It’s 10:40 on a Tuesday. A line supervisor calls the warehouse: the next batch needs a component, and it isn’t at the station. The warehouse checks the system. The system says you have 400 units. Someone grabs a scanner and starts walking.

Twenty minutes later, they find the parts on a pallet near the receiving dock, still waiting for put-away since yesterday afternoon. The inventory count was right the whole time. The line stopped anyway.

If this sounds familiar, you’re not alone. Most operations don’t have an inventory problem. They have a movement problem.

Inventory tracking answers “what.” Operations need “where” and “when.”

Inventory tracking does an important job. It tells you what you own and how much of it you have. Your ERP or WMS holds that number, and cycle counts keep it honest.

But a count is a snapshot. It won’t tell you that a lot has sat in a staging lane for six hours, that a replenishment run left late, or that a shipment is still on the dock while the truck waits. Materials only create value when they reach the right place at the right time, and a static number can’t show you that.

Material Intelligence closes that gap. It connects every material event (received, moved, staged, consumed, shipped) into one live picture. Instead of asking “Do we have it?”, your team can ask “Where is it, how long has it been there, and will it arrive in time?”

Basic tracking tells you what exists. Material Intelligence tells you what is happening.

Follow one pallet through your operation

To see the difference, follow a single pallet from dock to customer.

Receiving. The pallet arrives. With basic tracking, someone scans it and the stock level goes up. With Material Intelligence, the system also records when it arrived, which purchase order it closes, and which lot it belongs to. If it sits unprocessed too long, the right person hears about it.

Storage and staging. The pallet moves to a location. Now you know where it is, not just that it exists, and you can spot material that has stopped moving.

Work in progress. Components leave the shelf and head to the line. You see what the line has consumed, what’s waiting between stations, and where WIP is piling up before it turns into a bottleneck.

Replenishment and milk-runs. Instead of fixed routes and guesswork, replenishment follows actual consumption. Operators refill line-side bins before they run empty, not after someone notices.

Shipping. Finished goods leave with a complete record behind them. When a customer asks about an order, or a supplier flags a bad lot, your team traces every step from a clear history instead of digging through spreadsheets.

At every stage, the pallet generates data. Material Intelligence turns that data into timing, context, and action.

Where technology fits

Each of these steps needs a way to capture what happened. Many teams start with a barcode scan on the handhelds they already own. Others add RFID at dock doors to read pallets without line of sight, BLE or RTLS to follow high-value materials across the floor, or sensors and PLCs to register events automatically. The right mix depends on your process, your volumes, and your environment, and no single technology fits every operation. What really matters is what happens after the read: whether that event updates your ERP, triggers a replenishment, or warns a supervisor before the line stops. So start with the capture method that fits today, and scale as your needs grow.

What Material Intelligence changes day to day

When teams can see materials in motion, the benefits show up in very practical ways:

• Fewer line stoppages. Replenishment follows real consumption, so parts arrive before stations run dry.
• Less time spent searching. People stop walking the floor to find material the system says you have.
• Faster traceability. Your team answers lot and recall questions with a clear history instead of a manual hunt.
• Leaner safety stock. When you trust the timing, you need fewer “just in case” buffers.
• Smoother shipments. Outbound teams know what’s ready, what’s staged, and what’s still missing.
• Better decisions upstream. Planners see where flow slows down, so they can fix the process, not just the symptom.

Start with the flow you already have

You don’t need to rebuild your operation to get there. Most teams begin with one pain point, such as a congested receiving dock, a line that keeps waiting for parts, or a new traceability requirement, and expand from there.

That’s the idea behind InFlow, InThing’s Material Intelligence solution. InFlow connects receiving, inventory, WIP, replenishment, milk-runs, shipments, and lot traceability in one view. It works with the capture technology that fits your process and integrates with the ERP, WMS, or MES you already run.

Materials in motion — traced, timed. Want to see what that looks like on your floor? Talk to our team.

For years, companies have talked about asset tracking as if knowing where something is solves the whole problem. It does not.

Tracking answers a useful question: Where is the asset?

Asset intelligence goes further. It asks: Where is it, who is using it, how often is it used, when did it move, is it in the right place, does it need maintenance, is it compliant, and what should we do next?

That difference may sound small, but operationally it is enormous. Tracking gives you a dot on a map. Asset intelligence gives you context, history, risk, and a reason to act.

