Multiple Stops with the Same Address in Route Planning

Reading Time: 5 minutes

Updated on: May 3, 2026

Reading Time: 3 minutes

TL;DR: Multiple stops with the same address require route optimization tools that use GPS coordinates, not just address strings, to properly group and sequence deliveries. Smart routing systems prevent drivers from unnecessary backtracking between different units, floors, or entrances at the same building location. Route optimization tools like Zeo Route Planner address this with AI-powered route optimization and auto-assignment of stops, helping delivery teams save 2+ hours daily.

Let’s paint a picture: you’re cruising through your route, checking off deliveries, and then your next stop pops up, “123 Main Street.” You think, “Great, that’s an easy one.” But as you pull in, reality hits: there’s more than one delivery at that address.

“123 Main Street” might sound simple enough. But in reality, you’ve got multiple stops with the same address for different units or entrances. One’s for Apt 201, another’s for Apt 305, and you’ve got deliveries for a few different floors. Suddenly, that one “simple” address turns into a tangled mess of entrances, hallways, and repetitive backtracking.

Most people assume that deliveries with the same address are the same stop. But when it comes to route planning, it’s not that simple. And sadly, most route optimization tools don’t do enough to fix it. The result? A confusing web of inefficiency that slows you down and eats away your delivery time. Let’s break down exactly why this happens and how it impacts you.

The Hidden Costs of Address-Based Routing Mistakes

When route planners treat apartment buildings, office complexes, or multi-tenant facilities as single stops, the real-world impact goes beyond simple inconvenience. According to the U.S. Department of Transportation, inefficient routing can increase delivery costs by 20-40% through wasted fuel, extended driver hours, and missed delivery windows.

Consider a typical apartment complex scenario: your route planner shows three deliveries at “789 Oak Street” as consecutive stops. But in reality, one delivery goes to Building A (front entrance), another to Building C (rear parking area), and the third to the leasing office. Without proper coordinate-based grouping, drivers often complete one delivery, drive to the next “address,” realize they’re back at the same complex, and waste valuable time retracing their steps.

Decoding What “Same Address” Really Means in Routing Logic

At first glance, it seems like multiple stops with the same address should be easy to handle. You pull up to “123 Main Street” and just walk around the building, right? Not exactly.

Here’s the thing, just because two deliveries share the same address doesn’t mean they should be treated the same. The key here is location coordinates – the latitude and longitude. Address strings are nothing more than a label, while location precision, via lat and long coordinates, is the differentiating factor when it comes to last-mile logistics.

The Difference Between Address and Location Coordinates

Let’s dig a little deeper. When you think about an address, you’re typically looking at a string like “123 Main Street” or “456 Oak Drive.” But what’s actually more useful in route planning are the GPS coordinates, latitude and longitude. That’s the actual pinpoint of where a delivery is going.

Now, imagine this: “123 Main Street” might represent the building, but inside, you’ve got different units, entrances, or floors. One delivery might be for “123 Main Street Apt 201,” another for “123 Main Street Apt 305.” These aren’t identical stops just because they share the same building address. Each unit has its own entry, often with different delivery instructions.

So, although your route planner might see “123 Main Street” and “123 Main Street Apt 201” as identical, the delivery experience is different. A different unit number, a different floor, or even a different side entrance can turn what should be one stop into a chaotic mess of unnecessary back-and-forth.

Why Traditional Address Matching Falls Short in Complex Delivery Scenarios

Most basic routing systems rely on address string matching, which creates problems in real-world delivery environments. Research from the Bureau of Labor Statistics shows that delivery drivers spend an average of 21% of their time navigating between stops rather than completing actual deliveries.

The challenge becomes even more complex in urban environments with mixed-use buildings. A single address might house retail stores on the ground floor, offices on floors 2-5, and residential units above. Each destination requires different access points, delivery procedures, and time allowances. When routing software doesn’t distinguish between these distinct delivery contexts, it creates cascading inefficiencies that compound throughout the day.

