See every link in your supply chain in real time β from raw material origin to final-mile delivery β and act before disruptions hit.

Global supply chains have grown so complex that most companies cannot answer a simple question in real time: where is my product right now, and will it arrive on schedule?
Visibility typically ends at the first-tier supplier, leaving organizations blind to risks brewing deeper in the network β a sub-supplier's factory shutdown, a port congestion event, or a raw material shortage three tiers down. When disruptions do surface, the response is reactive and slow because planners must manually piece together shipment statuses from carrier portals, supplier emails, and ERP transactions. The lack of a unified, continuously updated view makes it impossible to run meaningful what-if scenarios, quantify risk exposure, or proactively reroute before customer commitments are missed.
MicrocosmWorks can build an end-to-end supply chain visibility platform that aggregates data from carriers, freight forwarders, port authorities, IoT sensors, supplier systems, and internal ERPs into a single, real-time operational picture. Every shipment, purchase order, and inventory node is tracked on a live map with estimated arrival times that update dynamically as conditions change. AI models monitor external risk signals β weather events, geopolitical developments, port congestion indices, and commodity price swings β and correlate them with the client's active shipments and supplier locations to generate proactive disruption alerts. A scenario planning engine lets supply chain managers model alternative sourcing, routing, and inventory buffering strategies before committing resources. Multi-tier supplier network mapping extends visibility beyond direct partners to reveal hidden concentration risks.
The platform is built on a cloud-native, event-streaming architecture designed to ingest high-volume, heterogeneous data from dozens of external sources with varying formats and latencies. A data normalization layer converts raw feeds into a canonical supply chain event model, which flows into a graph database for network analysis and a time-series store for shipment tracking and analytics.
upload portals, all normalizing into a unified event schema.
current disruption overlays.
geographic risk heat maps.
them with impacted shipments and suppliers.
fluctuations on cost, lead time, and service level.
response actions on specific disruption events.
| Platform | Integration Type | Purpose |
|---|---|---|
| Maersk / MSC / CMA CGM | Tracking API | Ocean freight container tracking and vessel ETA updates |
| FedEx / UPS / DHL | REST API + Webhooks | Parcel and LTL shipment status, proof of delivery |
| SAP / Oracle ERP | RFC / REST API | Purchase order, goods receipt, and inventory sync |
| MarineTraffic / FlightAware | Streaming API | Real-time vessel and air cargo position data |
| GDELT / Reuters News API | NLP Pipeline | Geopolitical and natural disaster event monitoring |
| Layer | Technologies |
|---|---|
| Backend | Python (FastAPI), Go (data ingestion services), Apache Kafka, Apache Flink |
| AI / ML | PyTorch (disruption prediction), XGBoost (ETA models), NetworkX (graph analytics) |
| Frontend | React, Mapbox GL JS, Deck.gl, Tailwind CSS |
| Database | Neo4j (supplier graph), TimescaleDB (shipment events), PostgreSQL, Redis |
| Infrastructure | AWS (EKS, MSK, S3, SageMaker), Terraform, Datadog, PagerDuty |
| Phase | Duration | Deliverables |
|---|---|---|
| Supply Chain Mapping & Data Audit | 2 weeks | Supplier network discovery, carrier API inventory, data quality assessment |
| Ingestion Pipeline & Core Tracking | 4 weeks | Kafka streaming layer, carrier connectors, live shipment map |
| Supplier Graph & Risk Engine | 3 weeks | Neo4j network model, disruption AI, risk scoring dashboards |
| Scenario Planning & Collaboration | 2 weeks | What-if simulator, alert rules engine, collaboration workspace |
| Integration Testing & Go-Live | 2-5 weeks | End-to-end validation, user training, phased carrier onboarding |
| Metric | Improvement | Detail |
|---|---|---|
| Shipment Visibility Coverage | 95%+ | Unified tracking across all modes and carriers replaces fragmented portal-by-portal checks. |
| Disruption Response Time | -65% | Proactive AI alerts and pre-modeled scenarios enable action within hours instead of days. |
| Expedited Freight Spend | -30% | Earlier awareness of delays allows rerouting before expensive last-minute air freight is needed. |
| Supplier Risk Incidents | -40% | Multi-tier mapping and continuous risk scoring surface concentration risks before they materialize. |
| Planner Productivity | +35% | Automated tracking and exception-based workflows free planners from manual status chasing. |
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MicrocosmWorks integrates with carrier APIs, EDI 214/990 status messages, GPS/cellular tracking devices, AIS vessel tracking, and port community systems to aggregate real-time shipment location and status data across ocean, air, rail, and truck modes. The platform normalizes disparate data formats into a unified tracking interface with predicted arrival times that update dynamically based on current transit conditions.
The MicrocosmWorks platform ingests weather data, port congestion metrics, geopolitical risk feeds, supplier financial health indicators, and carrier performance trends to generate predictive risk scores for every active shipment and supplier. The system provides early warning alerts typically 5-15 days before a disruption impacts your operations, giving procurement teams time to activate alternative sources.
MicrocosmWorks builds supplier network mapping tools that use bill-of-materials analysis, customs trade data, and supplier disclosure workflows to identify and monitor sub-tier suppliers beyond your direct procurement relationships. The platform tracks concentration risk, single-source dependencies, and geographic exposure across the extended supplier network to identify hidden vulnerabilities.
The MicrocosmWorks platform calculates supplier scorecards based on on-time delivery rates, quality reject rates, lead time variability, responsiveness, and total landed cost including freight, duties, inspection costs, and disruption-related expenses. These analytics enable data-driven supplier negotiations, strategic sourcing decisions, and continuous improvement programs tied to measurable KPIs.
MicrocosmWorks designs the platform with multiple onboarding tiers: carrier API integrations activate within 1-2 weeks, EDI-connected suppliers onboard in 2-4 weeks, and manual-entry suppliers can begin using the web portal immediately with no technical integration required. At rates of $15-$35/hr, the typical deployment including top 20 carrier integrations and 50+ supplier onboarding takes 10-16 weeks.
Contact us to discuss how we can build this solution for your business with our expert team.
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