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Logistics Exception Monitor

开发者: Adu | TechWithAdu

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先问开发者
Adu | TechWithAdu后台事务

买断

¥6,000

概览

The workflow checks your shipment data on a schedule and flags real issues the moment they happen: late deliveries, customs holds, missing proof of delivery, and stale tracking. For every exception, an AI agent drafts two things — a short internal summary and recommended action for your dispatch team, and a separate, professional update for the customer, written strictly from the actual shipment data with no invented details. High-severity issues (customs holds, significantly late loads) are automatically escalated to your dispatcher. Routine updates are sent straight to the customer. Every exception is logged for a full audit trail, and a built-in deduplication check stops the same issue from triggering repeat alerts. What's included: The full exception-detection logic (rule-based, not AI-guessed — so you always know exactly why something was flagged) AI-powered summary and customer-message generation, using a structured output format for reliable results Severity-based routing between dispatcher and customer Automatic logging to a spreadsheet for tracking and reporting Rate-limit-safe batch processing, so it runs reliably even with large shipment volumes Setup: Built on n8n with Groq for AI generation and Google Sheets as the data source — easily adaptable to a real TMS, tracking platform, or database with minor configuration changes. SMTP email delivery included, so it works with any email provider. Ideal for: freight brokers, 3PLs, and logistics operations teams who want to stop manually monitoring shipments and start getting notified only when something actually needs attention.

运营方式(开发者申报)

运行方式
自动完成
人工处理内容
"Setup, once: connect the store/order system and the notification channel (e.g. email or Slack) using the buyer's own credentials. Ongoing: review delay alerts and decide whether to contact the customer." If your workflow sends customer messages automatically with no review, say that instead. If nothing is needed after setup, write "None".
启动方式
定时运行
模型
GPT
工具
n8nGoogle Sheets
负责方
卖家
支持范围
初始设置修复故障
使用前/次
8 分钟
使用后/次
1 分钟
工作时间减少率
87.5 %
使用后的月工作时间
2.5 小时

根据卖家申报的同一任务使用前后时间计算,不代表自动化率或效果保证。

“AI员工”标签由运营方根据开发者申报的数值判定。

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  1. 01

    用银行卡一次性支付(Stripe)

  2. 02

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  3. 03

    确认内容并收货。之后不再计费

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