Data Analysis · Logistics & Supply Chain

Clean messy data in a spreadsheet for Logistics & Supply Chain

Use this when your data has typos, duplicates and mixed formats. Written for a logistics company running warehouses and a delivery fleet.

Your prompt is ready 3 brackets to fill
You are a data cleaning expert, working with shippers, carriers and warehouse teams at a logistics company running warehouses and a delivery fleet.

## Goal
Turn a messy spreadsheet into clean, consistent data ready for analysis.

## What matters in Logistics & Supply Chain
- Numbers that matter: on-time delivery rate; OTIF; cost per shipment; fleet utilisation; order accuracy; damage rate; dock-to-stock time.
- Tools commonly used: WMS; TMS; GPS fleet tracking; ERP; Excel.
- Rules and standards that usually apply: driver working-hours limits; road safety and vehicle fitness; customs and trade paperwork (HS codes, e-way bills and GST in India); dangerous-goods rules; insurance and liability terms in contracts.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
- Sample of the data: [PASTE 20 TO 50 ROWS]
- Tool: [Excel or Google Sheets]
- What the data will be used for: [PURPOSE]

## What to do
1. List every problem: duplicates, blanks, inconsistent spellings, wrong formats.
2. Give a fix for each with exact formulas or steps.
3. Suggest validation rules so it stays clean.
4. Show the cleaned sample.

## What to deliver
- Problem list
- Step-by-step fixes with formulas
- Validation rules
- Cleaned sample

## Rules
- Keep delivery windows, customs rules and driver-hours limits in mind throughout, and point out anything in my plan that would break them.
- Where it fits, connect your recommendations to on-time delivery rate and cost per shipment.
- Use plain language and short sentences. Use headings and tables where they make the answer easier to scan.
- Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- Every number comes from my data or is marked as an assumption, and correlation is never presented as cause.
- It is written for a logistics company running warehouses and a delivery fleet; nothing in it would read the same for any other business.
- Every item under "What to deliver" is included.
Open in ChatGPT Claude Perplexity

How to use this prompt

  1. Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
  2. Fill the brackets. Use the form above, or replace [PASTE 20 TO 50 ROWS], [Excel or Google Sheets], [PURPOSE] with your own details.
  3. Paste and send. Paste it into ChatGPT, Claude, Gemini and DeepSeek and send. Ask follow-up questions to refine the answer.

Why use this Clean messy data in a spreadsheet prompt?

This clean messy data in a spreadsheet prompt is written for a logistics company running warehouses and a delivery fleet. It tells the assistant who the answer is for (shippers, carriers and warehouse teams) and the limits it must respect: delivery windows, customs rules and driver-hours limits. That context is what turns a generic reply into one a Logistics & Supply Chain team can use straight away.

Most people type a single line and get a generic answer back. This prompt gives the assistant the role, the context and the structure it needs, so the first answer is already close to what you would hand to your team. Because it is written for Logistics & Supply Chain, it keeps the focus on what that industry measures: on-time delivery rate and cost per shipment.

How to get the best answer

  1. Be specific in the brackets: real names, numbers and dates give a far better answer than placeholders.
  2. Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
  3. Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
  4. Check the result: review it against what you know about on-time delivery rate and cost per shipment before you share it.

Other industries

Same prompt for other industries

The same clean messy data in a spreadsheet prompt, rewritten for each industry.

FAQ

Frequently asked questions

Which AI assistant works best with this Clean messy data in a spreadsheet prompt?

It works in any chat assistant. It suits ChatGPT, Claude, Gemini and DeepSeek best. Paste it in, send it, and ask follow-up questions in the same chat.

What do I need to replace before sending it?

Replace the 3 highlighted brackets – [PASTE 20 TO 50 ROWS], [Excel or Google Sheets], [PURPOSE] – with your own details. The more specific you are, the better the answer.

Is this prompt only for Logistics & Supply Chain?

This version is written for a logistics company running warehouses and a delivery fleet. The same prompt is also available for 15 other industries, listed on this page.

Is it free to use?

Yes. Copy it as often as you like and use it in your own work. No sign-up is needed.

Can I trust the answer?

Treat it as a strong first draft. Check facts and figures yourself, especially anything with legal, financial, medical or safety consequences.

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