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by warda_28
StockSense is a lightweight but powerful inventory management app designed for small business owners who need clarity over their stock without the complexity of enterprise software. You can add products with SKUs, categories, pricing, and custom low-stock thresholds, then record sales to automatically update quantities in real time. The dashboard gives you an instant health snapshot — total stock value, low stock warnings, and a recent activity feed — while a dedicated alerts tab flags anything running critically low. The standout feature is AI-powered natural language search: just type a question like "what will run out this week?" or "show me my lowest value items" and the AI analyzes your live inventory data and responds with specific, actionable insights. When it's time to report, you can export a formatted daily stock report as a PDF or a full inventory sheet as an Excel file in one click. All data is stored locally in the browser, with your API key saved securely in settings.
Spin up an isolated sandbox and run it server-side — no local setup.
The sandbox audition completed and the detected runnable path passed.
This React, React Native mobile app completed archive review. Structure, dependency manifests, documentation, functional source, and common risk patterns were checked by the Tetrees verification pipeline; runtime phases are stated separately. Final verified scores after isolated runtime evidence: overall 7.1 and security 9.
Deterministic AVCP artifact review
Pipeline avcp-2026-08-04.1 · SHA-256 ab12fe64e8898398…
This version-scoped review deterministically inspects the submitted archive for structure, dependencies, documentation, functional source, and common malicious or high-risk signals. Build and test phases are reported as passed only after an isolated sandbox audition. It is not a guarantee of perfect security.
Reviewed Aug 4, 2026
The full install guide and integration prompts unlock after purchase.
Push this product straight into your AI IDE, web builder or cloud IDE.
Download your licensed source snapshot from the library, then follow the setup guide in your workspace.
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