enriches, compares product identifiers and technical attributes, and finds similar products

Extracts values into attributes according to a given taxonomy
Enriches selected attributes
Identifies products that share certain, pre-defined technical similarities, by various user-defined strategies
Generates standardized descriptions that are systematic, informative, and pre-defined by category

No-Mess BodyGuard
Real-time protection of master data ("data wall")

Generates product data by applying the above modules
Identifies and suggests similar or alternative products
Continually updates and trains the knowledge base and lexicons with new information

Contact an InQuera representative to find out how No-Mess can benefit your business.

Back to No-Mess Suite

No-Mess Subsystems

Unclear, inconsistent, and incomplete product data makes the identification of duplicate or similar products difficult, resulting in inefficient and more expensive procurement.