Conversational AI

Conversational Commerce That Turns Every Chat Into a Revenue Opportunity

We build AI sales conversations across WhatsApp, Instagram, and website chat that guide customers from inquiry to purchase — recommending products, answering objections, and completing orders conversationally.

+180%

Average order value increase

3.4×

Purchase completion rate

−40%

Cart abandonment rate reduction

Trusted by growth teams at

Definition

What is conversational commerce?

Conversational commerce is the use of AI-powered chat interfaces — across messaging apps, social media DMs, and website chat — to facilitate product discovery, personalised recommendations, objection handling, and purchase completion in a conversational format. Rather than browsing a website alone, customers interact with an AI shopping assistant that understands their needs, recommends the right products, answers questions, and guides them to checkout. Aroluxa builds conversational commerce systems using WhatsApp Business API, Manychat, Klaviyo, Shopify, and n8n that increase average order value by 150–200% (because AI recommends complementary products contextually) and significantly reduce cart abandonment by completing purchase intent in the moment it's expressed.

conversational commerceAI shopping assistantWhatsApp commercesocial commerceManychatShopifyproduct recommendationsconversational AIchat commerceAOV optimisationcart abandonmentomnichannel retail

The Problem

Why most companies struggle without AI

The same patterns limit every revenue team. Here's what we fix first.

01

Customers browse your product catalogue and leave without buying

Website visitors who can't find the right product or have unanswered questions abandon silently. A conversational AI that actively guides product discovery converts significantly more browsers into buyers.

02

Product recommendations are generic, not contextual

'Customers also bought' recommendations have no knowledge of why the customer is buying or what they actually need. AI conversation uncovers intent and recommends precisely the right product for their specific situation.

03

Purchase intent dies in the DMs

Customers who ask about products via Instagram DM or WhatsApp have high purchase intent — but manual response delays kill the moment. AI handles these conversations instantly and guides them to purchase.

04

Cart abandonment is treated as inevitable

AI conversational commerce reduces cart abandonment by completing purchase in the chat interface — before the customer reaches a checkout page where distractions cause drop-off.

Full System Scope

Everything we build, end to end

Every component is custom-built for your stack, ICP, and business model — not templated.

AI Shopping Assistant

  • Natural language product discovery
  • Contextual product recommendations
  • Bundle and upsell suggestion logic
  • Size, variant, and compatibility guidance

Omnichannel Commerce

  • WhatsApp Business shopping flows
  • Instagram DM commerce automation
  • Website chat-to-purchase
  • SMS commerce for existing customers

Purchase & Payment

  • In-chat checkout link generation
  • Payment confirmation automation
  • Order status via conversational query
  • Post-purchase upsell sequences

Personalisation & Retention

  • Purchase history-based recommendations
  • Reorder reminder conversations
  • Loyalty programme integration
  • Personalised promotional delivery

Deployment Process

How we build and launch your system

01

Week 1

Commerce Flow Design

Map the customer buying journey from product discovery to post-purchase. Design the conversational flows for each stage — discovery, recommendation, objection, checkout, follow-up.

02

Week 1–3

Catalogue & AI Build

Connect product catalogue with AI recommendation logic. Build conversational flows in WhatsApp/chat platform. Integrate with Shopify or ecommerce backend for inventory and order data.

03

Week 3–4

Test & Optimise

Test all conversation flows end-to-end. A/B test recommendation logic, objection handling responses, and checkout prompts. Measure AOV and completion rate against baseline.

04

Ongoing

Scale & Expand

Expand to additional channels. Add seasonal commerce flows. Monthly optimisation of recommendation accuracy and checkout conversion rates.

Live and producing results in 6 weeks.

Book a strategy call

Side-by-Side

Conversational Commerce vs. Traditional E-Commerce

Factor
AI Conversational Commerce
Standard E-Commerce
Product discovery
Guided, contextual conversation
Self-directed browsing
Recommendations
AI-personalised by stated need
Algorithmic 'also bought'
Objection handling
Real-time AI response
Customer abandoned to find answers
Purchase location
In-chat, no page load
Checkout page with friction
Post-purchase
Automated follow-up & reorder
Email campaigns to full list

Built on

WhatsApp Business APIManychatKlaviyoShopifyn8nOpenAIMetaTwilioStripeSegment

Results

From the field

Ecommerce / BeautyPremium Skincare Brand

+180%

average order value through WhatsApp commerce

Conversational CommerceWhatsApp ShoppingAOV OptimisationEcommerce AI

We built a WhatsApp shopping assistant for their skincare line: customers describe their skin concern, AI recommends a personalised routine (3–4 products), answers ingredient questions, and sends a checkout link directly in WhatsApp. AOV through WhatsApp: $340 vs. $121 on website (because AI builds multi-product routines). 34% of WhatsApp conversations convert to purchase vs. 2.8% website conversion rate. WhatsApp now contributes 28% of total revenue.

Read full case study

Investment

Build your Conversational Commerce system

Fixed-scope builds. Clear deliverables. No hourly billing surprises.

Commerce Starter

$2,200

per month

  • 1 channel (WhatsApp or chat)
  • Product discovery flow
  • Basic recommendation logic
  • Monthly conversion reporting
Get Started
Most Popular

Commerce System

$4,500

per month

  • Everything in Starter
  • 2 channels
  • AI recommendation engine
  • In-chat checkout
  • Post-purchase automation
Get Started

Commerce Enterprise

$8,000

per month

  • Everything in System
  • All channels
  • Custom AI product matching
  • Loyalty integration
  • Dedicated commerce AI engineer
Book a Call

Need a custom enterprise scope? Talk to us

FAQ

Questions, answered.

Everything you need to know about how we build Conversational Commerce systems.

Still have questions? Talk to us

We build conversational commerce on WhatsApp Business (highest engagement for most markets), Instagram DM (ideal for discovery-oriented brands), website live chat, Facebook Messenger, and SMS. Channel selection depends on where your customers are most active — WhatsApp for markets outside North America, Instagram for visual product categories, website chat for direct-nav traffic.

AI asks customers about their specific situation, goal, or problem — then matches their stated needs against your product catalogue to recommend the best fit. For skincare: 'What's your primary skin concern?' leads to a curated routine recommendation. For fashion: size, occasion, and style preference lead to outfit recommendations. The AI knows your full catalogue and recommends based on the customer's specific context, not popularity algorithms.

Yes — we integrate with Shopify or your commerce platform to generate personalised checkout links within the WhatsApp conversation. Customers click, complete checkout in a browser, and receive order confirmation back in WhatsApp. Full in-app native commerce (WhatsApp Pay) is available in supported markets.

We sync with your Shopify/WooCommerce inventory in real time — AI only recommends products that are in stock. When a recommended product goes out of stock, AI automatically offers the best alternative. Back-in-stock notifications are sent proactively to customers who expressed interest.

Yes — conversational AI excels at high-consideration categories (luxury, home goods, B2B) because it can handle the extended product education and objection resolution that these purchases require. A customer asking about a $2,000 sofa gets a full consultation about dimensions, fabric, delivery, and warranty — in conversation, not across 20 product page reads.

We track: AOV (AI-assisted vs. self-service), conversion rate (conversation to purchase), revenue per conversation, and channel contribution to total revenue. We compare against website baseline metrics for the same customer segments. Most clients see payback within 60–90 days as AOV improvement and conversion rate lift combine.

Ready to automate?

Let's build your Conversational Commerce system

Book a free 30-minute strategy call. Walk away with a system architecture, deployment timeline, and cost estimate. No commitment, no pressure.

Book Intro Call

Free 30-min call · No obligation · System live in 6 weeks