From location to understanding

Traditional asset tracking usually focuses on identification and location. A barcode scan confirms that a laptop entered a room. An RFID read tells you that a tool passed through a doorway. A BLE tag shows that equipment is somewhere inside a defined zone.

Those signals matter. However, on their own, they still leave people doing the thinking.

Asset intelligence connects those signals with business rules, asset records, workflows, maintenance schedules, utilization data, ownership, transfers, alerts, and audit history. As a result, the system does not simply tell you what happened. It helps you understand what that event means.

Imagine a calibration-sensitive device entering a production area. Tracking tells you it arrived. Asset intelligence can immediately recognize that its certification expires next week, verify whether it belongs in that zone, record the movement, update the responsible team, and trigger an action before the device creates a compliance problem.

That is a very different level of visibility.

Why this matters in real operations

Consider a data center. Teams manage servers, networking equipment, tools, test devices, replacement hardware, and other high-value assets across secure rooms and multiple facilities. Knowing that a device exists is not enough. Operations teams need movement history, ownership, authorized zones, maintenance status, and a reliable audit trail. When every change becomes part of a continuous asset record, security and operational control stop depending on spreadsheets and memory.

The same principle applies in warehouses and manufacturing environments. Forklifts, pallet jacks, specialized tooling, jigs, fixtures, scanners, and shared equipment constantly move between people and work areas. Basic tracking can show where an item was last seen. Asset intelligence can reveal that one forklift sits idle while another is overused, that a critical tool has not returned to its assigned area, or that equipment is approaching a service threshold. Suddenly, visibility becomes a productivity tool, not just a search tool.

Public-sector organizations face another challenge: accountability. Cities, counties, agencies, laboratories, and government facilities often manage thousands of devices across departments, buildings, and users. Audits can consume weeks because teams must reconcile physical assets with records. Asset intelligence creates a continuous, timestamped history of location, movement, ownership, transfers, maintenance, and retirement. Therefore, the audit trail becomes part of daily operations instead of a stressful project that begins when someone asks for evidence.

What does asset intelligence actually change?

The real benefit of asset intelligence is not simply having more data. It is having fewer operational questions that nobody can answer.

Teams spend less time searching for equipment because they can see where it is and where it has been. Procurement can avoid unnecessary purchases because managers know what assets already exist and whether they are actually being used. Maintenance teams can act before equipment becomes unavailable, while compliance teams gain a reliable history of movements, inspections, certifications, and ownership without rebuilding that history before every audit.

At the same time, utilization data reveals another layer of value. An organization may discover that some equipment is constantly overbooked while similar assets sit unused elsewhere. High-value items can trigger alerts when they leave an authorized area. Assets that have effectively disappeared from operations can be identified, investigated, transferred, or retired instead of remaining indefinitely on the books.

In other words, asset intelligence turns visibility into measurable operational control. It helps organizations find faster, buy smarter, maintain earlier, audit easier, reduce loss, and get more value from the assets they already own.

The real value appears between events

This is the biggest mindset shift.

Asset tracking focuses on events. An asset entered. It moved. It left.

Asset intelligence focuses on what happens between those events.

How long has the asset been idle? Is it being used enough to justify owning it? Did it leave an authorized zone? Has it missed a maintenance window? Is another department about to purchase equipment that already exists elsewhere? Are “ghost assets” still sitting on the books even though nobody can physically locate them?

Those questions connect physical visibility with financial control, operational performance, compliance, and risk.

They also change behavior. People spend less time searching. Teams make fewer duplicate purchases. Maintenance becomes proactive. Audits become easier. Managers see underused equipment before buying more. Security teams respond to unusual movement immediately rather than discovering a loss during the next inventory count.

Beyond “Where is it?”

The future of asset management is not a better map.

It is a better understanding of every asset throughout its lifecycle, from procurement and deployment to utilization, maintenance, audit, transfer, and retirement.

That is the idea behind asset intelligence: turn physical events into operational knowledge, and turn operational knowledge into action.

Once an organization reaches that level of visibility, going back to spreadsheets, manual searches, disconnected scans, and periodic audits feels almost impossible. The question changes from “Can we track our assets?” to something far more valuable:

“What could we improve if every asset could continuously tell us what we need to know?”

A scientist walks into a warehouse late in the evening. An experiment is still running, the team needs an additional raw material, and waiting until the next morning could delay hours of work.

