AI-Powered Product Recommendation for Fishing Retail with Domain-Aware Consultation.
NeuraMonks developed an intelligent recommendation engine for Fiskejournalen, combining GPT-4.0 with domain-specific data to improve shopping relevance and sales conversion.
Fiske journalen
Technologies Used




Infrastructure
AI Product Advisor
Recommends gear from 30,000+ products based on user intent and context.
Domain-Trained Chatbot
Answers questions like a fishing expert using industry-specific LLM training.
Sales-Driven Suggestions
Improves product discovery and shortens decision cycles for all user types.
USP
Fiskejournalen needed a recommendation tool that mimicked the advice of experienced gear consultants. We built an AI engine using GPT-4 and Retrieval-Augmented Generation (RAG), trained on their product catalog and domain-specific knowledge.
This allowed the system to handle both casual and advanced users—recommending gear by context like fishing type, location, and species. With Magento integration, the engine provides direct, actionable suggestions that keep inventory and pricing accurate.
It doesn’t just suggest—it explains, filters, and narrows down the right choices, improving user confidence and purchase rates.
Problem Statement
Overwhelming Product Range:
30,000+ items made browsing difficult, especially for newcomers.
No Expert Guidance Online:
In-store help wasn’t available digitally.
Lower Online Conversion:
Users lacked clarity and often exited without buying.
Solution
LLM Chat Advisor:
GPT-4 with RAG provides expert-like answers and product matches in real time.
Indexed Domain Data:
Fishing knowledge, product specs, and metadata fed into a custom retrieval system.
Magento Integration:
Dynamic syncing of inventory, pricing, and SKUs for smooth checkout transitions.
Cloud-Optimized Stack:
Fast, scalable infrastructure on AWS, handling spikes in user traffic efficiently.
Challenges
Training Depth:
Fishing-specific knowledge needed careful structuring for useful AI responses.
Scale of Products:
30,000+ SKUs required optimized search and retrieval strategies.
Response Accuracy:
Guardrails were added to keep GPT-4 focused and factual.
Platform Sync:
Magento workflows demanded tight mapping from AI outputs to actual SKUs.
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