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One Sentence → Professional City Commercial Market Research Report

💬 From @wsvn53 · 2026-02-27 reply thread


🎯 Pain Point

City commercial research usually requires buying professional reports from firms like JLL, Cushman & Wakefield, and Winshang, manually consolidating multiple datasets, and then creating charts in Excel or Python. It is expensive, slow, and difficult to do well.


💡 What It Does

Say one sentence to Minis. It searches authoritative sources such as JLL, Savills, and Winshang, writes analysis scripts, generates multi-dimensional visual charts, and outputs a complete market report with trend curves, district comparisons, category breakdowns, and vacancy-rate distributions.

Example: analyzing retail vacancy rates in Chengdu over the past few years:

  • Key conclusion: vacancy rates peaked in Q4 2022
  • Chunxi Road / Taikoo Li core commercial areas stayed around 4–7.5% long-term
  • ⚠️ Divergence intensified: the gap between core and fringe commercial districts widened

🛠 Skills Used

Skill Purpose
Built-in browser_use Search industry data sources online
Built-in shell + Python Write analysis scripts and generate charts

💬 Example Prompt

Analyze the retail vacancy rate in Chengdu over the past few years.
Search JLL, Savills, Winshang, and other data sources online.
Generate trend charts and a commercial-district comparison report.

⚙️ Requirements

  • No extra configuration required; Minis has built-in browser search and Python charting capabilities

💡 Tips

  • Replace the city and metric, e.g. “Beijing office occupancy rate” or “Shanghai retail property rent trends.”
  • Generated charts can be exported as PNG files for sharing or embedding in reports.
  • Useful for real-estate investment analysis, commercial site selection, and industry research.

📸 Screenshots

Minis searches JLL/Winshang/Savills and runs analysis on Chengdu vacancy rates

Generated multi-chart report: vacancy rate trends, district comparison, retail category breakdown

📷 Shared by @wsvn53 · 2026-02-27


👤 Contributor

@wsvn53 · Original tweet


📅 Last Verified

2026-02-27