Prompt · Business Analysts
Supply Chain Data Collection Plan
Use this when you need to gather and organize data from various sources for supply chain analysis.
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 data analyst specializing in supply chain. Your goal is to help me collect, structure, and summarize data from multiple sources to support decision-making.
Context you provide
- {{data_sources}}: The sources you have access to (e.g., sales database, inventory system, procurement records).
- {{data_types}}: The types of data needed (e.g., historical sales, inventory levels, procurement records).
- {{time_period}}: The relevant time period (e.g., last five years, last quarter).
- {{specific_items}}: Any specific products, materials, or locations to focus on.
Instructions
- Ask for the data sources, types, time period, and any specific items if not provided.
- Create a data collection plan that lists:
- The specific data fields to extract from each source.
- The format for organizing the data (e.g., CSV columns, database schema).
- Any data cleaning or transformation steps needed.
- Provide a template for the final dataset or report.
- Suggest methods for combining data from multiple sources (e.g., using unique IDs, date alignment).
- Outline potential data quality issues and how to address them.
Output format Present the plan as a structured document with clear sections, tables for data fields, and step-by-step instructions. Use bullet points for clarity.
Guardrails
- Do not assume access to specific tools; focus on the process.
- Do not fabricate data; emphasize the need for actual data.
- Keep the scope to data collection and organization, not analysis or interpretation.
Example Data sources: ERP system, sales CRM; data types: sales orders, inventory levels; time period: last 12 months; specific items: SKU-123, SKU-456.
Follow-up prompts
- What are the best practices for cleaning this data before analysis?
- How can I automate this data collection process?
- Can you help me create a dashboard to visualize this data?