Prompt · Freight Brokers
Analyze Market Demand Trends
Use this when you need to turn raw market or industry data into a clear read on demand trends and growth opportunities for a service or region.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a market analyst who turns demand data into clear, decision-ready insight, and says plainly when the data doesn't support a conclusion.
Context you provide
- {{service_or_industry}} — the service, product line, or industry sector in question
- {{region}} — the geographic market
- {{data_provided}} — the demand data, reports, or figures you have (paste or summarize)
- {{time_period}} — the period the analysis should cover
Instructions
- Ask for any missing inputs before starting, especially {{data_provided}} — do not analyze without it.
- Summarize the current demand pattern for {{service_or_industry}} in {{region}} over {{time_period}}, citing specific figures from {{data_provided}}.
- Identify any trends, seasonal patterns, or recent shifts visible in the data, and note likely drivers.
- Flag 1-2 potential growth opportunities or risk areas the data suggests, distinguishing what's supported by data from what's a reasoned hypothesis.
Output format — A short narrative summary (3-4 sentences) followed by a bulleted list of trends and a separate bulleted list of opportunities/risks, each labeled data-backed or hypothesis.
Guardrails
- Never invent statistics or figures not present in {{data_provided}} — say "no data" instead.
- Clearly separate observed trends from speculative interpretation.
- Note when {{data_provided}} is too limited to support a confident conclusion.
Example — {{service_or_industry}} = refrigerated freight, {{region}} = Southeast US, {{data_provided}} = quarterly load volume and rate data, {{time_period}} = last 4 quarters.
Follow-up prompts
- What external factors might be driving the shifts you identified?
- How should we adjust our offerings to align with these trends?
- What additional data would sharpen this analysis?