Supply Chain &
Production AI
RDP is building India’s sovereign Supply Chain & Production Optimisation platform — GPU infrastructure, operations research software, and validated AI models for demand forecasting, production scheduling, inventory optimisation, and logistics.
Why Supply Chain & Production AI, Why Now
India’s manufacturing supply chains are complex, multi-tier, and increasingly global. Post-pandemic disruptions, semiconductor shortages, and geopolitical volatility.
Target Segments
Automotive OEMs & Tier 1
Multi-tier supply chain visibility, JIT scheduling, and supplier risk management AI
Consumer & FMCG
Demand sensing, distribution network optimisation, and promotional analytics for.
Pharmaceutical & Chemical
Batch scheduling, regulatory-compliant traceability, and cold chain optimisation AI
Electronics & High-Tech
Component demand forecasting, BOM optimisation, and semiconductor supply risk analytics
Industrial & Infrastructure
Project-based procurement, MRO inventory optimisation, and construction logistics AI
Energy & Utilities
Power generation, oil & gas, mining, water treatment, renewable energy
Full Stack Architecture
Three integrated layers — hardware, software, and AI — purpose-built for manufacturing at institutional, state, and national scale.
INTELLIGENCE — Supply Chain AI Models
Demand Forecast · Production Schedule · Inventory AI · Logistics Route · Supplier Risk
SOFTWARE — Supply Chain Platform
Planning Engine · ERP Connector · Control Tower · WMS Interface · Analytics · ISV Apps
HARDWARE — RDP Proprietary Infrastructure
AI-POD · Optimisation GPU · Data Lake · Lossless Fabric · Warehouse Edge · HA Cluster
RDP Proprietary Infrastructure
| Component | RDP SKU | Supply Chain Role | Key Specification |
|---|---|---|---|
| Compute Node | RDP AI-POD (Rack Scale) | Primary AI for demand modelling, scheduling optimisation, and simulation | 8× GPU per node, NVLink |
| Optimisation Server | RDP SCM AI SKU | Real-time production scheduling and logistics route optimisation | A100 / L40S, HA redundant |
| Supply Chain Lake | RDP NVMe All-Flash Array | ERP data, demand signals, logistics tracking, and supplier data | Up to 500 TB, 10 GB/s |
| Network Fabric | RDP Lossless Fabric | Low-latency interconnect for real-time supply chain analytics | 100GbE / 400GbE |
| Warehouse Edge | RDP Inference Edge | Warehouse-level AI for pick optimisation and inventory counting | Compact GPU, 24×7 |
Supply Chain Platform
Apache Spark / Flink
Distributed processing for supply chain data engineering and analytics
Apache Kafka
Real-time event streaming for demand signals, IoT, and logistics tracking
OR-Tools / CPLEX
Mathematical optimisation solvers for scheduling and routing problems
MLflow / Kubeflow
Model lifecycle for demand forecasting and optimisation model deployment
NVIDIA Triton Server
High-throughput serving for real-time demand and routing models
Apache Airflow
Workflow orchestration for supply chain data pipelines and batch planning
Demand Sensing AI
Short-term demand forecasting using POS, weather, events, and market signals
Production Scheduling AI
Optimal job sequencing, machine allocation, and changeover minimisation
Inventory Optimisation
Dynamic safety stock, reorder points, and multi-echelon inventory positioning
Logistics Route AI
Vehicle routing, load optimisation, and real-time delivery scheduling
Supplier Risk AI
Supplier health scoring, lead time prediction, and alternative sourcing recommendations
Digital Twin Simulation
Supply chain scenario modelling, disruption simulation, and what-if analysis
Pre-Validated AI Models
| SCM Domain | Model Type | Application | Performance |
|---|---|---|---|
| Demand Forecast | Temporal Fusion Transformer | Multi-horizon demand forecasting with external signal integration | 30–40% MAPE reduction vs traditional |
| Production Schedule | Constraint Programming + RL | Optimal job sequencing, resource allocation, and changeover minimisation | 15% throughput improvement |
| Inventory Position | Multi-Echelon Optimisation | Dynamic safety stock, SKU-level reorder, and network inventory balancing | 25% inventory reduction |
| Logistics Route | VRP + Graph Neural Network | Multi-stop route optimisation, load planning, and delivery time estimation | 20% logistics cost reduction |
| Supplier Risk | NLP + Network Analysis | Financial health, news sentiment, and supply network vulnerability scoring | 60-day risk early warning |
| Digital Twin | Agent-Based Simulation | End-to-end supply chain simulation for scenario planning and stress testing | 1,000 scenarios per hour |
Deployment Configurations
Three pre-validated tiers — each with hardware, software, AI models, and RDP SLA support. Custom BOQ on request.
