![[The AI Show Episode 142]: ChatGPT’s New Image Generator, Studio Ghibli Craze and Backlash, Gemini 2.5, OpenAI Academy, 4o Updates, Vibe Marketing & xAI Acquires X](https://www.marketingaiinstitute.com/hubfs/ep%20142%20cover.png)
![[DEALS] The Premium Learn to Code Certification Bundle (97% off) & Other Deals Up To 98% Off – Offers End Soon!](https://www.javacodegeeks.com/wp-content/uploads/2012/12/jcg-logo.jpg){kind=logo}
![From drop-out to software architect with Jason Lengstorf [Podcast #167]](https://cdn.hashnode.com/res/hashnode/image/upload/v1743796461357/f3d19cd7-e6f5-4d7c-8bfc-eb974bc8da68.png?#)
.png?#)
_Christophe_Coat_Alamy.jpg?#)
 (1).webp?#)
![Apple Considers Delaying Smart Home Hub Until 2026 [Gurman]](https://www.iclarified.com/images/news/96946/96946/96946-640.jpg)
![iPhone 17 Pro Won't Feature Two-Toned Back [Gurman]](https://www.iclarified.com/images/news/96944/96944/96944-640.jpg)
![Tariffs Threaten Apple's $999 iPhone Price Point in the U.S. [Gurman]](https://www.iclarified.com/images/news/96943/96943/96943-640.jpg)
An Inventory Management app
This is a submission for the KendoReact Free Components Challenge. What I Built The project is a React-based Inventory Management Application that leverages KendoReact components to create a dynamic, user-friendly, and feature-rich interface. The app is designed to help businesses manage their inventory efficiently by providing tools for tracking stock levels, managing suppliers, and analyzing sales trends. It also incorporates AI-powered stock predictions and gamification elements to enhance user engagement and decision-making. Demo https://hospital-management-app-mu.vercel.app/ https://github.com/Adonai-Technologies/inventory-management-app.git KendoReact Experience How I Leveraged KendoReact Free Components I used KendoReact Free Components to build a feature-rich inventory management app: Grid: Displayed inventory/supplier data with sorting, filtering, and pagination. Drawer: Created a collapsible sidebar for navigation. Dialog: Handled forms for adding/editing items and suppliers. Buttons: Added interactive actions like adding items and exporting data. Inputs: Captured user input for forms and search. ProgressBar: Visualized stock levels with color-coded bars. Notification: Displayed low-stock warnings. DropDownList: Enabled filtering by category and supplier selection. Chart: Visualized sales trends with a line chart. Scheduler: Managed tasks like inventory checks. Editor: Added rich text descriptions for items. TreeView: Displayed hierarchical inventory categories. Upload: Enabled file uploads for inventory/supplier data. Loader: Showed loading states during data processing. AIm to Impress I used TensorFlow.js to add AI-powered stock predictions to the app: Model Training:Trained a linear regression model on historical stock data. Predictions: For each item, predicted future stock levels: Delightfully Designed UI Integration: Added a “Predict Stock” button to trigger predictions. Displayed predictions in the UI (e.g., in a notification or Grid column). Benefits: Proactively avoids stockouts or overstocking. Provides data-driven insights for better inventory management.
This is a submission for the KendoReact Free Components Challenge.
What I Built
The project is a React-based Inventory Management Application that leverages KendoReact components to create a dynamic, user-friendly, and feature-rich interface. The app is designed to help businesses manage their inventory efficiently by providing tools for tracking stock levels, managing suppliers, and analyzing sales trends. It also incorporates AI-powered stock predictions and gamification elements to enhance user engagement and decision-making.
Demo
https://hospital-management-app-mu.vercel.app/
https://github.com/Adonai-Technologies/inventory-management-app.git
KendoReact Experience
How I Leveraged KendoReact Free Components
I used KendoReact Free Components to build a feature-rich inventory management app:
Grid: Displayed inventory/supplier data with sorting, filtering, and pagination.
Drawer: Created a collapsible sidebar for navigation.
Dialog: Handled forms for adding/editing items and suppliers.
Buttons: Added interactive actions like adding items and exporting data.
Inputs: Captured user input for forms and search.
ProgressBar: Visualized stock levels with color-coded bars.
Notification: Displayed low-stock warnings.
DropDownList: Enabled filtering by category and supplier selection.
Chart: Visualized sales trends with a line chart.
Scheduler: Managed tasks like inventory checks.
Editor: Added rich text descriptions for items.
TreeView: Displayed hierarchical inventory categories.
Upload: Enabled file uploads for inventory/supplier data.
Loader: Showed loading states during data processing.
AIm to Impress
I used TensorFlow.js to add AI-powered stock predictions to the app:
Model Training:Trained a linear regression model on historical stock data.
Predictions:
For each item, predicted future stock levels:
Delightfully Designed
UI Integration:
Added a “Predict Stock” button to trigger predictions.
Displayed predictions in the UI (e.g., in a notification or Grid column).
Benefits:
Proactively avoids stockouts or overstocking.
Provides data-driven insights for better inventory management.
