Artificial intelligence is rapidly transforming intralogistics. In warehouses and production environments within the packaging industry, AI helps companies utilise data more intelligently, reduce manual labour and organise processes more accurately, safely and efficiently. From barcode recognition and visual quality control to predictive maintenance and route optimisation: AI not only makes the internal logistics chain faster, but also more future-proof.
For Empack, as an event organiser for the packaging industry, this development is therefore of great importance, as packaging, automation and intralogistics are becoming increasingly interconnected.
AI is no longer a distant prospect. In modern warehouses, pallets are counted automatically, labels and barcodes are read without human intervention, and damage to packaging is quickly detected. Whereas many processes previously relied on manual checks, AI makes it possible to process large volumes of data in real time and convert it directly into actionable insights. This results in fewer errors, greater speed and improved flow of goods.
AI as the eyes and ears of the warehouse
One of the greatest strengths of AI in intralogistics is that the technology acts as the eyes and ears of the warehouse. Sensors on vehicles and other equipment can continuously monitor the condition of machinery. Rather than only intervening when a machine breaks down, companies can use AI to predict with increasing accuracy when a component is due for maintenance or replacement. This reduces unplanned downtime and increases the reliability of processes.
Other data sources also play an important role here. Sensors in floors, shelves, racking, packaging and pallets make it possible to track movements and determine more efficient routes within the warehouse. Add camera footage to this, and a even more comprehensive picture emerges of what is happening in the internal logistics environment. AI can combine, interpret and convert this data into concrete process improvements.
Why AI can do more than traditional logistics software
What sets AI apart from traditional software is its ability to process unstructured data, such as images, videos and complex combinations of signals from multiple systems. Whereas conventional software often follows fixed rules, AI learns from patterns in data. This enables the technology to adapt more effectively to changing conditions in the warehouse, such as damaged labels, unusual packaging shapes or fluctuating goods flows.
The 5 Vs of big data make AI valuable
The effectiveness of AI stands or falls on the quality of the data, and this is explained by the five V’s of big data: volume, velocity, variety, veracity and value. The more relevant data that is available, the better AI can recognise patterns. But it is just as important that this data is up to date, comes from various sources and is sufficiently reliable to act upon. Ultimately, this is not just about saving time or cutting costs, but also about enhanced safety, greater predictability and stronger competitiveness.
For companies in the packaging industry, this means that data-driven working is increasingly becoming the norm. Not only to make processes more efficient, but also to make better decisions regarding capacity, maintenance, quality and automation.
Working smarter with existing systems
A key advantage is that companies do not always have to start from scratch when implementing AI. Many warehouses already have digital systems in place that collect data, such as WMS, ERP and tracking systems, sensors or cameras. The big step often lies not in purchasing entirely new infrastructure, but in connecting existing systems more intelligently. When these systems communicate effectively with one another, a connected environment is created in which AI can truly offer added value.
Moreover, this connectivity forms an important foundation for further automation. Consider autonomous vehicles that use cameras, sensors and laser detection to interpret their surroundings and navigate safely through the warehouse. Such applications demonstrate that AI is not separate from automation, but is in fact an essential catalyst for it.
This development is particularly important for the packaging industry, as packaging and intralogistics are, in practice, inextricably linked. The way in which products are packaged, moved, inspected and stored has a direct impact on efficiency, quality and delivery reliability. Innovations in AI and data-driven warehouse management therefore affect not only logistics processes, but the entire operational chain.
Empack regards smart automation as a priority
For Empack, as an event organiser for the packaging industry, it is therefore essential to pay attention to these developments. Innovation in packaging does not stop at materials, machinery or design, but also extends to logistics, data and automation. Empack believes it is important to bring the industry together around themes such as AI, smart intralogistics and digitalisation.
By connecting professionals, technology partners and decision-makers, Empack aims to contribute to knowledge-sharing and tangible progress within the sector. For it is only by making innovation visible and open to discussion that the packaging industry can continue to adapt to a market that is becoming faster, more complex and more demanding.
Sources:
Clockwords, How does AI help to automate logistics processes?
https://clockworks.co/blog/hoe-helpt-ai-logistieke-processen-automatiseren
Motrac, AI in intralogistics processes
https://www.motrac.nl/nl/actueel/ai-intra-logistiek-hoe-kan-het-gebruik-van-data-een-warehouse-slimmer-maken
