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Kober, Romania’s leading manufacturer 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.
Operators and admins have access to a centralized dashboard that monitors and analyzes all user interactions. Through conversation labeling and structured analysis, we can continuously improve the agent over time, leading to smarter responses and an even more delightful customer experience for its customers.
The paint and coatings industry faces multiple challenges 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.
Because Romania’s market mixes professional contractors with individual DIY customers, the conversational AI had to be intuitive 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 ensure trust and familiarity.
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Kober faced a recurring challenge common to companies with extensive and highly technical products. Their diverse customer base, from professional contractors to DIY homeowners, often struggled to understand the differences between similar products and to identify which one best suited their specific needs.
Each product came with dense technical sheets filled with color 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 operators, 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.
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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 work together through a single conversational interface, creating the experience of interacting with multiple specialized consultants, but with the speed, accuracy, and accessibility of an AI-powered assistant.
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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.
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 and compliance records.
Throughout development, we defined clear evaluation metrics to ensure performance and reliability, including:
Each of these metrics achieved an average of over 97% accuracy, validating the system’s reliability and real-world applicability.
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 operators and admins with actionable analytics.
We also focused on crafting a seamless user journey, where customers received expert-level guidance through natural interactions, while administrators gained actionable analytics to continuously optimize the overall customer experience.
Kober's multi-agentic AI system 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 has the potential to reduce friction in the buying process, boost customer satisfaction, and improves conversion potential. For Kober, this meant not only supporting customers better but also continuing to position 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 providing high value to customers.
Companies that benefit from this conversational AI solution are 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 CMS 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 admins and operators, the features available are advanced conversation analytics, real-time sentiment tracking, and customer experience statistics.
