SMART CHATBOT

Within the “Smart Market” challenge, Finvalia has developed a multilingual chatbot based on language models (LLM) that transforms the complexity of natural wood into immediate and accurate answers. Its mission: to support a global sales network that needs to respond about prices, qualities, formats, or delivery times… even from a mobile phone.

How the chatbot works

Specialized error-free training. The bot is powered by thousands of design manuals, veneer datasheets, price lists, and Finsa’s internal stock levels, not by generic internet sources.
Multi-agent architecture. Several sub-models collaborate: one queries the ERP, another the stock Excel file, and another interprets design standards, assembling the optimal response.
Integrated computer vision. An additional module analyzes images and searches for similar products in the catalog in real time.

Examples in action

Cost of a luxury hotel kitchen. A professional asks: “How much would a kitchen unit for a luxury hotel cost?” The multi-agent system locates the right wood species, checks veneer stock availability, calculates the required surface, and returns a price and delivery estimate within seconds.
Image-based search. The client sends a reference photo; the chatbot identifies the design and suggests the most similar available veneers, automatically triggering the sales process.

Measured impact

Response speed: queries that used to require several calls are resolved in under one minute.
Improved customer experience: the user obtains reliable and visual data in seconds.
Internal efficiency: expert staff are freed up for higher-value tasks.

What’s next?

Recommend preferred offers based on availability and commercial margin.
Full integration with ERP and CRM to automatically register opportunities and orders.
Phased rollout: pilot operating in the Northwest Delegation and expansion to the rest of the sales network in 2026.

With this development, Finvalia turns any salesperson into a wood expert, strengthens customer trust, and takes a decisive step towards a truly smart market.