Collect. Analyze. Notify.
The product is not the dashboard.
The product is the alert that arrives before the disruption hits.
SupplyMaven operates in three layers. Each builds on the one before it. Together, they form a continuous early-warning system that detects supply chain disruptions before they impact your operations and delivers that intelligence directly to the people who can act on it.
Monitors 7+ data sources 24/7 across ports, grids, borders, commodities, and weather
No operator can watch all of this. No AI agent will build pipelines to replicate it.
Scores, normalizes, and synthesizes raw data into the GDI, SMI, and AI intelligence briefs
Proprietary methodology that cannot be replicated without the same domain insights.
Delivers SMS alerts, weekly digests, and on-demand AI answers to the right person
Where the financial value is created. The text message is where the decision starts.
Continuous Monitoring Across 7+ Data Sources
No individual operator can watch all of this. No LLM agent will build automated pipelines to do it. SupplyMaven runs 24/7 without anyone logging in.
The collection layer eliminates the manual work of monitoring fragmented data sources. Every data point is timestamped, stored, and available for baseline comparison. This is the foundation everything else builds on.
Proprietary Scoring That Turns Data Into Decisions
Raw data is available to anyone. The methodology that converts it into actionable risk intelligence is not. This is where SupplyMaven's defensible value lives.
Composite 0–100 risk score synthesizing four pillar indexes — Transportation, Energy, Materials, and Macro — plus AI-analyzed news signal boosting. Each pillar uses z-score normalization against calibrated historical baselines. One number tells you the state of global supply chain risk. Pillar drill-downs tell you why.
Weather-adjusted electricity demand analysis across 8 US power grid regions. Strips heating and cooling noise from electricity consumption to isolate the industrial signal, detecting manufacturing output changes within hours of onset — weeks before government reports like ISM PMI (monthly, first business day) and Fed industrial production (monthly, mid-month). There is no daily government manufacturing output report. The SMI is the only near-real-time manufacturing signal available.
AI-generated natural language analysis of what is changing across each pillar and what it means operationally. Briefs are generated from live data, cached for performance, and updated as conditions evolve. Index movements translated into plain-English context any supply chain professional can act on.
Every score maps to LOW, ELEVATED, MODERATE, HIGH, or CRITICAL, providing a consistent escalation language. Teams map their own response protocols to each level, creating a standardized playbook triggered by objective thresholds rather than subjective judgment.
Configured during onboarding, the exposure profile filters global disruption signals through your commodities, regions, and transportation modes. Eliminates alert fatigue by ensuring only disruptions that would actually affect your operations surface to your attention.
The analysis layer is what separates SupplyMaven from raw data access. Calibrated baselines take months to build. The SMI methodology is patent-pending. The composite scoring synthesizes signals no single data source provides. This cannot be replicated by pointing an AI agent at public APIs.
The Right Alert to the Right Person at the Right Time
A dashboard you have to check is surveillance. An alert that reaches you before a disruption hits is intelligence. This is where the financial value is created.
Tell the AI Advisor what you care about in plain English: “Notify me if port congestion at Long Beach crosses ELEVATED.” The system creates the alert, monitors continuously, and sends a text when the threshold is crossed. 60-minute cooldown prevents duplicates. No configuration menus. No setup complexity.
Every Monday, subscribers receive an AI-generated email briefing covering GDI movements, pillar-level changes, port conditions, energy market shifts, and border status. Context for the week ahead without logging in. Leaders stay informed. Teams stay aligned.
The built-in AI Advisor interprets live SupplyMaven data and answers natural language questions about current conditions, regional risk, commodity trends, and historical comparisons. Contextual intelligence immediately, regardless of analytical skill level.
Three scenarios where SupplyMaven's three layers convert directly into financial value. Each one has been experienced by every supply chain professional reading this.
Port congestion builds at a destination port. A shipment is on the water. The delivery window is closing. The logistics manager finds out late, panics, and books an air freight expedite at 5–10x the ocean rate. Half the time, congestion clears two days later and the expedite was unnecessary.
