Case Study - AI System to Create Beautifully Designed Personalised Brochures at Scale
To develop an AI system that generates hyper-personalised brochures in minutes, transforming how SCCS engages prospects and helps customers find the right surveying equipment for their projects.
- Client
- SCCS, part of Hexagon
- Year
- Service
- SCCS, part of Hexagon

Our client
SCCS, part of Hexagon, is a specialised technical company that rents, sells, and services a wide range of surveying, scanning, measurement, analytical, and monitoring solutions.
They take pride in offering a diverse selection of high-quality products from some of the world's leading manufacturers, including Leica Geosystems, for whom they serve as an authorised distribution partner and accredited service center.
With years of experience providing quality service to the civil engineering, surveying, and construction industries, SCCS continually evaluates and updates its portfolio of equipment for surveying, monitoring, scanning, and other geo-referencing products, solutions, and services.
Our challenge
SCCS recognised an opportunity to enhance their website navigation to better support customers in exploring their extensive product portfolio. With a wide range of specialised surveying instruments and software solutions tailored for specific use cases and technical requirements, they aimed to empower customers to easily identify the optimal equipment for their projects.
By simplifying this process, SCCS sought to reduce reliance on the sales team's expertise, enabling customers to find the right solutions efficiently and confidently. This initiative was aimed at creating a more seamless and enjoyable experience for all users.

Our approach
Seeai worked in collaboration with SCCS to develop an AI system that generates hyper-personalised brochures in minutes, transforming how SCCS engages with prospects.
To make this system a reality, we undertook several key initiatives:
-
Deep Industry Immersion: The Seeai team invested in comprehensive technical training at Leica Geosystems Training School. This hands-on experience provided crucial insights into:
- Real-world application scenarios for different surveying equipment
- Technical requirements across various project types
- Common challenges faced by surveyors in the field


-
Knowledge Engineering: We developed a sophisticated knowledge graph using Neo4j to capture the complex relationships between:
- Products and their technical specifications
- Use cases and industry applications
- Project requirements and equipment capabilities
- Complementary product combinations
-
AI System Architecture: We designed a multi-component system that combines:
- Large Language Models (LLMs) for natural language understanding and content generation
- Knowledge graph querying for precise product matching
- Dynamic document generation for creating personalised materials
The results
We delivered an AI system that generates hyper-personalised brochures in minutes, transforming how SCCS engages prospects.
Our AI solution provided several key features:
-
Natural Language Processing: Customers describe their project in plain English (e.g., "3D mapping for a heritage site restoration"), and the LLM extracts critical requirements.
-
Context-Aware Product Matching: The system identifies ideal products by analysing similarities to past projects in the knowledge graph, ensuring recommendations are both technically and contextually relevant.
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Automated Generation of Personalised Polished Brochures featuring:
- Project-specific product recommendations
- Relevant case studies and application examples
- Technical specifications contextualised to the customer's needs
- Complementary product suggestions

Future potential
- Enhanced Customer Experience: Prospects receive precise, easy-to-understand recommendations, shortening sales cycles.
- Targeted Follow-Up: Automated email delivery of brochures enables timely engagement with leads, including Training School attendees and webinar participants.
- Expansion of the knowledge base with new products and use cases
- Analytics on customer requirements and product recommendations
- Automated updates to reflect new product launches and specifications
This project demonstrated how AI can transform complex technical product selection into an intuitive, personalised experience while maintaining the high standards required in professional surveying equipment specification.
- AI Systems
- Knowledge Engineering
- LLM Integration
- Document Automation
'Working with Seeai to develop an AI system for SCCS has been an insightful experience. Their innovative approach to creating personalised brochures at scale could significantly enhance our ability to engage with customers. By leveraging advanced technologies such as LLM and knowledge graphs, SEEAI has enabled us to create precise, context-aware product recommendations tailored to individual project needs. Hopefully, this will streamline our sales process and enrich the customer experience, allowing them to make informed decisions confidently. Saile and Reo's dedication to understanding our industry and their commitment to delivering a solution that meets our high standards have been impressive. I am excited to see how this solution will develop, evolve, and support our mission of providing top-tier surveying solutions.',

UK Digital Marketing Manager