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.

below

10%

Bounce Rate

lower

10%

Cart Abandonment

+20%

AOV

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.
‍
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.

Microtool 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.

Microtool 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.

Microtool 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.

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

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.

Experience that converts

Beyond numbers, Vetsak saw something deeper – users staying longer, exploring more, and finishing configurations with excitement rather than hesitation.

AOV

+20%

Cart Abandonment

10% lower

Bounce Rate
below

10%

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.