Manufacturers, wholesale and retail distributors of electrical products face multiple challenges in meeting dynamic customer demands and product offerings even as, on time delivery plays a key role.
We at SoftNis are specialized in managing Electrical and other Industrial Supply Products Data, with more than 25 years of our consolidated experience in more than 6 languages. We at SoftNis provide Clean, Consistent, Accurate and Enriched Products Data with customized Data Management solutions, and assist customers to focus on their core competency.
We at Softnis, strongly believe that Data enrichment is a value adding process to provide more information of the product to the customer while enhancing the quality and richness of the product data.
Our Data Enrichment practice follows the methodology of Product sourcing, Identification (Defining Noun Modifiers), Product Classification, Taxonomy Development, Schema Development, Specification capturing, Applications, Features and its Benefits, Information Listing, Description Generation (Long and Short using abbreviations), Inputs from the MSDS (Material Safety Data Sheet) / Technical Data Sheets / Installation Sheets, and Image Capture / Format / Resizing.
Resources would include manufacturers / Supplier’s website, datasheets, and indexes, catalogues and other relevant documents
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A meticulous process of rearranging Data to a Suitable Form as per Customer Specifications after analyzing the given Input Product Description. For example, in Supply Chain Management usually suppliers cannot use the data in the manufacturer's website directly. The product data has to be cleansed to suit individual customer requirements.
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We are specialized in UNSPSC, eCl@ss and Custom Classification and have worked on data in more than 5 languages, mainly English, Spanish, German, French and Italian.
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This is process of finding the same item in the competitor website and capturing the price for reference.
Duplicates are identified and eliminated by adopting various permutations of pattern matching rules, database queries and manual inspection.
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CONTACT US for data sample on Electrical Products Data Management.