Smart ERP — Unified Operations & Inventory Hub
An enterprise-grade operational ERP dashboard synchronizing inventory counts, supply chains, dynamic invoicing, and API webhooks.
Overview
Smart ERP is a unified operations and inventory management hub. Designed to streamline supply chain logistics, warehouse stock flows, and dynamic invoice reporting, the platform binds real-time storage sync queries, shipping tracking, sales registers with fast performance, responsive dashboard.
The Problem
Operations and sales coordination in e-commerce and scaling distribution companies are often slowed down by delayed database updates between warehouses and storefront platforms.
Key challenges in enterprise operations include:
- →Delayed Warehouse Inventory SyncSlow database updates between sales registers and storage facilities lead to out-of-stock orders, double-allocation, and shipping discrepancies.
- →Backlogged Shipments & InvoicingDelayed outbound queue handovers and manual preparation of sales invoice records create operational shipping bottlenecks.
- →Multiple Branch Stock ManagementManaging stock levels across multiple branches and synchronizing them with sales and distribution pipelines without real-time inventory tracking.
What I Built
I engineered core logistics and synchronization logic for Smart ERP, establishing real-time warehouse sync protocols, automated invoicing systems, and real-time employee tracking.
// Warehouse Inventory Sync Protocol
Designed automatic stock adjustment triggers running on supply database transactions, reducing inventory latency records to near-zero.
// Automated Invoicing & Shipments
Structured query routines sorting inbound/outbound shipping queues and programmed automated generators converting sales logs into PDF invoice sheets instantly.
// Real-Time Employee Tracking
Built a live employee tracking module monitoring field staff locations, attendance status, and daily activity logs across multiple branches in real-time.
// Database Query & Cache Tuning
Rewrote complex relational SQL joins using Prisma query selectors and configured Redis memory caches, reducing operations loading times by 40%.
Key Features
- ✓Real-Time Warehouse Inventory SyncInstant stock count updates and validation registers across multiple active warehouses.
- ✓Inbound/Outbound Shipping Logistics QueueAutomated delivery scheduler logs displaying shipment statuses, carriers, and destinations.
- ✓Real-Time Employee TrackingLive field staff monitoring tracking locations, attendance status, and daily activity logs across multiple branches.
- ✓Dynamic Invoice PDF CompilerGathers transaction parameters and formats customer invoices for printable statements.
Results & Impact
Smart ERP optimizes inventory operations, warehouse tracking speedups, and sales sync integrations:
- »40% Shipment Workflow AccelerationsNear-zero inventory sync delays speed up order processing, packing, and dispatch cycles.
- »High-Throughput Webhook ProcessingManaged thousands of automated product sync callbacks daily with full uptime.
- »35% Database Resource ReductionsRedis cache lookup configurations successfully minimized heavy relational Postgres table lookups.
Technical Architecture & Deep Dive
Smart ERP operates as an event-driven system to guarantee near-instant inventory synchronization across geographically separate warehouses. To avoid database lock contentions during peak sales hours, I introduced Redis-backed job queues that handle all order processing, billing callbacks, and inventory logs asynchronously.
The inventory tracking module uses a double-entry ledger database schema, documenting every item movement (sales, returns, warehouse transfers) as a balance-adjusting transaction. This ensures audits are 100% accurate and prevent stock discrepancies. Relational query optimizations were implemented using eager loading (with() relationships) to reduce N+1 query loops.
Real-time field updates are powered by Pusher channels, pushing instant notifications to staff browsers. For invoice generations, dynamic HTML templates are parsed and converted to PDF files using queue workers, keeping the main request-response cycle fast and lightweight.