We at softnis, extensively worked on epicor prophet 21 erp system, like cleansing/customization of the manufactures raw input data to distributors specific p21 upload format, creating/managing the product categorization, opportunity manager, task manager, users and import/exporting the product information file(spreadsheet) and more epicor prophet 21 is a wholesale distribution erp solution, formerly known as activant prophet 21, utilizes a windows-based platform and sql server database. This technology gives prophet 21 the familiarity of other windows programs and shortens the learning curve for new users. The openness of the sql server database enables you to quickly adapt to changes in the marketplace and maintain your competitive advantage. Our epicor prophet 21 data management and service offerings: cleansing/customizing the manufactures raw input data into distributors specific p21 upload format, like, identifying noun modifier (product), attribute extraction, image capture/resize/format.Description generation like, long, long 255 (chars) and short descriptions (using abbreviations), creating/managing the product categorization in p21 system, creating/managing the opportunity manager in p21 system, creating/managing the task manager in p21 system, creating/managing the users and group in p21 system, importing/exporting the product information file (spreadsheet) and more

Softnis has over 10 years of robust experience in providing mro material master data cleansing and classification services. Our data management services are success driven to match every customers specific business requirements, to enhance operational performance while maintaining regulatory compliance. Service levelsexisting part description: dp bal brg 6006 2z/c3 30mm, skf level 1: priority cleansingstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, and duplicate records identification. Example: bearing, ball, deep groove, 30mm, skf, 6006-2z/c3 level 2: standardize and validate existing informationstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, duplicate records identification, uom normalization, and standardize and validate existing part description. Example: bearing, ball, deep groove, 30 mm id, c3 clearance, skf, 6006-2z/c3 level 3: enrichmentstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, duplicate records identification, uom normalization, standardize and validate existing part description, and, enhance description with additional attribute information. Example: bearing, ball, deep groove, 30 mm id, 55 mm od, 13 mm wd, steel cage, double shielded, single row, c3 clearance, 8.3 kn static, 13.8 kn dynamic, 28000 rpm material data standards softniss standard noun modifier dictionary (smd)currently softnis has more than 4, 000 unique noun modifier combination in the dictionary. The noun modifier dictionary is a two-tiered classification schema with consistent naming convention. Each schema consists of noun/class and modifier/sub-class with associated characteristics that describes the general part attributes. Base unit of measure (uom)several standard units of measure were considered in establishing the standard uom list. The standard uom

Softnis is a registered ecl@ss member!the success of business organizations essentially depends on the quality of its product data. We at softnis have been working on ecl@ss classification with properties and values for over years, growing with expertise skills while applying the ecl@ss hierarchy structure with the differences and additions in the updated versions. Our ecl@ss experience in the recent past spans across ecl@ss 8.0, 8.1, 9.0, 9.1, 10.0.1, 10.1 and 11.0 versions. Today our wide-ranging knowledge and skills in dealing with ecl@ss has expanded significantly in providing quality data classification and values gathering services for different product ranges that apply to different verticals, domains and industry sectors including mro, healthcare, chemical, automotive, electrical and electronics and more. Ecl@ss classification in your mother tongue!presently, we have extended ecl@ss to german, french, english, turkish, chinese, spanish, czech, portuguese languages. To facilitate this, we have a couple of intuitively designed translation tools that have been very helpful to achieve accuracy in data translations. We consider it as a big advantage to have a niche presence in the ecl@ss data and product classification arena. Competency and know-howour subject matter experts (smes), are well-versed in the ecl@ss categorization and classification. They come with wide-ranging experience that was gathered when working on many ecl@ss projects that ran on older versions. We have smes specific to mro, healthcare, pharmaceuticals, laboratory supply products, and electrical and electronics sectors. Version upgradeas the unspsc classification system is ever-changing and newer versions are introduced by the governing body. In the course of the project undertaking, if there are any newer versions introduced, or upgrades to the existing versions, we ensure to extend our support for the same.

