WMS Warehouse Management System

Built on a low-code platform with strong adaptability, supporting private deployment, achieving full-process collaborative management of warehouse receiving, outbound, and inventory counting operations.

Intelligent WarehouseFull-chain VisibilityFull Traceability
Applicable Scenarios:
ManufacturingRetailE-commerce
WMS Warehouse Management System

Core Advantages

Precise Inventory Control

Real-time inventory data updates, eliminating discrepancies between records and actual stock, with clear visibility of batch, serial number, and expiration date information.

Increased Operation Efficiency

Standardized processes for receiving, picking, outbound, and inventory counting, reducing manual errors and significantly improving warehouse operation speed.

Full-chain Traceability

Complete tracking of product flow from receiving to shipping, enabling rapid traceability when issues arise and meeting compliance requirements.

Cost Reduction and Efficiency Improvement

Optimize warehouse space and labor allocation, reduce product loss and dead stock, effectively lowering operational costs.

Visual Intelligent Management

Intuitive display of warehouse data and operation status on large screens, enabling managers to grasp the overall situation in real time for more efficient decision-making.

Flexible Scalability and Easy Integration

Can integrate with ERP, TMS, production systems and other software, with functional modules selectable as needed, adapting to enterprise development.

Application Scenarios

Lite Version

Receiving + Outbound

Simple receiving and outbound record management

Standard Version

Receiving + Outbound + Counting

Warehouse management for SMEs

Full Version

All Functional Modules

Complete warehouse management process

Smart Version

Warehouse + Barcode + Analysis

Intelligent warehouse management

Pain Points & Solutions

Pain Point

Inventory data is inaccurate, records don't match reality

Low receiving and outbound efficiency, high labor costs

Lack of early warning mechanism, inventory overstock or stockout

Difficult data analysis, decision-making lacks basis

SaaS costs are high, custom development cycles are long and costs are unpredictable

Warehouse data is stored on third-party clouds, not meeting compliance requirements for data localization and privacy protection

Solution

Barcode/RFID technology application, achieving real-time inventory counting and data synchronization

Intelligent operation process optimization, automatic recommendation of optimal bins and picking paths

Intelligent inventory early warning system, real-time monitoring of inventory upper and lower limits, automatic reminders

Multi-dimensional data analysis tools, providing inventory turnover, inventory age and other analysis reports

With low-code platform as the technical foundation, enterprises can adjust the system at any time according to business needs

Support local server or private cloud deployment, data security is controllable

Product Features

Basic Data

Includes warehouse, zone, bin, goods and other modules

Receiving Management

Includes purchase receiving, production receiving, return receiving and other modules

Outbound Management

Includes sales outbound, material picking outbound, transfer outbound and other modules

Inventory Management

Includes inventory query, counting, transfer, early warning and other modules

Data Analysis

Includes inventory reports, turnover analysis, inventory age analysis and other modules

Mobile App

Includes scan receiving, scan outbound, inventory counting and other modules

Technical Architecture

Built on NocoBase low-code platform, using Microkernel + Pluginization + Data Model driven architecture, supporting private cloud deployment and local deployment. System is built with pluginization, easy to extend and integrate.

Technical Components

Frontend: React, TypeScript, Ant Design

Backend: Node.js, Koa, Resource, ACL

Database: PostgreSQL

Workflow: Drag-and-drop workflow designer, supporting complex logic like conditional branches, parallel processing

Security & Permissions: Data source level, page level, operation level

Deployment Methods

Local Deployment

Private cloud or local server deployment, data security is controllable

Hybrid Deployment

Key data deployed locally, non-critical data stored in cloud