A tank still shows 35 percent. In reality, the actual level is already significantly lower. An IBC at a customer’s site is still listed in the system as sufficiently full, even though the contents will run critically low in a few days. A delivery is scheduled as a precaution, even though there is actually still enough material on hand. Or an employee drives several kilometers just to check a fill level on-site.
Taken individually, such situations may initially seem like minor operational inaccuracies. However, in companies that manage hundreds or thousands of tanks, IBCs, drums, and other liquid containers, these can lead to significant costs.
The challenge is that these costs do not appear on any balance sheet under the heading “inaccurate fill level data.” They are hidden in higher safety stock levels, express deliveries, manual checks, lost containers, underutilized vehicles, additional reconciliation efforts, or—in the worst case—production interruptions.
But even precise measurement data does not fully solve this problem.
The real economic value is only realized when sensor data is transformed into information, and that information leads to concrete decisions.
This is exactly where Packwise Flow 2.0 comes in.
The Packwise Smart Cap delivers relevant data directly from the liquid container. Packwise Flow 2.0 transforms this into a central information and control platform for inventory, containers, supply chains, and operational processes.
Level, location, temperature, movement, and impact can all be analyzed together. This not only makes it possible to determine how much product remains in a container. Rather, it provides companies with a basis for identifying earlier when restocking is necessary, where containers are located, which inventories are becoming critical, and at which points in a supply chain action is required.
This is no longer just about digital level measurement.
It’s about managing the liquid supply chain based on data.
A precise level sensor first answers a simple question: How much product is currently in the container?
For supply chain managers, production managers, or schedulers, this information is important—but it’s only the beginning.
In practice, further questions arise immediately: How quickly is the inventory decreasing? When will the minimum fill level be reached? Does a delivery need to be scheduled yet? Where is the corresponding IBC located? Is it still with the customer or already on its way back? Are there unusual consumption patterns at a particular location? And which of these situations actually require an employee’s attention?
It is precisely this level that is crucial.
A company doesn’t need as many individual data points as possible. It needs a way to filter out, from a large number of data points, precisely those situations that require a decision.
Packwise Flow 2.0 therefore connects the sensor data from the Smart Cap to a central software platform that consolidates inventory, assets, historical trends, alerts, and processes.
Instead of having to regularly check every tank or IBC individually, the operational focus can be directed toward exceptions.
Monitoring becomes management by exception.
And that is precisely where a significant efficiency lever lies.
When companies don’t know for certain how much material is currently in their tanks or IBCs, uncertainty arises. And in the supply chain, uncertainty is traditionally offset by maintaining additional inventory.
They place orders a little earlier, keep extra containers on hand, or set safety stock levels higher. A customer would rather be delivered to once too early than once too late.
From a supply security perspective, this is understandable. Economically, however, it means that more capital than necessary is tied up in material.
This effect is particularly relevant for specialty chemicals, additives, solvents, lubricants, coatings, and pharmaceutical intermediates. Even just a few extra IBCs per location can add up to significant inventory levels across a large number of customers and plants.
Continuous digital level monitoring provides a different basis for decision-making. As soon as Packwise Flow 2.0 makes current inventory levels and their trends centrally visible, procurement can be based more on actual consumption rather than on safety assumptions.
The mindset of “We should reorder just to be safe” thus becomes a data-driven process in which current inventory, consumption trends, and future demand are considered together.
As a result, level measurement immediately becomes a key factor in inventory optimization and working capital management.
This connection becomes even more interesting in the context of Vendor Managed Inventory, consignment stock, or pay-per-use models. When a supplier can digitally track consumption at the customer’s site, they do not have to wait for an order to come in via phone or email.
Supply can increasingly be managed based on real-time consumption data. This reduces last-minute orders, simplifies administrative processes, and optimizes inventory levels and lead times. This combination of inventory management, VMI, and automated reordering is one of Packwise’s key areas of benefit.
While excessively high safety stock ties up capital, the other extreme often results in even more immediate costs.
A tank is still considered sufficiently filled in the system, even though the actual inventory level is already critical. Production continues to plan with material that is, in fact, no longer available in that quantity. Action is not taken until just before the actual shortage occurs.
Then a standard delivery turns into an express delivery.
Additional transportation costs are often only part of the problem. The situation becomes more critical when a missing raw material slows down or completely interrupts a production process.