We have been working on the UNSPSC-determined classification and taxonomy method for many years now. Over time we have learnt and adapted the many different facets and aspects of the UNSPSC-way of classification and our team members are trained and specialized in the same. Our consolidated UNSPSC experience has been captured in these salient points Data Confidentiality We adhere to, and have incorporated the latest data security measures and policies. And we can vouch for a fact that our clients data is safe and secure with us. Better Accuracy Our customized and tailored approach has conformed to the best-suited classification processes uniquely for every customer requisites, data and product types individually with consistency and accuracy in data. Commodity Classification By in-depth understanding of the product type / class and by referring sourced data and input description, we ensure that the product is classified as per its exactly available category at the Commodity. Product Sourcing Products are sourced from respective Manufacturers/Suppliers website or catalogues, to make sure that products are identified appropriately. The objective of sourcing is to ensure that the product identification and subsequent classification process is carried out suitably.By sourcing, we have classified more than 95% of large volumes of product data with maximum classification accuracy. Repository of over 10M productsOur UNSPSC experience spans across 10 million products that we have classified, categorized while maintaining an over 10M repository for anytime reference. Tools In order to aid, streamline and improve our classification process, we have developed and adapted a couple of in-house auto classification tools to simplify the process of classification. Multiple domains and verticals Our experience in UNSPSC classification and taxonomy spans across many different industry types, domains and verticals.

Spend Management Solutions SoftNis has outshined among the procurement spend management service industry by delivering high-performance results for a huge client base. We collect, analyze and report data ensuring that all the standards are complied with to provide for zero grounds for any data misuse or misrepresentation. We serve clients with following services:1. Supplier list standardization and classification using UNSPSC. 2. Cleansing, classification and standardization of all sorts of expenditure data.3. Yearly, half yearly and quarterly data analysis. SoftNis, one of the Leading Spend Management Company provide you with efficient and affordable services for spend data transformation and provide a reliable source among the industry leaders.

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 from peripheral resources, like the manufacturers website, data sheets, and indexes, catalogues and other relevant documents.

Product data deduplication has been a crux work area at softnis. We identify and remove redundant products based on similar manufacturers name and part numbers or may be different manufacturers with similar functionality. Data deduplication solutionsproduct data deduplication is a process which is conducted before and after cleansing the product description. In some cases duplicates may be identified without cleansing the items description and in other cases it is necessary to cleanse the items description before identifying duplicate entries.

We at softnis, extensively worked on epicor prophet 21 erp system, like cleansing/customization of the manufactures raw input data to distributors specific p21 upload format, creating/managing the product categorization, opportunity manager, task manager, users and import/exporting the product information file(spreadsheet) and more epicor prophet 21 is a wholesale distribution erp solution, formerly known as activant prophet 21, utilizes a windows-based platform and sql server database. This technology gives prophet 21 the familiarity of other windows programs and shortens the learning curve for new users. The openness of the sql server database enables you to quickly adapt to changes in the marketplace and maintain your competitive advantage. Our epicor prophet 21 data management and service offerings: cleansing/customizing the manufactures raw input data into distributors specific p21 upload format, like, identifying noun modifier (product), attribute extraction, image capture/resize/format.Description generation like, long, long 255 (chars) and short descriptions (using abbreviations), creating/managing the product categorization in p21 system, creating/managing the opportunity manager in p21 system, creating/managing the task manager in p21 system, creating/managing the users and group in p21 system, importing/exporting the product information file (spreadsheet) and more

Softnis has over 10 years of robust experience in providing mro material master data cleansing and classification services. Our data management services are success driven to match every customers specific business requirements, to enhance operational performance while maintaining regulatory compliance. Service levelsexisting part description: dp bal brg 6006 2z/c3 30mm, skf level 1: priority cleansingstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, and duplicate records identification. Example: bearing, ball, deep groove, 30mm, skf, 6006-2z/c3 level 2: standardize and validate existing informationstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, duplicate records identification, uom normalization, and standardize and validate existing part description. Example: bearing, ball, deep groove, 30 mm id, c3 clearance, skf, 6006-2z/c3 level 3: enrichmentstandardize manufacturer's name and part number, product identification by defining noun and modifier, classification, duplicate records identification, uom normalization, standardize and validate existing part description, and, enhance description with additional attribute information. Example: bearing, ball, deep groove, 30 mm id, 55 mm od, 13 mm wd, steel cage, double shielded, single row, c3 clearance, 8.3 kn static, 13.8 kn dynamic, 28000 rpm material data standards softniss standard noun modifier dictionary (smd)currently softnis has more than 4, 000 unique noun modifier combination in the dictionary. The noun modifier dictionary is a two-tiered classification schema with consistent naming convention. Each schema consists of noun/class and modifier/sub-class with associated characteristics that describes the general part attributes. Base unit of measure (uom)several standard units of measure were considered in establishing the standard uom list. The standard uom

