Bundle Recommendation — AI workflow for Malaysian SMEs
Bundle Recommendation turns purchase combinations into bundle ideas. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Bundle Recommendation
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
The task is bundle recommendation. Input: purchase combinations. Output I expect: bundle ideas. Make it work for online sellers on marketplaces, webstores and social commerce. Short sections only. Wrap up with one next action and a version ready to paste into the workflow.
Replace “purchase combinations” 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
Analyse bundle recommendation for me. Working from purchase combinations, list the five findings that matter, ranked by impact. Tie each to a business consequence. Then build bundle ideas. Sign off with three moves to push average order value up.
Replace “purchase combinations” 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 bundle recommendation better. You get purchase combinations and the version running today. Spot what is weak, what is unnecessary, and what is unclear. Rebuild it into a stronger bundle ideas. For every change, state the issue, the fix, and the expected impact on average order value.
Replace “purchase combinations” 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
Automate bundle recommendation for me. Trigger event: purchase combinations. Deliverable: bundle ideas. Stack: E-commerce platform, marketplace, CRM, inventory, analytics. Lay out the trigger, required inputs, AI step, decision rules, where humans sign off, fallback behaviour, what to log, and average order value tracking. A two-person Malaysian team must be able to keep this running.
Replace “purchase combinations” 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 combinations
- You get back
- Bundle ideas
- Moves
- Average order value
- Run it
- Daily/Weekly
- Priority
- P3
- Works with
- E-commerce platform, marketplace, CRM, inventory, analytics
Is this for you?
- Pick it for
- Online sellers on marketplaces, webstores and social commerce. 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: average order value.
- Reach for it when
- Most SMEs run it daily to weekly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: purchase combinations.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “purchase combinations” 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 average order value. 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.
- E-commerce platform
- Any tool you already use is fine.
- marketplace
- Any tool you already use is fine.
- inventory
- inFlow Inventory
- KatanaAimed at makers and light manufacturing.
- SortlyFree tier for a small catalogue.
- Zoho Inventory
- analytics
- Google Analytics
- UmamiPrivacy-first, self-hostable.
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- LHDN
- e-Invoice arrived in phases set by turnover. LHDN's published timeline puts Phase 4 at businesses up to RM5 million from 1 January 2026, and exempts those under RM1,000,000 a year. Check which phase you are in before you change how you invoice. Read from LHDN in August 2026; confirm it is still current.
- 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.
- 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 buyer names, addresses and order history. 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
- Affiliate Creator Outreach and Brief PackTurns your products and commission budget into an outreach and brief pack for creators.
- Bundle Deal and Add-On Setup StrategyTurns your product range and margins into bundle and add-on setups with margins.
- Bundle Offer Design for Live ExclusiveTurns your products and margins into live-exclusive bundle designs.
- Campaign Registration Decision FrameworkTurns the campaign mechanics and your margins into a registration decision framework.
All e-commerce operations workflows: E-commerce Operations
Maintained by Naven Pillai