MsgHub doesn't bolt AI on as a feature — AI is woven through every screen. Ask your analytics a question. Let the agent run your workspace. Train intents with a few examples. Test two flows and let the winner take over. Rescue customers before they churn. All in plain English, no data scientist required.
Jump to any feature — each one works on its own, but they're stronger together.
Your in-platform AI teammate that actually does things.
Type a question. Get a chart. Like talking to your data.
See sentiment, unanswered questions, funnel drop-offs.
AI reviews your bot's prompts and rewrites them for better answers.
Teach the bot what customer messages really mean — with examples.
Run two flow variants side-by-side. The winner keeps traffic.
Spot slipping customers and win them back before they leave.
Every message goes to the right AI model at the right cost.
Most AI copilots only talk. MsgHub Agent takes action inside your workspace. You ask in plain English — "Send a reminder to everyone who abandoned cart yesterday" — and the agent looks up the segment, drafts a WhatsApp message, confirms with you once, and sends it.
It can create segments, build chatbot flows, launch campaigns, remember customer preferences across sessions, tag conversations, and escalate edge cases to you. Every destructive action needs a one-tap confirmation — so you stay in control.
MsgHub Agent
Online · Connected to your workspace
📄 DRAFT TEMPLATE
Hey {{name}}, you left something in your cart 🛒 — here's 15% off if you finish your order today. Shop: msghub.co/r/xyz
Recipients
187
Est. cost
₹93
Channel
How different businesses use the Agent
🏥 MEDICAL
"Remind patients with appointments tomorrow & list no-shows from last week."
🍽️ RESTAURANT
"Push today's lunch menu to customers who ordered in the last 30 days."
🛒 E-COMMERCE
"Find customers who bought shoes but not socks, send a bundle offer."
📈 LEAD-GEN (IndiaMART)
"Auto-reply to every new IndiaMART lead within 60 seconds on WhatsApp."
🎯 GOOGLE / META ADS
"Qualify every click-to-WhatsApp lead by asking 3 questions, then tag hot."
"Which channel had the highest conversion last month?"
Answer
WhatsApp led with a 4.8% conversion rate across 2,340 campaigns. SMS was 2.1%, Email was 1.4%.
Tip: WhatsApp outperforms when you include a product image + CTA button.
Your analytics shouldn't require you to learn SQL, open ten filters, or wait for a data analyst on Monday. MsgHub's Ask Analytics turns any plain-English question into the right chart, number, or list — in seconds.
It understands messaging-specific metrics: delivery rate, open rate, funnel drop-off, CSAT, cost per lead. It connects the dots across channels and returns a short explanation, not just a dashboard.
Why each business loves it
🏥 MEDICAL
"Which clinic branch has the most no-shows this month?"
🍽️ RESTAURANT
"What's the most reordered dish by my repeat customers?"
🛒 E-COMMERCE
"Top 10 cart-abandon reasons in customer chat last week."
📈 INDIAMART
"Lead-to-WhatsApp-reply rate by product category."
🎯 GOOGLE / META ADS
"Cost per qualified lead split by ad campaign."
You have thousands of chats every month. Nobody reads them. MsgHub's AI does — and it tells you what matters: which questions your bot couldn't answer, which customers are angry, where people drop off, and what the top topics are this week.
It turns raw conversation logs into CSAT scores, sentiment heatmaps, funnel drop-off alerts, and a weekly "things to fix" list — without reading a single chat yourself.
Conversations this week
Apr 11–17CSAT
4.6/5
▲ 0.3
Resolved by AI
81%
▲ 4%
Avg. reply
3.2s
— stable
Trending topics
Bot couldn't answer: "GST on gold jewellery"
Asked 34 times this week. Add a KB article to auto-answer.
By business type
🏥 MEDICAL
Spot anxious patients early; flag chats mentioning "severe pain" for same-day callback.
🍽️ RESTAURANT
Detect cold-food / late-delivery complaints by branch, so you catch service issues fast.
