Logistics Supply Chain Google Sheets API Integration Transportation

Estimate Driving Time & Distance for Logistics with Open Route API

Automate truck route calculations between cities. Pull coordinates from Google Sheets, query OpenRouteService API, and update results automatically.

Download Template JSON · n8n compatible · Free
Visual diagram showing logistics automation workflow connecting Google Sheets to OpenRouteService API

What This Workflow Does

Manual route planning for truck shipments is time-consuming, error-prone, and doesn't scale. Logistics teams often rely on rough estimates or manual lookups to calculate distances and travel times between cities, leading to inaccurate cost forecasts, inefficient fleet utilization, and missed delivery windows.

This n8n workflow automates the entire process. It connects directly to a Google Sheet containing your shipment lanes (with departure and destination coordinates), queries the OpenRouteService API using the truck-specific routing profile, and returns precise distance (in meters), travel time (in seconds), and route step details. The results are then written back to your spreadsheet, creating a live, accurate database for logistics planning.

How It Works

The automation follows a logical, step-by-step process to transform raw coordinates into actionable logistics data.

Step 1: Load Route Data

The workflow starts by reading your Google Sheet. Each row should contain pairs of coordinates (latitude/longitude) for origin and destination cities. This setup is ideal for maintaining a master list of common shipping lanes.

Step 2: Loop Through Each Record

n8n processes each row individually, ensuring every route pair is calculated accurately. This batch handling is perfect for weekly planning or updating a large lane database.

Step 3: Query OpenRouteService API

For each pair, an HTTP request is sent to the OpenRouteService API using the 'driving-hgv' (Heavy Goods Vehicle) profile. This is critical—truck routing accounts for restrictions, road types, and regulations that car routing ignores.

Step 4: Extract and Transform Results

The API returns a detailed route summary. The workflow extracts the total distance, total duration, and number of maneuvers. This data is cleaned and formatted for easy consumption.

Step 5: Update Your Spreadsheet

Finally, the calculated values are written back into new columns in the same Google Sheet. Your team now has an automated, up-to-date routing table.

Pro tip: Use this workflow as a foundation for a logistics control tower dashboard. The output can feed into cost-per-mile models, CO2 emission calculators, or driver scheduling systems.

Who This Is For

This template is designed for businesses and teams that manage transportation and need accurate, automated route data.

Logistics Managers & Dispatchers: Perfect for creating reliable cost estimates and planning efficient truck routes without manual map searches.

Supply Chain Analysts: Use the output data for network optimization studies, warehouse location analysis, and transportation cost modeling.

Freight Brokers & 3PLs: Quickly generate accurate quotes for customers based on real distance and time, improving professionalism and win rates.

Sustainability Teams: Accurate distance data is the first step in calculating and reporting on transportation-related carbon emissions.

What You'll Need

  1. A Google Sheet with at least four columns: Origin Latitude, Origin Longitude, Destination Latitude, Destination Longitude.
  2. A free OpenRouteService API key (sign up at openrouteservice.org). The free tier offers ample requests for typical logistics planning.
  3. An n8n instance (cloud or self-hosted) to import and run the workflow.
  4. Basic familiarity with connecting n8n to Google Sheets (via OAuth) is helpful but not required—follow the sticky notes in the template.

Quick Setup Guide

You can have this automation running in under 15 minutes.

  1. Download the template using the button above and import it into your n8n workspace.
  2. Set up the Google Sheets connection. Use the OAuth credentials in n8n to grant access to your spreadsheet. Update the 'Sheet ID' and range in the first node.
  3. Add your OpenRouteService API key. Paste your free key into the HTTP Request node's authentication field.
  4. Test with a single row. Execute the workflow once to ensure data flows correctly from Sheets → API → back to Sheets.
  5. Schedule or trigger it. Set the workflow to run on a schedule (e.g., weekly) or trigger it manually when your lane list updates.

Pro tip: Before running on your full dataset, test with 2-3 known city pairs to validate the accuracy of the returned distances and times against Google Maps or your existing records.