Starter
Single Plant / Warehouse
Professional
Multi-Site Operations
Enterprise
Enterprise Supply Chain
End-to-End on Sovereign Infrastructure
Complete pipeline from data ingestion to actionable intelligence — every step on RDP infrastructure.
SENSE
SCHEDULE
OPTIMISE
POSITION
ROUTE
TRACK
Build With Us · Sell With Us
RDP’s Manufacturing AI platform is designed for India’s ecosystem. We’re inviting technology and channel partners, and direct inquiries from organisations.
Technology Partners
- Certify your supply chain AI on RDP infrastructure
- Access GPU labs for optimisation model validation
- Joint go-to-market with RDP manufacturing team
- Co-branded solution briefs for enterprise procurement
- ERP / WMS integration support
Channel Partners
- Sell complete supply chain AI solutions
- Pre-configured SCM deployment packages
- RDP-backed implementation & SLA support
- Partner margins on hardware + software
- SCM sales training & certification
Manufacturers & Enterprises
- Schedule a supply chain AI workshop
- Request a pilot on demand forecasting
- Get a custom Bill of Quantities
- Evaluate starter tier on single site
- PLI / Make in India support
India’s Sovereign Manufacturing AI Infrastructure
Make in India Hardware
All RDP systems designed and assembled in India. PLI 2.0 aligned for manufacturing sector.
Production Data Sovereign
Manufacturing data, quality records, and AI models stay on-premise. Zero cloud dependency.
ISO 9001 Certified
RDP infrastructure ISO 9001 certified. Built for quality-critical manufacturing environments.
PLI 2.0 Ready
Production-linked incentive scheme aligned. Eligible for government manufacturing programmes.
5-Year Lifecycle Commitment
Hardware support, AI model updates, and continuous improvement throughout lifecycle.
Full Stack — Single OEM
Servers, storage, networking, software, and AI from one Indian OEM. One BOQ, one SLA.
Regulatory Alignment
| Standard | Scope | RDP Coverage |
|---|---|---|
| ISO 9001 | Quality Management | Supply chain process documentation and audit trail support |
| ISO 28000 | Supply Chain Security | Supply chain security management system compliance |
| GST / E-Way Bill | Indian Tax Compliance | GST-compliant invoicing, E-way bill integration, and tax analytics |
| FSSAI / Drug License | Food & Pharma Traceability | Batch traceability, recall management, and cold chain compliance |
| IS 14489 / BIS | Indian Standards | BIS-certified hardware, MeitY-recognised Indian OEM |
| PLI Scheme | Government Incentives | Make in India qualification for PLI and government procurement |
Projected Impact
| Metric | Before RDP AI | After RDP AI | Impact |
|---|---|---|---|
| Forecast accuracy | 60–70% (traditional) | 85–92% (AI) | 30% MAPE reduction |
| Inventory levels | 100% (baseline) | 75% | 25% reduction |
| Production throughput | 100% (baseline) | 115% | 15% improvement |
| Logistics costs | 100% (baseline) | 80% | 20% savings |
| Stockout rate | 5–8% | 1–2% | 70% reduction |
| Data sovereignty | Cloud SCM risk | 100% on-premise | Zero IP leakage |
Ready to Build Manufacturing AI Capability?
From pilot to production — RDP designs, builds, and deploys sovereign AI infrastructure for India’s manufacturing ecosystem.
Trademark Notice: All product names, logos, and brands mentioned are property of their respective owners. NVIDIA, CUDA, L40S, A100, H100, H200 are trademarks of NVIDIA Corporation. Use is for identification only.
Disclaimer: RDP Technologies provides AI compute infrastructure and does not provide manufacturing process control, quality certification, or safety-critical system guarantees. AI models must be independently validated per applicable BIS and industry standards.
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