AI-Powered Product Recommendation for Fishing Retail with Domain-Aware Consultation.

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.

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.

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.

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.