DEV Community: Eason Chow

Why Are Factories Still Inefficient After Heavy Automation Investment?

Eason Chow — Fri, 22 May 2026 02:31:01 +0000

Over the past few years, many manufacturing companies have made significant investments in automation. Warehouses have implemented WMS platforms, production sites have adopted MES systems, and shop floors are increasingly equipped with AGVs, AMRs, automated storage and retrieval systems, conveyors, pick-to-light systems, RFID portals, UWB positioning and digital dashboards. Yet when managers walk the floor, they often see a familiar contradiction: more equipment and more systems do not always translate into higher operational efficiency.

Waiting, empty travel, misplaced materials, repeated handling, manual coordination and urgent exceptions still exist. In many cases, the issue is not that a specific machine is poorly selected, nor that a single software system is wrong. The deeper problem is that many factories have invested in point automation, but not in site-wide operational coordination.

An AGV can transport materials. An AS/RS can improve vertical space utilization. A WMS can manage inventory. An LES can support material pulling. RFID can identify goods automatically. UWB can locate people and vehicles in real time. However, if these capabilities operate separately, the factory still lacks an operational brain that understands the full site, coordinates resources and dynamically optimizes execution.

In real manufacturing logistics, efficiency is not determined by one machine. It is determined by how people, vehicles, machines, materials, spaces and handling assets work together. An AGV may move quickly, but if materials are not ready when it arrives, if the aisle is blocked by a forklift, or if task priorities have changed, its technical performance cannot become operational performance. An automated warehouse may process goods at high speed, but if receiving, picking, replenishment and line-side delivery are not synchronized, the system can still create new bottlenecks.

This is why many automation projects fail to deliver the expected ROI. The company has purchased execution capability, but it has not necessarily built coordination capability. Machines can execute tasks, but does the system know which task is most urgent? Which vehicle is closest? Which worker is available? Which route is congested? Which area is becoming a bottleneck? Which tasks can be combined? Which resources can be shared across zones? If these decisions still depend mainly on experienced dispatchers, automation will improve local actions but struggle to optimize the whole operation.

The complexity of manufacturing sites is also increasing. Orders are more fragmented, SKUs are more diverse, production changeovers are more frequent and delivery windows are shorter. At the same time, labor availability is less stable, and the mix of automation equipment is becoming more complex. Traditional management based on fixed roles, fixed routes, fixed resources and fixed rules is no longer enough for flexible manufacturing. When business conditions change, a system that cannot sense resource status in real time and adjust tasks dynamically will create a new layer of inefficiency.

In other words, the root cause is often not insufficient automation, but unorganized automation. The next stage of manufacturing logistics improvement should not begin with the question, “What equipment should we buy next?” It should begin with a more fundamental question: Are our people, vehicles, machines, materials, spaces and handling assets connected in real time? Can we see them as one operating system? Can we dispatch them dynamically? Can we use execution data to improve continuously?

TBL Techbloom’s AIoT-based approach to full-factor digital operations is built around this logic. Instead of deploying isolated devices, TBL digitizes and connects key logistics resources across the site. Through IoT technologies, people, vehicles, equipment, materials, locations and containers become visible, measurable and interactive. Through the Wisdom digital logistics operations platform, real-time tasks, resource status, spatial position, movement routes, equipment conditions and exception events are integrated into an operational model that can be analyzed, diagnosed and optimized.

In this model, WMS, LES, Noah IoT platform, RFID, UWB, PTL, AGVs, autonomous forklifts, smart racks and automated storage systems are no longer separate islands. They become part of a unified site operations framework. The system does not only understand what the task is. It also understands where the resources are, what their current status is, whether the route is available, whether priorities have changed and where bottlenecks are emerging.

For manufacturers, the value of this upgrade is not only visibility. It is the ability to act. A dashboard that only displays data can easily become a reporting tool. True digital operations should connect visualization, analytics, prediction and execution guidance. This enables the factory to move from after-the-fact reporting to real-time optimization, from experience-based dispatching to data-driven dispatching, and from isolated automation to human-machine collaborative operations.

