Octus & Ashcroft
Hey Ashcroft, I've been looking into new predictive models for fish stocks that could help balance commercial fishing and marine health—do you think there's a chance we could turn that into a win‑win for the industry and the ecosystem?
Sounds promising—if the model can give reliable quotas and you package the data as a regulatory compliance tool, you’ll win both the government and the fishing fleets. Focus on a phased pilot, gather the key metrics, and then roll out a subscription for fleet operators. The upside is clear, the risk is manageable. Let's draft a business case.
Sounds good, Ashcroft. I’ll sketch out a phased pilot first—start with a small fleet, track catch, effort, and habitat impact. Then we can bundle the data into a user‑friendly dashboard and roll out a subscription model once the metrics look solid. Let’s outline the key points: cost, benefits, compliance, and data accuracy. We’ll make it as transparent as possible so both regulators and fishermen see the value. Ready to draft the business case?
Sure thing. Here’s a concise outline you can flesh out:
1. Cost structure
- Initial R&D: data acquisition, model training, validation.
- Pilot: software license, sensors, training, field support.
- Subscription: tiered pricing per vessel, optional add‑ons (real‑time alerts, analytics).
2. Benefits
- For the industry: predictable quotas, reduced over‑fishing risk, potential market premium for sustainable certification.
- For the ecosystem: balanced harvest, improved habitat recovery, measurable compliance.
- For regulators: data‑driven oversight, reduced monitoring burden.
3. Compliance framework
- Align with regional fisheries management plans.
- Build audit trails into the dashboard for transparency.
- Offer certification badges for compliant fleets.
4. Data accuracy and integrity
- Validate models with independent catch data.
- Implement redundant sensor checks.
- Provide confidence intervals on quota recommendations.
Once you populate the numbers, we’ll have a solid case to present to stakeholders.
Great outline, Ashcroft. I can pull some rough cost estimates and projected savings from the pilot data we have. Let me crunch the numbers for R&D, sensor deployment, and subscription tiers, and I’ll add a few case‑study examples of how a few vessels saw a 15‑20% reduction in over‑catch after the first month. Once I’ve got those figures, we’ll have a ready‑to‑present business case. How does that sound?