LandinChat — WhatsApp marketing softwareLandinChat
No-code · AI included · Official Meta Tech Partner

Build an AI WhatsApp chatbot — without writing a line of code.

Qualify leads, recover carts, book appointments and answer FAQs in 50+ languages — 24/7 on the Official WhatsApp Business API. Hand off to your team the moment a human is needed.

Official Meta Tech Partner 50+ languages GDPR · ISO 27001 99.9% uptime Live in 24 hours
70%
Tickets deflected
<1s
Avg reply time
50+
Languages
24/7
Always on
Why a WhatsApp chatbot

Customers don't want forms. They want a chat.

A WhatsApp chatbot replies in seconds, in their language, on the app they already check 80 times a day. Conversion rates beat web chat by 3–5×.

AI trained on your business

Upload your website, PDFs, help docs, product catalog and FAQs. The bot answers from your real content — not hallucinations.

Visual no-code builder

Drag-and-drop questions, buttons, conditions, lists, API calls and handoffs. Every step previews exactly how it looks on a phone.

50+ languages, auto-detected

Customer writes in Hindi, agent replies in Hindi. Customer writes in Spanish, agent replies in Spanish. No setup needed.

Seamless human handoff

Any step can route to a live agent with full context. Agents reply from the shared team inbox; bot resumes when they're done.

Connect your stack

Built-in integrations for Shopify, WooCommerce, HubSpot, Zoho, Razorpay, Calendly, Google Sheets, plus webhooks for everything else.

Always-on, 24/7

Replies in under a second, every hour of every day. Customers in the US wake up to answers from your bot in Mumbai.

Buttons, lists & flows

Use WhatsApp Flows, quick replies, list pickers, location requests, file uploads — the full native UI, not just text.

Policy-safe & GDPR-ready

Official Meta Tech Partner. GDPR and ISO 27001 compliant. Customer data stays in the region you choose.

How it works

From zero to live bot in under an hour.

1. Point it at your content

Paste your website URL, drop in PDFs and product feeds. The bot indexes everything in minutes.

2. Map the key flows

Start from a template — lead qualification, cart recovery, booking, FAQ — or build your own.

3. Test in WhatsApp

Scan a QR code, talk to your bot in real WhatsApp, tweak replies until you're happy.

4. Go live & route

Switch it on. Bot handles routine queries, escalates anything tricky to your team in the shared inbox.

What you can automate

Six high-ROI chatbot flows teams ship in week one.

E-commerce

Recover abandoned carts

Bot follows up 30 minutes after abandonment with the cart contents, answers sizing/shipping questions and closes the sale.

EdTech

Qualify and route leads

Ask 4 questions, score the lead, book a counselor slot — or drop them into a nurture flow with course PDFs.

Healthcare

Book & remind appointments

Patients pick a slot in WhatsApp, get reminders, reschedule with a tap. No app, no phone calls.

Real Estate

Pre-qualify site visits

Bot asks budget, location, BHK preference, sends matching listings and books a site visit with the right RM.

Restaurants

Take orders & reservations

Customer browses the menu in WhatsApp, places the order, pays via Razorpay link — all in one chat.

SaaS & Services

Tier-1 customer support

Deflect 60-80% of repetitive support questions. Hand off complex ones to a human with full context.

Done-for-you onboarding

Your chatbot, designed and shipped by our team in 24 hours.

We ingest your content, build the flows, write the AI prompts and test on a real number — so you can focus on the leads, not the setup.

See pricing
FAQ

Questions teams ask before shipping a chatbot.

What is a WhatsApp chatbot?+

A WhatsApp chatbot is an automated assistant that runs on the WhatsApp Business API and replies to customers 24/7. LandinChat lets you build one without code — drag-and-drop flows, AI-powered free-text replies, and human handoff to your shared team inbox when needed.

Do I need to know how to code?+

No. The visual flow builder uses drag-and-drop blocks for questions, buttons, conditions, API calls and human handoff. Most teams have a working bot live in under an hour. If you want raw control, every step also accepts webhooks and custom JavaScript.

Is the AI included or do I bring my own?+

The AI is included — powered by GPT-class models and trained on your website, PDFs, FAQs and product catalog. No OpenAI key, no per-token billing, no surprise costs. Usage is bundled into your plan.

Can it hand off to a human agent?+

Yes. Any flow step can route the conversation to your shared team inbox with full chat history, customer context and tags. Agents reply from web or mobile and can hand it back to the bot at any time.

What languages does the chatbot support?+

Out of the box: 50+ languages including English, Hindi, Spanish, Portuguese, Arabic, French, German, Bahasa and 10+ Indian regional languages. The AI auto-detects the customer's language and replies in the same one.

Will my number stay safe?+

Yes — LandinChat runs on the Official WhatsApp Business API as a Meta Tech Partner. No unofficial mods, no scraping, no ban risk. Your number, green tick and quality rating are protected.

Start replying to customers in seconds
— set up by tomorrow.

Join 500+ businesses worldwide using LandinChat to reply faster, sell more, and never miss a customer on WhatsApp.

Official Meta Tech Partner GDPR · ISO 27001 Cancel anytime

Explore the full LandinChat WhatsApp suite

Every product below is built on the official WhatsApp Business Cloud API and works with the rest of the LandinChat stack — CRM, broadcast, chatbot, automation and analytics — out of the box.

Why this page is separate

WhatsApp Chatbot solves a different operating problem than a generic WhatsApp inbox. This page focuses on the triggers, reports, agent workflows, integrations and account-health decisions that buyers evaluate before choosing this exact product area.