🛒 E-COMMERCE
See the top 5 reasons people ask for refund — fix them at the source.
📈 INDIAMART
Tag leads by buying intent (just browsing / shortlisting / ready) automatically.
🎯 GOOGLE / META ADS
Find which ad creative brings in the angriest / least-qualified leads and pause it.
AI rewrote your system prompt
❌ BEFORE — vague & generic
"You are a helpful assistant for our shop. Answer customer questions politely."
✅ AFTER — focused & measurable
"You are Kavya, the WhatsApp assistant for Shree Jewellery. Answer in
simple Hindi or English. For any pricing question, use the price_lookup
tool. For repair / order status, use order_lookup. Never invent prices.
If you're unsure, say: ‘Let me check with the team.’ and tag @escalate."
Expected lift: +18% resolution rate, −22% hallucinations
Based on 340 simulated conversations from your KB.
Writing a good system prompt is a skill. Most people guess. MsgHub analyzes how your bot actually performs — which questions went unanswered, where it made things up, where it sounded off-brand — and rewrites the prompt to fix those exact problems.
You get a before/after, an explanation of every change, and an expected performance lift. Apply with one click, or tweak and ship.
How each business benefits
🏥 MEDICAL
Adds medical-safety guardrails: never diagnose, always route emergencies to a clinician.
🍽️ RESTAURANT
Teaches the bot your tone — warm, punny, regional — and upsells combos naturally.
🛒 E-COMMERCE
Forces the bot to only quote live prices from your catalog — never guess stock.
📈 INDIAMART
Rewrites openers so every IndiaMART lead gets a contextual reply, not a template.
🎯 GOOGLE / META ADS
Tunes the qualifying questions based on your ad copy, so click-to-chat converts more.
Every business has its own slang. "Order status", "tracking ID", "mera saman kahan hai", "how far is my package" — they all mean the same thing. Intent Training lets you group these into one intent ("track order") with just a few examples. The AI handles every variation after that.
No ML engineers. No regex. You type 5 example messages, pick an action, and the classifier learns. It auto- improves from real chats — and tells you when customers are saying something new you haven't covered yet.
Intent: track_order
ActiveExamples you added
✨ AI suggests adding
Real intents for real businesses
🏥 MEDICAL
book_appointment, report_symptom, get_prescription
🍽️ RESTAURANT
place_order, reserve_table, complaint_food
🛒 E-COMMERCE
track_order, request_refund, size_exchange
📈 INDIAMART
quote_request, bulk_enquiry, sample_request
🎯 GOOGLE / META ADS
price_qualifier, location_check, book_demo
Running experiment
2,340 chatsCurrent flow
"Hi, how can I help today?"
AI variant
"Hey 👋 looking for {{recent_category}} or something new?"
Auto-promote Variant B — 95% confidence
Expected +₹1.2L additional monthly revenue.
Every copy change, every button order, every opening line matters. MsgHub splits traffic between two flow variants automatically, tracks conversion + CSAT + drop-off, and promotes the winner once it's statistically significant.
You don't set sample sizes or p-values. You pick A, pick B, set a goal (conversion / reply rate / CSAT / revenue). MsgHub runs the experiment and tells you when you have a real winner.
What to test per industry
🏥 MEDICAL
Booking-first flow vs symptom-first flow — which books more consultations?
🍽️ RESTAURANT
Menu buttons vs "what are you craving?" — which drives larger orders?
🛒 E-COMMERCE
Product recommendation carousel vs one-at-a-time story. Which converts?
📈 INDIAMART
Template reply vs AI reply — which converts more enquiries to hot leads?
🎯 GOOGLE / META ADS
Qualifying-questions flow vs book-a-demo flow. Which fills more slots?
Losing a customer quietly is the most expensive thing a business does. MsgHub's churn model watches each contact's activity (last order, last open, reply rate, sentiment) and flags the ones slipping away — before they stop responding.
