Track member engagement, buyer connections, and partnership opportunities across the entire coffee ecosystem
"From first inquiry to lifelong partnership — every touchpoint captured."
Three distinct pipelines track every relationship type — buyer leads, member onboarding, and strategic partnerships — each with their own stages and conversion metrics.
Every member’s complete story in a single card — engagement history, financials, certifications, connections, and open items at a glance.
How the AI Spark agent ranks buyer inquiries — so exporters see the most promising leads first, every time.
| Factor | Weight | High Score Example |
|---|---|---|
| Import Volume | 30% | >100 tonnes per year = high |
| Market (Premium) | 25% | Japan, Nordic, Australia = high |
| Repeat Buyer | 20% | Previous deals on platform = high |
| Certification Match | 15% | Buyer needs match exporter certs |
| Engagement | 10% | Profile views, events attended |
AI Spark Agent auto-scores every buyer inquiry the moment it arrives. Exporters see ranked leads in their dashboard — highest-value opportunities first, with an explanation of why each lead scored the way it did.
Integrated messaging that keeps every stakeholder informed — from automated compliance alerts to post-event buyer outreach.
Certification expiry warnings at 30, 60, and 90 days. Dues reminders before and after deadlines. Event invitations based on member profile and interests.
“EUDR deadline reminder to all EU-shipping members” — target by certification status, region, member tier, or any OODB attribute.
Distribution tracking for the flagship newsletter. Open rates, click-through rates, and engagement metrics per member segment.
After the Addis Coffee Cup: automated follow-ups to bidders, lot-winner introductions, and cupping report distribution to all attendees.
CRM enriched with real-time market data — every buyer profile gains context from global trade flows, pricing trends, and seasonal demand signals.
AI auto-enrichment pulls company size, import history, certifications held, and market reputation for every new buyer inquiry.
“Japanese buyer inquiries up 34% — align with Cherry harvest”. Correlate pipeline movements with seasonal and market cycles.
Analysis per buyer segment — which markets pay premiums for organic? Where are fair-trade certifications most valued?
Which CRM activities actually generate revenue? Track every deal back to its source — from AI-matched portal leads to trade fair follow-ups.
| Source | Deals | Volume | Commission |
|---|---|---|---|
| Legacy Portal (AI Match) | 47 | $2.3M | $69K |
| Addis Coffee Cup | 12 | $450K | $36K |
| Direct Inquiry | 23 | $1.1M | $33K |
| Trade Fair Follow-Up | 8 | $380K | $11.4K |
| Total | 90 | $4.23M | $149.4K |
All CRM data lives in Fermia’s Object Database — flexible, typed, and graph-traversable. Every entity is connected.
Every ref_object_id is a typed graph edge — agents traverse from Lead → Opportunity → Deal → Commission in a single query chain.
From first inquiry to lifelong partnership — CRM that understands coffee trade.