Build vs. Buy: Tools for planning and optimizing parcel locker networks

Parcel locker networks require strategic location decisions and continuous performance optimization. That puts parcel and postal operators in front of a key strategic choice: build custom software in-house or buy a specialized solution to plan and manage the network.

"Build" itself isn't one path anymore, either. Some operators form an engineering team to build tools from scratch. Others reach for AI app builders and prompt their way to a working tool. This guide walks through all options so you can decide what makes sense for your organization today and as your network scales.

You’ll find:

• Why teams choose to build
• Building with an in-house team
• Vibe coding a solution
• When buying off-the-shelf is the better path
• Criteria for evaluating tools
• Where the OOH Network Intelligence Platform fits in

Quick comparison of when to build vs. buy

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Vibe coding promises buy-like speed but comes with build-like ownership problems, minus the engineering team to manage them. More on that below.

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Building your own parcel locker analytics solution

Why teams choose to build

For some teams, building in-house is the right call. It usually comes down to:

• Speed - Evaluating and approving external vendors can take longer than just starting an internal project, especially with strict procurement processes. 
• Unmet needs by existing tools – When nothing on the market fits your workflow, building something that does can feel like the only option.
• Wanting an edge – Some teams see their approach to network planning as a genuine differentiator and want to own that logic, not run it through a vendor. 

The question is wether these reasons hold up once you factor in what building actually costs.

Building with an in-house team

The real cost of “we’ll just build this” is usually higher and slower than teams expect.

Time to value

Before writing the first line of code, your team needs to validate the idea's feasibility, plan the architecture and features. For companies where software development isn't the core business, this phase alone can take 6 months. By the time you’ve tested and deployed the software solution, there is a great chance competitors have already secured premium locations. 

Development costs

To build custom software, you’ll need a dedicated engineering team, a product manager, and an infrastructure and database hosting solution. 

Let’s say you assemble a team of 6 engineers at an average salary of €45,000 per year, who can deliver an initial version in 6 months. That works out to €3,750 per engineer per month. Add a conservative €3,000 per month for infrastructure and database hosting.

In an optimistic* 6-month scenario, you're looking at:

_{*This assumes everything goes smoothly: no delays, no additional design or product management overhead, and engineers dedicated 100% to this project. In reality, most companies see 12–18-month timelines, which pushes the initial build costs into the €300–500K range.}

Ongoing ownership

Users will ask for new features, file bug reports, and escalate if something breaks. Someone has to own that, indefinitely.

The total cost of ownership compounds beyond the initial build. While maintenance costs vary depending on software's complexity and other factors, a conservative estimate is that annual software maintenance costs typically range from 15 to 25% of the original development cost.

Add the opportunity cost of delayed network expansion during development, and you're looking at significant ongoing investment.

Vibe coding a solution

Vibe coding skips the engineering team altogether. You can prompt an AI app builder and get something working in a couple of days.

AI app builders are genuinely useful for prototypes and quick internal experiments. But production software is different, it needs code you can actually inspect and governed access to enterprise data.

Most of these builders own the infrastructure underneath what they generate. Fully prompting your way to an app is often a trade, you give up control in exchange for speed.

And without a technical team backing the effort, problems surface fast:

• Gaps in technical knowledge often lead to frustration, code that breaks and security concerns. 
• Organizational friction rises, the project loses priority as bandwidth runs out, or IT flags it during a compliance review.