Tech4Biz

AI-Driven Container Management with n8n + HookPilot

Modern logistics demand automation, precision, and scalability — especially when it comes to container allocation and tracking. At Tech4Biz, we designed an intelligent, low-code solution using n8n and HookPilot, automating container booking, dispatch, tracking, and notifications with smart workflows and spreadsheet-based infrastructure.

Project Goals

  • Automate container tracking and allocation workflows
  • Integrate APIs for ERP, GPS, and logistics
  • Predict delays and optimize routes with AI

     

Reduce human effort via smart conditional logic and notifications

Automation Highlights

1. Container Booking Request Automation

Trigger (HookPilot): Google Form submission

  • HookPilot captures form responses like origin, destination, cargo type, and weight

  • Sends data via HTTP to n8n webhook

n8n:

  • Validates inputs (e.g., required fields, valid weight)

  • Checks a Google Sheet for available containers

  • Allocates if available, otherwise rejects with reason

  • Calculates ETA (+5 days) and returns a structured response

2. Smart Allocation & Dispatch

n8n:

  • Allocates nearest available container (basic matching now, scalable to include Google Maps/OpenRoute APIs)

     

  • Updates status in Google Sheets

     

  • (Optional) Future integration with ERP/WMS

Sample Google Sheet Structure (Container DB)

Fixed Container Table
Container ID Type Status Location
C001 Standard Available Port A
C002 Refrigerated Available Port A
C003 Standard In Use Port B

3. Real-Time Container Tracking (Coming Soon)

  • IoT/MQTT or GPS webhooks to n8n
  • If deviation or delay → trigger AI prediction
  • Updates internal dashboards
  • Notify stakeholders via Slack or email

4. Automated Status Updates

Trigger: Checkpoints like customs cleared, port arrival, delivery

  • Webhooks or ERP events push to n8n
  • Lookup customer preferences
  • Send via WhatsApp, email, or SMS using HookPilot integrations

5. AI-Powered Delay Prediction

n8n:

  • Collects GPS + historical traffic data
  • Sends to internal ML API
  • Predicts delays due to weather, port congestion, etc.

     

If delay > threshold:

  • Notifies ops team
  • Suggests reroutes

     

Auto-creates escalation threads (Slack, Jira, etc.)

6. Maintenance Automation

n8n:

  • Monitors last service dates

     

  • Flags containers exceeding lifecycle or safety thresholds

     

HookPilot:

  • Notifies maintenance vendors via CRM

     

Assigns and logs service events

AI-Augmentation Opportunities

  • Predict optimal container routes
  • Forecast delay risks
  • Auto-tag risky containers

     

Analyze GPS anomalies and logs

Why Use n8n + HookPilot Together?

Task Table
Task Type Tool Why
API orchestration, logic n8n Ideal for advanced branching, API calls, and integrations
Form triggers, team notifications HookPilot Easy to build UI, quick to deploy, great for non-dev teams
AI + ML API interaction n8n Handles complex JSON + HTTP logic for AI models
Escalations, alerts HookPilot Simplifies messaging workflows, even without APIs (via Sheets, etc.)

Flow Overview

[HookPilot: Google Form] 

    ↓

[n8n: Validate Inputs + Check Container Sheet] 

    ↓

[Assign Container or Reject] 

    ↓

[Calculate ETA] 

    ↓

[Respond via Webhook]

Future Enhancements:

[IoT Webhook] ─ [n8n: ETA Predictor + Route Validator] 

                            ↓

         [AI Delay Model + Escalation Logic]

                            ↓

        [HookPilot: Client Notifications + Ops Alert]

Real-World Benefits

  •  Time Saved: No manual allocation checks

     

  •  Error Reduction: Automated validation + status tracking

     

  •  Integrations Ready: GSheets, Slack, APIs, GPS, CRM

     

 AI-Ready: Delays, optimization, and risk prediction in the pipeline

Hey

I'm Jassim!

jazze (1)
DevOps Engineer at Tech4Biz, 
contributing to the development and Built a no-code workflow using HookPilot to automate AI Email creation. When a new content link is added to Google Sheets, ChatGPT summarizes it and generates a polished content which is then sent in real-time via   API—saving hours of manual work and ensuring consistent.

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