Every Delayed
Reply Is Lost Revenue
WhatsApp Order OS detects missed orders during rush hours, captures customer intent with AI, and auto-confirms orders — so you recover revenue while you cook.
Trusted by food businesses
Kavita's Kitchen
● Online
Kavita S.
Bhai 2 paneer butter masala bhejo aaj 🙏
11:03
Order OS · AI Engine
Intent Detected
ORDER
Extracting Fields
item · qty · address
Confidence: 94%
Auto-confirm eligible
Order Confirmed
Customer notified
23
Orders captured today
<30s
Avg response
₹9,660
Revenue recovered
Scroll
Your busiest hour is your biggest leak
Between 11 AM and 12 PM, your phone explodes with orders. You're cooking. Every unanswered message is a customer walking away — permanently.
Ramesh
2 thali please, aaj jaldi chahiye
11:02
150–80 msgs
peak hour
Rush hour chaos
50–80 messages flood in between 11 AM–12 PM while you're cooking. You can't type and cook at the same time.
< 5 min
before they leave
5 minutes is all it takes
Customers give up within 5 minutes of no reply. They don't call again — they just order from someone else.
₹1,500
per missed order
Invisible daily loss
₹300–1,500 per missed order. 3–5 missed orders per day. You don't even know it's happening.
100%
manual today
Mental exhaustion
By evening, owner is mentally drained from tracking orders manually. Errors increase. Disputes follow.
“Aap WhatsApp pe paisa lose kar rahe ho — main dikhata hoon kitna, aur phir band karta hoon.”
— WhatsApp Order OS core promise
See exactly how much you're losing
Phase 1 is completely free. Connect your WhatsApp, and within 14 days you'll see a precise revenue leak report — no guesswork.
Revenue Leak Report
Last 14 days · Kavita's Kitchen
💬
0
Messages this week
⏱️
0
Unanswered >5 min
👥
0
Estimated drop-offs
💸
₹0
Revenue at risk
Missed messages · by day
Revenue at risk · breakdown
Want to see YOUR revenue leak?
Free 14-day analysis. No credit card required.
₹300–₹1,500
per missed order
industry average
3–5×
daily missed orders
during peak hours
60%
customers don't return
after one bad experience
From message to confirmed order
in under 30 seconds
A precise 5-step pipeline turns every WhatsApp message into a structured, confirmed order — with zero manual effort from you.
Message Arrives
Real-time captureCustomer sends an order via WhatsApp. The system detects it instantly — no polling, no delays.
AI Classifies Intent
LLM classifies the message: ORDER, INQUIRY, or COMPLAINT. Not just keyword matching — true intent understanding.
Fields Extracted
Item, quantity, address, and special instructions extracted with field-level confidence scores.
Auto-Confirm or Escalate
High-confidence orders are auto-confirmed and customer notified in <30 seconds. Low-confidence? Owner gets a tap-to-approve message.
Memory Updated
Order logged. Customer profile updated. Next time they say 'usual order' — the system already knows.
Step 01
Message Arrives
Customer sends an order via WhatsApp. The system detects it instantly — no polling, no delays.
Webhook fires within milliseconds. Raw message stored. Queue job dispatched.
{
"from": "Rahul M.",
"text": "2 paneer thali please",
"time": "11:07:43"
}Not a chatbot. An operating system.
Every layer of WhatsApp Order OS is engineered for one outcome: turning missed messages into confirmed revenue, automatically.
Revenue Leak Detection
Baseline analysis of your WhatsApp response patterns. See exact drop-off points, slow replies, and estimated loss.
AI Intent Classification
Every message classified as ORDER, INQUIRY, or COMPLAINT. Hinglish, broken English, emoji orders — all handled.
Smart Order Extraction
Item, quantity, address, delivery time — all extracted with field-level confidence. Ambiguous fields caught before confirming.
Auto-Confirmations
When confidence is high, orders are confirmed and customer notified in <30 seconds. No owner action needed.
Human-in-the-Loop
Low-confidence orders? Owner gets a tap-to-approve message on WhatsApp. One tap confirms. Every correction trains the AI.
Customer Memory
Customer profiles auto-created. Address saved after first confirmed order. Repeat buyers handled with zero re-entry.
Repeat Order Recognition
'Usual order bhej do' resolved from memory. Recurring customers need no re-extraction — it just works.
Complaint Firewall
Complaints never get AI responses. Instantly routed to owner with zero automation. Protecting your customer relationships.
WhatsApp Order OS vs. Doing It Manually
Response time
> 10 min
Manual
< 30 sec
Order OS
Missed orders
3–5 / day
Manual
≈ 0
Order OS
Order accuracy
~70%
Manual
> 85%
Order OS
Owner effort
100%
Manual
< 10%
Order OS
It gets smarter with every order
Customer Memory turns your repeat buyers into zero-effort orders. Every confirmed order teaches the system. By month 2, 80%+ of repeat orders need zero extraction.
Rahul Mehra
98%2× Paneer Thali
Total orders
47
Last order
Yesterday
Sunita Rao
96%3 Tiffin boxes
Total orders
31
Last order
2 days ago
Priya Desai
94%1 kg Daal Makhani
Total orders
22
Last order
3 days ago
Rahul Mehra
Customer for 3 months
98%
auto-accuracy
📦 Usual Order
2× Paneer Thali
📍 Saved Address
Sector 14, Gurgaon
📋 Total Orders
47 confirmed
⚡ Last Order
Yesterday
Latest interaction
Memory network
Why this is a moat:
Memory accumulates. Competitor can't replicate your data.
The numbers don't lie. Revenue recovered.
Home food sellers, cloud kitchens, tiffin services — real businesses, real numbers, zero hype.
₹15,000+
avg recovered / month
per business
94%
auto-confirm rate
after 30 days
<30s
average response time
vs 10+ min manual
0
missed orders during rush
AI captures all
Kavita Sharma
Home tiffin service · Gurgaon
“Pehle lunch rush mein 5-6 orders miss ho jaate the. Ab ek bhi nahi. Orders aathe hain, AI confirm kar deta hai, main sirf cook karti hoon. ₹12,000 extra recovered last month.”
47
Orders
₹12,400
Recovered
22s avg
Response
Ravi Nair
Cloud kitchen · Bangalore
“The revenue leak report was a shock — ₹22,000 in one month. I didn't believe it. But the system proved it. Now those orders get captured automatically. Game changer for us.”
91
Orders
₹21,800
Recovered
18s avg
Response
Meena Patel
Homemade food business · Ahmedabad
“Meri regular customers ka usual order system yaad rakhta hai. Sunita ne likha 'same order' aur confirm ho gaya. 2 seconds mein. Mujhe kuch nahi karna pada.”
38
Orders
₹9,200
Recovered
15s avg
Response
Deepak Joshi
Catering business · Pune
“I was skeptical about AI handling my customers. But the HITL system means I stay in control. For tricky orders, I get a tap-to-approve message. It's the perfect balance.”
63
Orders
₹16,600
Recovered
25s avg
Response
Stop leaving money
on WhatsApp.
Connect your WhatsApp Business account. Get a precise revenue leak report in 14 days — completely free. No credit card. No commitment. Just the truth about what you're losing.
Free
14-day analysis
< 5 min
to connect
₹15k+
avg recovery
Zero
commitment