REF: Readdly-2026-111 Trainee Smart retail insights platform: Real-Time analytics for small businesses PFE

Project overview:

• Develop a modern web analytics platform to help small and medium retail businesses analyze sales, customer behavior, and operational performance in real time.
• Aim to bring enterprise-level Business Intelligence to local retailers that currently lack decision-support tools.

Scope & responsibilities:

• Implement real-time analytics for revenue, best-selling products, conversion rates, and customer metrics.
• Build data import pipelines from POS systems, CSV/Excel exports, Google Sheets and manual entry interfaces; support PDF & Excel report exports for managers.
• Integrate AI-assisted insights including trend forecasting and anomaly detection (sales drops/spikes) and product performance alerts.

Technologies & tools:

• Frontend: Next.js, TailwindCSS, Recharts / ECharts for interactive dashboards.
• Backend & data: NestJS, Supabase (PostgreSQL) for storage; AI/forecasting using Prophet and scikit-learn.
• Deployment & infrastructure: Docker, Vercel / Render; version control with Git + GitHub.

Profile & requirements:

• Required profile: Full-Stack Developer (candidate level indicated: 22).
• Experience or strong interest in web applications, data ingestion, dashboards, and basic machine learning/forecasting techniques.

How to apply:

• Apply online or contact the team for this specific project using the company website or by email.
• Email: contact@readdlytech.com (use the subject line specified below when applying).