3 problems we solved with an internal logistics app

Many logistics companies face the same challenges: delivery delays, human errors in data entry, and a lack of visibility into what’s really happening in the field. These bottlenecks, although they may seem normal or part of “business as usual,” directly affect two critical aspects of any logistics operation: productivity and costs.

As a company grows, these problems stop being minor inconveniences and start becoming real obstacles to scaling. At Koud, we’ve supported several organizations in their digital transformation journeys, and this particular case clearly shows the impact that a well-designed solution can have. Here, I’ll share how we helped a national transport company solve three critical problems with a fully customized internal app.

1. Inefficient delivery tracking

Before: The operational staff used printed sheets to record deliveries. This led to frequent issues: lost paperwork, duplicated entries, missing critical data, and unreliable updates. Relying on paper meant that even simple corrections required rewriting or scratching out information—leaving uncertainty about which record was actually correct.

Solution: We developed and implemented a mobile application with barcode scanning and geolocated delivery confirmations. Every time a delivery was completed, the driver scanned the package and captured a digital signature or photographic proof directly from their smartphone. This data was automatically sent to the central system in real time.

Result: The transformation was immediate. Delivery recording errors were reduced by 85%, and both supervisors and end customers started receiving instant confirmations along with full traceability of every package. There were no more doubts about whether an order had been completed—and that generated confidence throughout the entire value chain.

2. Lack of visibility over routes and delivery times

Before: Supervisors had no reliable information about where drivers were or how long deliveries were actually taking. This lack of visibility created inefficiencies, avoidable delays, and a limited ability to react to unexpected issues.

Solution: We integrated a real-time GPS tracking module within the app, complete with alerts for route deviations or unexpected stops. Additionally, we included route performance metrics, average delivery times, and automated recommendations for route optimization.

Result: The company achieved a 22% reduction in average delivery times by optimizing routes and making decisions based on real data—not assumptions. Supervisors shifted from reacting late to proactively anticipating problems, which had a significant impact on overall efficiency.

3. Manual reports with little operational value

Before: Operational data arrived in inconsistent formats: emails, scanned sheets, even WhatsApp messages. On top of that, the reports were often outdated by days. This information chaos made serious analysis difficult and slowed down critical decision-making.

Solution: We developed an administrative dashboard connected to the mobile app, where team leads could visualize real-time metrics: daily deliveries, delays, reported incidents, vehicles on route, and other essential KPIs.

Result: With this tool in place, company leadership could make decisions based on real, live data—not assumptions. Plus, they gained the ability to respond immediately to operational problems, since key information was available on demand.

Why a custom internal app instead of a generic solution?

Many logistics companies try using off-the-shelf systems that promise to solve “everything for everyone.” But the reality is that every logistics operation is different. Routes, cargo types, customer needs, and even team structures vary widely from one business to another.

In this case, our client needed a solution that adapted to their real process—not the other way around. That’s why we built the app based on direct interviews with drivers and operators, field tests, and an iterative feedback cycle with the client’s team. That’s the real reason this solution worked.

Technology is powerful—but only when built from a deep understanding of specific problems. A generic app wouldn’t have achieved these results. A custom solution did.

.