Consumer & Luxury Goods
Your brand is global. Your production visibility should be too.
UMH connects your production lines, packaging machines, and assembly stations into one real-time data layer. Your operations, quality, and sustainability teams get the same trusted view of every line, every shift, every plant.
Machine-level energy monitoring for climate targets and CSRD-ready carbon reporting
Real-time OEE per product run and per SKU changeover, not per shift
Siemens S7, EtherNet/IP, OPC UA, Modbus. Connected in minutes
Cross-site quality tracking with standardised process parameters across every plant
Template-based multi-plant rollout with production data flowing into your ERP
Trusted by global enterprises
The Challenge
Dozens of plants, no standard
OEE definitions, quality parameters, and energy data differ across regions. No single view spans the full network.
You can't compare 30 plants when none of them have the same data foundation
A global consumer goods manufacturer typically runs dozens of plants across multiple continents, each with a different combination of MES, SCADA, and historian systems. OEE definitions differ between Hamburg and Shanghai. Downtime categories that exist in one region don't exist in another. Every plant manager wants to improve their own operation, but most are working with shift-level reports and manual tracking that hide where the real losses are. The people who know how to interpret each site's local data are retiring, and the knowledge they carry about plant-specific equipment and processes is not documented anywhere. Without a real-time data layer that gives every plant the same visibility into its own performance, improvement stays local, inconsistent, and dependent on the people who happen to be there.
You can't tell if you need a new line or just better changeovers
Consumer goods production runs 8 to 15 SKU changeovers per day on high-mix lines. Shift-level OEE absorbs changeover time, cleaning time, and ramp-up loss into the average. A plant that reports 72% OEE could be running at 85% during production and losing the rest to changeovers no one is tracking at the SKU level. That difference determines whether you invest in a new line or optimise the ones you have. Without per-changeover data, you're making capital decisions on averages that hide where the time actually goes.
You set climate targets your production data can't track
Board-level sustainability commitments are public. Climate-neutral production targets are in annual reports. But most plants still see energy consumption at the meter level, not the machine level. You can't attribute energy to a specific product run, a specific line, or a specific shift. CSRD requires Scope 1 and 2 emissions data that can be traced to production output. The EU Digital Product Passport will require product-level environmental data for detergents, textiles, and cosmetics packaging in the coming years. Both land on the same gap: you don't have machine-level energy data tied to what you actually produce.
You can't guarantee the same product quality across the globe
When production runs across multiple continents, quality consistency becomes a data problem. Process parameters that produce the right result in one plant may drift unnoticed in another. Without standardised, real-time quality data across every site, deviations surface in customer complaints, not on a dashboard. For consumer brands, a quality inconsistency is a brand risk. For luxury products, it's existential. The data to prevent it exists inside PLCs and quality systems at every plant, but it is not comparable, not real-time, and not in one place.
from the floor
Case Study | HiPP
See how food and beverage producers use UMH to connect production data across sites and unlock SAP integration.
HiPP cut data platform cost by ~90% with a unified data layer
"With UMH, we gained real-time insight into our production for the first time. The platform’s flexibility allowed us to connect all our machines and drastically reduce manual data work. This has been a game-changer for our efficiency."
OUR SOLUTION
Same data standard, every plant
OEE per SKU changeover, machine-level energy, and quality parameters standardised across every site.
Real-time OEE at every plant, not 30 versions of a spreadsheet
Every site gets standardised OEE, downtime categorisation, and quality metrics from live machine data. Plant managers see their own losses and act on them. The same data rolls up into a global view when operations leads need it.
OEE per SKU changeover, not per shift
Track changeover time, cleaning time, and ramp-up loss per SKU transition. Separate changeover losses from production losses so capacity decisions are based on data, not averages.
Machine-level energy attribution
Monitor electricity, compressed air, and thermal energy per line and per product run. Per-machine attribution gives you the data CSRD reporting requires and the visibility your sustainability targets depend on.
Connect PLCs and controllers in one layer
Siemens S7, EtherNet/IP, OPC UA, and Modbus, regardless of age or manufacturer, connected to one unified data layer. No middleware, no per-connector fees.
Cross-site quality monitoring in real time
Standardised process parameters across every plant. Detect drift between sites before it reaches the customer. Same product, same data, same standards across every site.
Template-based multi-plant rollout
Configuration templates replicate from plant to plant. Each subsequent site deploys faster than the last. OT-safe, outbound-only architecture under IEC 62443.
Results across global production.
OEE per changeover, energy savings, and quality consistency from global plants on one platform.
solutions
Solutions Built on UMH.
UMH is the data infrastructure. These are the outcomes it delivers.
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