AI-Powered Supply Chain Intelligence

Transform Your Supply Chain Into a Self-Optimizing Engine

The unified platform that combines probabilistic demand forecasting, cold chain intelligence, digital twins, and agentic AI to help FMCG companies in Singapore & APAC achieve accuracy, performance, and profitability.

20+
AI Modules
87+
API Endpoints
55
Data Tables
6
Architecture Layers
Total Revenue
$9.1M
โ†‘ PO + SO combined
Active Orders
400
โ†‘ 200 POs ยท 200 SOs
Shipments
90
111 nodes ยท 120 edges
AI Models
24
60 predictions
Everything You Need to Optimize Your Supply Chain
From demand sensing to autonomous execution โ€” a complete intelligence layer that augments your existing systems.
๐Ÿ“Š

Probabilistic Demand Forecasting

Dual-layer forecasting with confidence bands (P10โ€“P90). Prophet, XGBoost, LSTM ensemble models with 87%+ accuracy.

AI-Powered
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Real-Time Demand Sensing

Ingest POS, e-commerce, weather, and social signals in real-time. Adjust forecasts within hours, not weeks.

AI-Powered
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Cold Chain Intelligence

IoT sensor monitoring, temperature excursion alerts, predictive shelf-life, and FEFO routing for perishables.

IoT-Enabled
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Digital Twin Simulation

What-if scenario modeling for disruptions, network redesign, tariff impacts, and capacity changes.

Analytics
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Agentic AI Automation

Three-tier autonomy: Inform โ†’ Auto-Suggest โ†’ Auto-Execute. Configurable per decision type.

AI-Powered
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Resilience & Self-Healing

Risk detection, contingency playbooks, and automatic mitigation for supplier failures, port closures, and demand shocks.

AI-Powered
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Sustainability & ESG

Carbon emission tracking (Scope 1-3), waste management, and ESG compliance reporting.

Analytics
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Route Optimization

Multi-carrier orchestration, cost-per-km analysis, and live GPS tracking across your logistics network.

Analytics
๐Ÿ“ก

Live Vehicle Tracking

Real-time GPS map with vehicle positions, shipment tracking, geofencing, and delivery ETA predictions.

IoT-Enabled
Built for FMCG Supply Chain Excellence
Three-phase rollout from foundation to advanced intelligence.
๐Ÿ“ฆ

Master Data Management

Products, suppliers, locations, carriers, customers โ€” unified and clean.

Phase 1
๐Ÿ“Š

Demand Forecasting

Probabilistic forecasts with confidence bands and ensemble ML models.

Phase 1
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Demand Sensing

Real-time signal ingestion from POS, e-commerce, weather, social.

Phase 1
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Promotion Impact

Cannibalization, halo effects, and lift decomposition modeling.

Phase 1
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Cold Chain Intelligence

IoT monitoring, excursion alerts, shelf-life prediction.

Phase 1
๐Ÿ–ฅ๏ธ

Control Tower

Real-time dashboards, KPIs, and operational visibility.

Phase 1
๐Ÿ“ˆ

Analytics Engine

KPI snapshots, trend analysis, benchmarking, profitability.

Phase 1
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Digital Twin

What-if scenarios, network simulation, risk modeling.

Phase 2
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Knowledge Graph

Neo4j-powered graph reasoning for cascading impact analysis.

Phase 2
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AI Recommendations

Tiered autonomy: Inform, Auto-Suggest, Auto-Execute.

Phase 2
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AI Assistant

Generative AI chat for natural language supply chain queries.

Phase 2
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Carrier Orchestration

Multi-carrier rate comparison, booking, and tracking.

Phase 2
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Resilience Engine

Risk monitoring, early warning, contingency playbooks.

Phase 2
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Warehouse Optimization

Slotting, pick-path, and capacity utilization.

Phase 2
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Collaborative Logistics

Shared capacity marketplace and partner portal.

Phase 3
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GNN Forecasting

Graph neural networks for advanced demand prediction.

Phase 3
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Edge Computing

Warehouse and vehicle-level processing for low-latency.

Phase 3
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Sustainability

Carbon tracking, waste management, ESG reporting.

Phase 3
๐Ÿ“‹

Transformation Scorecard

Digital maturity assessment and improvement tracking.

Phase 3
๐ŸŒ

Partner Portal

Supplier and customer collaboration platform.

Phase 3
6-Layer Intelligence Stack
Enterprise-grade architecture designed for scalability, real-time processing, and AI-first operations.
1

Presentation Layer

Executive dashboards, operational views, mobile app, AI assistant

2

Agentic AI Layer

Tiered autonomy engine, multi-agent orchestration, auto-execution

3

AI / Intelligence Layer

Demand forecasting, sensing, anomaly detection, route optimization, digital twin

4

Knowledge & Analytics Layer

Supply chain knowledge graph, real-time KPIs, profitability analytics

5

Data & Streaming Layer

Kafka/Kinesis streams, ETL pipelines, data lake, event processing

6

Integration Layer

SAP/Oracle connectors, IoT/MQTT, 3PL/WMS/TMS APIs, edge computing

87%
Forecast Accuracy
40%
Waste Reduction
25%
Logistics Cost Savings
3x
Faster Decisions
99.2%
Cold Chain Compliance
Built on Modern, Proven Technologies
Python 3.14 FastAPI Next.js 15 PostgreSQL + pgvector TimescaleDB SQLAlchemy React 18 Tailwind CSS Recharts Leaflet Maps JWT Auth Zustand

See OPUS SCM in Action

Schedule a personalized demo and discover how OPUS can transform your supply chain operations.

๐ŸŽฏ

Personalized Demo

Tailored to your industry, scale, and specific challenges

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ROI Assessment

Quantified impact analysis based on your current operations

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Integration Review

Technical assessment of your existing systems and data sources

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Pilot Program

Start with a focused pilot on your highest-impact use case

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Dedicated Support

Singapore-based team with deep FMCG supply chain expertise

Request a Demo

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Ready to Transform Your Supply Chain?

Join leading FMCG companies in Singapore & APAC who are already using OPUS to drive accuracy, performance, and profitability.

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