Packaging Data Reveals a £200,000 Automation Opportunity
Packaging optimisation is moving beyond faster machines and smaller boxes. For industrial operators, the more important question may be whether the system is using the right combination of materials, dimensions and automation settings.
A case discussed by Victor Queiroz of CMC Packaging Automation illustrates the potential. The company involved believed its automated packaging process was already performing efficiently. A closer review of its operational data, however, showed that introducing one additional corrugated material width could reduce annual material expenditure by approximately £200,000.
Efficiency is broader than box size
The example challenges a common assumption in automated fulfilment: that producing smaller packages is always the best route to lower costs. Box dimensions matter, but they are only one part of the equation. Material consumption, packing labour, storage requirements, transport charges and returns can all influence the total cost of an order.
Data-led analysis can expose losses that are difficult to see during routine production. A packaging line may be running reliably while still using a material specification that creates unnecessary waste or limits the range of orders it can process efficiently.
Integration becomes the next test
Packaging automation also has to work in step with warehouse systems. Poorly balanced processes can create bottlenecks between picking, packing and despatch, reducing the value of investment elsewhere in the operation. The discussion also considers how more autonomous fulfilment environments could change the role of packaging equipment.
For companies assessing new technology, payback is a central consideration. Some automated packaging projects are targeting returns within 12 to 18 months, although the achievable result depends on the operation, product mix and material strategy. The wider lesson is that an audit of existing packaging data may uncover savings before a complete system replacement is considered.
