vetsak

Turning customization into conversion

An AI-driven assistant transformed Vetsak’s 3D configurator into a guided sales experience – turning choice overload into effortless, high-value decisions.

When personalization meets indecision, most users give up.

For Vetsak, nearly 40% of visitors left their 3D configurator midway – not because the product wasn’t appealing, but because choosing the perfect sofa felt overwhelming.
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People loved the freedom of choice. They just needed a little guidance to turn it into confidence.

To solve this, we empowered users directly. We delivered a suite of highly focused, dedicated solutions – microtools designed for key decision points along the shopping journey.

Business Goals

Revenue
Growth

Customer Experience Transformation

Success Metrics (KPI)

Recommendation accuracy

Cart abandonment rate

Average order value (accessories)

Key Experience Indicators (KEI)

User’s indecisiveness

Engagement

Key Experience Indicator No. 1

Decision-making without the fatigue

Instead of adding another chatbot, we introduced something smarter for Vetsak – a context-aware, agentic assistant seamlessly embedded in their 3D configurator.

It transformed conversation into a guided experience.
By asking about lighting, pets, and room size, it guided users toward the perfect combination of fabrics, layouts, and accessories — all while keeping the experience beautifully simple and visual.

How we achieved it: limiting user indecision

Goal-Oriented Workflow

The process asks about the user's needs (e.g., "What is the room like?"), not product specifications.

It acts as a smart advisor, responding to user goals and concerns to provide precise and relevant purchase advice. This agentic logic is designed by an AI Business Analyst and is distinct from the standard user journey.

Intuitive UX & GUI

Clicking, not writing is the primary interaction.
Visuals (photos, video) replace heavy text.
A 3D Configurator presents choices and updates in real-time, building confidence.

Why it matters: transforming the user journey

Reduces Cart Abandonment

Effective, real-time recommendations solve the main cause of abandonment – decision paralysis and uncertainty.

Tangible Results

Interactive AI tools guiding the decision process can reduce abandonment rates by 15–40%.

Builds Confidence

The immediate visual feedback from the configurator allows customers to feel certain about their choices without needing to leave the page for external research, resulting in a potential 15–25% reduction in abandoned carts.

Key Experience Indicator No. 2

Achieving playfulness through multimodality

The assistant wasn’t just conversational — it was multimodal.
Users could slide, tap, or click their preferences through microtools that replaced typing with natural, one-click interactions.

Each choice was instantly reflected in 3D.
No endless menus. No reloads. Just flow.

How we achieved it: integrated, gamified experience

Integrated User Experience

The AI Assistant's graphical interface (GUI) and the 3D Configurator work as a single, seamless experience.

Gamification Elements

We encourage the user to actively and playfully engage with the Assistant, turning the selection process into an engaging game.

Real-Time Synergy

The Assistant instantly influences the 3D Configurator in real-time.

Visual Interactions

Typing is completely eliminated; interactions rely on slides, taps, and clicks.

Why it matters: boosting engagement and conversion

Increased Engagement via "Flow State"

The seamless integration, where a simple interaction with the AI Assistant immediately modifies the 3D Configurator, creates an addictively interactive experience. Customers enter a "flow state" of engaging choices, losing track of time while exploring options.
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This approach offers a potential 10–20% reduction in Bounce Rate.

Higher Conversion Through Easy Decisions

Multimodal interaction removes friction at the level of every micro-decision. Users can click, use sliders, or write, depending on what feels most natural at that moment.

Key Experience Indicator No. 3

Reducing users' indecisiveness about accessories

Once users trusted the assistant’s reasoning, upselling happened naturally. Instead of pushing, it recommended: matching pillows, throws, or layouts that felt like part of the same story.

This shift, from transaction to conversation, turned personalization into an emotionally rewarding experience.

How we achieved it: increasing accessory sales

Trust-Based Upselling

Trust is established through successful, accurate advice provided in earlier stages.

Personalized Curation

The system offers personalized selection of materials and color coordination.

Contextual Suggestions

Sofa templates are matched to customer preferences, and accessories are suggested as a natural extension of the current choices.

Agentic AI-UX

A visual Graphical User Interface (GUI) for accessory selection eliminates the need for text input.
Seamless integration with 3D configurators ensures instant visualization of all suggested items.

Why it matters: building trust and increasing AOV

Increased Recommendation Accuracy

Multimodal interactions – combining natural language understanding of complex needs (e.g., "modern yet cozy furniture for small spaces") with visual micro-interactions (color swatches, material previews) – allow the AI to genuinely understand the user's intent.

Building Trust Leads to Conversion

Accurate recommendations form the foundation of trust necessary for successful upselling. When customers receive relevant suggestions – matched materials, accessories, or complete room configurations – they perceive it as helpful consultancy, not aggressive sales tactics.

Business Impact: Average Order Value (AOV)

This strategy has the potential to increase revenue by 10–20%.

To make it happen, lean delivery was inevitable

To make it happen, we took a lean approach. We prepared a Lean investment implementation plan, with defined costs, impact, and a deployment roadmap. We tested the hypotheses, selected the most promising ones, and implemented them.

Step 1

Defining Goals, KPIs, and KEIs

Within one week, team and management discussions led to an improvement plan, rapid prototypes, and 40 hypotheses.

Step 2

Proof of Concept (PoC)

In one week, we validated feasibility, revised the plan, and secured funding for further work through quick wins.

Step 3

MVP

Within one month, we deployed a solution that improves 3 key KPIs, which we are currently expanding upon.

Delivering a showroom-like shopping flow

We executed a strategic transition from a rigid, linear process to an adaptable, non-linear multi-agent workflow. This shift allows us to bypass fixed sequences, driving maximum efficiency and accelerating the delivery of key business impact.

Linear Workflow

Multi-Agent Workflow

Reimagining furniture commerce through innovation

Every part of the experience was crafted to minimize cognitive load and maximize trust.

Agentic guidance, not rigid flows – adapting to each user’s intent.

Real-time integration with Shopify and the configurator, ensuring perfect synchronicity.

Instant feedback loops, so users felt in control without effort.

Visual microtools, eliminating typing friction.

This seamless integration, where chatting with the AI Assistant instantly modifies the 3D configurator, creates addictive interactivity. Customers enter a playful "flow state" where they lose track of time exploring options.

Expanding the experience

Vetsak’s journey doesn’t stop here. The next chapter focuses on taking personalization even further –

with visual onboarding that analyzes a photo of the client’s room to adapt fabric and color suggestions to real lighting conditions,

and AI-generated moodboards that create tailored design inspirations around each user’s style.

The assistant is also preparing to support new markets, starting with French, Spanish, and Italian.

Ready to turn your online store into a showroom-like experience?

Book a free consultation today