After-Sales Check-In — AI workflow for Malaysian SMEs
After-Sales Check-In turns purchase details into post-purchase message. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for After-Sales Check-In
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 post-purchase message. Input from my side: purchase details. This is after-sales check-in for malaysian SMEs that sell, support or follow up heavily through messaging, so keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “purchase details” 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
Study the purchase details I provide and analyse the after-sales check-in picture. Surface the top five insights, with numbers where the data supports them. Spell out the business impact. Deliver post-purchase message. End on the three highest-impact actions for repeat purchase rate.
Replace “purchase details” 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
The task: make my after-sales check-in better. You get purchase details and the version running today. Spot what is weak, what is unnecessary, and what is unclear. Rebuild it into a stronger post-purchase message. For every change, state the issue, the fix, and the expected impact on repeat purchase rate.
Replace “purchase details” 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 after-sales check-in. Input trigger: purchase details. Final output: post-purchase message. Tools available: WhatsApp Business, CRM, commerce platform, help desk. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and repeat purchase rate measurement. Nothing a small SME cannot run on its own.
Replace “purchase details” 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
- Purchase details
- You get back
- Post-purchase message
- Moves
- Repeat purchase rate
- Run it
- Daily
- Priority
- P0
- Works with
- WhatsApp Business, CRM, commerce platform, help desk
- Tool guides
- WhatsApp Business
Is this for you?
- Pick it for
- Malaysian SMEs that sell, support or follow up heavily through messaging. 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 growth. Watch one number: repeat purchase 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: purchase details.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “purchase details” 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 repeat purchase 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.
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- MCMC
- Bulk and unsolicited commercial messaging is regulated. WhatsApp's own business policy applies on top, and it is the one that gets your number blocked.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
This workflow involves customer phone numbers and message threads. Under the PDPA your business stays responsible for it, and pasting it into an AI tool may be a disclosure to a third party. Replace names and numbers with initials or references first — the prompt works just as well on “Customer A”.
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.
Related workflows
- Abandoned Conversation RecoveryTurns inactive conversation into recovery message.
- Lead Qualification ChatTurns customer interest and context into qualification conversation.
- New Enquiry ReplyTurns customer message into fast helpful reply.
- Quotation Follow-UpTurns quote details and age into follow-up message.
All whatsapp & conversational commerce workflows: WhatsApp & Conversational Commerce
Maintained by Naven Pillai