Particularly in the chemical industry, specialty chemicals, the paints and coatings industry, the pharmaceutical industry, food production, or water treatment, individual liquids can be critical to the process.
Continuous tank level monitoring makes critical stock levels visible earlier. Packwise Flow 2.0 can not only display the current level as a snapshot but also make historical trends available for planning purposes.
A tank with 32 percent remaining inventory is initially just a current value. Only when it also becomes clear how quickly this inventory is decreasing does it become operational information.
Then the relevant question is no longer just:
How much is left in the tank?
But rather:
When do we need to take action?
This is precisely where traditional tank level monitoring evolves toward predictive replenishment, forecasting, and automated replenishment control.
An employee drives to the tank, reads a value, documents it, and then passes on the information.
This process may still work with ten tanks. With 500 or 5,000 assets, however, it becomes a constant cost burden.
And the measurement itself is often only a small part of the effort involved. Employees must travel to the tank, document data, answer inquiries, and possibly then transfer the information to an ERP, warehouse, or planning system.
This approach becomes particularly costly for decentralized tanks and customer tanks. In these cases, a monitoring trip can involve significantly more effort than the actual measurement process.
The combination of a wireless level sensor and Packwise Flow 2.0 changes this approach. Employees no longer have to constantly search for information—relevant information is made available centrally.
Stock levels fall below a minimum threshold, consumption patterns become unusual, a tank changes location, or a temperature exceeds a defined range.
Instead of regularly checking all assets, teams can focus their attention on precisely those situations where action is actually needed.
This reduces administrative overhead and shifts working time from manual information gathering to actual decision-making.
One of the greatest economic levers lies in logistics.
Many companies still deliver to customers at fixed intervals or based on historical data. For example, a tank is restocked every two weeks because that’s how it was historically scheduled—regardless of whether it actually needs restocking on that day.
As a result, a truck may drive to a customer whose tank is still sufficiently full. At the same time, another customer may need a special delivery on short notice due to unexpectedly high consumption.
With remote tank monitoring, this planning can be aligned much more closely with actual demand.
The customer’s fill level thus becomes a demand signal.
In Packwise Flow, it becomes clear which inventory levels are becoming critical, which customers will soon need restocking, and which deliveries might still be postponed.
This changes a central aspect of scheduling. Instead of asking solely which customers are on this week’s route schedule, planning can be better aligned with which customers actually need products—and when.
This allows deliveries to be organized more proactively, unnecessary stops to be avoided, and routes to be planned more effectively.
This is a key economic lever, especially for chemical distributors, lubricant suppliers, manufacturers of adhesives and coatings, and other providers of industrial fluids.
For stationary tanks, the key piece of information is often the fill level.
With mobile IBCs, that’s not enough.
An IBC moves through a supply chain. It is located at the manufacturer’s facility, with the logistics service provider, in transit, at the customer’s site, or on its way back. During this time, not only do the fill level and consumption change, but so do the container’s location and condition.
That’s why Packwise doesn’t just look at a single measurement.
The Smart Cap can collect information on fill level, location, temperature, movement, and impact, thereby providing a much more comprehensive picture of a mobile liquid container.
Packwise Flow 2.0 brings this information together on a single platform.
This opens up entirely new use cases.
For example, a company can detect that an IBC at a customer’s site is now empty and ready for pickup. It can see which containers are remaining at a location for an unusually long time or whether a container has left a defined area.
This transforms IBC tracking into an operational tool for container management.
After all, an empty IBC is not automatically available.
Only once it is known that it is empty and where it is located can a sensible pickup be planned.
Reusable industrial packaging, in particular, incurs significant costs when containers remain outside the company’s own circulation cycle for too long.
An IBC that remains at a customer’s site even though it has long been empty is missing from the pool elsewhere. Companies often compensate for this lack of availability by acquiring additional containers.
As a result, the fleet may grow not because more capacity is actually needed, but because existing containers are tied up inefficiently in the cycle.
This is precisely where the combination of fill level and location data creates transparency.
Empty containers can be identified, and pickups can be planned more effectively. Multiple available IBCs in a region can potentially be bundled into a single pickup. At the same time, it becomes easier to detect when a container remains at a location for an unusually long time or disappears from the expected circulation.
Packwise Flow 2.0 thus enables significantly more transparent management of the physical container fleet.
