Ask questions to get data-driven retail insights
Load and analyze CSV data using Pandas
Analyze CSV data and generate reports
Generate game analytics reports from CSV data
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
simplest rag with csv
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Fast and easy data exploration tool
Analyze CSV data with questions
Analyze CSV files with queries
Conversational AI agent built for Retail Domain
Need to analyze data? Let a Llama-3.1 agent do it for you!
Browse and analyze logs for insights
Retail Copilo Streamlit is an AI-powered tool designed to convert CSV data into actionable insights for retail businesses. It allows users to ask questions and receive data-driven retail insights, making it an essential application for retail analytics. Built on the Streamlit framework, it provides an interactive and user-friendly interface to simplify data analysis.
• AI-Powered Insights: Leverage AI to generate actionable insights from retail data.
• CSV Data Conversion: Easily upload and process CSV files for analysis.
• Interactive UI: Streamlit's intuitive interface makes it easy to explore and visualize data.
• Natural Language Queries: Ask questions in plain language to get relevant insights.
• Support for Multiple Data Formats: Handle various datasets commonly used in retail analytics.
• Customizable Visualizations: Tailor your insights with flexible visualization options.
streamlit run.What data formats does Retail Copilo Streamlit support?
Retail Copilo Streamlit supports CSV files and other common formats used in retail analytics.
Can I customize the visualizations?
Yes, the tool offers customizable visualization options to suit your needs.
What kinds of insights can I expect?
You can expect insights related to sales trends, inventory management, customer behavior, and more, based on your data.