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

GPT-4-powered assistant that mimics real gear experts in-store.

Trained on 30,000+ SKUs with contextual awareness (species, terrain, gear type).

Integrates with Magento for real-time pricing and availability.

Provides filtered, rationale-backed product recommendations—boosting buyer confidence.

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Fiskejournalen’s customers were overwhelmed by their extensive product catalog. While in-store staff helped guide decisions, the digital experience lacked expert input—causing decision fatigue and high drop-offs. There was no easy way for users to get personalized suggestions based on fishing type, environment, or personal preferences.

NeuraMonks deployed a GPT-4-based recommendation engine using Retrieval-Augmented Generation:

LLM Chat Advisor:

Users can describe what they need (“I’m fishing for trout in cold water”), and get product suggestions in real time.

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Domain-Trained Retrieval Layer:

Indexed specs, reviews, metadata, and expert logic enable relevant matches.

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Magento Integration:

SKU mapping, inventory status, and price syncing for actionable suggestions.

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Scalable Deployment:

Hosted on AWS, optimized for traffic surges and low-latency responses.

Knowledge Structuring:

Fishing gear data and techniques required careful formatting for LLM ingestion.

High SKU Volume:

30,000+ products needed optimized vector search and latency tuning.

Guardrails for Accuracy:

Built-in filters and logic kept GPT-4 grounded in factual, purchasable outputs

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Seamless Magento Mapping:

Ensured AI outputs were matched precisely to products with correct attribute