Removes redundant items from records, reducing rework, operational errors, and inconsistencies across procurement, warehousing, and billing.
Maps, evaluates, and cross-references product data to identify flaws, inconsistencies, or errors that compromise procurement performance.
Applies technical, tax, and commercial criteria to describe items clearly, uniformly, and objectively, facilitating queries and analysis.
Adds relevant and mandatory data to missing fields, making items more complete, descriptive, and easy to identify.
Classifies and organizes all products in a structured manner, using market-recognized hierarchies and taxonomies.
Identifies and applies the correct HS Code (NCM) based on tax regulations and Siscomex, ensuring tax compliance and import efficiency.
This is the initial stage where our state-of-the-art AI corrects and updates every item in your records in record time. The result is a clean, standardized database ready to deliver immediate procurement savings.
We take over governance through continuous monitoring that preserves all applied improvements. This ensures your records remain healthy and your procurement team always operates at peak performance.
Sania is an intelligent item master data cleansing solution developed with cutting-edge artificial intelligence technology. It automatically organizes, corrects, and standardizes your database, making procurement processes safer, faster, and more strategic.
Sania carries out cleansing in 7 stages: it eliminates duplicates, analyzes items, standardizes and enriches descriptions, corrects units of measure, categorizes products, and accurately applies the HS Code (NCM).
With clean and structured records, procurement prevents rework, reduces operating costs, enhances decision-making, and ensures tax compliance. Additionally, it streamlines system integration and strengthens supplier relationships.
Companies with high item volumes, such as MRO sectors, tail spend (Curve C), and operations involving multiple suppliers or branches, achieve significant gains. Importers also benefit from automated standardization in compliance with tax and customs regulations.
Sania automatically assigns the HS Code (NCM) and performs tax standardization based on official Siscomex data, ensuring legal compliance and avoiding fines or cargo holds.
No. Sania's artificial intelligence operates completely automatically, with minimal need for human intervention. This accelerates the process and eliminates manual errors.
Sania's AI learns from data, identifies hidden patterns, and corrects flaws proactively. This technology makes it possible to reduce overall cleansing time by up to 50%, with far greater accuracy than manual processes.
Data cleansing is the initial step, where data is corrected and organized. Governance, on the other hand, is the continuous maintenance of these improvements, ensuring that records remain clean, standardized, and free of new errors over time.
SANIA uses artificial intelligence to identify duplicates and inconsistencies, standardize descriptions, enrich data, organize categories, and support the tax classification of items. Validation is required when information is missing to correctly identify a material, when technical questions arise, or when a change depends on company business rules. Review and approval responsibilities are defined at the start of the project, including exception handling and the validation of tax classifications.
The starting point is the current material database, containing available item codes, descriptions, and units of measure. Information such as manufacturer, product part number/reference, technical specifications, category, and previously registered NCM codes help make the analysis more accurate. It is also important to share data registration standards and ERP requirements. During the initial assessment, available information and any needs for data enrichment are identified.
MDM (Master Data Management) Master Data Governance is a set of practices and processes aimed at managing data efficiently. This governance encompasses the creation, maintenance, and protection of master data, enabling the organization to maintain accurate and up-to-date records, which are essential for daily operations and strategic decision-making.
Standardizing item registration can bring significant financial benefits to companies, especially regarding cost reduction. When a company adopts standardization in item registration, it gains a clearer and more structured view of its spend, thereby enabling the identification of savings opportunities and the reduction of unnecessary expenses.
Effective registration cleansing is of paramount importance to an organization's strategy.
Initially, understanding and analyzing the supply chain with the goal of conducting material cleansing is not a simple task.
To achieve this, supply chain data is analyzed to categorize items by area (e.g., maintenance, office, furniture, etc.). Next, a search is simultaneously conducted for duplicate materials or those with insufficient information, and cleansing is performed if data is lacking or if the item does not comply with the MDS (Material Description Standard).
