← Sticker Wall MODEL · DETAIL

AI No-Code Lightweight Manufacturing SaaS Delivery Model

1) Project Implementation: Charging implementation fees per project delivery, approximately 300,000 RMB per project; 2)

MODEL

Key Fields

FIELD STAMPS

IndustrySaaS / Enterprise Software

RegionChina

ScaleMid-size

ChannelOnline

📌 Background

Traditional MES and ERP systems are quoted on a man-day basis and take months to implement, which strains the budgets and IT human resources of small and medium-sized manufacturing enterprises (SMEs). In 2026, AI no-code enables forms, workflows, and dashboards to be configured via natural language, significantly lowering the delivery barrier while still charging around 300,000 RMB per implementation project (based on internal card project figures, not yet independently verified). Customers such as Zhejiang Lilian and Jiangsu Wantai Power completed their project delivery model transformation using this approach.

👤 Target Customers

SME manufacturers (such as machining and power equipment plants), purchased by corporate IT or business departments.

💰 Revenue Streams

1) Project Implementation: Charging implementation fees per project delivery, approximately 300,000 RMB per project; 2) Platform Subscription: Annual platform subscription and advanced value-added module fees charged annually; 3) Customization and Training: AI scenario customization and training charged per project or session; 4) Industry Template Licensing: Licensing fees based on template libraries (opportunity item, revenue volume unverified).

🧮 Cost Structure

Platform R&D and AI computing power costs; implementation and delivery labor costs; customer acquisition costs.

🛡️ Moat

Extremely low delivery threshold brought by AI no-code flexible configuration capabilities; accumulated general template library for discrete manufacturing industries.

🔑 Keys to Success

Minimalist delivery workflows and project-based management
Accumulation of discrete manufacturing industry templates
AI automated form and workflow generation capabilities

⚠️ Risks

Renewal failures caused by tightened SME IT budgets
Delivery cost out of control due to excessive customization requirements

🏢 Cases

Zhejiang Lilian achieved a project delivery model transformation through the Qingliu platform
Jiangsu Wantai Power used Qingliu to implement manufacturing business management

📊 SWOT Analysis

Strengths

Fast deployment and lightweight nature, highly aligned with the transformation pain points and budgets of SMEs

Weaknesses

Difficult to replace heavy ERP systems for complex large-scale production collaboration and cost accounting

Opportunities

Continued explosion of demand for digital penetration among China's massive SME manufacturing sector in 2026

Threats

Traditional ERP giants accelerating their move downmarket into lightweight solutions, triggering price wars

Sources