What role do printers play in the AI and Automation Age for Logistics Companies?

The Role of Printers in the AI and Automation Age: Why Logistics Still Needs Paper—and a Smart Bridge to Digital

For decades, logistics was a paper-first industry. Shipping labels, packing slips, customs declarations, proof-of-delivery forms, and warehouse manifests have kept global trade moving. But as artificial intelligence and automation sweep through manufacturing and supply chains, the humble printer is often dismissed as legacy technology. That perception is changing, and Fujifilm is at the centre of the conversation with a simple but powerful argument: in the AI age, printers are not obsolete—they are the bridge between physical operations and intelligent digital workflows.

This matter is critical for the global manufacturing and trade sector because logistics remains stubbornly physical. Even the most advanced warehouse is still a place where goods are packed, labelled, and signed for. AI-driven systems need data—clean, structured, real-time data—to predict demand, reroute shipments, and automate customs clearance. But that data often begins on paper. The challenge is not eliminating paper overnight; it is digitising it efficiently, securely, and at a pace that fits real-world operations.

Fujifilm’s recent article, "Why Logistics Needs Printers in 2026," highlights how its Business Innovation (BI) portfolio helps logistics companies automate paperwork and digitalise gradually. The technical insight is grounded in hybrid workflow automation: networked printers and multi-function devices act as capture points, scanning documents into enterprise systems where optical character recognition (OCR) and AI tools extract key information. Once digitised, that data flows into transport management systems, ERPs, and customs platforms—enabling track-and-trace, automated invoicing, and exception handling. Meanwhile, print remains essential for output: dynamic labels for parcels, barcodes for sortation, and compliance documents that still require hard copy in many jurisdictions.

What makes Fujifilm’s approach notable is its emphasis on digitalisation "at your own pace." Many logistics SMEs and mid-sized manufacturers fear that adopting AI means a complete, costly overhaul of their infrastructure. That fear is legitimate. A sudden migration to a paperless, fully autonomous operation is rarely practical, especially when dealing with cross-border partners who may still rely on physical paperwork. Fujifilm’s printers and services are designed to fit into existing workflows first, automating piecemeal tasks like document capture, print-to-archive, and secure output. Over time, those incremental digital threads weave together into an intelligent system—without forcing a disruptive big-bang transformation.

For international manufacturing professionals and SMEs, there are several practical takeaways. First, look for opportunities to automate document capture rather than eliminate paper. A modern multi-function printer with scanning and OCR capabilities can instantly digitise bills of lading and delivery receipts, making them searchable and connectable to your TMS or ERP. Second, consider print infrastructure that is secure and compliant. Logistics documents often contain sensitive commercial and personal data; printers connected to the network are endpoints that must be protected. Fujifilm’s solutions, for example, include authentication and encryption features that reduce risk. Third, think about scalability. Choose devices that can support dynamic label printing, barcode generation, and high-volume scanning, so that when order volumes grow, your AI-enabled workflows can grow with them.

There is also a strategic lesson. The goal is not to choose between paper and AI. It is to use AI to make paper workflows smarter. In a world where customers demand faster, more transparent logistics, companies that digitise intelligently will gain a competitive edge. Printers, in this context, are not a contradiction to automation—they are an implementation tool for it. They allow human workers and digital systems to interact with minimal friction, capturing the physical realities of shipping while feeding the algorithms that optimise the network.

As 2026 approaches, logistics leaders should resist the temptation to treat print as a dying technology. Instead, they should ask: How can our print and capture infrastructure support our AI ambitions? The answer, as Fujifilm demonstrates, is to build a hybrid ecosystem—one where paper documents are not obstacles, but entry points to automation.

Source: Fujifilm [Global], "Why Logistics Needs Printers in 2026" — https://www.fujifilm.com/fbhk/en/solutions/insights/article/why-logistics-needs-printers-in-2026