Can a WhatsApp bot quote laundry prices?

Yes, from your price list: per item, per kg, per service, plus rush charges and pickup fees. It quotes exactly what you paste in and says it will check for anything that is not on the list.

What about stains and delicate fabrics?

The assistant takes the details and the photo, gives your general guidance if you wrote any, and passes the thread to a person. It never promises a stain will come out.

Can it schedule pickups?

It offers the pickup windows you keep in its notes, confirms one, collects the address, and logs the job to a Google Sheet for your driver.

Does it work on our shop number?

Yes. It pairs to the existing number by QR, like WhatsApp Web. Plans start at $19 a month with the AI included, and the 7-day trial needs no card.

WhatsApp for laundry and dry cleaning

Quick answer

A laundry assistant on WhatsApp quotes prices per item and per kilogram, turnaround and rush charges, pickup windows and areas, and opening hours, all from your price list. Pickup requests become Google Sheet rows with address, window and items, so the driver runs a route instead of a chat backlog. Stains, damage claims and bulk contracts go to a person.

Prices and turnaround are quoted exactly as pasted; anything unlisted gets a check-back.
The assistant never promises a stain will come out, and never settles a claim.
Pickup bookings become a route sheet: address, window, items described, number.
Pairs to the existing shop number by QR; Starter is $19 a month.

At a glance

It answers

Prices per item and per kg
Turnaround and rush options
Pickup and delivery areas
Opening hours and locations

It hands to you

Stain and fabric questions
Damage and loss claims
Bulk and corporate contracts

10 min

to set up

New chats

only, by default

Any

language

Laundry and dry cleaning

answered by Replai, after hours

How much to dry clean a suit? When would it be ready?21:14
Suit dry cleaning is $18, ready in 3 days, or next day for $25. Pickup and delivery within the city is $5. Want me to arrange a pickup?21:14
Pickup tomorrow morning. There's a turmeric stain on the jacket21:16
Pickup tomorrow between 9 and 12 requested, and the team confirms the round this evening. I'll note the turmeric stain for the team; they'll check the fabric before promising it comes out. Address and number please?21:16

Illustrative exchange. Your bot answers from your own prices, hours and rules.

Replai knowledge base screen with pasted prices, hours and policies — Your prices, hours and rules live here. Paste them once; every answer comes from this.

Replai leads table showing captured customer details — Every enquiry that shows intent lands in a sheet with the name, number and what they asked.

A laundry's WhatsApp is a stream of the same four questions: "how much?", "when will it be ready?", "do you pick up?", "what time do you close?". Answered from the counter between customers, or from the machines, or not at all until the evening rush is over.

Why laundry WhatsApp is constant

The decision is made in minutes. The MIT lead response study found that calling a web lead within five minutes rather than thirty makes contact 100 times more likely (InsideSales.com/MIT Lead Response Management Study, 2007). A customer holding a suit and asking your price is choosing between you and the shop next door right now.

The questions are simple, the volume is steady all day, and every one needs an answer within minutes because the customer is deciding right now whether to drop off with you or the shop next door. The answers rarely change: your price list, your turnaround, your pickup areas.

What can a WhatsApp bot handle for a laundry?

Paste your price list, turnaround times, rush options, pickup windows and areas, and opening hours. The assistant answers from that on your shop number, in the customer's language.

Customer asks	Answered from
Price per item or per kg	Your price list
When it will be ready	Your turnaround rules
Rush service	Your rush charges
Pickup and delivery	Your areas, fees and windows
Opening hours and branches	Your details
Payment	What you accept

Pickup requests become rows in your Google Sheet: address, window, items described, number. Your driver runs the route from the sheet.

What should stay with a person?

Stains, delicate fabrics, damage and lost items go to a person with the photo attached. The assistant never promises a stain will come out and never settles a claim. Corporate and bulk contracts go to you for a quote.

An evening with it switched on

Sunday night. Fifteen enquiries in an hour after the weekend. The assistant quotes prices, confirms turnaround, and books six pickups for Monday morning into the sheet. One customer sends a photo of a wedding dress with a wine stain; the assistant takes the details and flags it for you. Monday starts with a pickup route already built and one call to make.

Set up in 10 minutes

Scan the QR with the phone that holds the shop number. Paste prices, turnaround, pickup windows and hours. Test from another phone. Fix anything unclear. Switch it on; existing chats stay as they were.

Want this on your number?

7-day free trial — no credit card, no API key.

Start free trial

Frequently asked questions

Can a WhatsApp bot quote laundry prices?: Yes, from your price list: per item, per kg, per service, plus rush charges and pickup fees. It quotes exactly what you paste in and says it will check for anything that is not on the list.
What about stains and delicate fabrics?: The assistant takes the details and the photo, gives your general guidance if you wrote any, and passes the thread to a person. It never promises a stain will come out.
Can it schedule pickups?: It offers the pickup windows you keep in its notes, confirms one, collects the address, and logs the job to a Google Sheet for your driver.
Does it work on our shop number?: Yes. It pairs to the existing number by QR, like WhatsApp Web. Plans start at $19 a month with the AI included, and the 7-day trial needs no card.

Sources

About WhatsApp, WhatsApp, 2026-09-07
Lead Response Management Study, InsideSales.com and MIT, 2007