Monthly Best and Worst Seller Menu Review — AI workflow for Malaysian SMEs
Monthly Best and Worst Seller Menu Review works from the month's sales by item. You get a menu review with keep, fix, push and drop calls. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Monthly Best and Worst Seller Menu Review
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 a menu review with keep, fix, push and drop calls. Input from my side: the month's sales by item. This is a monthly best and worst seller menu review for cafés, restaurants, kopitiams and cloud kitchens run by small Malaysian teams. Keep it grounded and usable. Structure it in tight sections. Close with the single next action. Include a copy-ready version.
Replace “the month's sales by item” 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 a monthly best and worst seller menu review. You get the month's sales by item. Find the five findings worth acting on, rank them, and attach the likely business impact to each. Turn the result into a menu review with keep, fix, push and drop calls. The last section: three concrete steps to move menu profitability.
Replace “the month's sales by item” 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 monthly best and worst seller menu review. Input: the month's sales by item, plus what we currently produce. Tell me where it loses accuracy, clarity or margin. Remove work that adds nothing. Hand back a better a menu review with keep, fix, push and drop calls, with each improvement mapped as before-issue, change, expected menu profitability movement.
Replace “the month's sales by item” 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
Turn a monthly best and worst seller menu review into an automated workflow. It starts when the month's sales by item arrives. It must end with a menu review with keep, fix, push and drop calls. Available systems: POS, delivery platforms (GrabFood, foodpanda, ShopeeFood), supplier WhatsApp, Excel/Google Sheets. Map out: trigger, fields to capture, AI step, decision rules, where a human approves, what happens on failure, data to store, and menu profitability tracking. Keep the whole thing maintainable by a small team.
Replace “the month's sales by item” 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
- The month's sales by item
- You get back
- A menu review with keep, fix, push and drop calls
- Moves
- Menu profitability
- Run it
- Monthly
- Priority
- P2
- Works with
- POS, delivery platforms (GrabFood, foodpanda, ShopeeFood), supplier WhatsApp, Excel/Google Sheets
- Tool guides
- WhatsApp Business, Excel & Google Sheets, POS systems, Delivery platforms
Is this for you?
- Pick it for
- cafés, restaurants, kopitiams and cloud kitchens run by small Malaysian teams. 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: menu profitability.
- Reach for it when
- Most SMEs run it monthly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: the month's sales by item.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “the month's sales by item” 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 menu profitability. 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.
- delivery platforms (GrabFood
- Any tool you already use is fine.
- foodpanda
- Any tool you already use is fine.
- ShopeeFood)
- Any tool you already use is fine.
- supplier WhatsApp
- Any tool you already use is fine.
- Excel/Google Sheets
- Any tool you already use is fine.
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JAKIM
- Halal status depends on the whole supply chain, not just the recipe. Changing a supplier can affect it, and logo use is controlled.
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.
Related workflows
- Beverage Attachment Rate Improvement PlayTurns your current beverage attachment rate and menu into an improvement play with scripts, pairings and placement changes.
- Catering Enquiry Quotation Fast-DraftTurns the catering enquiry details into a quotation draft with per-pax pricing options.
- Central Kitchen Production Schedule DraftTurns outlet orders and your production capacity into a production schedule draft by day and batch.
- Combo and Set Meal Margin DesignTurns your item costs and target price points into combo and set designs with blended margins calculated.
All f&b operations workflows: F&B Operations
Maintained by Naven Pillai