Recordly with Futurice: Bromma
Summary
Recordly with Futurice: Bromma
Company Size- SME
- Manufacturing
- Operations Management
- Quality Assurance & Control
Project
Project Types- Operational excellence
- Nordic countries
- English
Implementation
AI Technologies- Conversational AI & Chatbots
- Natural Language Processing (NLP)
- Google BigQuery
- Google Cloud Platform
- Google Cloud Run
- Google Dataform
- Google Gemini
- Large Language Models
- RAG Agent
No
Bromma is a global leader in manufacturing crane spreaders for harbors and port terminals. Their success isn’t just about building high-quality machinery – it’s about ensuring seamless support when service issues arise. But outdated systems were making that increasingly difficult. Their internal system for logging and diagnosing quality issues, dating back to the early 2000s,…
Solution
To tackle these inefficiencies, Bromma partnered with Recordly and Futurice to implement a retrieval-augmented generation (RAG) agent – a game-changing generative AI solution designed to streamline service operations. To ensure seamless interaction, the solution includes a user-friendly interface, allowing service engineers to engage directly with the AI agent through natural conversation. This intuitive design ensures that engineers can quickly access the insights they need, improving efficiency and decision-making. By leveraging natural language processing and intelligent search, the agent processes Bromma’s quality service reports (QSRs) and extracts relevant data points, answering key service questions instantly: What was the issue reported in this QSR? Was the issue resolved? If yes, what was the solution? The data pipelines extract and process the data into a format the agent can read and ensure that engineers can now use simple, natural-language queries to retrieve the most relevant cases. Instead of manually searching through legacy reports, now they can simply ask: Have we encountered issue X before? How do I resolve issue X? The agent doesn’t just retrieve data – but it also generates step-by-step diagnostic instructions and on-site testing procedures, helping engineers resolve issues faster and more effectively.
Outcome
1) Faster issue resolution: Service engineers can now retrieve relevant cases quickly; 2) Knowledge sharing: Enabling spread of quality knowledge around the globe without delay; 3) Scalable and future-proof: Automation eliminates inefficiencies in the service process; 4) Reduced dependency on knowing the exact characteristics of the internal system: Engineers can input queries more freely without having to think about formatting.
ROI
Contact Person
Marko Laitinen & Michaela Holmström
Recordly