The benefits are evident not only in improved tracking but also in concrete economic effects: fewer replacement purchases, higher availability of existing assets, lower packaging costs, reduced storage space requirements, and more efficient utilization of the existing container fleet. It is precisely these effects that the Packwise analysis attributes to automated empty container and container fleet management.
Costs also arise during transport that are difficult to track without the appropriate data.
IBCs and other liquid containers frequently change hands multiple times on their way to the customer. They are loaded, transported, temporarily stored, transshipped, and unloaded again.
If a container arrives damaged, a time-consuming root-cause analysis often follows. When did the damage occur? Where was the container at that time? Which service provider had it in their care? Was there an unusual impact event or an accident along the route?
Without data, such questions are often difficult to answer.
When location, movement, and impact data are analyzed together, an additional layer of objective data emerges. Unusual events can be better contextualized in terms of time and space and subsequently investigated in a more targeted manner.
Packwise Flow 2.0 can make this information centrally available, thereby helping to analyze transport processes with greater transparency.
This can be particularly relevant when damage must be documented in a verifiable manner for a logistics service provider. Of course, sensor data does not replace a technical or legal assessment of a damage claim. However, it can provide a significantly better foundation for reconstructing the time, location, and circumstances of an event.
This creates a benefit that goes well beyond traditional GPS tracking.
Not every hidden cost arises from an empty tank or an inefficient delivery.
For sensitive liquids, storage and transport conditions also play a role.
In the pharmaceutical and specialty chemicals industries, or with certain food and industrial products, it may be critical to verify whether defined temperature ranges were maintained. For mobile containers, unusual shock events can also provide indications of improper handling.
If such information is missing, processing a complaint can be extremely time-consuming.
A digital data history, on the other hand, facilitates analysis. Instead of having to gather information from various sources, relevant container information can be made available centrally.
Packwise Flow is therefore of interest not only for supply chain and logistics but also for quality management.
The same database that improves deliveries can simultaneously help evaluate claims more quickly, identify process deviations, and better pinpoint root causes. The Packwise analysis specifically cites temperature monitoring, shock alarms, and shared data views as the foundation for fewer complaints, more stable product quality, and reduced administrative effort.
Manufacturing companies are increasingly investing in demand forecasting, predictive analytics, machine learning, and AI-based supply chain systems.
But all of these systems share the same prerequisite:
They require reliable data.
No matter how powerful an algorithm may be, if the input data is incorrect, incomplete, or outdated, the forecast based on it will also be unreliable.
Continuous IoT data therefore not only provides transparency for today’s operations; it also forms the foundation for future automation.
Historical inventory level trends show how quickly products are actually being consumed. Recurring patterns can be identified. Deviations from typical consumption become apparent.
Packwise Flow 2.0 consolidates this data and makes it usable for analytics and operational decisions.
As a result, the platform evolves from pure monitoring toward data-driven control of the liquid supply chain.
This is a crucial difference.
It is no longer solely about triggering an alarm when a tank reaches a defined minimum fill level.
The more interesting question is:
Can we use the available data to identify in advance when action is needed and what the next logical step in the process should be?
That is precisely where the next stage of digitalization begins.
With Packwise Flow 2.0, the software therefore takes on an even more central role in the solution.
The Smart Cap digitizes the physical container and provides the necessary sensor data. Packwise Flow translates this data into an operational context.
A fill level is no longer viewed merely as a number. It is associated with a specific asset, at a specific location, with a specific history, and within a specific process.
At the same time, the new generation of Packwise Flow makes this information ecosystem more accessible. The redesigned UX/UI and navigation provide a more modern, intuitive user experience on both desktop and mobile devices. Multi-tenancy also simplifies the mapping and management of different organizational structures and multiple accounts.
This scalability plays a particularly important role for larger organizations, corporate groups, distributors, or companies with complex customer structures.
After all, keeping track of ten digitized tanks is relatively straightforward.
With thousands of assets spread across different locations, companies, customers, or countries, however, a different challenge arises: The vast amount of data must be structured in such a way that users can quickly identify what is relevant and where action is needed.
This is exactly where Packwise Flow 2.0 comes in.
Radar level measurement alone is no longer the complete solution today.
The greatest benefit comes from the interaction across multiple levels:
The Smart Cap measures. Packwise Flow 2.0 provides the context. And the user can take action based on this information.
