How to Plan A Delivery Route With Excel (With FREE Template)

Updated on: October 20, 2026

TL;DR: You can plan a delivery route with Excel by organizing addresses, order IDs, and priority fields in columns, then pairing that data with a mapping tool like Google Maps to visualize stops. This manual method works for small teams but becomes time-consuming as stop counts grow. Route optimization tools like Zeo Route Planner address this with AI-powered route optimization, helping delivery teams save 2+ hours daily.

Fast, effective, and efficient delivery route planning forms the backbone of smooth logistics operations. Hence, last-mile delivery market is expected to grow at an 8.8% CAGR through 2030 from $132.71 billion in 2022.

Also, last-mile delivery accounts for 53% of total shipping costs (as of 2026). So, route optimization remains essential to cutting expenses and improving efficiency, a point reinforced by the U.S. Bureau of Transportation Statistics, which tracks freight and delivery cost trends nationally.

Excel offers simplicity and cost-effectiveness in route planning. A proper setup in Excel helps prioritize delivery group stops efficiently and even integrates with Google Maps for navigation.

Let’s unpack how to plan a delivery route using Excel, along with a free template to help you get started.

Delivery route planning with spreadsheets

Microsoft Excel might not be the first tool that comes to mind when planning delivery routes. However, small teams with limited technology access may opt for this.
Indeed, it is a manual process that is prone to errors. Still, if you follow the correct methods, it can get the work done.
Let’s explore how it all works.

Delivery route planning with spreadsheets

Businesses use spreadsheets for various purposes. The main task for the delivery route is listing orders, addresses, and schedule details in neat columns.

Formulas coupled with built-in features in Microsoft Excel can help identify urgent trips and addresses that are close together. It’s a basic version of route optimization software, but it’s definitely handy for those who want a
quick solution.

How do you make it happen in Excel?

With Excel at the center of your delivery route planning, there are several steps you need to take.

These are as follows:

1. Data Organization: Organize your orders, addresses, and order IDs in clear rows and columns. Also, add extra fields such as delivery deadlines and special instructions.
2. Sorting & Filtering: Excel’s sort functions enable grouping deliveries by location or time slots to reduce guesswork when planning multiple drop-offs.
3. Distance Estimation: While Excel doesn’t come with built-in distance calculators, you can use simple data entry or formulas to track distances if you have them.
4. Time Slot Prioritization: Some orders need to be delivered before a specific time. Create a “priority” column and mark these orders so that you can schedule them first.
5. Color-Coding & Conditional Formatting: Use colors to highlight urgent orders or tasks that are behind schedule. This offers a quick snapshot of what needs attention.

The above steps can provide more structure for your daily tasks. It’s a bit manual compared to modern route optimization software, but it’s a great way to ensure everyone on your team is on the same page.

Using Excel with Google Maps route planner

Pairing Excel with Google Maps can give your team even more clarity. Think of Excel as your data storehouse and Google Maps as your route visualization tool.

Together, they pack a punch when it comes to delivery route planning.

Example:
If you have 10 addresses in central London, list them in Excel, export them to Google Maps, and shuffle them around to see different route options. Once you finalize your plan, update your Excel file. This old-school method is super-handy for smaller-scale delivery route planning.

Here’s a simple way to do it:

Prepare Your Data in Excel:
List delivery addresses in one column. Add columns for order IDs, recipients’ names, and special notes.

• List Addresses: Create a column dedicated to delivery addresses. Ensure each address is complete and accurately formatted.
• Additional Details: To provide comprehensive information, include columns for order IDs, customer names, and any special delivery notes.

Generate a Shareable Link:
Copy your address column and prepare it for Google Maps. If you have many addresses, consider special add-ons (such as “Google Maps Excel Add-in” or scripts) that convert your list into a map-friendly format (CSV or plain text).

• Use an Online Tool: Utilize tools like BatchGeo to convert your Excel data into a map.
• Upload Data: Copy and paste your Excel data into the tool to generate a map with all your delivery points.
• Create Link: Once the map is generated, create a shareable link that your team can access.

Share with Your Team:
Next, you should let the last-mile delivery partners use this information. Therefore, there are a couple of steps to follow.

