AI agents for Singapore retail and F&B businesses

The counter never stops — and neither does the phone

The economics of a Singapore shopfront are unforgiving: rent is fixed, staffing is tight, and the same two people serve the walk-in queue, restock shelves, and answer the phone that never stops buzzing. The messages aren't unimportant — they're tomorrow's revenue — but every one answered mid-service is a customer at the counter waiting, and every one answered at midnight is an owner who never clocks off. Most of those messages are one of five questions, which is exactly the profile of work an agent handles well.

Retail: answers connected to your actual stock

The difference between a chatbot and a useful retail agent is the inventory connection. Grounded in your product data — through 75+ built-in integrations such as Shopify and Stripe, or a custom API — the agent answers "got stock?" with the real count, the current price, and a product photo, then suggests the related item a good salesperson would mention.

This isn't hypothetical. One motorcycle-parts retailer runs its WhatsApp front desk on live inventory: 10–15 enquiries a day answered around the clock with real-time prices, stock counts, and photos in the chat — plus a second, staff-facing agent that lets the team add products by photographing them, run low-stock checks, and capture customer details, all from a phone.

A real-time agent that answers with accurate inventory data, photos and suggestions, working 24/7 for us.

F&B: reservations, catering, and the same five questions

For cafés, restaurants, bakeries, and caterers, the front desk work is different in content but identical in shape:

• The standing five — opening hours, location and parking, menu and prices, dietary and ingredient questions — answered from your own documents, so the agent says what your menu says, not what the internet guesses.
• Reservations — the agent proposes available slots through Google Calendar and pencils the booking in, with your team confirming before it's final.
• Catering and bulk orders — the enquiries with real money attached and the most back-and-forth. The agent gathers pax, date, delivery or pickup, and dietary needs, drafts the quote from your price list, and queues it for approval.
• Escalation — complaints, allergies beyond the documented answers, anything unusual: handed to a person immediately, with the thread's context attached.

22:10

BK Bakery front desk online

Today

hi, do you do mini cakes for office events? need for this friday, about 30 pax

22:10

Hi! Yes we do. For 30 pax most offices take 2 mini-cake platters (48 pieces total) at S$96 per platter. Would you prefer pickup at the shop or delivery on Friday?

22:10

delivery to raffles place, before 3pm if can

22:11

Can do — delivery to Raffles Place is S$25, and we have 1:30pm and 2:15pm windows open this Friday. I'll pencil your order in now; a teammate confirms every catering order in the morning. Could I get your name and any dietary requirements for the 30 pax?

22:11

The back room: stock, suppliers, and the daily grind

The front desk is only half the story. Staff-facing agents take the repetitive layer behind the counter: low-stock checks on a schedule, reorder drafts prepared for supplier chats, new items added to the system by photographing them, and the day's enquiries summarised into the CRM. Anything that spends money — a supplier order, a refund — sits behind a per-category approval gate, so the agent prepares the action and a person releases it. Every action lands in an immutable audit trail.

Multilingual by default

A Singapore counter serves customers in English, Chinese, Malay, and more — often in the same hour. Agents converse in any of 12 supported languages from the same knowledge base, so "got stock?" and "有货吗?" get the same correct answer.

Where to start

The pattern that works for retail and F&B is the same as everywhere: start with the enquiry front desk — it's the workflow with the clearest before/after — and add the staff-side agent once the team trusts the first one. Deployment is approval-first from day one (the playbook is in automating enquiries with human approval), most single-workflow deployments are live within 1–2 business days of onboarding, and everything is quoted as a fixed proposal before we build. PDPA questions — customer data, retention, marketing messages — are covered in our PDPA guide.