Structured architectural snapshot optimized for enterprise review and generative search synthesis.
Multi-warehouse inventory system handling 3M+ SKUs across 42 facilities with real-time stock ledger.
Append-only ledger with materialized projections for real-time inventory visibility.
Active SKUs: 3M+ • Warehouses: 42 • Stock sync: <200ms • Ledger Accuracy: 99.99%
Zero Data Leakage / ISO 27001 Aligned
Executive Summary // Architecture Brief
PRODUCTION SPECIFICATIONA cloud WMS handling 3M+ SKUs across 42 warehouses with a real-time stock ledger and ML-driven demand forecasting.
Key Impact & Verified Metrics // 2026 Telemetry
LIVE PRODUCTION BENCHMARKSCore Architecture & Capabilities // Symmetrical Topology
[ 3 OF 3 MODULES DEPLOYED ]Event-sourced stock ledger
Append-only ledger with materialized projections for real-time inventory visibility.
Demand forecasting
ML.NET forecasting fed from historical event streams to predict reorder requirements.
Multi-warehouse orchestration
Cross-warehouse transfer optimization with automated low-stock triggers.
From Legacy Monolith to a System That Thinks
The Tree Fig Modernization & Event Sourcing
The Hard Part & AI Stock Intelligence Layer
- Tree Fig incremental slice cutover delivering complete modernization over 6 months with zero production outages
- Reports that previously timed out at 12–18 seconds now return in under 400 milliseconds
- React Native scan-to-receive, scan-to-dispatch, and scan-to-audit mobile apps with offline SQLite caching
- Elasticsearch + vector search for instant part number and SKU matching across 3M+ items
- AI purchasing copilot automatically drafting POs and invoices based on supplier lead times and historical burn rates
Clearly Inventory - Cloud WMS & Demand Forecasting Platform
Enterprise warehouse management architecture engineered by SHIVAM ITCS: real-time stock ledger, predictive reorder automation, multi-facility capacity orchestration, and vendor reliability scoring across 3M+ active SKUs.
AI-Driven Demand Forecasting & Product Movement Heatmap
Tier-1 Logistics Operator & Retail DistributionPredictive inventory optimization mesh combining historical sales velocity, seasonal calendars, and multi-tier supplier reliability scores to prevent stockouts.
Clearly Inventory - Architecture Topology
Live topology inspection, microservice mesh, and protocol specifications for Clearly Inventory.
Next.js 16 Edge Client
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
YARP / Envoy Gateway
OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.
SignalR WebSocket Hub
Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.
C# .NET 9/10 Core Engine
High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.
LangGraph AI Mesh
Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.
vLLM Inference Cluster
Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.
Vectorless BM25 Engine
Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.
Apache Kafka / RabbitMQ
Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.
Redis 7.2 Cluster
Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.
PostgreSQL Multi-Tenant DB
Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.
Next.js 16 Edge Client
SSR / Edge Worker
Architectural Specification
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
Downstream Pipe Connectors
Screenshots & Architecture Schematics
Verified Production Impact & Client Endorsements
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
Related Works & Architectures
Explore interconnected production systems, domain-specific implementations, and technical blueprints from our engineering portfolio.
Ready to Build Enterprise Clearly Inventory?
Consult directly with our principal AI architects to evaluate architecture feasibility, cost optimization paths, and implementation timelines.