Factory-Level AI Cost Reduction Solutions

Platform Provider & Intelligent Industry Co-Builder

  • Smart Factory Intelligent Management Platform
  • CodeReady Intelligent Scheduling Decision Platform
  • Unified Drone Intelligent Inspection Platform
Smart Factory – Integrated Intelligent Management Platform

Smart Factory is an integrated intelligent management platform centered on the MES (Manufacturing Execution System). It deeply integrates core business systems such as ERP, CRM, and WMS, creating a SaaS-based intelligent platform that covers the entire business process of enterprises. It supports multi-terminal collaboration (PC, mobile, and industrial control terminals) for work order tasks and closed-loop management. Powered by cloud-native technology and real-time data-driven capabilities, it helps manufacturing enterprises achieve production transparency, resource optimization, and intelligent decision-making, significantly lowering the threshold and maintenance costs of digitalization. It is the preferred solution for SMEs undergoing digital transformation.

Pain Points

Data Silos

Traditional siloed systems (CRM/ERP/MES/WMS) are disconnected, creating data barriers and low efficiency.

Inefficient Management

Manual scheduling, poor traceability, and weak failure prediction hinder full-process control.

High Costs

High barriers, heavy IT investment, and costly maintenance lead to heavy burdens and slow ROI.

Complex Deployment

Long cycles and poor adaptability make complex systems hard for SMEs to deploy and respond quickly to business needs.

Core Advantages

Flexible Configuration

Low/no-code setup and multi-tenant architecture allow flexible workflow customization to meet tailored business needs.

Cost-Effective Deployment

Cloud-native SaaS with flexible pay-as-you-go pricing requires no in-house IT infrastructure, enabling fast 3-day launch for SMEs.

High Integration

Deep integration centered on MES connects all business systems for seamless data flow and a complete closed loop.

Proven Maturity

Proven through internal testing and external use, continuous multi-tenant iterations ensure high stability and enterprise-grade maturity.

Application Scenarios

Discrete Manufacturing

High-mix, low-volume production across machinery, electronics, automotive, medical devices, and electrical equipment.

Human Resources Management

Deep integration of OA and HRM for scheduling, performance, payroll, and attendance, enabling real-time workforce monitoring.

Supply Chain Collaboration

A closed-loop system covering procurement, sales, inventory, and after-sales service to break departmental silos and boost operational efficiency.

Drone – Unified Intelligent Inspection Platform

The Drone Intelligent Inspection Platform integrates AI and low-altitude flight technology to achieve a “Unified Flight Network”. The system supports autonomous route planning, automatic obstacle avoidance, and real-time high-definition video transmission. Powered by advanced built-in AI algorithms, it automatically identifies safety violations, environmental pollution, and other anomalies, providing instant intelligent alerts. This platform establishes a complete closed-loop covering task scheduling, resource management, and data analysis. It significantly enhances the efficiency and safety of government governance, construction site supervision, and industrial inspections, helping users achieve intelligent, unmanned, and efficient inspection operations.

Pain Points

Low Efficiency

Manual inspections on foot or by vehicle are heavily affected by terrain and weather, leading to low efficiency.

High Inspection Costs

Significant capital is required for training, equipment, maintenance, and rising labor costs, driving up operational losses.

High Safety Risks

Harsh operating environments pose high personal safety risks and make complete, accurate data collection difficult.

Low Data Accuracy

Manual processing and analysis of collected data are labor-intensive, error-prone, and delay problem detection.

Core Advantages

Flexible Configuration

Flexible integration of various drones and payloads allows quick setup for tailored inspection tasks.

Low Development Cost

Built on a unified platform, one-time deployment supports multi-scenario reuse to reduce development costs.

High Integration

Edge-cloud architecture seamlessly integrates dock hardware, AI algorithms, flight control, and data centers.

Proven Maturity

Industry-tested AI image recognition and closed-loop incident management ensure stable, reliable deployment.

Application Scenarios

Power Grid Inspection

Real-time AI detection of power line debris, tower base cracks, and insulator flashovers.

Solar Panel Inspection

One-click detection for hot spots, panel damage, and dust accumulation with second-level fault identification.

Waterway & Urban Inspection

Floating debris identification, illegal construction monitoring, and automated environmental alerts.

CodeReady – Intelligent Scheduling Decision Platform

CodeReady is an AI‑powered intelligent scheduling platform for manufacturing. Built on large language models and AI Agent digital employees, it supports AI‑based scheduling and AI‑enhanced APS scheduling dual‑modes. Integrating work‑order, BOM, equipment and inventory data, it auto‑parses work orders to generate optimal scheduling schemes under multi‑dimensional constraints, and connects upstream‑downstream systems for closed‑loop traceable scheduling. With intelligent decision‑making and natural‑language interaction, it eliminates experience‑driven dependencies, boosts scheduling efficiency & transparency, and accelerates manufacturers’ digital transformation.

Pain Points

Experience-Dependent

Hard to codify expertise; scheduling capability drops sharply when key staff leave.

Slow Anomaly Response

Unable to anticipate failures or delays; stuck in reactive fire-fighting.

Opaque Logic

Black-box scheduling lacks explanation; managers struggle to trust results.

High Adjustment Cost

Plans are tightly coupled; manual tweaks trigger cascading conflicts.

Core Advantages

AI Business Understanding

Auto-parses requirements; knowledge ontology codifies scheduling experience; NLP interaction.

AI Autonomous Optimization

Auto-rescheduling for insertions & rush orders; real-time alerts; continuous learning.

AI Intelligent Decision

Dual‑mode AI & APS scheduling; multi‑source data fusion; multi‑objective optimization; dynamic bottleneck detection.

AI-Enhanced Collaboration

Breaks algorithm black box; transparent logic; human-machine collaborative decisions.

Application Scenarios

Discrete Manufacturing

Machinery, electronics, auto parts, medical devices. Handles frequent insertions & complex process constraints.

Heavy Industry & Large Equipment

Globally optimal scheduling for bottleneck equipment and assembly stations in long-cycle, complex-process scenarios.

Rush Order & Insertion Response

AI reschedules in seconds when rush orders, failures, or delays strike, minimizing plan disruption.

Pain Points

Experience-Dependent

Hard to codify expertise; scheduling capability drops sharply when key staff leave.

Slow Anomaly Response

Unable to anticipate failures or delays; stuck in reactive fire-fighting.

Opaque Logic

Black-box scheduling lacks explanation; managers struggle to trust results.

High Adjustment Cost

Plans are tightly coupled; manual tweaks trigger cascading conflicts.

Core Advantages

AI Business Understanding

Auto-parses requirements; knowledge ontology codifies scheduling experience; NLP interaction。

AI Autonomous Optimization

Auto-rescheduling for insertions & rush orders; real-time alerts; continuous learning.

AI Intelligent Decision

Dual‑mode AI & APS scheduling; multi‑source data fusion; multi‑objective optimization; dynamic bottleneck detection.

AI-Enhanced Collaboration

Breaks algorithm black box; transparent logic; human-machine collaborative decisions.

Application Scenarios

Discrete Manufacturing

Machinery, electronics, auto parts, medical devices. Handles frequent insertions & complex process constraints.

Heavy Industry & Large Equipment

Globally optimal scheduling for bottleneck equipment and assembly stations in long-cycle, complex-process scenarios.

Rush Order & Insertion Response

AI reschedules in seconds when rush orders, failures, or delays strike, minimizing plan disruption.

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