Our Expertise
What Are Conversational AI Agents for eCommerce?
Conversational AI agents for ecommerce are real-time engagement systems that connect directly to your product catalog, inventory, and order data. They understand shopper intent, pull accurate product information, and respond to questions at the exact moment they arise, without a support team in the loop.
Unlike static product pages or scripted chatbots, conversational AI agents adapt to what each shopper is asking. This allows ecommerce teams to deliver accurate, personalized guidance at scale without adding headcount or slowing down the buying journey.
3x
higher shopper engagement
28%
lift in average order value
55%
fewer abandoned carts
2x
faster path to purchase
70%
queries resolved instantly
Why Your Business Needs Conversational
AI Agents
Higher Conversions
Sales suffer when shoppers can't get answers fast enough. AI agents engage at the right moment, resolve queries instantly, and recommend relevant products within the conversation.
Reduced Purchase Hesitation
Compatibility questions, sizing doubts, and shipping concerns stall purchases. AI agents resolve these before the shopper leaves.
Better Product Discovery
Shoppers miss products they can't find through search alone. AI agents guide them through your catalog based on their specific needs.
Stronger Repeat Purchase
AI agents follow up post-purchase, provide order updates, and bring customers back without your team managing each interaction.
How We Work
Our Implementation Process
Discovery & Audit
The engagement starts with a review of your customer touchpoints, existing tools, and platform setup to identify where conversational AI can have the most impact.
Conversation Design
Shopper journeys, common question patterns, and high-drop-off moments are mapped to define exactly where and how AI agents will engage and convert.
Data & Catalog Integration
AI agents connect to your product catalog, inventory, and order data so every shopper interaction is backed by accurate, real-time information.
Platform Deployment
Configured agents go live across your storefront, checkout flow, and post-purchase touchpoints, fitting into your existing ecommerce setup without disruption.
Monitoring & Ongoing Support
Conversation quality, resolution rates, and revenue impact are monitored after launch, with ongoing refinements keeping performance on track as your business grows.
Ready to Turn Every Shopper Interaction Into Revenue?
Every ecommerce store has friction points that cost sales. Klizer's revenue audit identifies exactly where shoppers are dropping off and maps the right conversational AI deployment to address them.
Build vs Buy: Why Custom AI is Right For You
Off-the-shelf
Klizer Custom Build
Catalog understanding
Generic product data only
Built for complex manufacturing catalogs, part numbers & configurations
B2B pricing logic
Not supported
Contract pricing, bulk orders, and account-specific rates handled natively
Training data
Vendor's generic model
Trained on your actual order history, customer behavior, & product data
Integration
Limited, pre-defined connectors
Connects to your ERP, PIM, OMS, and ecommerce platform
Search & discovery
Keyword matching
Intent-based, handles technical queries and compatibility questions
Pilot validation
Not offered
Results validated against your baseline before full rollout
Post-launch support
Vendor helpdesk
Klizer monitors, refines, and optimizes continuously
Outcome ownership
Vendor controls the roadmap
Built around your metrics, your buyers, your business
Why Choose Klizer?
eCommerce-First AI Deployment
Klizer's conversational AI agents are built on deep ecommerce knowledge, so every deployment is mapped to how shoppers buy, ensuring interactions stay relevant and conversion-focused.
Built for High-Volume Stores
Klizer's team is experienced with large catalogs, complex customer journeys, multi-channel selling, and the conversion challenges that come with scale.
Fits Into Your Existing Stack
Conversational AI agents integrate directly with your ecommerce platform, PIM, CRM, and order management systems without disrupting your current operations.
Enterprise-Grade Data Security
Every implementation includes end-to-end encrypted data handling, secure storage, and full compliance with GDPR and applicable regulatory standards worldwide.
Long-term Post-launch Support
Klizer stays on after launch, continuously monitoring conversation quality, flagging issues early, and refining agent performance as your business continues to grow.
Discover the journeys we have impacted
We've worked with manufacturing and distribution businesses across the globe, helping them solve real challenges and grow with confidence. Browse through our client success stories to see the difference we've made.
Client Experiences, in Their Words
We have been a partner for Klizer for five years now, and the experience has been terrific. They have been an excellent partner to help us grow and sustain our business.
Ryan Van Hoozer
VP of Operations,
Marysville Marine Distributors
Klizer’s communication skills were above and beyond what I have
experienced with vendors. The relationship was such a great fit that we brought on Klizer employees in-house to work with us directly.
Dan Schuessler
Digital Project Manager,
Riddell
Klizer delivered a high-functioning website that perfectly coordinates with our company branding while enhancing our ecommerce capabilities for our customers
Jennifer Krach
Vice President Sales, Marketing, &
Customer Service, C-Line
FAQs about Conversational AI Agents for eCommerce
What is the difference between a conversational AI agent and a chatbot?
Chatbots are built around fixed scripts. They handle what was anticipated.
On the other hand, conversational AI agents understand intent, retain context across the conversation, and respond accurately regardless of how the question is phrased or what it covers.
How do conversational AI agents increase conversions?
Most drop-offs don’t show up as a problem until you look at the numbers. A shopper asks a question, and if no one answers it, they leave. AI agents close that gap by engaging at the exact moment hesitation appears and resolving the query before the shopper exits.
Which touchpoints in the customer journey can AI agents cover?
It can cover every stage where a shopper can stall or drop off. In practice, that means product discovery, comparison, checkout, post-purchase queries, and repeat engagement, or any point where an unanswered question costs you a sale or a customer.
How do AI agents handle product discovery and recommendations?
Shoppers often can’t find what they need through search and filters alone, especially in large catalogs. AI agents connect directly to your product data and guide shoppers to the right product based on what they’re actually asking for, not just keyword matches.
Will it work with my existing ecommerce platform?
Integration requirements are assessed during the discovery phase and configured to fit your existing platform, PIM, CRM, and order management systems. The deployment is built around what you already have, not the other way around.
How long does implementation take?
Implementation timelines depend on catalog size, data availability, and the complexity of your existing systems. Our team works through a structured process from data connection to deployment, and will give you a realistic timeline after the initial discovery and audit.
What happens when the AI can't answer a question?
The query escalates to a human agent without disrupting the shopper experience. The full conversation context carries across, so the shopper doesn’t have to repeat themselves, and the handoff is invisible from their end.
Can AI agents handle both pre-purchase and post-purchase interactions?
Yes. Pre-purchase, AI agents handle product questions, comparisons, and checkout friction. Post-purchase, they manage order updates, delivery queries, and follow-up engagement. Both run through the same system without separate tools or workflows.
How do conversational AI agents reduce cart abandonment?
Abandonment at checkout is almost always triggered by an unanswered question about shipping cost, delivery time, or return policy. AI agents resolve these in real time, before uncertainty turns into an exit.
Is this a one-time setup or does it need ongoing management?
Treating it as a one-time setup is one of the more common mistakes. Shopper behavior changes, catalogs grow, and new friction points appear. Klizer monitors performance after launch and refines agent behavior continuously so conversion rates don’t quietly slip over time.
