In logistics, the last mile is often the most complex and costly segment of the delivery chain. To overcome its challenges, many postal operators are turning to artificial intelligence (AI), computer vision, and mobile-first tools. Among the frontrunners, Swiss Post and PostNord have both taken bold steps to integrate smart technologies that transform how their teams operate on the ground.

Swiss Post’s Digital Shift

Swiss Post – Switzerland’s national postal service – has adopted Scandit Smart Data Capture, integrated into its custom-built Nemo mobile app. This technology is transforming how employees manage millions of deliveries each year by bringing real-time data capture and augmented reality (AR) into everyday workflows.

Modern Delivery, Powered by Smart Scanning

Swiss Post processes more than 200 million parcels and 1.7 billion letters annually. At this scale, efficiency is mission-critical. As part of a wider digital transformation agenda, the organisation has reimagined the way its last mile teams operate.

At the heart of this effort is Scandit’s smart scanning technology, embedded within the Nemo app used by delivery drivers on Samsung smartphones. But it’s not just about scanning barcodes – it’s about enabling intelligent, frictionless operations, guiding staff through tasks, and unlocking the power of real-time data.

PostNord’s AI Innovation

And Swiss Post isn’t alone. PostNord, the postal operator for Sweden and Denmark, has introduced an AI-driven Truck Utilisation system that uses computer vision to monitor fill rates and track loading/unloading turnover times across terminals. This GDPR-compliant solution leverages existing CCTV infrastructure, automatically anonymising individuals by masking them in blue. Already live in key locations, the system supports improved cut-off planning and smarter gate staffing – benefitting both operations and transport management.

“Technology is revolutionising parcel logistics – not by replacing people, but by empowering operators with real-time intelligence. PostNord’s AI-driven Truck Utilisation system is a world-first, turning ordinary cameras into engines of efficiency.” — Christian Oestergaard, Lead Visionary, PostNord

Tackling Last Mile Challenges Head-On

Before implementing Nemo, Swiss Post encountered many of the usual last mile bottlenecks:

• Manual sorting and inefficient route planning
• Wasted time locating parcels in crowded delivery vans
• Paper-based processes that increased the risk of human error

It became clear that basic digitisation wasn’t enough. Swiss Post needed to rethink how tasks were carried out – and that meant equipping frontline workers with intuitive, intelligent tools.

Smarter Scanning for Smarter Delivery

The result was the Scandit-powered Nemo app, which now supports more than 25 core delivery functions. From scanning and parcel tracking to route optimisation, it acts as a centralised hub for couriers.

One standout feature is MatrixScan AR, an augmented reality layer that visually overlays key information on the smartphone screen. It highlights the correct parcel at each stop and guides drivers to precise drop-off locations – reducing search times from minutes to seconds.

“Now drivers can find a package in the back of the van very quickly thanks to Scandit MatrixScan AR. They tell me scanning within the app is faster and easier to use. They love it!” — Sascha Zingg, IT/Business Unit Leader, Swiss Post

Lessons from Across the Sector

Swiss Post’s success reflects a broader movement in logistics and retail: organisations are moving beyond basic barcode scanning and embracing data-rich, intelligent solutions.

For instance:

• Zebra Technologies supports retailers like The Home Depot with tools such as SimulScan and Multi-Barcode Scanning APIs, enabling staff to scan multiple codes simultaneously – even on cluttered forms or packaging.
• FedEx Supply Chain Operational Intelligence platform, goes further by monitoring device performance, scan efficiency, and user behaviour across fleets – enabling proactive training and predictive maintenance.

Why Scandit Stands Out: The BYOD Advantage

What sets Scandit apart is its embrace of BYOD (Bring Your Own Device) strategies. With Scandit, postal workers can use standard smartphones as powerful enterprise-grade tools, cutting hardware costs while increasing operational flexibility.

The MatrixScan feature enhances this even further by combining AR with computer vision. Drivers can scan dozens of parcels in a single sweep, visually confirming which ones are missing or misplaced – something traditional handheld scanners can’t achieve.

While Zebra excels in fleet hardware and analytics ecosystems, Scandit’s edge lies in empowering frontline users – giving them the visibility and intelligence to make faster, smarter decisions in real time.

Results That Speak for Themselves

Since enhancing the Nemo app with Scandit’s smart scanning technology, Swiss Post has recorded significant benefits:

• Faster, more reliable deliveries – smoother workflows from depot to doorstep
• Improved onboarding and training – AR features help new drivers get up to speed quickly
• Higher employee satisfaction – intuitive tools reduce friction in daily routines
• Boosted customer experience – quicker service and fewer delivery errors improve satisfaction

“We’ve received a lot of applause in team sessions since we fully rolled it out. The whole team sees great advantages from finding the right parcel in the back of the van.” — Zingg adds

A Future-Proof Foundation – and an Emerging Industry Pattern

Swiss Post’s rollout hasn’t just delivered immediate operational gains – it’s also laid a scalable, future-ready foundation. With smart data capture at its core, the organisation can evolve alongside customer expectations and logistics demands.

This reflects a broader pattern seen across the industry. PostNord’s camera-based AI system and Swiss Post’s AR-powered scanning tool both demonstrate how postal operators are using real-time data, not to replace workers, but to empower them.

These two cases offer a shared blueprint:

• Equip frontline staff with intelligent, easy-to-use tools
• Harness real-time operational data for faster, smarter decision-making
• Build platforms that can scale and adapt over time

In a sector facing increasing complexity and competition, success on the last mile will come not from simply digitising old processes – but from reimagining them entirely.