The Smart Cap provides contactless radar level measurement and additional information on location, temperature, motion, and shock. Packwise Flow 2.0 links this data to inventory, assets, historical trends, and operational processes.
The analysis of the Packwise solution describes precisely this step as an evolution from the individual sensor toward inventory and cycle intelligence for mobile liquid containers.
Relevant information can also be integrated into existing ERP, logistics, or enterprise systems via interfaces.
This avoids creating an isolated IoT “island” and instead adds an additional layer of data to existing processes.
The retrofit principle is particularly crucial for large fleets. Companies do not need to replace their existing tanks or IBCs to make them digitally visible. Existing containers can be retrofitted and thus gradually integrated into the digital infrastructure.
This lowers the barrier to entry and enables scaling across existing container fleets.
With the European Packaging and Packaging Waste Regulation (PPWR), another area of application is gaining importance: the traceable documentation of reusable processes.
For companies with large pools of reusable IBCs, drums, or other transport packaging, it is becoming increasingly important to be able to track which containers are actually in circulation, how they are being used, and when they return to the cycle.
This brings to the forefront a question that has often been viewed primarily from a logistical perspective:
How can the actual circulation of reusable packaging be reliably documented?
This is precisely where an interesting connection arises between operational digitization and compliance.
When a container is digitally mapped for supply chain purposes and its movement through various stages is documented, a data history is simultaneously created that can be used for further analysis.
With Packwise, containers can be treated as digital assets, and their movement and location data can be documented. Combined with the relevant process data, this can create a traceable history of reusable packaging cycles.
As a result, information originally used for more efficient logistics, container management, and return processes also becomes valuable for regulatory compliance.
Especially with large IBC fleets, reconstructing circulation cycles retroactively can be time-consuming.
Containers change locations and companies; they are emptied at the customer’s site, picked up, returned, reconditioned if necessary, and then refilled.
If this information is scattered across delivery notes, ERP entries, Excel spreadsheets, and logistics systems, a fragmented database quickly emerges.
A digital asset history takes a different approach: Relevant information is generated directly during the operational process.
Packwise Flow can provide logs and asset histories that help companies analyze movements and reusable cycles more transparently. Combined with the necessary packaging and company data, such information can serve as an important foundation for documenting relevant reuse processes and PPWR-related evidence.
The principle is therefore:
Don’t generate data solely for compliance—instead, capture operational data in such a way that it can later be used for compliance as well.
This can significantly simplify the subsequent reporting and documentation effort, especially for large container pools.
Digital level and container data is particularly valuable in situations where liquids are consumed continuously, inventories are distributed across multiple locations, or reusable containers move through complex cycles.
In the chemical industry, supply security, reusable IBC cycles, hazardous materials requirements, and complex supply chains intersect directly.
Packwise Flow 2.0 can consolidate inventory data, fill levels, container movements, and consumption information. This supports VMI, automatic reordering, and more efficient IBC management.
A chemical supplier can not only see how much product the customer has on hand, but also which containers are running empty and can be returned to the supplier’s own circulation system.
It is precisely this combination of fill-level monitoring and container tracking that creates significantly greater value than a simple tank gauge. The Packwise analysis highlights, in particular, VMI for additives and solvents, Ex-zone monitoring, and IBC circulation management for the chemical and specialty chemical industries.
Manufacturers and distributors of lubricants, adhesives, and industrial fluids often have large networks of customer tanks.
Here, Packwise Flow can provide transparency into actual consumption and thus support consumption-based deliveries.
Instead of delivering at fixed intervals, it becomes clear when a customer actually needs a refill. This improves planning and, at the same time, opens up new service models such as VMI, pay-per-use, or proactive restocking.
When it comes to binders, pigments, solvents, and other process fluids, a single missing ingredient can delay an entire batch.
Real-time inventory data and forecasts help identify critical stock levels earlier and better align production supply with actual consumption.
In the pharmaceutical and life sciences industries, there are additional requirements beyond inventory and replenishment.
Temperature histories and shipping information can help better monitor sensitive products and make events throughout the supply chain more traceable.
Flavors, syrups, and other liquid ingredients must be available in sufficient quantities without simultaneously building up unnecessarily high safety stocks.