For system integrators, this also creates a new opportunity. Many manufacturing customers already have partial automation and multiple business systems. What they need next is a partner that can connect these systems, improve site execution and help release the real value of previous investments. TBL can support partners with scenario diagnosis, solution design, IoT hardware, software platforms and proven implementation experience, helping integrators move from equipment delivery to manufacturing operations optimization.

The goal of automation is not simply to add more machines. The real goal is to use resources more intelligently. When a factory can see resources in real time, understand task relationships, predict bottlenecks, dispatch dynamically and accumulate operational knowledge, automation equipment begins to work as a coordinated system. The next competitive advantage for manufacturers will not come from owning more devices, but from organizing people, equipment, space and workflows into a more efficient, flexible and continuously improving operation.

If your factory has already invested in automation but has not yet achieved the expected improvement in efficiency, utilization or operational transparency, TBL can help reassess your current systems and workflows, identify the gaps between automation islands and explore where AIoT-based digital operations can unlock the next level of value.

Why the Next Cost-Reduction Opportunity in Manufacturing Lies in In-Plant Logistics The real cost pressure is often not in the machines themselves

Eason Chow — Wed, 20 May 2026 05:57:50 +0000

Over the past decade, many manufacturing companies have invested heavily in production equipment, automated production lines, ERP, MES, WMS and other systems. On the surface, factories are becoming more automated and more digital. But in many shop-floor operations, managers still face the same recurring problems: long material waiting times, uneven workload distribution among forklifts and workers, frequent ad hoc material searching, line-side delivery that depends heavily on experience, and exception handling that still relies on phone calls and manual coordination. Production equipment has been upgraded, but operational waste on the shop floor has not decreased at the same pace.

This is why more and more manufacturing companies are beginning to re-examine an area that was previously underestimated: in-plant logistics. It is not simply about material handling, warehousing and delivery. It is the core operational system that connects the supply chain, warehouses, production lines, people, vehicles, automation equipment and on-site space. For manufacturing companies entering a stage of stock-based competition, in-plant logistics may well become the next key area for cost reduction and efficiency improvement.

In-plant logistics contains a large amount of “invisible” cost

When calculating costs, many companies tend to focus on equipment procurement, labor wages, raw material prices and energy expenses, while overlooking hidden waste in in-plant logistics. Examples include empty forklift travel, worker waiting time, repeated handling, incorrect delivery and mismatching, time spent searching for materials, inefficient storage locations, unclear container circulation, excessive line-side inventory and the cost of exception coordination.

Individually, these forms of waste may not seem significant. But in a factory with multiple production lines, multiple SKUs, multiple shifts and multiple suppliers, they are continuously amplified. This is especially true in complex scenarios such as automotive parts, equipment manufacturing, electronics and electrical appliances, tires, daily chemicals, food, medical consumables and other industries, where the utilization efficiency of logistics resources directly affects production takt, delivery stability, inventory levels and on-site safety.
More importantly, much of this waste does not naturally appear in traditional reports. Managers may know that “the site is busy,” but not where the workload is concentrated. They may know that “there are not enough vehicles,” but cannot determine whether vehicles are truly insufficient or simply dispatched inefficiently. They may know that “inventory is inaccurate,” but lack real-time tracking of the material flow process.

Why point-based automation cannot solve system-wide cost problems

Many manufacturing companies have already deployed AGVs, automated storage and retrieval systems, conveyor lines, PDAs, RFID, WMS or LES. However, the results of these projects sometimes fall short of expectations. The reason is not necessarily that the equipment is ineffective, but that these systems and resources are still managed in silos.

In-plant logistics is a dynamic system. People, forklifts, AGVs, shelves, containers, storage locations, orders, workstations and routes all influence one another. If only one point is optimized, it can easily lead to a situation where “local efficiency improves, but overall efficiency does not improve—or even declines.” For example, warehouse picking speed may increase, but line-side receiving may fail to keep pace. The number of AGVs may increase, but route congestion and task allocation may remain unoptimized. WMS may record inventory, but changes in on-site storage locations may not be perceived in real time.

