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hindukr/Sales-Analysis-main

Sales-Analysis-main is a Regional Sales Analytics Dashboard built using Python and Streamlit. It analyzes sales data using visualizations, forecasting, customer segmentation, and AI insights. The system supports CSV/Excel uploads, real-time analysis, sales prediction, and automated PDF report generation.

Jupyter Notebook GitHub ↗
★ 0
stars
75
AI関連スコア
50
個人開発度
0
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SUMMARY AI要約 by gpt-5-mini

Regional Sales Analytics is a Python + Streamlit dashboard for analyzing and forecasting regional sales. It’s intended for sales managers, analysts, and product or regional leads who need interactive, near real-time insight into performance. Key features: - Upload and process CSV/Excel sales data for immediate analysis. - Interactive visualizations (time series, regional and product breakdowns, filters). - Sales forecasting/prediction to project future revenue. - Customer segmentation (e.g., RFM or clustering) for targeting and cohort analysis. - AI-generated insights and commentary to highlight trends and anomalies. - Automated PDF report generation for sharing findings. Designed as a practical tool to explore historical sales, segment customers, predict outcomes, and produce shareable reports.

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🌐 Web/アプリフレームワーク (1)
Streamlit

使用言語(バイト数比)

Python
2.1%
Jupyter Notebook
97.9%

オーナー情報

アカウント
hindukr
タイプ
User
フォロワー
0

日付

GitHub作成日 2026-05-14
最終Push 2026-05-14
当サイト初検出 2026-05-14
最終取得 2026-05-15 16:13

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