The Automotive product data management plays an important role in the automotive industry since there is an increased product complexity in the form of customized products, speeding time to reach the market, variety of the vehicles and their spare parts, accessories and growing invocations and new products to markets.
SoftNis’s Automotive Data Management (ADM) Solution helps Manufactures, Distributors and Retailers to overcome the challenges they face with data and storage management, especially when large volumes of data are handled. We at SoftNis are committed to providing Clean, Consistent, Accurate and Enhanced Product Information on Time.
Data Enrichment is a Process of Enhancing the Data from the External Resources, like Web, Catalogs or other Documents. Data Enrichment includes Product Identification, Specification Capture, Application, Features and Benefits of Information Listing, Downloading MSDS (Material Safety Data Sheet) / Technical Data Sheets / Installation Sheets, if any. Description Generation, Image Capture / Format / Resize, and Classification. READMORE…>>
Data Cleansing is the 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 many a times suppliers cannot use the data in the manufacturer's website directly. The product data has to be cleansed to suit individual customer requirements. READMORE…>>
Data Classification is the Categorization of Data for its most effective and efficient use. We are specialized in UNSPSC Classification and have handled data in more than 5 languages, mainly English, Spanish, German, French and Italian. READMORE…>>
We have extensively worked on Epicor Prophet 21 ERP System, on aspects like Cleansing/Customization of the manufacturer's input data to Distributor’s Specific P21 Upload Format, like, Product Identification, Rearranging the Attribute Suitably, Application and Notes Capture. READMORE…>>
This is process of finding the same item in the competitor website and capturing the price for reference.
Duplicates are identified and removed by adopting various permutations of pattern matching rules, database queries and manual inspection.