The material is technically available. It is sitting somewhere inside the warehouse. Yet accessing it depends on several other things being available too: warehouse staff, paper forms, manual approvals, and an inventory record that may only be as accurate as the latest clipboard entry.

What should be a simple task quickly becomes an operational bottleneck.

This was the challenge facing one global organization whose scientists and chemists regularly needed access to raw materials outside standard warehouse hours. The warehouse supported critical work, but its processes still depended heavily on people and paperwork.

When the right employee was not available, scientists had to wait. When someone removed a material, the inventory system might not reflect the movement until a manual update took place. As a result, the physical warehouse and the information inside SAP did not always tell the same story.

The company needed a way to give authorized employees more flexibility without losing control, accuracy, or traceability.

The Problem Was Not Simply Warehouse Access

At first, the challenge might look like an access-control problem. Give scientists permission to enter the warehouse, and the issue disappears.

In reality, opening the door only solves one part of the process. The organization still needs to know which material someone removed, who took it, when the movement happened, where the material came from, and how much inventory remains.

Without that information, flexible access creates new risks.

Inventory records become less reliable. Logistics teams spend more time investigating discrepancies. Employees may reorder materials that already exist. Planning teams may make decisions using outdated information. In regulated environments, incomplete movement records can also create compliance and audit concerns.

The goal was therefore not unrestricted access. The goal was controlled, traceable, and intelligent access.

Connecting Physical Activity With Business Systems

The organization introduced a digital workflow that connected warehouse activity with its enterprise systems.

Authorized scientists and chemists could enter the warehouse at any time and retrieve the raw materials they needed. The solution captured each movement as part of the process rather than relying on someone to document it later.

Depending on the material and warehouse setup, this type of workflow can use RFID, barcode scanning, mobile devices, fixed readers, access-control data, or a combination of technologies.

The important part is not the individual device. It is the connection between the physical event and the business context behind it.

When an employee takes a material, the system can identify the item, record the time, associate the transaction with the user, update the available quantity, and send the event to SAP or another enterprise application.

The inventory record therefore follows what is happening inside the warehouse instead of waiting for the next manual update.

This is where material intelligence begins to create value. It provides a live understanding of how materials move, who interacts with them, and how those movements affect the wider operation.

A Small Workflow Change With a Major Productivity Impact

The result was significant.

In less than a year, the organization reported an increase of more than 1,000% in productivity savings. Scientists and chemists could access the warehouse 24/7 and take the raw materials they needed without depending on warehouse personnel to complete every step manually.

The improvement came from removing waiting time from a high-value process.

Scientists could continue their work without unnecessary interruptions. Logistics employees no longer needed to manage every request in person or reconcile large numbers of transactions after the fact. Managers gained a clearer view of material consumption, while SAP received more timely information.

The organization did not simply make the warehouse more accessible. It made the entire material-handling process more responsive. That distinction matters. A faster manual process still depends on manual work. A connected process captures activity as it happens and allows the business to respond immediately.

The Same Challenge Appears Across Many Industries

Laboratories provide a strong example, but the same operational pattern appears throughout manufacturing, logistics, healthcare, and industrial environments.

A maintenance technician may need a spare part during a night shift. A production team may need additional components to prevent a line from stopping. A quality engineer may need to locate a specific material lot. A warehouse operator may need to replenish consumables before the next scheduled delivery.

In each case, the material may be physically present while remaining operationally unavailable.

Companies usually know what they purchased and what their systems say they have. They struggle with what happens between receiving, storage, internal movement, consumption, production, and replenishment.

A material intelligence approach connects those stages. It can provide visibility into receiving, put-away, stock levels, raw-material issuance, work-in-progress, replenishment, shipment verification, returns, and cycle counting.

Instead of creating another isolated tracking system, the solution connects real-world material activity with ERP, WMS, MES, and other business platforms.

A Practical Entry Point for Partners

This use case also creates a clear opportunity for hardware partners, resellers, and system integrators.

Many customers already use handheld computers, RFID readers, barcode scanners, printers, or access-control systems. However, hardware alone cannot resolve the process gap between a physical material movement and an enterprise-system update.

Partners can begin with one practical question:

Where do employees currently wait because materials, people, and information are not available at the same time?

The answer often reveals a focused use case with measurable value.

Partners can help customers automate after-hours access, reduce manual issuing, improve inventory accuracy, or prevent production delays. They can start with one warehouse or department and then expand the workflow across more materials, facilities, and business processes.