Flagged contacts land in a rescue queue. AI picks the right message, channel, and timing, sends it, and only brings the ones who reply back to your team. Rescue rates typically beat static reactivation campaigns by 2-3×.
🚨 High-risk customers this week
47 flaggedPriya Rathi
Last order 42 days ago · Was monthly buyer
Ravi Mehta
Stopped opening WA campaigns 3 weeks ago
Arjun Kumar
CSAT dropped to 2.3 on last chat
✨ Suggested rescue for Priya
"Hey Priya, we noticed you haven't ordered in a bit — and we miss you! Your favorite maroon kurta just got restocked. Enjoy 20% off on your next order: msghub.co/r/priya20"
What churn looks like in your business
🏥 MEDICAL
Chronic patient missed 2 follow-ups — send an AI-drafted check-in.
🍽️ RESTAURANT
Weekly customer hasn't ordered in 3 weeks — push their usual combo with a nudge.
🛒 E-COMMERCE
Subscriber stopped opening emails — switch channel to WhatsApp with a personalized pick.
📈 INDIAMART
Quoted buyer went silent — auto-follow-up with a revised sample pricing.
🎯 GOOGLE / META ADS
Paid lead never showed up to demo — AI sends a recovery message with a new slot.
Every message, routed in real-time
"Hi" — quick greeting
Haiku"Show me cart abandoners who spend > ₹5000"
Sonnet"Build a churn prediction flow with 3 branches"
OpusHaiku
₹0.02
fast & cheap
Sonnet
₹0.18
balanced
Opus
₹1.40
heavy reasoning
You're saving ₹1.2L/month
vs running every chat through the premium model.
Not every message needs the biggest, smartest, most expensive model. A simple "hi" shouldn't cost the same as a multi-tool agent call. Smart Routing analyzes each incoming message, classifies the difficulty, and sends it to the cheapest model that can handle it well.
Four providers (Claude, GPT, Gemini, OpenRouter), three tiers (fast / balanced / reasoning), one brain that picks for you. If one provider goes down, it automatically fails over to another. You set a monthly budget — Smart Routing stays under it.
What it means for you
🏥 MEDICAL
FAQs on clinic hours go to fast tier. Symptom triage routes to reasoning tier for safety.
🍽️ RESTAURANT
Menu & hours: fast tier. Custom catering quote: reasoning tier. Savings: huge.
🛒 E-COMMERCE
Order status: fast. Complaint resolution: balanced. Custom bundling advice: reasoning.
📈 INDIAMART
Volume enquiries go cheap. Tax / compliance / export queries auto-route to reasoning.
🎯 GOOGLE / META ADS
Every paid click gets a reply in ≤3s — without burning your AI budget on small talk.
Conversation Intelligence spots unanswered questions. Prompt Suggestion rewrites your bot to answer them. Flow A/B tests the new version. Ask Analytics reports the win. Smart Routing keeps the cost low. Churn Rescue catches customers before they leave. The Agent runs the whole loop for you.
Listen
Conv. Intelligence surfaces gaps
Improve
Prompt Suggest + Intent Training
Test
Flow A/B auto-promotes winner
Rescue
Save slipping customers
Scale
Smart Routing keeps cost flat
Watch MsgHub's agent think, call a tool, verify safety, and reply — step by step. Every agent conversation, demystified.
What the customer sees
MsgHub Support
online
One simple reply. Five invisible steps.
What the AI actually does
Message lands. Platform strips prompt-injection attempts and untrusted markup.
Smart Routing picks the cheapest model that can answer. Agent reads intent and available tools.
lookup_order()Tool args validated with Zod. Query is tenant-scoped — no cross-customer leakage possible.
Your database replies in real time — live, not cached, not hallucinated.
AI writes a natural reply using the live data. Final PII scan, then WhatsApp delivers.
Every agent conversation in MsgHub runs through this exact loop. Every tool call is logged. Every destructive action needs confirmation. Every AI output is scanned before it reaches a customer. No black box.
No data team. No procurement cycle. Just one platform where AI actually moves the needle — from day one.