AI Live Shopping Assistant
A hyper-realistic AI avatar for a European fashion brand. Greets every visitor, shops the catalogue with them, and guides from hello to cart. Sales up 29%, customer satisfaction up 62% in 90 days.
The challenge
The brand had strong products and strong brand equity, but the ecommerce experience left visitors to figure things out on their own. Standard chat widgets felt cold. Product filters were fine for people who already knew what they wanted, but poor at helping the much larger group of browsers who did not.
The brand wanted to bring the feel of an actual boutique visit into the website. Someone who greets you at the door, understands what you are looking for, and helps you find it. Not a chatbot that answers FAQs, and not a generic AI overlay that ignores the brand.
The commercial goal was clear: lift conversion rate and average customer satisfaction, without diluting the brand or handing the customer relationship to a third-party platform.
What Klevere built
A custom low-latency AI avatar system, trained on the full brand context and product catalogue, deployed as a live shopping assistant across the site.
Hyper-realistic AI avatar
A visually and vocally lifelike avatar greets every visitor to the site. Not a chat bubble, not a text-only bot. A presence that looks and sounds like a real store associate, sized to feel like a proper welcome without dominating the page.
Low-latency real-time interaction
Sub-second response times on both text and voice. The avatar responds fast enough that the conversation feels natural, not like waiting for a chatbot to think. Latency is the difference between visitors engaging and visitors closing the tab.
Deeply brand-trained
The avatar was trained on the brand book, positioning, tone of voice, do's and don'ts, and edge-case guardrails. It sounds like the brand at every turn, refuses to go off-message, and gracefully deflects questions outside its remit.
Full-catalogue product intelligence
Trained on the entire live product catalogue including SKU details, fit notes, materials, care instructions, and stock availability. When a visitor asks about a product, the avatar knows what to recommend and what to warn against based on real inventory.
Multimodal query handling
Visitors can ask in natural language ("looking for high-waist jeans in navy") or upload a reference image of an item they like. The avatar analyses the image, understands the visual intent, and returns the closest matches from the brand's own catalogue in seconds.
End-to-end shopping journey
The avatar guides the visitor from the moment they land, through browsing, size and fit questions, styling suggestions, and directly into pushing items to the cart. No handoff to a separate flow. One continuous, guided experience.
The build process
Six weeks from kickoff to launch. Each phase built on the previous one; each was signed off before the next began.
Discovery and brand immersion
Klevere ran a scoped discovery covering the brand's customer journey, catalogue architecture, tone of voice, and the specific conversion friction the site was hitting. We mapped where visitors dropped off and where an avatar-led experience would move the needle.
Brand and guardrail training
The avatar was trained on the brand book, positioning, do's and don'ts, and a comprehensive set of guardrails. What it will and will not say. How it handles off-brand requests. How it deflects when a visitor tries to test the boundaries. This work is the difference between an on-brand experience and a PR risk.
Custom avatar build
Klevere designed the custom low-latency avatar system: appearance, voice, expression range, and interaction pattern. Every component was tuned so the presence felt lifelike, warm, and unmistakably part of the brand rather than a generic template.
Catalogue and image intelligence integration
The avatar was wired into the live product catalogue for real-time product knowledge, and to an image-analysis pipeline that could match visitor-uploaded photos to the closest items in the brand's inventory. Both text and image queries return matches in under a second.
Staged rollout and A/B measurement
The avatar was rolled out in stages so the brand could compare conversion and satisfaction against a control group. Weekly reviews looked at what visitors asked, where the avatar excelled, and where prompts needed tuning. Every improvement was measured against the control before the next stage rolled out.
Live tuning and expansion
Post-launch, Klevere runs ongoing monitoring and tuning. New products flow into the avatar's knowledge automatically. Guardrails are updated as the brand evolves. Prompts get refined based on real visitor conversations. The avatar keeps getting sharper as more visitors interact with it.
The results
Within the first 90 days of full rollout, the avatar delivered a 29 percent uplift in sales and conversion measured against the pre-launch baseline. Customer satisfaction, tracked through post-purchase and post-interaction scoring, improved by 62 percent over the same window.
Beyond the headline numbers, the avatar changed how visitors moved through the site. Session depth increased. Time to first product view dropped. Cart abandonment for visitors who engaged with the avatar was materially lower than the site average. The image-upload path in particular converted at rates the brand had not seen from any prior on-site experience.
The brand kept full ownership of the customer relationship. No visitor data leaked to a third-party platform. Every recommendation the avatar made came from the brand\'s own catalogue, in the brand\'s own voice, respecting the brand\'s guardrails.
“It is the first time a piece of technology on our site feels like an extension of the brand rather than a bolted-on tool. The avatar sounds like us, knows the catalogue better than half the team, and it never once said something we would have to apologise for.”
Head of Ecommerce, European fashion brand
Want an AI live shopping assistant for your brand?
The template generalises across fashion, beauty, homeware, and adjacent verticals. The specific look, voice, and interaction pattern is scoped per brand. The free AI audit gets you a written opinion on what an avatar-led experience would look like for your specific site and catalogue.
Frequently asked questions
What made the avatar different from a standard chatbot?
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The avatar is a visible, expressive presence with lifelike voice, not a chat bubble. Response latency is under a second so the conversation feels natural. And critically, it was trained on the full brand context (voice, positioning, guardrails) and the live product catalogue, so it acts like an informed store associate rather than a generic Q&A widget.
How did the image-search feature work?
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Visitors could upload a photo of an item they liked. The avatar analysed the image (colour, shape, silhouette, category, style cues), matched it against the brand's own catalogue in real time, and returned the closest available items with reasoning. If the image showed a competitor product, the avatar returned the closest equivalent from the brand catalogue without ever discussing the competitor by name.
How were the guardrails designed?
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Guardrails were designed collaboratively with the brand team. They cover what the avatar will and will not say, how it handles off-topic requests, how it deflects attempts to jailbreak the persona, and how it escalates edge cases. Every guardrail was tested against adversarial prompts before launch and revised weekly based on real visitor interactions.
What was the ROI timeline?
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Sales and conversion uplift of 29 percent was measured within 90 days of full rollout. Customer satisfaction improvement of 62 percent was measured over the same window against the pre-launch baseline. The build itself was around six weeks of scoped work; ROI became visible in the first month and matured over the second.
Could you build something similar for our brand?
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Yes. The template of a hyper-realistic AI avatar trained on brand + catalogue + guardrails, deployed as a live shopping assistant, generalises well across fashion, beauty, homeware, and adjacent verticals. The specific look, voice, and interaction pattern is unique per brand. Klevere would scope your specific build during the free AI audit.
What technology did Klevere use to build the avatar?
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Klevere built a custom low-latency avatar system tailored to this brand's needs. Every component (avatar rendering, voice synthesis, LLM reasoning, catalogue retrieval, image analysis) was selected and tuned for the specific latency, quality, and brand-fit requirements. The stack details are scoped per client during discovery.