WhatsApp AI Chatbot to Qualify, Convert, and Retain Customers at Scale
Replace manual follow-ups and support with a WhatsApp AI chatbot built for ecommerce and service businesses that want speed, scale, and full funnel automation powered by AI.
Rated 4.9 on Shopify and G2

Powering WhatsApp automations for 1000+ brands across 29 countries

Explore the Possibilities Across Your Customer Journey
Acquire More Qualified Leads on WhatsApp
Whether it’s an ad click, a QR code scan, or via Instagram and FB DMs — capture and qualify all inbound leads 24/7, without human intervention, using AI to adapt questions and detect high-intent users.

Engage Your Customers With Personalization & Logic
Design WhatsApp journeys that adapt in real time — based on user behavior, preferences, and logic. From product discovery to customer support, every interaction stays relevant and timely.

Re-Engage Abandoned Leads to Drive Conversions
Detect when someone abandons their cart, browses but doesn’t act, or chooses COD. Then, automatically trigger AI-personalized messages to recover that intent and complete the sale.

Retain Customers and Build Long-Term Loyalty
From reminding them to refill, asking for feedback, to rewarding repeat behavior — use AI to predict intent and personalize timing, improving satisfaction and lifetime value.


The WhatsApp AI Chatbot That Replaces
Manual Tasks With Intelligent Automation
Capture Leads from WhatsApp Ads and QR Codes
AI routes users based on inferred source or entry point — ad, QR, or website — tailoring the first message to match their journey.
Qualify Leads with WhatsApp Chatbot Questions
Leads are auto-qualified using AI-driven questions and adaptive follow-ups based on profile, budget, or product category.
Auto-Fill User Data from CRM or Sessions
Chatbot enriches responses using CRM lookups and session metadata, or predicts inputs to reduce friction.
Detect Buying Intent from WhatsApp Replies
NLP-powered classification detects urgency, confusion, or readiness from free-text replies and adjusts flow dynamically.
Create Multi-Step Forms in WhatsApp
Responses are parsed in real time to extract context and assign meaning using basic NLP and structure analysis.
Handle Complaints Using WhatsApp Forms
Issues are categorized using AI-led decision trees to accelerate routing and resolution.
Run Product Quizzes Inside WhatsApp
Outcomes are generated using real-time inputs and user traits, with AI matching the best-fit results.
Collect Feedback Using WhatsApp Rating Bots
Bots analyze tone and pattern of feedback through quick inputs like ratings and emojis to surface insights.
Display Product Catalogs in WhatsApp
Catalogs are dynamically ordered based on user interest signals and category affinity.
Let Users Search and Filter Products in Chat
AI interprets loose or vague user queries and filters responses based on inferred needs.
Recommend Products Based on User Behavior
AI uses behavioral cues and historical actions to recommend the most relevant products.
Guide Variant Selection via Chat
Preference for variants like size or color is inferred using past choices and micro-conversions.
Build Multi-Day WhatsApp Journeys
Message tracks evolve automatically based on user response patterns and journey stage.
Adapt Flows Using Conditional Logic
AI predicts user paths and adjusts conversations without hardcoded branches.
Trigger Messages Based on User Actions
Predictive modeling launches follow-ups when action likelihood peaks — not via fixed delays.
Warm Up Leads Before Sending Offers
Chatbot adapts tone or value messaging depending on user activity and engagement history.
Send WhatsApp Reminders for Wishlisted Products
Reminders are timed using predictive signals on user return likelihood.
Re-Engage Users Who Drop Off or Uninstall
Inactivity is flagged through behavioral drop-off models to trigger comeback flows.
Inform Users When Out-of-Stock Items Are Back
Interest scores and restock predictions guide who receives back-in-stock alerts.
Trigger WhatsApp Alerts for Price Drops
AI identifies price-sensitive users and sends FOMO nudges accordingly.
Send Offers Based on Browsing or Cart Behavior
Offer type and messaging are selected based on user funnel depth and conversion likelihood.
Run Targeted Coupon Campaigns for User Segments
AI-generated segments receive contextual offers that align with their persona.
Create Time-Limited Offers to Drive Urgency
Urgency messages are applied using predictors of hesitation or decision fatigue.
Adjust Discount Value Dynamically by User Type
Discounts are calculated using LTV, order history, and previous incentive response data.
Answer FAQs Automatically in WhatsApp
NLP identifies user question intent and maps it to the most accurate resolution.
Provide Real-Time Order Status in Chat
Questions around status or delivery are interpreted and responded to using conversational AI.
Handle Complaints or Returns via Structured Flows
Complaint types are predicted and the bot selects the most efficient resolution pathway.
Escalate to Human Agents When Needed
Escalation is triggered based on AI-detected frustration or issue complexity via sentiment cues.
Detect Cart Abandonment and Start Recovery Flows
When users leave items in their cart without checking out, AI bot triggers targeted follow-ups automatically.
Offer Incentives to Complete Purchase on WhatsApp
Users receive offers like timely discounts, free shipping, or limited-time offers to nudge them back to checkout.
Run Multi-Day Recovery Sequences
To increase success rates, reminders are scheduled over 2–5 days — each with a different tone or offer.
Send Cart Summaries Inside Chat
A clear, clickable cart preview is sent inside WhatsApp to remind users what they left.
Track Users Who View Products But Don’t Buy
Behavioral signals flag when browsing drops off without action, triggering smart reminders on WhatsApp
Send Product Reminders Based on Interest Signals
Friendly nudges (e.g. “Still interested?”) are personalized based on view history, to revive interest without being intrusive.
Time Follow-Ups Based on User Behavior
Send messages when users are most likely to engage — evenings, weekends, or time-of-day optimized slots.
Test Different Follow-Up Messages
Run variations like urgency-driven or reassurance-based messages to learn what converts best.
Identify Risky Cash-on-Delivery Orders
Historical cancellation trends, user location, or risk patterns are detected to proactively guide buyers towards prepaid checkout with incentives.
Offer Incentives to Switch from COD to Prepaid
Discounts or benefits are selected by AI based on user's past response behavior.
Collect Payment via UPI or Payment Link in WhatsApp
Share secure payment links inside the chat to complete prepaid orders without redirection.
Follow Up on Incomplete Payment Attempts
Incomplete attempts trigger auto-reminders with fresh links or alternate options.
Track Reorder Timelines Based on Purchase History
Past purchase cycles help estimate when users are due to reorder — and restock reminders are sent accordingly.
Promote Combos or Larger Packs for Better Value
Suggest bundles or bulk packs as a smarter option, improving both user convenience and AOV.
Encourage Subscriptions with Extra Benefits
Users are encouraged to auto-renew products with perks like discounts, freebies, or priority shipping.
Trigger Feedback Messages After Order Delivery
Bots reach out at the right time to ask for input once the product or service has been received.
Let Users Choose Where to Leave Reviews
Automatically send contextual links to Amazon, Google, or site review pages based on their purchase source.
Collect Ratings Within WhatsApp
Use emoji, star, or button-based inputs to measure customer satisfaction without leaving the chat.
Encourage Public Reviews After Positive Feedback
5-star feedback triggers a follow-up request for public sharing, and below it triggers a message to ask what went worng.
Display Loyalty Points and Reward Balance in Chat
Users can check how many points they’ve earned and what rewards they can unlock — without logging in elsewhere.
Generate Unique Referral Links for WhatsApp Sharing
Personalized referral links are sent to users to share with friends via WhatsApp or other social apps.
Promote Ongoing Referral or Loyalty Offers
Ongoing referral or loyalty promos are sent based on user behavior or purchase gaps.
Enable Points Redemption Inside WhatsApp
Let users apply loyalty points or referral credits during the checkout process — all within the chat.

