Preparing a Fundraising for a Restaurant: The Operational Guide
Generate a fundraising plan tailored to B2B investors, with sector-specific KPIs and standard structuring.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an expert in restaurant financing. A client (restaurant name: [RESTAURANT_NAME], concept: [CONCEPT], city: [CITY]) wants to raise [AMOUNT] euros for [FUNDRAISING_OBJECTIVE] (e.g., opening, renovation, development).
Generate a structured plan for a fundraising round targeting B2B investors (business angels, funds, banks). Mandatory inclusions:
- Executive summary (3-4 lines): concept, unique selling proposition (e.g., cuisine [CUISINE_TYPE], local sourcing, digital service).
- Market analysis: size of the restaurant market in [CITY], trends (delivery, dark kitchen), direct competition (3 key competitors), and competitive advantage.
- Business model: revenue streams (on-site sales, delivery, private events, subscription), target margins (target food cost: [FOOD_COST]%, max rent 15% of revenue, target staffing ratio: [STAFF_RATIO]% of revenue).
- Financial forecasts: 3-year table (revenue, EBITDA, cash flow), detailed funding needs, break-even point (number of covers/day or monthly revenue).
- Operational plan: pre-opening phases (permits, recruitment, menu testing), regulatory constraints (hygiene, liquor license if alcohol).
- Risks and mitigation: seasonality, staff turnover, dependency on online reviews.
Use realistic data for [CITY] (e.g., average ticket [AVERAGE_TICKET]€, occupancy rate [AVERAGE_TICKET] covers/day, sector net margin 10-15%). End with a paragraph on investor evaluation criteria (EBITDA multiples, ROE > 20%). Annotate sections with [DATA_TO_RESEARCH] for points requiring field info.
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Why this prompt works
<p>This prompt is designed to create a <strong>fundraising business plan</strong> specific to the restaurant industry. It guides the AI to produce a professional, data-driven document aligned with investor expectations.</p><p>To use it, replace the variables in brackets with your restaurant's actual data, like <strong>[RESTAURANT_NAME]</strong>, <strong>[CONCEPT]</strong>, and <strong>[CITY]</strong>. Financial variables like <strong>[AMOUNT]</strong>, <strong>[FOOD_COST]</strong>, or <strong>[AVERAGE_TICKET]</strong> must be estimated based on market research.</p><p>The result is a structured document in 6 sections, including market analyses, financial forecasts, and risk assessment. Use it as a <strong>framework for your funding file</strong>, adapting the figures and completing sections marked <strong>[DATA_TO_RESEARCH]</strong>.</p>
Use Cases
Expected Output
A structured document in 6 parts (executive summary, market analysis, business model, financial forecasts, operational plan, risks) with specific data for the restaurant and its city.
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