Sanjeevika: AI-Powered Smart Inventory and Activity Management Platform

Sanjeevika is a comprehensive inventory and activity management platform for sellers and admins, featuring a Four-Vault Architecture and AI-powered automation. Key capabilities include voice input, visual recognition, real-time telemetry, and intelligent prediction, aimed at optimizing inventory management and multi-day event operations. It balances practicality with modern UI design (glassmorphic style) and uses a tech stack of React, FastAPI, etc.

In retail and e-commerce, inventory management is critical for efficiency and profitability. Traditional systems are passive, lacking intelligent prediction and decision support. Sanjeevika addresses this gap by integrating AI and modern data analysis to automate inventory monitoring and optimize supply chain operations. Its name implies vitality and continuous operation, reflecting its goal to enable data-driven decisions and avoid stock issues.

Sanjeevika's key innovation is the Four-Vault Architecture:

• Main Vault: Central ledger for global inventory (stock, prices, restock records), with dynamic threshold alerts and role-based access.
• Event Vault: Isolated inventory for multi-day events (e.g., promotions, exhibitions), allowing easy transfer from/to Main Vault.
• Agent Vault: Simplified interface for frontline sales staff (authorized product views, sales recording, contribution history).
• System Vault: AI engine for data extrapolation, model storage, and insight generation.

Sanjeevika's AI features solve real operational pain points:

• Voice & Visual AI: Supports voice input parsing and camera-based barcode/object recognition for fast POS/packaging operations.
• Real-Time Telemetry: Provides fine-grained metrics (online vs cash sales, total operations, number of product exchanges).
• Intelligent Prediction: Analyzes trends to forecast demand, helping adjust inventory to prevent stockouts or overstock.
• Activity Grid View: Visualizes event progress (sales volume, total amount, staff contributions) for quick decision-making.

Sanjeevika uses a modern, scalable tech stack: Frontend: React + Vite (TypeScript), TailwindCSS (glassmorphic dark UI), Radix/shadcn-ui components, Lucide icons, React Router. Backend: FastAPI (Python, async high-performance), SQLite via SQLModel (ORM), JWT-like authentication, .venv for dependency management. FastAPI's async nature handles real-time data well, while SQLModel adds type safety to DB operations.

Deployment steps are straightforward: Backend: 1. Enter Backend directory → create/activate Python venv → install requirements → run with Uvicorn. Frontend:1. Enter Frontend directory → install Node dependencies → start dev server. Note: .gitignore excludes node_modules, .venv, test files, backend_debug.log, and SQLite records (except for specific test states).

Sanjeevika is ideal for:

1. Multi-location retailers needing cross-store inventory allocation.
2. Event-based sellers (exhibitions, pop-ups) managing event-specific inventory.
3. Omnichannel businesses (online + offline) needing unified inventory views.
4. Teams aiming to reduce manual errors and boost efficiency via AI/automation. Its value lies in transforming passive inventory recording into proactive prediction and optimization.

Sanjeevika represents the evolution of inventory systems toward intelligence and automation. Its Four-Vault Architecture meets complex business needs while maintaining usability. AI features (voice/vision) solve real-world operational issues. For retailers undergoing digital transformation, it offers a complete, modern, easy-to-deploy solution to enhance competitiveness.