This was ongoing CRM automation work for a law firm.
The intake process had too many repeated manual steps: forms, tags, pipeline stages, reminders, smart lists, internal notifications, follow-up emails, and language-based routing.
I worked inside GoHighLevel to make the system more organized. That included form handling, opportunity creation, case-type tags, custom fields, smart lists, reminders, DND/unsubscribe handling, and Spanish lead branching.
The focus was not to make a fancy automation demo. The focus was to make the CRM easier for the team to use every day.
Your Logistics Team Shouldn't Have to Chase Every Shipment Manually. 🚢
A shipment is delayed. Your customer wants an update. Your operations team is checking carrier portals, copying tracking numbers into spreadsheets, and sending the same status emails repeatedly.
By the time everyone has the right information, the next shipment needs attention.
The problem isn't a lack of effort. It's disconnected logistics operations.
Common challenges:
Shipment updates scattered across multiple carrier systems.
Delayed shipments discovered too late.
Manual customer status emails.
Tracking spreadsheets that quickly become outdated.
Repetitive follow-ups between operations and customer service.
Limited visibility into shipment exceptions.
The solution: An automated logistics operations workflow built with n8n.
I can design an automation that connects carrier tracking APIs, your shipment database, and customer communication channels.
Instead of manually checking every shipment, your team receives structured updates when something actually needs attention.
What the automation handles:
📦 Shipment Tracking — Retrieve updates from supported carrier APIs.
📊 Operations Visibility — Maintain synchronized shipment records and exception histories.
🔁 Escalation Management — Notify the responsible team when an exception requires action.
The goal: Less repetitive tracking work, faster exception awareness, and more consistent customer communication.
Two ways we can work together:
Option 1: Already have carrier APIs, a TMS, or a defined tracking workflow? Share your requirements, and I'll help design the integration.
Option 2: Not sure which logistics tasks should be automated? We can map your shipment lifecycle and identify the highest-value starting point.
Make your logistics operations easier to manage as shipment volume grows.
Workflow architecture
Scheduled Trigger → Carrier API Request → Normalize Tracking Events → Match Shipment Records → Detect Status Changes → Route Exceptions → AI Summary → Customer Email / Operations Alert → Database Update
Implementation: Authenticate carrier integrations, normalize differing event codes, compare timestamps and event IDs, prevent duplicate alerts, route exceptions by severity, and log delivery failures for retry.
Benefits: Reduced manual tracking, clearer exception ownership, more timely customer updates, and an auditable shipment history.
Result: A centralized shipment monitoring workflow that allows operations teams to focus on resolving exceptions instead of repeatedly checking tracking portals.
The customs-hold exception is the one I'd find hardest to route, since it needs a different owner than a plain delay. Do you map each exception type to its own team in the escalation step, or is it one shared alert queue?
The 30–60 minute delay then 24-hour follow-up is a sensible cadence. The part I would harden next is the stop conditions: once the cart converts or the customer replies, every channel should cancel, and WhatsApp especially needs a clear opt-in trail before the first send....
I built an AI-powered Facebook Messenger Follow-up Automation workflow using n8n to help businesses reconnect with potential customers and reduce missed sales opportunities.
When a customer asks about a product but stops replying, businesses often lose track of the conversation. This workflow helps automate timely, personalized follow-ups while keeping customer experience in mind.
What the Workflow Does
Automated Follow-ups: Sends follow-up messages at the right time.
AI-Powered Personalization: Uses AI to generate personalized messages based on customer conversations.
Order Verification: Checks order status before sending reminders.
Communication Scheduling: Avoids sending messages during late-night hours.
Sales Support: Helps businesses reconnect with interested buyers and reduce manual follow-up tasks.
Tools & Technologies
n8n | AI | Facebook Messenger | Workflow Automation | Order Verification
Project Goal
Demonstrate how AI-powered automation can improve customer communication, streamline sales follow-ups, and create more opportunities for businesses to convert interested buyers.
This is a demo workflow showcasing the potential of AI automation for eCommerce businesses.
Services
I help businesses build AI-powered workflows, sales automation systems, customer support automations, and custom n8n integrations.
The late-night quiet hours are a nice touch. When a follow-up gets held for the morning, does the workflow re-check the order status at send time, or only when the reminder is first queued?