Key Benefits

Eliminate Manual Errors: Replace prone-to-error manual lookups with consistent, automated API calls. This ensures every calculation uses the same logic and data source.

Scale Your Planning: Calculate hundreds of routes in minutes, not days. This scalability is essential for growing businesses or complex network analyses.

Improve Cost Accuracy: Precise distance and time data leads to more accurate fuel cost forecasts, driver wage calculations, and customer pricing.

Enhance Operational Agility: With an automated system, you can quickly model "what-if" scenarios, like adding a new warehouse or servicing a new region.

Build a Data Foundation: The output creates a clean, historical dataset for analyzing trends, benchmarking performance, and reporting on logistics KPIs.

Frequently Asked Questions

Common questions about logistics route automation and integration

Automating logistics route planning is crucial because it directly impacts operational costs, delivery times, and customer satisfaction. Manual calculations are slow, error-prone, and don't scale. Automation ensures accurate, real-time data for better decision-making, reduces fuel consumption, and helps optimize fleet utilization.

For example, a distribution center manually planning 50 daily routes might spend hours with inconsistent results. Automation delivers precise calculations in seconds, allowing planners to focus on exceptions and strategy rather than data entry.

APIs like OpenRouteService provide accurate, real-world routing data including distance, travel time, and turn-by-turn directions. They account for road types, traffic patterns, and vehicle profiles (like trucks). This allows businesses to move from rough estimates to precise calculations, improving cost forecasting and service reliability.

Unlike static distance tables, APIs use updated map data and sophisticated algorithms. This means your logistics planning reflects actual road networks, including restrictions that affect trucks, leading to more realistic schedules and budgets.

Integrating Google Sheets with routing APIs creates a centralized, accessible system for logistics teams. Route data can be stored, updated, and shared easily. Calculations become automatic, eliminating manual entry errors. This setup is perfect for control towers, cost simulations, and collaborative planning without complex software.

Teams can maintain a single source of truth for all shipping lanes. When a new lane is added, the automation calculates its details instantly, and the entire team sees the updated information without waiting for IT support.

Consider accuracy of routing data, vehicle profile support (trucks vs. cars), API cost and limits, ease of integration with your existing systems (like TMS or spreadsheets), and the ability to handle batch calculations. Look for tools that offer customization for specific business rules and reporting needs.

Flexibility is key. The best tool adapts to your process, not the other way around. It should connect to your data sources, handle your volume, and produce outputs in the format your team uses daily.

Yes, significantly. Accurate route planning reduces unnecessary mileage, which directly lowers fuel consumption and CO2 emissions. Automation helps identify the most efficient routes, supports load optimization, and provides data for sustainability reporting. It's a practical step toward greener logistics operations.

By optimizing just 10% of your routes, you could achieve substantial fuel savings and emission reductions. This data also strengthens your ESG (Environmental, Social, and Governance) reporting with verifiable metrics.

Common mistakes include using car routing for trucks (ignoring height/weight restrictions), not validating coordinate data quality, overlooking API rate limits, and failing to account for real-world factors like loading/unloading times. Start with a pilot, validate results against known routes, and gradually expand.

Always cross-check automated results with a few manual samples. Ensure your coordinate data is precise (city centers vs. specific facility addresses). Plan for API usage to avoid hitting limits during critical planning periods.

Yes, absolutely. GrowwStacks specializes in building tailored automation systems for logistics and supply chain businesses. We can integrate with your TMS, add CO2 emission calculations, create custom dashboards, and handle complex business rules. Book a free consultation to discuss your specific needs.

Our team understands the unique challenges of transportation logistics. We build systems that fit your workflow, connect your existing tools, and deliver measurable ROI through time savings and improved decision-making.

  • Integration with Transportation Management Systems (TMS)
  • Custom reporting and KPI dashboards
  • Multi-stop route optimization and load planning

Need a Custom Logistics Route Automation?

This free template is a starting point. Our team builds fully tailored automation systems for your specific business needs.

Get Free Consultation → Browse More Workflows