Automotive Aftermarket Data Management Services

SoftNis’s Automotive product data management (ADM) Solution helps Manufacturers, Distributors and Retailers to overcome the challenges they face with data and storage management, especially when large volumes of data are involved.

We at SoftNis are committed to providing Clean, Consistent, Accurate and Enhanced Product Information on Time.

Automotive and Aftermarket Data Management Services

Automotive Aftermarket Data Enrichment

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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Automotive Aftermarket Data Cleansing

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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Automotive Aftermarket Classification

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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Competitor’s Price Sourcing

This process involves finding similar items on the competitor’s website and capturing the price for reference.

Automotive Aftermarket Data DeDuplication

Duplicates are identified and eliminated by adopting various permutations of pattern matching rules, database queries and manual inspection.

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Benefits:

Improved Product Identification, Search and Classification.
Improvement in Procurement Service Level.
Improvement in Spend Management by Planning at Products Category Level.
Improvement in Products Category Demand Visibility.
Decrease in Obsolete Products Stock.
Reduce the Time Required to Locate the Parts in Warehouse.