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Business Intelligence AI · 2026

RetailAI — Analytics Assistant

A natural-language analytics assistant that lets retail teams query business insights without SQL or BI tools.

  • Python
  • FastAPI
  • OpenAI
  • React
  • SQL
  • REST APIs
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Project overview

An analytics assistant for retail operations and decision-makers: non-technical users get sales, inventory and trend insights through conversation, with automatic visualisations.

  • Natural languageAnalytics queries
  • Charts + DashboardsVisualisation support
  • Sales + InventoryBusiness domains
  • SignificantDecision speed improvement
AI features

What it does.

  1. 01Natural-language BI queries
  2. 02AI-generated retail visualisations
  3. 03Inventory and sales trend analysis
  4. 04Automated retail insights
Product screens

The product, as built.

Real screenshots from the project. Select any image to enlarge it.

Technology stack

How the stack fits together.

The technologies actually used in the project, grouped by their layer in the system.

  1. Experience & channels

    • React

  2. Backend & orchestration

    • Python
    • FastAPI
    • REST APIs

  3. AI & reasoning

    • OpenAI

  4. Data & knowledge

    • SQL
Impact

What it changed.

Key outcomes

  • Improved accessibility of retail analytics for non-technical users.
  • Reduced dependency on BI and SQL expertise.
  • Accelerated operational decision-making through conversational AI.
  • Enhanced retail visibility through automated insights and dashboards.

Engineering challenges solved

  • Mapping natural language to structured analytics queries
  • Generating meaningful visualisations dynamically
  • Handling large retail datasets efficiently
  • Designing intuitive conversational analytics experiences

What could come next

  • Predictive inventory forecasting
  • AI-generated executive reports
  • Voice-based retail analytics assistant
  • Advanced anomaly detection pipelines
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