Interactive AI-Powered 3D Configurator

Client NameL'Atelier Paris

Client CountryUSA

  • Client typeSME
  • IndustryManufacturing
  • Application areasManufacturing & Production, Marketing, Sales & Customer Engagement, Operations & Process Automation
  • AI technologiesConversational AI (chatbots, voicebots), Large Language Models (LLMs), Natural Language Processing (NLP)
  • Business impactsCustomer Experience & Market Growth, Employee Enablement & Productivity
  • Data types3D Data, Documents / Semi-structured Data, Image Data, Structured Tabular Data, Textual Data
  • Delivery modelsCustom Development, Product / Licensed Software, Service / Subscription
  • DeploymentsCloud
  • Key capabilitiesConversational & Language Interaction, Recommendation & Personalization
  • Project stagesScaling / Expanded Implementation
  • Solution formsAutomated Backend Process, Conversational Interface

Solution Description

Problem description

L’Atelier Paris offered highly personalized luxury kitchens and appliances, but the configuration process was mostly manual, making it complex and time-consuming for customers. Potential clients had difficulty visualizing the final product, and the sales team spent hours explaining available options. This resulted in a lengthy sales cycle, lower conversion rates, and the risk of losing customers during the decision-making phase. It was therefore crucial to create an interactive solution that simplified kitchen design and supported sales efficiency.

Solution

Salsita developed a fully interactive 3D configurator with a conversational UI, allowing customers to visualize, modify, and combine every aspect of a kitchen in real time — from colors and materials to appliances and layout. The AI not only executes commands but also responds to prompts such as “I like French food”, automatically checks design feasibility, and eliminates incompatible options. The configurator is integrated with both the sales process and manufacturing, so selected parameters can be directly ordered. The solution automates previously manual tasks, shortens customer decision-making, and strengthens confidence in the purchase.

Main Users of the Solution

End customers (B2C), the L’Atelier Paris sales and business team, kitchen designers, and architects

Project timeframe (months)

10

Additional services

  • AI strategy and roadmap
  • Audit / feasibility study
  • Identification and prioritization of suitable use-cases
  • Data collection and pre-processing
  • Annotation / synthetic data / dataset extension
  • Data governance and data quality
  • AI model selection and customisation
  • Change support and user training
  • Systematic AI training programmes
  • Compliance/regulatory support
  • Ongoing maintenance and retraining of the model

Implementation

Project Owner on the Client's Side

C-level leadership

Participation on the Client's Side

  • Business / Product Owner
  • Domain / process experts
  • Software & Data Engineering / IT Ops

Form of Supplier Involvement

Full implementation

Operation and Maintenance

Operational Model

Internal team

Needed Competencies on the Client's Side

Sales, Marketing, IT, Product & Design Manager

Other Resources or Infrastructure

3D models are required. Costs include a setup fee + monthly maintenance subscription; AI usage charged per token volume.

Impact and Results

Qualitative Benefits

The configurator brought higher brand consistency and enabled users to configure, visualize, and generate quotes independently, without unnecessary sales team involvement. Customers now have a showroom-like experience online, improving user experience and engagement. As a result, the sales team can handle more leads without increasing costs.

Client Feedback

“I’ve never experienced the delivery team living up to the sales team’s hype, but in Salsita’s case, they actually exceeded it.” — Ricardo Moraes, CEO of L’Atelier Paris

Lessons Learned and Recommendations

Key Success Factors

A design sprint and multidisciplinary team (product management, UX, engineering, digital strategy) enabled precise alignment with the brand, customer journey, and functional requirements at the start of the project. The quality of 3D models, strong collaboration with the client, and a robust rules engine were critical.

Biggest Challenges

The complexity of products required exact configuration and high visual fidelity, placing strong demands on parameters, visualization, and the customer interface. Ensuring brand consistency online and the right UX was key to maintaining premium perception in digital channels. Guaranteeing the absence of AI “hallucinations” was also critical.

Recommendation for Others

Start with a design sprint — an intensive workshop to understand the brand, customer journey, and requirements — which simplifies later phases. Invest in a parametric engine and AI assistant to enable flexible yet technically correct configurations. UX and visuals must reflect the brand — even a digital configurator should match the aesthetics of a physical showroom. Choose a partner with experience in e-commerce, UX design, and robust development to avoid losses from failed implementations.

Promotion

Stay informed with CNAIP. Subscribe to our regular mediamonitor and never miss an update in the world of AI. We’ll deliver a digest of the most essential news straight to your inbox.

By subscribing, you agree to our Terms of Service.

© cnaip 2026

Want to become a part of Czech AI?

Share your story and showcase what you can achieve with artificial intelligence. Your involvement will inspire others and help us map out the Czech AI scene in its entirety.