WhatsApp ordering, automated

Every messy order,
turned into a clean ticket.

Customers type, talk, or send a photo of what they need. Hubena Orders reads it, matches it to your catalog, and hands you a ready-to-fulfill order โ€” no app for them to download.

Official WhatsApp Cloud API ยท built for grocery, bakery & pharmacy shops
๐Ÿ›’ Al Noor Grocery
morning, need milkk milk and bread, 2 each
Got it โ€” 2ร— milk, and which bread? Arabic or brown?
Arabic, and eggs too
Voice note ยท 0:07 ยท "same as last week, minus the sugar"
ORDER HBN-1042Al Noor Grocery ยท today 09:14
2ร—Almarai Low Fat Milk 1L17.00
1ร—Arabic Bread3.50
1ร—Eggs, 15 pcs12.00
TotalAED 32.50
MATCHED TO CATALOG
โœ“ confirmed by customer
Text ยท voice notes ยท photos โ€” one order pipeline
Built on the official Meta WhatsApp Cloud API
Multi-tenant from day one โ€” your team, your customers
How it works

Three steps, every time an order comes in

Free text does the understanding. Buttons do the executing. Nothing changes on an order until someone confirms it.

01

Customer messages naturally

Typos, dialects, voice notes, a photo of what's in the fridge โ€” Hubena reads it the way a shopkeeper would, not the way a form expects.

02

AI matches your real catalog

Every item is checked against your actual products, brands and sizes โ€” with a confidence score, not a guess dressed up as one.

03

Order is edited with buttons, not luck

Quantity changes, swaps and removals go through WhatsApp buttons and a confirmation step โ€” so "remove the milk" never touches the wrong item.

What's actually built

The parts that keep an order honest

No feature here is aspirational โ€” this is the same order-safety logic running underneath the chat.

โœ“

Explicit confirmation, always

Adding, removing or replacing an item is proposed by AI but only applied after the customer taps confirm. No silent order rewrites.

#

Stable item tracking

Every line item has its own ID, so "change the water" affects the water item โ€” not whatever the AI guessed was closest.

โ†ป

New order โ‰  old order

"new order" โ€” typos and all โ€” starts a clean draft instead of quietly merging into yesterday's order.

๐Ÿ“

Addresses need a yes

An AI-read address is proposed, never auto-saved. Customers confirm it or send a live location before it's used for delivery.

โง‰

Multi-tenant by default

Each store's catalog, staff, orders and conversations are isolated โ€” one dashboard, unlimited shops.

๐Ÿ‘ค

Human takeover, on demand

Any conversation can be handed to a real staff member, and the AI steps back until it's handed back.

Who it's for

Shops that already take orders on WhatsApp โ€” just badly

If your phone is the order desk, Hubena is the layer that makes it scale past the owner's own memory.

Neighbourhood grocery / bakalaweekly repeat orders
Bakery & fresh producesame-day, high volume
Pharmacyprecise item matching
Small restaurant takeoutvoice-note orders

Let's see your first ten orders through it.

No migration, no new app for your customers. Connect your WhatsApp Business number and your product list โ€” the rest is a conversation.