Delivery Complaint Analysis — AI workflow for Malaysian SMEs
Delivery Complaint Analysis turns complaints into root-cause themes. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Delivery Complaint Analysis
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me root-cause themes. Input from my side: complaints. This is delivery complaint analysis for distributors, delivery firms, field service teams and businesses with transport costs, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “complaints” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
I need analysis on delivery complaint analysis. You get complaints. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into root-cause themes. The last section: three concrete steps to move complaint rate.
Replace “complaints” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Review and upgrade my delivery complaint analysis. Input: complaints, plus what we currently produce. Tell me where it loses accuracy, clarity or conversion. Remove work that adds nothing. Hand back a better root-cause themes, with each improvement mapped as before-issue, change, expected complaint rate movement.
Replace “complaints” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Build me an automation design for delivery complaint analysis. Input trigger: complaints. Final output: root-cause themes. Tools available: TMS, GPS exports, order system, CRM, spreadsheets. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and complaint rate measurement. Nothing a small SME cannot run on its own.
Replace “complaints” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Complaints
- You get back
- Root-cause themes
- Moves
- Complaint rate
- Run it
- Daily
- Priority
- P4
- Works with
- TMS, GPS exports, order system, CRM, spreadsheets
- Tool guides
- Excel & Google Sheets
Is this for you?
- Pick it for
- Distributors, delivery firms, field service teams and businesses with transport costs. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at cost control. Watch one number: complaint rate.
- Reach for it when
- Most SMEs run it daily. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: complaints.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “complaints” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track complaint rate. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- TMS
- Any tool you already use is fine.
- GPS exports
- Any tool you already use is fine.
- order system
- Any tool you already use is fine.
- spreadsheets
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- APAD
- Carrying goods or passengers for payment needs an operator licence, and it is tied to specific vehicles and routes. Sabah and Sarawak have their own bodies.
- JPJ
- Using a vehicle commercially is not the same registration as using it privately, and inspection duties differ. Get the class wrong and your insurance follows the registration, not your intention.
- RMCD
- Cross the registration threshold and you must charge SST and file returns on time. Whether a service is taxable or exempt is decided here, and getting it wrong is expensive to unwind later.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
If you paste customer or staff details into an AI tool, your business stays responsible for them under the PDPA. Replace names and numbers with initials or references first.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
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- COD Reconciliation Daily RoutineTurns the day's COD collections and delivery records into a reconciliation routine with variances flagged.
- Customer Delivery Window Communication TemplatesTurns your delivery scenarios into delivery window templates in BM and English.
- Customs Documentation Checklist by Shipment TypeTurns your shipment types and destinations into customs documentation checklists per shipment type with items to verify.
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Maintained by Naven Pillai