The Tech Under The Hood
Supported AI Models
The WhatsApp AI chatbot integrates advanced models such as
GPT-4o,Gemini 2.5 pro & more .
Gemini 2.5 Flash
Gemini 2.5 Flash Lite Preview 06-17
Gemini 2.5 Pro
Gemini 2.5 Pro Preview 06-05
Gemini 1.5 Pro
Gemini 1.5 Flash
Gemini Pro
Gemma 3n 2B (free)
Mercury
MiniMax M1
Devstral Medium
Devstral Small 1.1
Magistral Medium 2506
Magistral Medium 2506 (thinking)
Magistral Small 2506
Mistral Small 3.2 24B
Mistral Small 3.2 24B (free)
Kimi K2
Kimi K2 (free)
Fast Apply
Morph V3 Fast
Morph V3 Large
o3 Pro
GPT-4o Mini
GPT-4o
GPT-4 Turbo
GPT-3.5 Turbo
Kimi Dev 72b (free)
Switchpoint Router
Hunyuan A13B Instruct
Hunyuan A13B Instruct (free)
Anubis 70B V1.1
GLM 4.1V 9B Thinking
DeepSeek R1T2 Chimera (free)
Uncensored (free)
Grok 3
Grok 3 Mini
Grok 4
These models are designed to provide accurate natural language generation, handle complex tasks, and facilitate efficient conversations.
Token Management
QuickReply offers flexible token management, allowing businesses to either bring their own tokens or use those provided by us.
This flexibility helps optimize costs and ensures seamless management of AI-driven chat interactions.

Keep CRM and WhatsApp in Sync with Automated, Context-Aware Workflows

Update Lead Status Based on WhatsApp Activity
Replies, clicks, or opt-ins auto-sync to your CRM — keeping the funnel current.
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Personalize Messages Using CRM Data
Attributes like location, LTV, or last purchase guide message perosnalization and logic.

Assign or Reassign Leads Based on Ownership Rules
Lead ownership is adjusted between sales or support teams based on CRM triggers or field values.
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Automate Lifecycle Campaigns from CRM Triggers
Birthdays, inactivity, or win-back cues push WhatsApp messages without manual scheduling.

Optimize Conversations With Analytics That Reveal What Converts

Track Message Performance Across Templates
Measure open rates, click-throughs, and delivery success to evaluate which templates perform best.

Analyze Funnel Drop-Offs in Chat Journeys
Identify where users exit during multi-step conversations and refine the flow accordingly.

Understand Customer Sentiment in WhatsApp Replies
Use NLP to classify responses (positive, confused, frustrated) and flag critical issues or improvement areas.

Compare Journey Variants to Improve Conversions
Run A/B tests across flows (e.g., different offers or sequences) and pick what works best.
1000+ Successful Businesses Rely on QuickReply.ai
Based on 120+ reviews across Shopify + G2