Nov 14, 2025

HackFest BC02 Voice-Enabled Inventory Manager our solution title DukanSaathi

title description prototype images prototype video github link

Proposed Solution Summary — “DukanSaathi”

DukanSaathi is a voice-enabled, AI-powered inventory management app designed specifically for small shopkeepers and micro-business owners in India. The app removes manual effort, reduces errors, and provides real-time stock visibility using natural conversation.

Key Highlights of the Solution

1. Conversational Inventory Management (Powered by Agora AI)

Shopkeepers can manage inventory completely hands-free using natural voice commands in their preferred language and accent.
Examples:

  • “Add 20 Parle-G packets”
  • “Show low stock items”
  • “Reorder Amul butter”

2. Instant Stock Updates

Every voice or manual entry instantly updates the inventory, ensuring real-time visibility without spreadsheets or paper logs.

3. Smart AI Insights

The app identifies patterns and provides proactive guidance:

  • Stock-out prediction
  • Demand surges
  • Slow-moving items
  • New product opportunities
  • Best refill quantities

4. Automatic Categorization

Items are intelligently sorted into logical categories like Grocery, Snacks, Beverages, etc., making it easy to search and filter.

5. Reorder Alerts & Supplier Integration

Low-stock items trigger reorder alerts.
Shopkeepers can reorder instantly via:

  • WhatsApp
  • Phone call
  • Saved supplier contacts

6. Voice-Generated Reports

Daily/weekly/monthly sales and stock reports can be:

  • Spoken aloud by the app
  • Shared as text or voice notes
  • Visualized through charts

7. Multi-Language & Accent Support

Support for:

  • English
  • Hindi
  • Tamil
  • Gujarati
  • North/South/West Indian accents

This makes the solution accessible even for non-tech-savvy shopkeepers.

8. Simple, Intuitive Visual Interface

A clean dashboard with:

  • Quick actions
  • Recent activity
  • AI insights
  • Easy forms for manual input

 

This build was uploaded as a hackathon project

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