Enterprise SystemsEnterprise12-16 weeks

Supply Chain Visibility Platform

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

May 2, 2026

3 topics covered

Build This Solution

Enterprise Systems

The Challenge

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 — 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.

Our Solution

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 — weather events, geopolitical developments, port congestion indices, and commodity price swings — 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.

System Architecture

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.

Key Components

Data Ingestion & Normalization Layer: Connectors for EDI (AS2/SFTP), carrier tracking APIs (FedEx, Maersk, Flexport), IoT gateways, ERP webhooks, and manual

upload portals, all normalizing into a unified event schema.

Live Shipment Tracker: Real-time map interface showing in-transit shipments with dynamic ETA calculations based on carrier updates, historical transit patterns, and

current disruption overlays.

Supplier Network Graph: Multi-tier supplier relationship mapping stored in a graph database, enabling concentration analysis, single-point-of-failure detection, and

geographic risk heat maps.

Disruption Intelligence Engine: AI model that ingests news feeds, weather APIs, port congestion data, and commodity indices to score active risk events and correlate

them with impacted shipments and suppliers.

Scenario Planning Module: What-if simulation engine that models the impact of supplier switches, safety stock changes, mode shifts (air vs. ocean), and demand

fluctuations on cost, lead time, and service level.

Alert & Collaboration Hub: Configurable alert rules with escalation paths, plus a shared workspace where procurement, logistics, and supplier contacts can coordinate

response actions on specific disruption events.

Key Integrations

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

Technology Stack

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

Implementation Phases

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

Expected Impact

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.

Related Services

ERP / Enterprise Solutions — ERP integration for purchase orders, inventory, and shipment records
AI Development — Disruption prediction models, ETA forecasting, and risk scoring algorithms
Cloud Solutions — Scalable event-streaming infrastructure and real-time data pipeline orchestration