May 9, 2025
|
4
min read

Managing textile inventory can be complex—with hundreds of fabric types, fluctuating stock levels, and supply chain delays. But with the power of AI, you can now simplify and automate this process. In this guide, we’ll walk you through building a textile inventory management platform enhanced by AI—helping you track materials in real time, forecast demand, identify low stock alerts, and manage suppliers more efficiently than ever before. Whether you run a small workshop or a large-scale warehouse, AI-driven tools can make your operations leaner, smarter, and more reliable.
TLDV
We'll be utlising Alpha to build this project by merely prompting about it.
Step-by-Step Tutorial to Create Your Mentorship Plaform with AI
Step 1: Sign up and Onboarding
The first step is simple. Visit dualite.dev for a free account and click on "Start Building". You will be notified via your registered mail regarding your access to the platform.

You can choose from the wide range of frameworks provided by Alpha. Since we are building a Mentorship platform, we will choose React + Tailwind framework.
Step 2: Describe your Project
We'll be using ChatGPT to describe and properly give a detailed prompt for a sharper outcome: Build a textile inventory management dashboard prompt for Alpha
The following prompt is what it generates for us to utilise:
Build a Textile Inventory Management Dashboard for a warehouse manager. Allow the ability to add new fabric as mentioned in the sidebar.
The dashboard should include the following sections:
Header Section:
App name on the top-left: TextiTrack
Profile avatar on the top-right with a dropdown for Settings, Notifications, Logout
Sidebar Navigation (left):
Dashboard (default active)
Inventory Overview
Add New Fabric
Suppliers
Reports
Settings
Main Dashboard (default view):
Key Metrics Cards (4 boxes in a row):
Total Fabric Types
In-Stock Rolls
Low Stock Alerts
Pending Orders
Fabric Inventory Table:
Columns: Fabric Name, Type (Cotton/Silk/etc.), Color, Quantity (Rolls), Warehouse Location, Last Updated
Include search bar and filter by type or low stock
Graph Section:
Simple bar or line chart showing Inventory Levels by Fabric Type (last 30 days)
Color Scheme:
Clean industrial UI with shades of white, soft gray, and indigo blue accents
Responsiveness:
Should adapt for desktop and tablet views
Wait till the magic happens, soon you’ll be directed to a preview of your generated app.

You can also check the deployed link at https://t-dashboard-joix-alphaproject.netlify.app/
Conclusion
Building a textile inventory management platform doesn’t have to be slow or complicated. With Alpha, your personal AI frontend developer, you can go from concept to working product in a fraction of the time. Whether it’s designing responsive dashboards, integrating real-time fabric API data, or generating reusable UI components, Alpha automates the entire frontend process—saving hours of manual work. Let AI handle the heavy lifting, so you can focus on scaling your textile business with confidence and clarity.