BazaarBrain - AI Powered Sales and commerce assistant- Week 2 Dev Challenge

Description and use

BazaarBrain consolidates commerce management and AI‑powered content creation for local retailers, enabling consistent branding and efficient workflows without reliance on paid AI APIs.

Problem

Small retailers manage products, inventory, customer info, and orders across notebooks, spreadsheets, and disconnected apps, making content creation and consistent branding time‑consuming.

Outcome

BazaarBrain unifies commerce management and AI‑powered content creation for local retailers, enabling consistent branding and efficient workflows without reliance on paid AI APIs.

Workflow

• 1. Add/edit/delete products via form with SKU validation.
• 2. Manage inventory stock levels through dedicated interface.
• 3. Organize and track orders in order management module.
• 4. Manage customer relationships in customer module.
• 5. Use AI Studio to generate product descriptions, SEO metadata, WhatsApp promotions, Instagram captions, and FAQs in English, Hindi, and Hinglish.
• 6. Store brand information in Brand Memory to maintain consistent voice.
• 7. Organize marketing workflows and automation ideas in Marketing & Automation section.
• 8. Run AI inference locally using Ollama with Qwen3 4B or Llama 3.2 3B models, avoiding paid APIs.

Evidence

BazaarBrain is an AI-powered sales and commerce assistant designed to help local shop owners manage their business and create better marketing content — without needing any technical expertise.

Source

The platform includes: Dashboard & Analytics, Product Management, Inventory Management, Order Management, Customer Management, AI Studio, Brand Memory, Marketing & Automation, Local-First AI.

Source

Built with a React + TypeScript frontend (Vite) and an Express + TypeScript backend, with PostgreSQL and Prisma as the data layer.

Source

Ollama for local model inference; Qwen3 4B — primary content generation model; Llama 3.2 3B — lightweight fallback.

Source