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Supplier Historical Delivery Quality Scorecard API - Monthly Revenue 32K CNY

Workflow: An n8n workflow is automatically triggered every midnight to fetch nearly a year's worth of supplier order delivery reco

AGENT

Key Fields

FIELD STAMPS

IndustryE-commerce / Retail

RegionChina

ScaleSME

ChannelOnline

🔧 Workflow

An n8n workflow is automatically triggered every midnight to fetch nearly a year's worth of supplier order delivery records, incoming material inspection reports, and return data from cooperating clients' ERP systems, Excel ledgers, and EDI interfaces. Simultaneously, it crawls public judicial and administrative penalty data from China Judgment Online and Credit China. Using preset delivery fulfillment rates, quality compliance rates, and risk-weight models, it calculates a comprehensive score, automatically generates a scorecard with data traceability, and updates the subscription query portal and API interface for real-time calls by the client's procurement system. If a supplier's risk score drops sharply, an email alert is automatically triggered.

🛠 Setup Requirements

Requires a foundation in Python data cleaning and FastAPI interface development, as well as proficiency in n8n for workflow orchestration. In the early stages, you need to prepare 1 cloud server (2 vCPUs, 4GB RAM), supplier historical data templates, and scoring dimension rules. Technical requirements are moderate; an MVP version can be completed in 2-4 weeks. In the first month, 10% of random sample data requires manual verification to adjust weights, after which it can run fully automatically.

🧰 Toolchain

🔧 n8n
🔧 Python
🔧 Manus Supplier Management Tool
🔧 FastAPI

💰 Revenue

Stable monthly revenue of 32,000 CNY: Currently serves 10 small and medium-sized manufacturing enterprises with an annual procurement volume under 50 million CNY, charging a subscription fee of 3,200 CNY/month per client. Additionally, providing API call services charged at 200 CNY per 10,000 calls, existing clients average about 12,000 calls per month. Combined, the monthly revenue is approximately 34,400 CNY, with monthly revenue expected to exceed 50,000 CNY within half a year as the number of clients grows to 15.

💸 Cost

Server and interface hosting is about 300 CNY/month, n8n Team Edition subscription is about 500 CNY/month, public data crawling interface fees for China Judgment Online and Credit China are about 800 CNY/month, and occasional labor costs for manual data calibration are about 200 CNY/month. Total fixed monthly costs are approximately 1,800 CNY.

⏱ Time Investment

2 hours per day to maintain the data pipeline and exceptions in scores reported by clients, 1 hour per week to calibrate data weights, totaling about 12 hours per month.

🚀 Getting Started

Step 1: Contact the procurement heads of 3 local small and medium-sized manufacturing enterprises, help them organize supplier orders and quality inspection data from the past year for free, manually generate the initial scorecard, and collect dimension adjustment requirements. After confirming the scoring rules, develop the n8n automated data-fetching workflow, encapsulate the query interface with FastAPI, and let free trial clients test it for 1 month. Sign a formal subscription agreement after confirming the value.

🔑 Keys to Success

✅ Data integration and cleaning capabilities: Ability to stably connect to enterprise ERP/Excel and handle missing data to ensure input data quality.
✅ Scoring model transparency: Every deduction can be traced back to specific orders and quality inspection records so that buyers can trust it.
✅ Data traceability capability: Every scoring conclusion can be mapped to specific order numbers, inspection reports, and judicial documents to facilitate buyer evidence tracing.
✅ Lightweight deployment capability: No need for clients to replace their existing ERP systems; lightweight integration via Excel and EDI lowers the barrier to entry for clients.

⚠️ 风险

⚠️ Enterprise data authorization risk: Involves client historical orders and quality inspection data. Written authorization and non-disclosure agreements must be signed, otherwise, there are compliance hidden dangers.
⚠️ Data accuracy risk: Public judicial data has update delays, and some enterprise order data may be incomplete, potentially leading to scoring bias. A manual review mechanism must be established.
⚠️ Competitive substitution risk: Cloud-native procurement system vendors have built-in similar scoring functions. It is necessary to highlight the differentiated advantages of lightweight and low cost.

📌 Real Cases

📌 Manus Official Supplier Management Tool Case: Adopted by hundreds of SMEs, shortening the supplier performance evaluation cycle from an average of 7 days to real-time updates, and improving procurement decision-making efficiency by over 60% (Source: Manus Official Playbook).
📌 SkillsBot Platform afrexai-vendor-eval Supplier Evaluation Skill Case: Used by 200+ procurement personnel, covering 12 industries including manufacturing and retail, with a supplier risk identification accuracy rate of 87% (Source: SkillsBot Official Skills Page).
📌 DeepCheck Intelligent Bidding Evaluation Model Case: Adopted in a 2006 provincial government procurement project, improving efficiency in processing supplier qualifications and performance data by 10 times compared to manual work, and reducing the bidding evaluation error rate from 15% to below 3% (Source: Informatization Observation Network Case Report).

Sources