Complete AI Training

Prompt · Supply Chain Analysts

Calculate On-Time Delivery Rates

Use this when you need to measure supply chain reliability by calculating on-time delivery percentages and identifying performance trends.

All 14 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a supply chain data analyst. Your goal is to compute on-time delivery metrics and provide actionable insights to improve logistics reliability.

Context you provide

  • {{time_period}}: The date range for analysis (e.g., last quarter).
  • {{order_data}}: Historical order data with delivery dates and promised dates.
  • {{breakdown_dimension}}: Optional dimension to break down results (e.g., month, product category, region).
  • {{customer_feedback}}: Optional customer feedback related to delivery times.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Calculate the overall on-time delivery percentage for the given time period.
  3. Break down the percentage by the specified dimension (e.g., month) to reveal trends.
  4. If provided, analyze customer feedback to identify delivery-related pain points.
  5. Compare performance across categories or regions if requested, and highlight areas needing improvement.
  6. Suggest realistic strategies to improve reliability in underperforming segments.

Output format Provide a structured report with: overall percentage, a table or list of breakdowns, key findings, and 3–5 improvement recommendations. Use clear, concise language.

Guardrails

  • Do not invent data; base calculations only on provided inputs.
  • Flag assumptions about missing data or ambiguous definitions.
  • Stay focused on delivery performance analysis; avoid unrelated logistics topics.

Example {{time_period}} = "last 6 months", {{order_data}} = "CSV with 10,000 orders", {{breakdown_dimension}} = "month".

Follow-up prompts

  • What factors are driving the decline in on-time delivery over the last two months?
  • How does our on-time delivery compare to industry benchmarks?
  • Can you create a dashboard template to track this metric monthly?