This creates a stronger business case for both software and hardware. It also reduces implementation risk because the project begins with a clear operational problem rather than a large, abstract transformation.

From Available Materials to Usable Materials

Raw materials only create value when employees can access and use them at the right time.

For this organization, the key improvement was not simply knowing that a material existed. It was making that material available to the right person, recording the movement automatically, and keeping the business system aligned with reality.

Scientists gained 24/7 access. Logistics teams retained control. Inventory information became more accurate. The company removed a recurring source of delay from a critical workflow.

That is the practical value of connecting materials, people, devices, and enterprise systems: the operation stops waiting for information to catch up with reality.

Imagine you walk into a busy lab with equipment scattered all over the place. You need to find a specific instrument but you can’t seem to locate it anywhere. This is a common problem that many labs face. With lab equipment being moved around frequently and sometimes shared among multiple researchers, it can be a challenge to keep track of everything.

It can be a real headache, especially when there are multiple pieces of equipment to keep track of. But don’t worry, there are tools available that can help make equipment management much more efficient and hassle-free.

One such tool is asset management software. It can help you keep track of your lab equipment inventory, maintenance schedules, and usage history. It’ll even send alerts when equipment maintenance is due or when equipment is overdue for calibration. It’s like having a personal assistant for your lab equipment.

Technologies for tracking lab equipment

So, there are several technologies that are widely used for lab equipment tracking. The first one is barcode technology, which is a simple and cost-effective way to track lab equipment. By scanning the barcode label on equipment, inventory records can be quickly updated, making it easy to track equipment usage and location.

Another technology is RFID, which involves attaching RFID tags to lab equipment to track their location and usage. RFID readers can detect these tags from a distance, making it easy to track equipment in real-time.

GPS tracking is another technology that can be used to track mobile lab equipment, such as vehicles or trailers. This technology is especially useful for labs that operate in the field or in remote locations.

Bluetooth beacons are another option for tracking equipment location and usage within a lab or other indoor space. These beacons can be attached to equipment or placed throughout a lab to create a network of location data.

Lab Asset Management Challenges

Lastly, cloud-based software can be used to track equipment usage and maintenance schedules. This software can be accessed from anywhere, making it easy to update equipment records and track usage in real-time.

You can also use maintenance logbooks to track maintenance activities performed on each piece of equipment, including cleaning, calibration, and repairs. Calibration tools such as multimeters, thermometers, and oscilloscopes can help ensure that lab equipment is functioning accurately and that experiments are producing accurate results. And using equipment checklists can reduce the risk of equipment damage and ensure accurate results.

InThing’s Solution

At InThing, we understand this problem all too well. That’s why we’ve developed Visium and Trapeze, a powerful software solution to help labs keep track of their equipment. Our softwares allow labs to easily monitor the location, usage, and maintenance of all their equipment, providing a complete overview of their lab operations.

One of the biggest problems in labs is equipment downtime. Researchers need access to functional equipment to conduct experiments and gather data. When equipment breaks down, it can cause significant delays and setbacks, not to mention additional expenses. With Visium, labs can proactively monitor the health of their equipment, predicting when maintenance is needed before a breakdown occurs. This helps to minimize downtime and keep experiments running smoothly.

Another issue in labs is equipment availability. Labs often have limited resources, and it can be a challenge to ensure that everyone has access to the equipment they need. But when you use a software you can schedule equipment usage, ensuring that researchers have access to the equipment they need when they need it. This helps to optimize lab operations and improve productivity.

Lastly, it’s important to consider the cost of lab equipment. Many labs have tight budgets and cannot afford to replace expensive equipment frequently. When you have complete insight in your assets, labs can prolong the life of their equipment by monitoring usage and ensuring that maintenance is performed on schedule. This can save labs money in the long run by preventing premature equipment failure.

Effective lab equipment management is essential for ensuring that laboratory operations run smoothly and that experiments are conducted accurately and safely. Using advanced technologies such as high visibility software can significantly improve lab equipment visibility, making it easier to track equipment usage, location, and maintenance schedules. InThing company provides innovative solutions to track lab equipment using our softwares, ensuring that equipment is always available when needed, minimizing downtime, and reducing costs. By providing a comprehensive view of lab operations, we help labs to improve efficiency, reduce expenses, and accelerate research progress. At InThing, we’re proud to offer our platforms as a solution to the problems that labs face every day.