Additionally, many buildings use internal addressing systems that don’t translate well to standard geocoding. Suite numbers, unit letters, and building designations often get lost in translation when converted to basic latitude and longitude coordinates, leaving drivers to figure out the specifics upon arrival.

How Route Planners Should Interpret ‘Multiple Stops with the Same Address’

If your route optimization tool is still treating the address as a string of letters, your last-mile logistics is already behind! An address is much more than a series of words put together. Ideally, your route planner should be smart enough to leverage location coordinates – latitude and longitude – to pinpoint the exact location of your stop.

As we’ve covered earlier, there can be multiple stops with the same address. Your route planner must understand that. It should group the different stops that fall under the same latitude and longitude coordinates.

increase fuel savings

Save $200 on fuel, Monthly!

Optimize routes with our algorithm, reducing travel time and costs efficiently.

Get Started for Free

Though they are clubbed under the same address, these substops should be independently tracked in the routing tool. This will give you complete clarity on your delivery progress and next steps. When route optimization tools club the stops based on their latitude and longitude coordinates, your delivery performance steps up to the next level.

Advanced Routing Strategies for Multi-Stop Address Optimization

Smart routing systems go beyond basic coordinate grouping to optimize the sequence of multiple deliveries at the same location. The most effective approach considers factors like building layout, access restrictions, and delivery time windows to create logical stop sequences.

For example, in a high-rise office building, an optimized route might sequence deliveries from top to bottom if elevators are slow, or group deliveries by building wing if horizontal navigation takes longer. The best route planner apps for business incorporate these nuanced optimization parameters rather than treating all same-address stops as interchangeable.

Time window constraints add another layer of complexity. When multiple deliveries at the same address have different delivery windows, smart routing must balance location efficiency with customer expectations. This requires dynamic sequencing that can adjust based on real-time conditions and delivery progress throughout the day.

The Zeo Perspective

Zeo Route Planner understands the challenges and needs of its users. We design solutions that cater to your needs and help you improve performance, efficiency, and customer experience. Multiple stops with the same address can create confusion and hamper your efficiency.

But we’ve the solution.

To enhance your last-mile logistics efficiency and tackle the challenge of multiple stops with the same address with ease, we’ve introduced the Multiple SKUs feature. It uses latitude and longitude coordinates to identify the stops falling under the same location. It then effortlessly groups the same address stops while allowing you to track them separately.

The multiple SKUs feature is designed to eliminate stress, confusion, and frustration for drivers and help them improve efficiency, reliability, and performance.

Curious to know how it works? Why the wait? Schedule a free demo now and experience the magic yourself.

Frequently Asked Questions

Why do some deliveries to the same building take longer than others?

Different units within the same building often have varying access requirements, security protocols, and physical locations that affect delivery time. Factors like elevator wait times, parking availability, and building layout can create significant time differences even when the street address is identical.

How should delivery drivers handle multiple packages for the same address?

Drivers should verify all deliveries for the same address before leaving their vehicle, organize packages by unit number or recipient, and plan their route through the building to minimize backtracking. Checking delivery notes for special instructions about entrances or access codes can prevent multiple trips.

What’s the difference between geocoding and address validation in routing?

Geocoding converts addresses into GPS coordinates (latitude and longitude), while address validation ensures the address format is correct and deliverable. Both processes are essential for accurate routing, but geocoding provides the precise location data needed for efficient route optimization.

Can route optimization software automatically group apartment deliveries?

Advanced route optimization tools like Zeo Route Planner use coordinate-based grouping to automatically cluster deliveries at the same location while tracking each stop independently. This AI-powered route optimization eliminates manual sorting and reduces delivery time significantly.

How do time windows affect multiple deliveries at the same address?

When different deliveries at the same location have overlapping time windows, smart routing systems can sequence them efficiently during a single visit. However, conflicting time windows may require separate trips, which route planners must account for when calculating optimal delivery sequences and driver schedules.