True cost reduction is not about purchasing more equipment. It is about making all logistics elements visible, connected, analyzable and dynamically dispatchable.

The value of full-plant logistics digital intelligence: from experience-driven to data-driven operations

TBL Techbloom has long focused on the operational challenges of manufacturing sites. Its core approach is to build a full-element digital and intelligent logistics operation system around six key on-site elements: people, vehicles, machines, materials, sites and handling assets. Through IoT smart hardware, RFID, UWB positioning, PTL intelligent picking, the Noah IoT platform, business software such as LES, WMS, LCT and SRM, as well as the Wisdom digital operation platform, TBL transforms fragmented shop-floor activities into data that can be collected, analyzed and optimized.

The value of this type of system is not to make a single process look more “advanced.” Rather, it enables managers to truly understand how on-site resources are being used: which vehicles are traveling empty, which workers are waiting, which warehouse zones are congested, which orders have delivery risks, which storage locations or containers have abnormal circulation, and which picking actions may lead to errors.

Once this information is collected and modeled in real time, factories can move from after-the-fact statistics to real-time decision-making, and from manual experience-based dispatching to system-assisted optimization.

Why manufacturing customers should pay attention to in-plant logistics

For manufacturing customers, the challenges of in-plant logistics are particularly prominent. Rising labor costs, shortages of skilled workers, increasing supply chain uncertainty, higher SKU complexity and compressed delivery cycles are all forcing companies to improve transparency in shop-floor operations.

Many factories do not lack automation equipment. What they lack is a systematic approach that integrates software, hardware, IoT, positioning, identification, dispatching and operational analytics. This is also an important opportunity for system integrators like TBL. Instead of simply providing a single device or a standalone software system, it is more valuable to help customers identify high-value improvement scenarios in in-plant logistics and gradually build a scalable digital and intelligent logistics system through a modular approach.

TBL’s value is not limited to product supply. It lies in providing scenario experience, software-hardware integration capabilities and project methodologies that have been validated across a large number of industrial sites.
Conclusion: the next cost-reduction opportunity is not another piece of equipment

As manufacturing enters a more refined stage of competition, cost advantage no longer comes only from cheaper equipment, lower labor costs or larger production capacity. True sustainable competitiveness comes from the continuous ability to optimize on-site operations.

In-plant logistics connects production, warehousing, supply chain and delivery. It is where cost, efficiency, quality and safety converge in manufacturing enterprises. Companies that can digitalize, visualize and coordinate these on-site elements earlier will have a greater opportunity to unlock new profit potential in stock-based competition.
TBL Techbloom hopes to work with partners and customers to start from real on-site problems, identify key waste points in in-plant logistics, and use AIoT, digital twins, IoT hardware, business software and digital operation platforms to help factories turn “invisible waste” into “optimizable opportunities.”

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If you are evaluating issues such as waiting time, material handling, material searching, mismatching, vehicle utilization or line-side delivery in a manufacturing plant, you are welcome to contact TBL for a preliminary diagnosis of in-plant logistics waste points.

Techbloom: AIoT-Driven Smart Operations and Smart Logistics for Industrial Sites

Eason Chow — Tue, 19 May 2026 09:49:13 +0000

As manufacturing becomes more intelligent, flexible and globally connected, industrial operations are becoming harder to manage with traditional methods. People, vehicles, machines, materials, spaces and handling assets often operate across fragmented processes and disconnected systems. Site managers may have warehouse systems, automation equipment and manual reports, yet still lack real-time visibility into what is happening on the floor, where bottlenecks are forming and how resources should be reallocated.

Techbloom (Beijing) Information Technology Co., Ltd. is a smart operations and smart logistics solution provider built to address this challenge. The company focuses on manufacturing and broader industrial environments, using AIoT, industrial IoT, digital twins, big data analytics, AI algorithms and intelligent equipment to help enterprises connect fragmented on-site resources and turn daily execution data into measurable operational improvement.