Softnis is a registered ecl@ss member!the success of business organizations essentially depends on the quality of its product data. We at softnis have been working on ecl@ss classification with properties and values for over years, growing with expertise skills while applying the ecl@ss hierarchy structure with the differences and additions in the updated versions. Our ecl@ss experience in the recent past spans across ecl@ss 8.0, 8.1, 9.0, 9.1, 10.0.1, 10.1 and 11.0 versions. Today our wide-ranging knowledge and skills in dealing with ecl@ss has expanded significantly in providing quality data classification and values gathering services for different product ranges that apply to different verticals, domains and industry sectors including mro, healthcare, chemical, automotive, electrical and electronics and more. Ecl@ss classification in your mother tongue!presently, we have extended ecl@ss to german, french, english, turkish, chinese, spanish, czech, portuguese languages. To facilitate this, we have a couple of intuitively designed translation tools that have been very helpful to achieve accuracy in data translations. We consider it as a big advantage to have a niche presence in the ecl@ss data and product classification arena. Competency and know-howour subject matter experts (smes), are well-versed in the ecl@ss categorization and classification. They come with wide-ranging experience that was gathered when working on many ecl@ss projects that ran on older versions. We have smes specific to mro, healthcare, pharmaceuticals, laboratory supply products, and electrical and electronics sectors. Version upgradeas the unspsc classification system is ever-changing and newer versions are introduced by the governing body. In the course of the project undertaking, if there are any newer versions introduced, or upgrades to the existing versions, we ensure to extend our support for the same.

We have been working on the UNSPSC-determined classification and taxonomy method for many years now. Over time we have learnt and adapted the many different facets and aspects of the UNSPSC-way of classification and our team members are trained and specialized in the same. Our consolidated UNSPSC experience has been captured in these salient points Data Confidentiality We adhere to, and have incorporated the latest data security measures and policies. And we can vouch for a fact that our clients data is safe and secure with us. Better Accuracy Our customized and tailored approach has conformed to the best-suited classification processes uniquely for every customer requisites, data and product types individually with consistency and accuracy in data. Commodity Classification By in-depth understanding of the product type / class and by referring sourced data and input description, we ensure that the product is classified as per its exactly available category at the Commodity. Product Sourcing Products are sourced from respective Manufacturers/Suppliers website or catalogues, to make sure that products are identified appropriately. The objective of sourcing is to ensure that the product identification and subsequent classification process is carried out suitably.By sourcing, we have classified more than 95% of large volumes of product data with maximum classification accuracy. Repository of over 10M productsOur UNSPSC experience spans across 10 million products that we have classified, categorized while maintaining an over 10M repository for anytime reference. Tools In order to aid, streamline and improve our classification process, we have developed and adapted a couple of in-house auto classification tools to simplify the process of classification. Multiple domains and verticals Our experience in UNSPSC classification and taxonomy spans across many different industry types, domains and verticals.

Spend Management Solutions SoftNis has outshined among the procurement spend management service industry by delivering high-performance results for a huge client base. We collect, analyze and report data ensuring that all the standards are complied with to provide for zero grounds for any data misuse or misrepresentation. We serve clients with following services:1. Supplier list standardization and classification using UNSPSC. 2. Cleansing, classification and standardization of all sorts of expenditure data.3. Yearly, half yearly and quarterly data analysis. SoftNis, one of the Leading Spend Management Company provide you with efficient and affordable services for spend data transformation and provide a reliable source among the industry leaders.

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 from peripheral resources, like the manufacturers website, data sheets, and indexes, catalogues and other relevant documents.

Product data deduplication has been a crux work area at softnis. We identify and remove redundant products based on similar manufacturers name and part numbers or may be different manufacturers with similar functionality. Data deduplication solutionsproduct data deduplication is a process which is conducted before and after cleansing the product description. In some cases duplicates may be identified without cleansing the items description and in other cases it is necessary to cleanse the items description before identifying duplicate entries.