TL;DR
Get your next haul delivered free — and shop member deals
- Fast, free delivery on millions of items
- Access to Prime Big Deal Days deals on October 6–7
- Prime Video, Amazon Music and more included
Procter & Gamble is expanding its AI quality inspection system across manufacturing operations worldwide. P&G and Siemens said the system has reduced scrap by 10% to 20% on equipped lines and that new installations can be commissioned five to 10 times faster than traditional vision systems.
Procter & Gamble is expanding an AI quality inspection system across its manufacturing operations worldwide, taking a tool used on individual production lines toward broader company use. P&G and Siemens said the system has cut scrap by 10% to 20% on lines where it operates, depending on the product, and that new installations can be commissioned five to 10 times faster than the traditional vision systems they replace.
Called the Visual Inspection Cockpit, the system uses deep learning models to inspect products in real time at production-line speed. Siemens’ Industrial Edge hardware runs the models near the equipment, allowing defects to be identified so affected products can be removed before additional packaging, labor and machine time are spent on them. The companies said the technology can detect issues conventional cameras missed.
The system is designed for textured consumer goods, including diapers and wipes, whose materials can shift, stretch or wrinkle during production. Traditional rule-based cameras often need reprogramming when materials, packaging designs or line settings change. P&G and Siemens said plant engineers can configure, train and update inspection models themselves, without an on-site data science team.
P&G says the faster commissioning process makes it possible to reuse a standardized model and shared hardware across factories, training the system for each plant’s products instead of building a bespoke vision system for every line. The companies did not provide a total number of installations or a schedule for the worldwide expansion.
Less Scrap Across Factory Lines
The reported benefit is reduced waste, not increased sales: identifying defects earlier can prevent materials and production effort from being spent on products that must be discarded. If the reported reductions hold as P&G expands the system, they could support lower manufacturing costs across a large network of factories. The companies’ figures are self-reported and have not been independently verified.
The expansion also connects the inspection project to P&G’s broader Supply Chain 3.0 program, which targets up to $1.5 billion in cost-of-goods-sold savings. That target covers the wider program; the source material does not say how much of it the inspection system is expected to deliver. The system’s reported scrap savings therefore show one potential contribution, not a confirmed share of the overall target.
For manufacturers, the operational question is whether an AI tool that works on one production line can be installed and maintained across many sites. P&G and Siemens say new deployments take five to 10 times less commissioning time than traditional systems. That speed could help move the technology beyond isolated factory trials, though the companies have not disclosed how many plants have adopted it or results across the full network.
Top picks for "scrap killer global"
As an affiliate, we earn on qualifying purchases.
Supply Chain 3.0 Rollout
P&G’s Supply Chain 3.0 program is aimed at changing manufacturing operations and reducing costs. According to Supply Chain Dive’s report on P&G’s April 24 earnings call, CFO Andre Schulten said the program had moved into full scaling mode. P&G is targeting up to $1.5 billion in cost-of-goods-sold savings and has piloted a fully automated four-hour night shift in Berlin. Schulten said each automated shift can deliver productivity gains of 15% to 60%; that figure relates to automated shifts, not specifically to the inspection system.
The broader manufacturing backdrop includes a gap between testing advanced technology and scaling it across factory networks. The World Economic Forum’s Global Lighthouse Network counted 238 sites worldwide and describes its role as helping industry move beyond “pilot purgatory.” Analytical AI and machine learning made up about 62% of the solutions those sites ran in 2025, according to the supplied report. These figures provide industry context; they do not establish that P&G’s deployment has been independently evaluated by the network.
“We engineered this solution to solve a myriad of industry challenges traditional vision systems couldn’t touch.”
— Paul Thomas, P&G director of machine vision and applied AI
Scale And Savings Still Unclear
The 10% to 20% scrap reduction is based on figures from P&G and Siemens and has not been independently verified. The companies have not published the number of lines or factories where the system is currently running, a plant-by-plant breakdown, or the measurement period behind the reported reductions. The results also vary by product.
It is not yet clear how quickly P&G plans to install the system across its worldwide operations, how many sites are included in the expansion, or what portion of the Supply Chain 3.0 savings target it could contribute. The source material does not report the system’s deployment costs or provide a comparison of ongoing maintenance costs with those of conventional systems.
More Plants, Results To Come
P&G’s stated next step is to replicate the inspection system across manufacturing operations worldwide. The company has set 2030 as the target for completing Supply Chain 3.0, but it has not announced a deadline for completing this particular expansion. Further details on installations, operating results and cost savings would help show how the system performs beyond the lines described by P&G and Siemens.
The wider program’s progress is also expected to be tracked through P&G’s operating and financial updates. Schulten framed the remaining challenge as the speed of rollout; the companies have not provided a public schedule for the next sites or a date for reporting independently assessed results.
Key Questions
What is P&G expanding?
P&G is expanding the Visual Inspection Cockpit, an AI quality inspection system built with Siemens, across its manufacturing operations worldwide.
How much scrap has the system reportedly reduced?
P&G and Siemens said scrap fell by 10% to 20% on equipped production lines, depending on the product. The figures have not been independently verified.
How does the system differ from traditional inspection cameras?
It uses deep learning models to inspect products at line speed and handle variations in textured goods, such as diapers and wipes. The companies said new installations can be commissioned five to 10 times faster than the traditional vision systems they replace.
How does this relate to Supply Chain 3.0?
The inspection project sits within P&G’s broader effort to reduce manufacturing costs. Supply Chain 3.0 targets up to $1.5 billion in cost-of-goods-sold savings, but P&G has not said how much the inspection system will contribute.
When will the global expansion be complete?
P&G has not provided a completion date for the inspection system’s expansion. Its wider Supply Chain 3.0 program has a 2030 target.
Source: rss
Evergreen bestsellers Picks
bestsellers
As an affiliate, we earn on qualifying purchases.
