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Kober, one of Romania’s leading manufacturers of paints and varnishes, needed a solution that could simplify customer navigation across a broad, technically complex product range. From decorative paints to industrial coatings, each product required clear usage guidance based on surfaces, conditions, and intended applications.
To solve this, Linnify developed a conversational intelligent agent capable of replicating the interaction with a real consultant. The AI-powered assistant provides personalized product recommendations, application instructions, and document lookups (technical sheets, compliance files), making technical data accessible in real time.
For administrators, the platform offers a centralized dashboard to analyze conversations, assign labels, and continuously improve responses — creating a cycle of continuous learning and optimization.
The paint and coatings industry faces multiple hurdles in customer experience:
The conversational agent was developed for the Romanian market, supporting both end consumers and business customers who rely on Kober’s wide product portfolio. The assistant helps non-technical users quickly identify suitable decorative products while guiding professionals through detailed technical specifications for industrial applications.
Because Romania’s market mixes professional contractors with individual DIY customers, the conversational AI had to be intuitive, multilingual-ready, and user-friendly, while still providing advanced technical depth for expert users. Aligning the assistant’s tone of voice with Kober’s brand identity was also critical to build trust and familiarity.
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Kober, one of Romania’s leading paint and varnish producers, faced a recurring challenge common to companies selling highly technical products online. Their customers, ranging from professional contractors to DIY homeowners, struggled to navigate extensive digital catalogs containing hundreds of products.
Each product came with dense technical sheets filled with compliance codes, chemical compositions, and precise usage conditions, making it difficult for non-experts to identify the right product for their specific needs.
Traditional chatbots were not designed for this level of complexity. Most existing solutions could only provide generic answers or redirect users to static catalog pages.
They were unable to interpret nuanced questions, recommend products for unique surface types or environmental conditions, or guide customers through proper application steps.
For administrators, this gap created inefficiency and lost opportunities. Customer service teams were burdened with repetitive queries, manual document retrieval, and time-intensive guidance, slowing response times and making it harder to scale personalized support as Kober’s customer base grew.
In short, the absence of an intelligent support system risked frustrating customers, increasing abandonment rates, and reducing conversion from catalog browsing to actual purchase.
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To overcome these challenges, Linnify developed an agentic conversational AI solution tailored specifically to Kober’s product ecosystem. Rather than relying on a single, general-purpose chatbot, the system was built as a network of specialized AI agents, each responsible for a distinct domain of expertise.
All these agents are orchestrated into a single conversational interface, replicating the experience of speaking with multiple expert consultants, but with the convenience and immediacy of an AI-driven assistant.
On the administrative side, Kober teams gained access to a powerful analytics dashboard. This included role-based access control, conversation logs, labeling tools, and sentiment analysis. By continuously monitoring interactions, administrators could uncover customer pain points, evaluate product interest trends, and feed back insights into improving both the AI assistant and the broader sales process.
This system introduced continuous real-time learning, ensuring that the assistant became smarter with every interaction, ultimately driving higher customer satisfaction, better conversion rates, and operational efficiency.
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Linnify acted as the end-to-end innovation partner, responsible for designing and delivering the full conversational AI architecture. Our role extended beyond technical implementation, we ensured that the assistant was fully aligned with Kober’s brand voice, digital strategy, and long-term business objectives.
Our team applied deep expertise in agentic AI systems, UX/UI design for conversational experiences, and product strategy for complex technical ecosystems. We designed specialized AI agents capable of interpreting nuanced, domain-specific queries that traditional chatbots could not manage. By leveraging advanced knowledge ingestion pipelines, we ensured that the assistant could draw on Kober’s technical documentation, compliance records, and CRM insights.
We also focused on creating a seamless user journey, where customers received expert-level guidance through natural language interactions while administrators accessed actionable analytics to optimize customer experience
The result was not just a chatbot, but a scalable, adaptive intelligent assistant capable of transforming how Kober engages with its customers online.
We applied expertise in AI-driven conversational systems, UX/UI design, and product strategy to create a solution tailored to complex sales environments. Our team ensured the assistant could deliver brand-aligned communication, handle nuanced technical queries, and empower administrators with actionable analytics.
The Kober conversational agent successfully transformed a static, complex catalog into an interactive, AI-powered customer experience. By guiding users to the right products and offering step-by-step application instructions, it reduced friction in the buying process, boosted customer satisfaction, and improved conversion potential. For Kober, this meant not only supporting customers better but also positioning itself as a forward-looking leader in the Romanian paint and varnish industry.
This project strengthened Linnify’s expertise in building conversational AI tailored for industries with highly technical and complex product ecosystems. It showed the power of multi-agent systems to replicate expert consultation digitally, while continuously improving through real-time learning.
Companies that benefit from this conversational AI solution areb the ones selling complex technical products, such as paints, coatings, or industrial materials, where customers need guided product selection and usage support.
This solution differ from traditional chatbots because, unlike generic chatbots, this solution uses multiple specialized agents to handle product recommendations, application guidance, and document retrieval with accuracy.
The system is powered by knowledge sources such as public website data, technical documentation, compliance certifications, and CRM insights.
The experience is customized for the brand through the assistant, which uses brand-specific tone, integrates seamlessly into the company’s ecosystem, and reflects the company’s communication style.
For administrators, the features available are role-based access, advanced conversation analytics, real-time sentiment tracking, and customer experience statistics.
Through labeled interactions and structured analytics, the AI continuously learns, improving accuracy and relevance with every conversation.
