National warehouse
smart inventory.

1. Project Context & Industry Background

Agricultural and bulk logistics in India operate at a massive scale. Central Warehousing Corporation (CWC), a premier public warehousing enterprise, manages hundreds of warehouses across the country storing essential commodities, grains, and industrial supplies. Ensuring the traceabiliy and security of these goods is critical to the national food distribution network.

Traditional manual auditing methods were inadequate. Reconciliations were conducted twice a year, requiring the closure of facilities for days, leading to delays and high labor costs. Discrepancies between physical counts and paper ledgers went undetected for months, exposing the logistics network to storage decay and shrinkage. The objective was to replace paper tallies with a real-time, automated tracking system that operates continuously.

2. Operational Challenges

Deploying a tracking platform in bulk agricultural facilities presented major challenges:

• Signal Attenuation: High-density grain stacks and metal warehouse structures absorb or reflect radio frequencies, causing signal blockages and miscounts during sweeps.
• Network Connectivity Drops: Many warehouses are located in rural agricultural zones with unstable network backhaul. The system had to function reliably offline.
• High-Volume Transaction Logging: Checking in hundreds of pallets simultaneously generates thousands of scans per second, creating database write bottlenecks.

3. Technical Architecture & Edge Integration

Hedonist Solutions engineered an offline-resilient edge-to-cloud WMS tracking platform:

// UHF RFID Gateways & Circular-Polarized Antennas

At primary entry and exit checkpoints, we installed industrial Impinj UHF RFID fixed gateways. The readers are coupled with circular-polarized antennas that project a wider electromagnetic field. This configuration reads tags on pallets regardless of their physical angle. Special anti-metal RFID tags are applied to pallets, preventing reflection errors from metallic rack structures.

// Go Edge Middleware & Local SQLite Caching

The edge gateways run a localized service written in Go. Scanned tags are instantly written to a local SQLite database cache. The service monitors WAN connectivity; when a connection drop is detected, the edge node buffers scan logs. Once network access is restored, the gateway automatically batches the records and posts them via TLS-encrypted HTTP payloads to the cloud.

// PostgreSQL Database Table Partitioning

To handle high ingest write volumes, the central cloud PostgreSQL database utilizes date-based table partitioning. Scans are written to partition tables based on transaction dates, keeping index sizes small and read-write operations under 50 milliseconds.

4. Results & Impact