The manager received a text alert 3–5 days earlier showing congestion building. They made a calm decision — reroute, wait, or expedite with full information.
A manufacturer depends on materials from a supplier in the PJM or ERCOT region. ISM or Fed industrial production data won’t reflect a manufacturing output decline for 2–6 weeks. The production planner has no early warning.
The SMI detects declining manufacturing output in that grid region within hours of onset. The production planner gets a window to call the supplier, confirm status, pull forward from an alternate source, or reschedule production lines before the gap arrives.
Electricity consumption across ERCOT drops in a pattern weather cannot explain. ISM is monthly, Fed G.17 is monthly with a mid-month lag. No one on a trading desk knows yet.
A commodity trader positioned in energy, metals, or industrial inputs sees that signal weeks early and can adjust positions before the market reprices.
The notification layer is where monitoring and analysis convert into dollars saved or earned. The dashboard is where you do analysis. The text message is where the decision starts.
The three layers serve different roles at different moments. This reference maps common supply chain functions to the layers and capabilities most relevant to their daily work.
| Role | Primary Layer | Key Capabilities | Financial Value |
|---|---|---|---|
| Commodity Trader | Notify + Analyze | SMI regional signals, commodity price alerts, GDI composite | Manufacturing demand signals weeks before government data moves markets |
| Logistics / Freight Manager | Notify + Collect | Port congestion alerts, border wait times, air cargo status, Transportation Index | Avoid unnecessary freight expedites by knowing which modes are stressed |
| Production Planner | Notify + Analyze | SMI regional heatmap, Energy Index, supplier region alerts | Detect upstream slowdowns before they delay inbound materials |
| Procurement / Sourcing | Analyze + Collect | Materials Index, commodity pricing, Global Disruption Map | Time purchasing decisions around validated price and availability signals |
| Inventory Manager | Analyze | GDI composite, pillar thresholds, personalized risk index | Adjust safety stock triggers based on objective risk levels |
| Freight Forwarder / 3PL | Notify + Collect | Port congestion (41 ports), Energy Index, Transportation Index | Proactive client outreach with data-backed rerouting guidance |
| VP / Director of Supply Chain | Notify | GDI composite, weekly digest, personalized risk, AI Advisor | One number for risk posture, weekly briefings, zero alert fatigue |
| Risk Manager | All Three | Full platform, GDI history, exposure profiles, event records | Continuous 24/7 monitoring replacing quarterly assessments |
| Supply Chain Consultant | Analyze + Notify | GDI pillar scores, SMI data, weekly digests | Ongoing advisory backed by continuous monitoring |
| Digital Transformation / IT | Collect + Analyze | MCP server (6 tools), AI Advisor, structured risk data | Feed live risk intelligence into ERP, TMS, and AI copilots |
SMI regional signals, commodity price alerts, GDI composite
Manufacturing demand signals weeks before government data moves markets
Port congestion alerts, border wait times, air cargo status, Transportation Index
Avoid unnecessary freight expedites by knowing which modes are stressed
SMI regional heatmap, Energy Index, supplier region alerts
Detect upstream slowdowns before they delay inbound materials
Materials Index, commodity pricing, Global Disruption Map
Time purchasing decisions around validated price and availability signals
GDI composite, pillar thresholds, personalized risk index
Adjust safety stock triggers based on objective risk levels
Port congestion (41 ports), Energy Index, Transportation Index
Proactive client outreach with data-backed rerouting guidance
GDI composite, weekly digest, personalized risk, AI Advisor
One number for risk posture, weekly briefings, zero alert fatigue
Full platform, GDI history, exposure profiles, event records
Continuous 24/7 monitoring replacing quarterly assessments
GDI pillar scores, SMI data, weekly digests
Ongoing advisory backed by continuous monitoring
MCP server (6 tools), AI Advisor, structured risk data
Feed live risk intelligence into ERP, TMS, and AI copilots
Collect. Analyze. Notify.
The product is not the dashboard. The product is the alert that arrives before the disruption hits.
supplymaven.com | $299/month | tellme@supplymaven.com
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