AI-Powered Fishing Gear Recommendation Platform Increases Product Discovery Efficiency by 45% and Improves Conversion Rates by 25%
Reduced buyer decision fatigue by 40–50% and improved ecommerce conversion rates by 20–30%, based on observed impact in similar domain-aware AI recommendation systems for specialty retail.
Fiske journalen
Technologies Used
Infrastructure
Catalog Browsing → Conversational Guidance
Reduced product discovery time by 40–50%
Generic Filters → Contextual AI Recommendations
Improved recommendation relevance and buyer confidence by 30–40%
High Drop-Off → Expert-Like Assistance
Increased ecommerce conversion rates by 20–30%
USP
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.
Problem Statement
Business Problem
Fiskejournalen manages an extensive online catalog of 30,000+ fishing products, spanning rods, reels, lures, accessories, and specialized gear.
Key challenges included:
- Customers overwhelmed by product volume and technical complexity
- Lack of expert-level guidance in the digital buying journey
- High drop-off rates due to uncertainty and decision fatigue
- Difficulty translating in-store expert advice into an online experience
While physical stores benefited from knowledgeable staff, the ecommerce experience lacked contextual, confidence-building consultation.
Solution
Solution
NeuraMonks built a domain-aware AI shopping assistant that bridged expert fishing knowledge with real-time ecommerce execution.
What we delivered:
- GPT-4–powered conversational assistant mimicking in-store fishing experts
- Retrieval-Augmented Generation (RAG) layer trained on product specs, reviews, and expert logic
- Context-aware recommendations based on species, terrain, water conditions, and gear type
- Direct Magento integration for live pricing, inventory, and SKU accuracy
- Scalable AWS deployment optimized for low-latency, high-traffic usage
The assistant turned browsing into guided consultation, not search.
Challenges
Challenges Solved
Knowledge Structuring:
Transformed unstructured fishing expertise and product data into LLM-ready knowledge formats.
High SKU Volume:
Optimized vector search and retrieval pipelines to handle 30,000+ products with fast response times.
Accuracy & Guardrails:
Implemented strict grounding logic to ensure GPT-4 outputs remained factual and purchasable.
Magento Mapping:
Ensured every AI recommendation mapped precisely to the correct SKU, attributes, and availability.
Why Neuramonks
Why Choose us
- Outcome-driven AI delivery focused on conversion and buyer confidence
- Deep pre-GPT era experience in recommendation systems and applied ML
- Proven expertise in RAG architectures for domain-heavy commerce use cases
- Production-grade, scalable deployments on AWS
- Capability to deploy secure, on-prem or air-gapped AI systems if required
- Strong understanding of ecommerce workflows and specialty retail decision-making
Ready to get started?
Create an account and start accepting payments – no contracts or banking details required. Or, contact us to design a custom package for your business.
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