Industries Smart Warehousing Solutions Tailored To Your Industry
With a comprehensive range of intralogistics, products, DELlECN helps you build efficient and Fully Automated Warehouse operations.
Services Maximizing the Value of Your Logistics
At DELIECN, service goes beyond product delivery. We provide consulting, planning, design, manufacturing, installation, commissioning, and after-sales support throughout the entire lifecycle.
About Us Efficient and Flexible Automated Warehousing Solutions
DELIECN supports clients across food and beverage, new energy, chemicals, pharmaceuticals, e-commerce, precision manufacturing, textiles, and energy industries with intelligent warehousing systems tailored to their goals and requirements.

After working with manufacturers, logistics companies, and supply chain operators on more than 1,000 warehouse automation projects, we have noticed one significant change.
Customers are no longer starting conversations with:
“Which automation equipment should we buy?”
Instead, they are asking:
“How can automation help our business operate better?”
This change reflects a deeper transformation in Warehouse Management.
In the past, companies mainly introduced automation to reduce manual labor and improve basic handling efficiency.
Today, their expectations have become much broader:
Because of these changes, warehouse automation is moving beyond individual equipment.
The real challenge is connecting storage, transportation, software, and business processes into one efficient logistics system.
For manufacturing companies, warehouse efficiency directly affects production efficiency.
A delayed material supply can stop a production line, even when every manufacturing process is already optimized.
This is something we have repeatedly seen in industrial projects.
During the capacity expansion of a global pump manufacturer, the customer already had advanced production technology.
However, the warehouse became a bottleneck.
Materials were not always delivered to production according to the required schedule, causing production waiting time.
The problem was not the production equipment.
The problem was the connection between storage and manufacturing.
After upgrading the warehouse with an automated storage and handling system, the customer improved material supply efficiency by 40%, with inventory accuracy reaching 99%.
For manufacturers of vacuum equipment and compressors, the requirement was even more specific.
Materials did not simply need to move from the warehouse to the production area.
They needed to arrive at the correct workstation according to production requirements.
This is why warehouse automation is becoming a key part of manufacturing operations rather than an independent storage project.
Another major change comes from increasing product variety.
This is especially obvious in automotive spare parts, retail, and e-commerce industries.
Customers expect shorter delivery times, while companies need to manage more product types and more complex orders.
Traditional manual picking can work when product variety is limited.
However, when SKU numbers continue increasing, the problem is no longer only labor cost.
It becomes a question of:
How can the warehouse maintain speed and accuracy as complexity increases?
The Toyota spare parts warehouse project provides a clear example.
The facility manages approximately 45,000 SKUs, including different sizes, categories, and turnover frequencies.
Before automation, operators spent a large amount of time walking through the warehouse to locate and prepare materials.
One warehouse employee mentioned that daily walking distance could reach around 30,000 steps.
When analyzing this project, the key challenge was not simply adding automation equipment.
The challenge was creating a logistics process that could handle different material characteristics efficiently.
Therefore, DELIECN combined:
Each technology handled different logistics tasks.
Large palletized materials, small spare parts, and transportation between different areas were managed through coordinated automation.
The result was a reduction of the supply cycle from 8 days to 2 days, while inventory accuracy reached 99.99%.
This project shows that successful automation is not about replacing people with machines.
It is about redesigning the way goods flow through the warehouse.
Another change we have observed is that more companies are focusing on storage density.
In many regions, expanding warehouse space is becoming increasingly difficult.
Land costs are rising.
Warehouse rental costs are increasing.
Building a larger warehouse is not always the most economical solution.
Therefore, companies are beginning to focus on a different question:
How can we create more storage capacity within the existing building?
This is one reason why high-density Automated Storage Solutions are gaining attention.
Automation allows companies to better utilize:
However, higher density is not only about saving space.
It also affects operating costs.
This is particularly important for cold chain warehouses.
A cold storage facility requires continuous energy consumption to maintain temperature.
If storage density is low, the company pays the same cooling cost while storing fewer products.
Therefore, increasing storage density directly improves the economic value of every square meter.
In the READLY food cold chain project, the customer required an automated warehouse operating at -25°C.
The challenge was not only achieving automatic storage.
The customer also needed to maximize storage capacity while reducing manual operations in a low-temperature environment.
After evaluating the warehouse conditions and operating requirements, DELIECN applied a low-temperature pallet four-way shuttle solution.
The system achieved:
For the customer, the value of automation was not simply reducing labor.
The bigger improvement was increasing the utilization of expensive cold storage space and reducing the operating cost per stored pallet.
As automation systems become more complex, another change is becoming clear:
Equipment alone cannot solve every management challenge.
Modern warehouses generate large amounts of operational data:
However, data only creates value when it can support better decisions.
In many traditional warehouses, managers still need to rely on experience to answer questions:
Is inventory sufficient?
Where is the bottleneck?
Can current logistics capacity support future production?
This is where digital management platforms become important.
In the YFY paper manufacturing project, DELIECN introduced a 3D Visualization Central Control System.
The system integrates information from warehouse operations, including:
Through the visualization platform, managers can understand the overall warehouse situation without checking multiple systems separately.
More importantly, the system changes the way decisions are made.
Instead of waiting for problems to appear, managers can analyze operational data, identify potential issues, and optimize processes in advance.
The warehouse is no longer just an operating area.
It becomes a source of valuable business information.
From our perspective, the future of Warehouse Automation will not be defined by how many robots a warehouse has.
The more important question is whether automation can truly understand and solve business problems.
Future Warehouse Systems will continue moving deeper into different operational scenarios:
The most valuable automation solutions will not only move goods faster.
They will help companies build more stable, flexible, and efficient supply chains.
Automation is not the final goal.
The goal is to use intelligent logistics technology to solve more problems in real business operations.
: Automation is shifting from individual equipment toward coordinated systems that connect storage, handling, picking, production supply, and shipping.
Rising land, rental, and operating costs are pushing companies to store more goods within the same warehouse footprint.
Automated storage, picking, and transport reduce unnecessary manual handling and help warehouses process complex, multi-SKU orders faster and more accurately.
AI can combine order, production, inventory, equipment, and shipping data to support operational analysis, early warning, and better decision-making.
Start with the actual business problem—storage capacity, throughput, production supply, picking efficiency, or future growth—before deciding which automation technology to use.