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• Distribute Link: Share the generated link with your delivery team, allowing them to access the planned routes on their devices.
• Real-Time Updates: Any changes made in the tool can be reflected in real-time, keeping everyone informed of updates.

Downloadable Excel Template

A Microsoft Excel workbook is available for download. It has customizable field for Addresses, Priority, Estimated Delivery Time, Order Notes, and more.

Download Delivery Route Planning Excel Template.

Using route optimization software to create better routes

While Excel combined with Google Maps is a good stepping stone, there are times when you need heavier horsepower. That’s where specialized route optimization software comes in.

Tools like the Zeo Route Planner take location data from multiple stops and figure out the shortest or fastest path in a flash. This can be a lifesaver when you’re juggling dozens or even hundreds of deliveries.

Zeo Route Planner, for example, is mobile-friendly, so drivers can see live routes, handle parcels, and even get analytics on route performance. These capabilities make scaling up easier, helping your team reduce wasted trips and stay focused on key tasks.

That’s the big difference compared to manually arranging routes in Excel—less guesswork, more real-time awareness, and happier customers.

Here’s what such a system does for you:

• Instant Sequencing: You load a bunch of addresses, and the software creates a smart route order.
• Group Management: In case you have multiple drivers, the app splits the deliveries and suggests separate routes.
• Tracking & Analysis: Some platforms include data on travel times, missed deadlines, and cost tracking.
• Easy Collaboration: Since most of these tools work with mobile apps, drivers get immediate updates on changes.

If your business handles specialized freight, methods for organizing stops in Excel share a lot in common with structured workflows used in construction delivery management, where prioritizing time-sensitive stops is equally critical. Teams managing recurring, high-value drop-offs may also find useful parallels in equipment delivery management practices that rely on structured scheduling and prioritization.

Conclusion

Excel is a great starting point for delivery route planning, especially for teams looking for a free and structured way to manage deliveries. It allows you to organize addresses and group stops and even integrate with Google Maps to visualize routes. However, as operations scale, Excel becomes time-consuming and lacks automation.

For businesses handling high-volume deliveries, switching to dedicated route optimization software like Zeo Route Planner is a game-changer. Unlike spreadsheets, Zeo Route Planner’s AI-powered route optimization auto-assigns stops and builds efficient sequences within seconds. Live GPS tracking, mobile access, and multi-driver support remove the manual hassle and help businesses cut costs while improving delivery speed.

Ready to move beyond manual route planning in Excel?
Book a demo for Zeo Route Planner to avail yourself of a smarter, faster, and more scalable solution that streamlines your deliveries.

Frequently Asked Questions

Can Excel handle route optimization for a large fleet?

Excel can organize addresses and priority levels, but it has no built-in logic to calculate the shortest or fastest path across dozens of stops. Once a fleet grows past a handful of vehicles, manual sorting becomes time-consuming and error-prone, which is why most growing teams eventually move to dedicated route optimization software.

What’s the maximum number of stops Google Maps can handle from an Excel list?

Google Maps typically limits route planning to around 10 stops per route when entered manually through the standard interface. For larger stop lists exported from Excel, businesses generally need a bulk upload tool or route optimization software that supports Excel, CSV, or Google Sheets import for hundreds of addresses at once.

How do delivery businesses calculate the most efficient route manually?

Manual route efficiency is typically estimated by grouping stops geographically, sorting by delivery deadlines, and minimizing backtracking between clusters of addresses. This approach works for small volumes but doesn’t account for real-time traffic, which is why FHWA traffic operations data is often cited as a reason dynamic routing tools outperform static spreadsheet planning.

What information should every delivery route spreadsheet include?

A solid delivery route spreadsheet should include columns for full addresses, order IDs, recipient names, delivery time windows, priority level, and special instructions. Adding a status column (pending, in-transit, delivered) also helps teams track progress without needing a separate system.

When should a business switch from Excel to route planning software?

Businesses typically outgrow Excel once they’re managing more than 15-20 daily stops, multiple drivers, or frequent last-minute schedule changes. Zeo Route Planner’s capacity-based routing and dynamic mid-shift adjustments help teams at this stage save 2+ hours daily compared to manually re-sorting spreadsheet data.