Bohlins Maskiner partnered with Algorithma to simplify product selection in a highly complex spare parts catalog using AI.
The Challenge
Bohlins Maskiner offers a wide range of machinery, documented across multiple catalogs containing hundreds of products and large tables of detailed technical specifications. When customers asked which part they should buy, identifying the correct article was time-consuming and required deep product knowledge. The complexity made it difficult to deliver fast, accurate answers and scaled poorly as the product range and customer inquiries grew.
Our Solution
Algorithma built Ubbe, an AI-powered agent tailored to Bohlins Maskiner's product catalogs. We used AI to analyze and understand the full catalog structure, extracting and transforming unstructured technical data into structured, searchable information. Ubbe allows users to ask questions in natural language and instantly receive recommendations for the correct product based on technical requirements and use cases.
Key Results
“Algorithma helped us turn a complex spare parts catalog into something our team can navigate more easily. With Ubbe, we can answer product questions faster, recommend the right part, and reduce the time spent searching through specifications. It's a practical AI solution that scales.”
Technologies & Methods
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