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Industrial2022Mobile Application Developer
iCATM Inventory Cataloging
I developed a mobile data capture application built to resolve inconsistent cataloging in enterprise inventory systems. The tool enforces a strict four-tier taxonomy at the point of entry to eliminate item duplication and unstructured free-form text.
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Challenge
Incomplete maintenance schedules and wasted warehouse stock frequently stem from bad inventory data caused by unguided free-form text entry. Data stewards in industrial environments require a field tool that enforces master data governance without requiring constant internet connectivity.
Solution
I built a mobile solution that enforces a four-tier classification system consisting of Categories, Nouns, Modifiers, and Attributes. Pre-loaded dictionaries guide users through dropdown selections and predefined properties, standardizing item descriptions before they are sent to the backend cloud or exported as CSV files.
Architecture
Mobile client with offline-first local database storage
Four-tier taxonomy engine for dynamic attribute form generation
Background synchronizer for MRO cloud server item management
CSV data parser and exporter for localized file sharing
Engineering challenges
Engineered dynamic UI forms that adapt based on selected Noun and Modifier pairs
Implemented local relational storage for standard master data dictionaries
Built CSV generation module to handle standardized item exports offline
Integrated multi-language string localization for international rollout
Technologies
React NativeAndroidSQLiteCSV
Services groups React Native, React, Node.js, and AI work. Contact Ammar about a similar project.
Outcome
Shipped an Android application that enables field teams to catalog spare parts and assets under standardized naming rules, directly addressing the core causes of duplicate inventory records.