How teams should evaluate it

Look for official WhatsApp API provisioning, opt-in capture, template governance, CRM context, handoff rules, role-based access and exportable analytics. A strong whatsapp chatbot setup should improve reply speed without creating more manual admin work.

What success looks like

The early signal is not message volume. It is higher qualified replies, cleaner assignment, faster resolution and clearer revenue attribution. Mature teams use whatsapp chatbot as a repeatable operating system, not a one-off campaign tool.

Official sources & further reading

We build on top of official documentation from Meta and recognised industry bodies. Use these references to verify policies, pricing and compliance details directly at the source.

Industry playbooks built on this product

See how teams in your sector deploy LandinChat end-to-end.

What counts as a WhatsApp chatbot in 2026

The word "chatbot" now spans three very different things: (1) menu-driven flows with quick-reply buttons (still 60% of production traffic), (2) LLM-backed conversational agents grounded in your catalog + knowledge base, and (3) hybrid bots that route rule-defined intents deterministically and hand ambiguous queries to an LLM. Only the hybrid pattern survives contact with real customers at scale — pure LLM bots hallucinate refunds; pure menu bots collapse the moment a customer asks anything off-script.

Architecture that ships to prod

LayerJobRecommended tool
ChannelCloud API webhook + inboxLandinChat inbox
Intent routerClassify message → intent (rule or LLM)Deterministic first, LLM fallback
KnowledgeGround answers in truthRAG on FAQ + catalog + policy docs
ActionsFetch order, generate label, refundServer functions with typed inputs
HandoffEscalate to human when confidence &lt; thresholdSkill-based routing to agent inbox
ObservabilityLog every turn, thumbs-up/down, escalationWeekly review + retrain

The 12 intents that cover 80% of traffic

  • Order status · Return / refund · Cancel order · Change address
  • Product availability · Price · Discount code · Store hours
  • Human agent · Complaint · Feedback · Unsubscribe

Nail these twelve as deterministic flows with structured slots. LLM handles the long-tail 20%.

Guardrails you must implement

Metrics that prove the bot is working

MetricHealthyInvestigate
Containment rate55–75%&lt; 40%
Handoff CSAT delta≥ 0Bot hurting CSAT
Avg turns to resolve3–5&gt; 8
Escalation confidence&gt; 0.7 threshold hitToo many low-confidence escalations
Fallback rate&lt; 8%&gt; 15%

Build vs buy in 2026

Building on raw Cloud API + your own LLM stack is 6–9 engineer-months to reach parity with an off-the-shelf platform. Buy makes sense unless you have (a) unique domain models the vendor can't express, (b) strict on-prem requirements, or (c) > 500K conversations/month where platform fees dominate.

Related: Chatbot builder · Automation · Flows.

In depth

What actually matters with WhatsApp Chatbot

WhatsApp Chatbot is one of those topics where the surface answer ("use WhatsApp Business API") hides the real work. The rest of this page unpacks what actually moves the needle for growth teams teams: template strategy, opt-in hygiene, human handoff, and the compliance guardrails that keep the account alive.

WhatsApp’s open rate — 85–98% inside 15 minutes — is only valuable if the platform underneath it treats the channel as a workflow surface, not a broadcast megaphone. For growth teams teams evaluating WhatsApp Chatbot, the questions to ask are: does the vendor own green-tick submission end-to-end, are templates reviewed for approval-risk before you send them, is pricing flat or does it add per-message markup on top of Meta’s own rate, and can a live agent take over a conversation without losing context.

The three levers that consistently produce measurable lift are: (1) segmenting broadcasts by recency and spend tier instead of blasting the entire list; (2) capturing opt-in at every surface — website, checkout, in-store QR — so future utility templates approve first-attempt; and (3) routing any reply containing intent signals to a human within five minutes. Everything else — chatbot flows, catalog integration, payment links — is downstream of those three.

LandinChat ships all of the above as defaults, with the data model pre-wired. That is why customers who move onto LandinChat typically see reply-rate lift within the first 30 days and full ROI within one billing cycle.

A high-quality WhatsApp Chatbot page should not stop at a feature list. Buyers need to know how the topic behaves in the real WhatsApp Business API environment: what happens when templates are rejected, how agent ownership is preserved after a bot handoff, how opt-in is captured, what reports prove revenue, and where a team should avoid over-automation. The practical evaluation lens is workflow fit, compliance, automation depth, reporting quality, and handoff speed. If any of those areas are vague, the implementation usually becomes slower, more expensive, and harder to scale.

Implementation blueprint

Start WhatsApp Chatbot with one narrow, measurable journey: capture the opt-in, send one approved utility or marketing template, route replies to the correct owner, and tag the outcome. Once the first journey produces clean data, duplicate the structure for adjacent segments. This protects account quality because every template has a clear purpose, every reply has an owner, and every campaign has a measurable next step.

Content depth checklist

For growth teams teams, the strongest pages combine strategic context, setup detail, operational risks, pricing expectations, compliance notes, and real use cases. That is why this page covers the decision criteria around WhatsApp Chatbot rather than repeating the same generic WhatsApp API explanation used on every software page.

What to compare before choosing

Ask whether the platform supports official WhatsApp Business API onboarding, segmented broadcasts, a shared team inbox, CRM history, flow automation, live analytics, template review, and clean exports. The right answer for WhatsApp Chatbot is rarely the tool with the longest feature grid; it is the one your operators can run every week without needing developers for routine changes.

Common execution mistake

The most common mistake is launching WhatsApp Chatbot as one large broadcast or one oversized chatbot flow. Strong teams launch smaller journeys, inspect the conversations, then expand. That gives WhatsApp better engagement signals, gives agents cleaner context, and gives leadership a clearer view of revenue impact.