AI Shopping Assistants That Sell Through Conversations
E-commerce conversion averages low single digits. Many visitors had questions they couldn't get answered. Conversational commerce puts an AI shopping assistant in front of every visitor — answering questions, recommending products, and guiding to purchase. 25% higher AOV and 4x higher conversion rates.
Product Catalogs Don't Answer Customer Questions
Customers have questions catalogs can't answer: 'Will this work for my situation?' 'Which do you recommend for X?' These require consultative selling — understanding needs and matching products.
Live chat with humans helps but doesn't scale. One agent handles 3-4 conversations. Peak hours create waits. After hours, nobody's there.
AI Assistants That Understand Products and Customers
Product expertise: the assistant knows your entire catalog — features, specs, compatibility, pricing, availability. Needs-based recommendations: asks about the customer's situation, then recommends best-fit products. In-conversation checkout: add to cart, apply promos, and initiate checkout without leaving the conversation. Post-purchase support: order tracking, returns, and usage questions. Multi-channel: web, WhatsApp, Instagram, Messenger, SMS.
Conversational Commerce Setup in 4 Phases
Product & Customer Analysis(1-2 weeks)
Analyze catalog, common questions, purchase patterns, and conversion funnel.
Knowledge Base & Integration(1-2 weeks)
Structure product data for AI, integrate with e-commerce platform for real-time inventory and pricing.
Assistant Development(2-4 weeks)
Build shopping assistant with product expertise, recommendations, checkout flow, and post-purchase support.
Launch & Optimization(2-4 weeks)
Launch on highest-traffic channels. Monitor conversion, AOV, and satisfaction. A/B test conversation flows.
Conversational Commerce Technology Stack
Ready to Automate?
No commitments. Tell us what you need and we'll tell you how we'd solve it.
Conversational Commerce Deployments
Fashion Retail
Challenge: 28% return rate because customers chose wrong sizes and styles
Solution: AI styling assistant asking about body type, preferences, occasions, with specific size guidance and 'complete the look' upselling
Result: Returns dropped from 28% to 16%; AOV increased 32%; conversion 4.2x higher on assisted sessions
Consumer Electronics
Challenge: Compatibility questions drove 60% of pre-purchase support tickets
Solution: Technical shopping assistant with compatibility matrix. Customers describe setup, get compatible product recommendations
Result: Pre-purchase tickets reduced 55%; basket size increased 28%; compatibility returns dropped 70%
B2B Supplies
Challenge: Repeat orders required navigating 10,000-SKU catalog to find same products
Solution: WhatsApp ordering assistant remembering past orders, accepting reorders via message, suggesting when regular orders are due
Result: Reorder time from 15 minutes to 30 seconds; WhatsApp became #1 order channel (45%); retention improved 22%
Health & Wellness
Challenge: Supplement recommendations too complex for product filters — health goals, medications, restrictions
Solution: AI wellness consultant asking about goals, diet, lifestyle, recommending personalized supplement stacks
Result: Conversion from 1.8% to 7.2% on assisted sessions; subscription sign-ups 3x higher; LTV increased 45%
Why idataweb for Conversational Commerce
Modern Production Stack
Your chatbot runs on Next.js 16 with streaming Server Actions, PostgreSQL for conversation history and analytics, and Payload CMS 3 for managing knowledge base content. The same architecture powers our own sales chatbot — handling real customer conversations daily.
AI-Native Team
Our own website runs a Claude-powered sales agent that handles real customer conversations. We've optimized prompt engineering, context management, and fallback logic through thousands of production interactions — not just sandbox testing.
Self-Hosted Infrastructure
Self-hosted infrastructure means your data stays where you control it. No vendor lock-in to SaaS platforms that can change pricing or terms. Full PostgreSQL audit trails, your own backups, and GDPR compliance built into the architecture.
End-to-End Delivery
Strategy, architecture, development, deployment, and ongoing support — all from one team. No handoffs between consultants, designers, and developers. The engineers who build your system are the same ones who maintain it.
Automation-First Operations
Our own operations are automated end-to-end: CI/CD pipelines, infrastructure monitoring with Telegram alerts, daily database backups, automated content publishing, and AI-assisted development workflows. We build automation for clients because automation is how we run our own business.
Transparent Fixed Pricing
Fixed-price projects with clear milestones and deliverables. You approve each phase before we proceed to the next. No open-ended hourly billing, no scope creep surprises. Ongoing support is a separate, transparent monthly agreement.
Frequently Asked Questions
How much does conversational commerce cost?
Single-channel starts at $20,000-$35,000. Multi-channel ranges from $35,000-$60,000. Enterprise costs $60,000-$100,000+. Per-conversation costs average $0.05-$0.20.
What e-commerce platforms do you integrate with?
Shopify, WooCommerce, Magento, BigCommerce, and custom platforms via API.
How does the AI handle product recommendations?
Combines collaborative filtering, content-based filtering, and conversational understanding — mimicking a knowledgeable salesperson.
Can customers complete purchases inside WhatsApp?
Yes. WhatsApp supports catalogs, cart management, and payment links for full in-app purchasing.
How do you measure ROI?
We track assisted vs. unassisted conversion rate, AOV, return rate, and ticket deflection. Most show positive ROI within the first month.
Ready to Implement Conversational Commerce?
Tell us about your needs and we'll design a custom conversational commerce solution for your business.
Free consultation · Custom solutions · Expert team