Techbloom's core approach is based on the digitalization and orchestration of six essential site resource categories: people, vehicles, machines, materials, spaces and handling assets. By connecting these resources through IoT hardware, business software and AI-driven platforms, manufacturers can move beyond manual records, paper-based workflows and after-the-fact reporting. They can see real-time site status, trace execution processes, identify operational waste and make better decisions based on objective data.

To support this approach, Techbloom has developed a complete solution portfolio. Wisdom, the company's intelligent operations platform, acts as the operational brain for digital twin modeling, resource visibility, KPI analysis, bottleneck diagnosis, task forecasting and intelligent dispatch. Noah, the IoT management platform, connects and manages different types of IoT devices, enabling device monitoring, data interfaces, predictive maintenance and visualized operations. Business systems such as LES, WMS, LCT and SRM support logistics execution, warehouse management, supply chain control tower capabilities and supplier collaboration. IoT hardware such as RFID portals, UWB positioning, PTL+X, industrial Mesh networks, OCR/image recognition, wearable devices and e-paper tags collect reliable execution data from the physical site. Techbloom also provides intelligent equipment and automation integration, including AGV/AMR systems, unmanned forklifts, AS/RS, smart racks, AI inspection robots and following robots.

Unlike vendors that focus only on software, hardware or automation equipment, Techbloom emphasizes scenario-based problem solving. In industrial operations, performance issues rarely come from one isolated asset. They usually emerge when processes, resources, systems and execution activities are not coordinated. For this reason, Techbloom typically starts with consulting, diagnosis and scenario analysis. Based on a customer's capacity, material flow, layout, workforce, equipment and system environment, the company designs practical solution combinations that match real operational needs.

Manufacturers can start with a high-value scenario, such as SPS picking, RFID-based inbound and outbound recognition, UWB vehicle positioning, line-side material pulling, AGV dispatch optimization, finished goods locating, tool and asset management, hospital SPD consumables management or AI-powered safety inspection. These scenario modules can then be expanded step by step into a broader smart logistics or site operations optimization program.

Techbloom has accumulated project experience across automotive manufacturing, auto parts, engineering machinery, electronics, airports, logistics and warehousing, healthcare, power and energy, tobacco, food, tire manufacturing and rail transit. Typical applications include using PTL+X and wearable devices to reduce picking errors and dependence on operator experience; using RFID portals for automatic identification and error prevention; using UWB positioning to track people, vehicles, goods and handling assets; using Wisdom to analyze vehicle empty travel, labor efficiency, order backlog and warehouse bottlenecks; using Noah to reduce IoT device maintenance complexity; and using AI inspection robots to support safety, equipment, environment and abnormal-event inspections.

For manufacturers, Techbloom's value is not simply about installing another system or purchasing more equipment. It is about building a continuous improvement mechanism for site operations. Companies can understand where resources are being wasted, which processes are affecting delivery, whether people and vehicles are being used efficiently, and how space, inventory and equipment can be optimized through data-driven decision-making.

Techbloom aims to work with manufacturers, industrial automation integrators, warehouse logistics system integrators, WMS/MES/ERP solution providers and intelligent equipment partners. With its scenario-based solutions, software platforms, IoT hardware, intelligent equipment and remote support capabilities, Techbloom can help partners deliver more competitive smart logistics and industrial operations projects to local customers.

Looking ahead, Techbloom will continue to focus on AIoT, digital twins, industrial IoT, AI robots and smart logistics platforms. Its mission is to help industrial enterprises move from isolated digital projects to connected, measurable and continuously optimized operations. For companies pursuing smart factories, smart logistics, cost reduction, efficiency improvement and global operations, Techbloom is not only a technology provider, but also a long-term partner for operational transformation.

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If you are planning a smart factory, smart logistics, operational efficiency or overseas industrial digitalization project, Techbloom welcomes the opportunity to discuss the right transformation path for your site.