Air8 Supply Chain Finance

Risk Model Framework

Credit Intelligence Architecture  ·  Data → Model → Output → Scenarios
✅ ARP Live ✅ Pre-Shipment Live 🚧 OBF In Planning v2.0 — For Review
Stage 01
📡
DATA
Sources · Attributes · Enrichment pipeline
20
Sources
222
Attributes
82
Scorecard
4
Dimensions
🔧 How to Get More Data 🧬 See in KB Graph ↓ KB-linked
👤
Understand Persona
Supplier / Buyer / Funder / Insurer — who is the client and their role
⚠️
Identify Pain Points
Operational inefficiency, data gaps, risk blind spots — what keeps them up at night
🧬
KB Lookup
Match pain point to data need → identify which attributes are missing or weak
🔧
Provide Tools
WIP tracker, field survey, RM traceability, lab testing integration — right tool for the gap
📊
Data Collected → Score Uplift
Additional attributes enrich scorecard → same as rating increase trigger
Stage 02
🧠
MODEL
Risk scoring engine · 4 dimensions · Multi-version
4
Dimensions
27
Metrics
5
Versions
2
Products
📍 Model Evolution V1 → V5
💡 Click a version to see details
Stage 03
📊
OUTPUT
Back-testing · Rating triggers · Actions
A
Lane A
50%
Flag Threshold
3
Trigger Types
Back-tested
🔁 Back-Testing End-2024
📅 Snapshot: Stand at end of 2024, calculate scores for all Lane A clients
🚩 Flag: Identify clients with >50% and >75% score increase / drop
📏 Inline check: X% of flags align with scorecard direction (TBD — fill after analysis)
🔎 Exceptions: Deep dive on non-aligned cases by reason category (in progress)
Action Triggers Rules
📈
Rating Increase / More Data
Credit limit increase
Tenor / advance ratio uplift
More data = same benefit as rating up
🚨
Rating Drop / Critical Event
Critical factor drop → investigation
Event trigger → limit cap / suspend
Persistent / severe → exit
Stage 04
🗺️
SCEN.
Live products · Expansion roadmap
2
Live Now
5
Roadmap
🆕
OBF Next
💰
Capital+
Now Live Active
Pre-Shipment
RT2C
Production milestone
Post-Shipment
ARP
Invoice receivables
🚀 Expansion Roadmap Planning
1
Pre-Shipment OBF
Order-based financing with WIP data + upstream traceability
2
Mini ARP — Low & Grow
Starter facility for emerging suppliers, grow with track record
3
Scorecard Capital Deployment
Loosen risk framework based on scorecard confidence → more capital
4
Feedback Loop & Pricing
Performance data → adj scorecard → improve pricing strategy
5
Funder Refactoring & Insurance
Funder capital refactoring · Insurer cover for pre-shipment loans
🧠
BD Intelligence Suite
Pre-visit prep  ·  Smart outreach  ·  Cold scheduling  ·  Conversion uplift
BD Tool
🔍
Pre-Visit Intel
Prep brief before every client meeting
1
Input — Company name or URL
BD enters company name; system auto-resolves LinkedIn, website, news
2
Websearch — Business snapshot
Recent news · Revenue signals · Key products · Trade routes · Export markets
3
KB Lookup — Risk & product fit
Country risk score · Industry outlook · Buyer concentration · Matching SCF product (ARP / Pre-Shipment / OBF)
4
Pain point mapping
Cash flow gap · Long payment terms · Buyer concentration risk · Working capital pressure
📄
Output — Client Brief
Business summary · Pain points · Recommended product · Suggested advance rate · Talking points
✉️
Smart Outreach
Auto-generate personalised client emails
1
Pull from client brief
Uses pre-visit intel output — pain points, product fit, company context
2
Select email type
Cold intro · Post-meeting follow-up · Proposal · Re-engagement · Event invite
3
AI drafts personalised email
References company name, industry, specific pain point, and matching Air8 solution
4
BD reviews & sends
Edit, approve, one-click send · CRM log auto-created · Follow-up reminder set
🎯
Output — Sent Email + CRM Log
Personalised draft · Sent record · Suggested follow-up date · Link to client brief
📅
Cold Scheduling & Capture
Automate meeting booking and track responses
1
Embed meeting link in outreach
Calendly / Teams link auto-inserted · Time slots pre-configured by BD availability
2
Response capture
✅ Booked · ⏳ No reply (auto follow-up D+3) · ❌ Not interested (log reason) · 🔄 Reschedule request
3
Auto follow-up sequence
No reply → reminder D+3 → value-add email D+7 → final check-in D+14 → archive
4
Hot lead flagging
Opened email 2×+ or clicked link → auto-flag for priority follow-up by BD
📊
Output — Pipeline Dashboard
Leads by stage · Response rates · Hot leads · Meeting conversion · Follow-up queue
Response Rate
vs generic cold email
~15min
Prep Time
vs 2–3h manual research
Auto
Follow-up
Zero BD manual effort
↑ CVR
Conversion Rate
Personalised + timely outreach
🧬
Knowledge Base (KB) — Layered Graph
Persona ↔ Knowledge ↔ Data  ·  Line thickness = relationship strength
Persona Layer
Knowledge / Risk Layer
Data Source Layer
Weak relation
Strong relation