Digital level monitoring supports a more demand-driven supply and can reduce the need for manual checks.
Decentralized stocks of flocculants, disinfectants, or other treatment chemicals can be monitored remotely.
This allows for more targeted organization of restocking and service calls.
With many scattered car wash locations, a classic remote monitoring problem arises.
Cleaning agents, waxes, and other chemicals must be available without employees having to manually check each location on a regular basis.
Packwise Flow provides a centralized overview and can thus support automated or proactive restocking processes.
For used oil and other liquid wastes, it is often the maximum fill level—rather than the minimum—that is critical.
Collection containers can be picked up on an as-needed basis rather than solely at fixed intervals. This can reduce unnecessary trips and improve the utilization of collection routes.
For mobile containers, location data and tracking capabilities are also available, which help prevent losses and locate assets more quickly.
The same challenge often arises with liquid fertilizers, crop protection products, operating supplies, or mobile tanks: inventory is spread across different locations, and consumption varies significantly depending on the season.
Digital level measurement enables deliveries tailored to actual needs without requiring each tank to be checked on-site on a regular basis. Similar principles can also be applied to municipal infrastructure and other decentralized liquid applications.
Anyone wishing to evaluate the business case for a digital level measurement solution should therefore not start with the price of the sensor.
A much more meaningful question is how much is already being lost today due to a lack of transparency and manual processes.
For example, companies should examine:
Only this holistic view reveals the actual ROI.
The economic value does not lie in the measured value itself.
It lies in what Packwise Flow 2.0 does with that measurement value to improve the operational process.
A traditional digital level gauge says:
Tank A: 32 percent.
A modern data platform must be able to put this into a broader context.
How quickly is the product being consumed? When will this inventory level become critical? Does a delivery need to be scheduled? Where is the corresponding container located? Can it be retrieved afterward? Were there any unusual events? Which other tanks or customers also require attention?
As a result, the role of IoT is evolving fundamentally.
The sensor is the data source.
The platform provides the context.
And from this context, a decision is made.
That’s exactly what Packwise Flow 2.0 is all about.
Inaccurate or missing fill-level data rarely results in a single major cost center. Its economic impact stems from the fact that small inefficiencies occur daily and accumulate across large container fleets.
A safety stock level is set higher than necessary. A shipment is dispatched earlier than required. An employee checks a tank even though no action is needed. An empty IBC remains with the customer longer because its return isn’t initiated in time. An express shipment becomes necessary because a critical stock level was identified too late.
With mobile containers, additional costs arise. Containers disappear from the cycle, transport events are difficult to reconstruct, or reusable processes must later be painstakingly pieced together from various data sources.
The solution, therefore, is not simply a more accurate sensor.
The solution lies in making better use of the data.
The Packwise Smart Cap provides a continuous data source directly at the liquid container. Packwise Flow 2.0 aggregates this data, correlates it, and makes it usable for inventory management, replenishment planning, logistics, container management, quality processes, forecasting, and other applications.
A fill level becomes a consumption pattern. A single location provides transparency into the container cycle. Shock and motion data provide additional insights into events during transport. Historical data forms the basis for better forecasts.
And thousands of individual measurement values provide the foundation for better operational decisions.
This is precisely the key advancement of Packwise Flow 2.0: moving from pure monitoring to intelligent control of the liquid supply chain.
The economic benefit, therefore, does not lie in being able to digitally display a tank’s level as “32 percent.” It arises when this information helps optimize inventory levels, plan deliveries more effectively, return containers more quickly, eliminate manual labor, reduce production risks, better track damage incidents, and document reusable container processes with greater transparency.
The crucial question is therefore no longer just:
How full is my tank?
But rather:
Based on this information, what should I do next?
And that’s exactly where Packwise Flow 2.0 comes in.
Would you like to learn how Packwise Flow 2.0 can deliver tangible benefits for your container fleet, logistics, inventory management, or supply chain?
We’d be happy to show you how fill level, location, and condition data can be integrated into your existing processes and where there is specific potential for greater transparency, higher efficiency, lower costs, and better planning.
Whether it’s digital tank level monitoring, automated replenishment planning, vendor-managed inventory, IBC tracking, container management, or the digitization of your reusable container cycles—we’ll work with you to analyze your specific use case.
Get in touch with us. We’re always happy to provide a personalized demo and answer any questions you may have.
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