The Philippines logistics sector has no shortage of meetings, forums, working groups, and public-private discussions. These are useful. In a country where ports, customs, terminals, truckers, shipping lines, airlines, warehouses, importers, exporters, and forwarders all affect each other, coordination is not optional.
But coordination without clean operating data has limited value.
Recently, DEPDev asked the logistics sector to submit priority concerns and recommendations to help address the impact of the Middle East conflict. This is a fair request. Rising fuel costs, shifting routes, shipping uncertainty, air cargo pressure, and higher operating costs are not issues that one party can solve alone.
The question is whether the logistics sector can respond with facts strong enough to support action.
The usual industry concerns are well known. Port congestion. High yard use. Slow container withdrawal. Empty return delays. Truck turnaround time. Storage. Demurrage. Customs release. Air cargo capacity. Higher fuel cost. Late documents. Long payment cycles.
These are real issues. Every operator in the Philippines has seen some version of them.
But when these issues are discussed only as complaints, the result is weak. Each party sees the problem from its own position. The importer blames the broker. The broker blames late documents. The forwarder blames the carrier. The trucker blames the terminal. The terminal blames yard use. The customer blames everyone.
This is how logistics discussions often go in circles.
Data can change that.
Not big data in the fashionable sense. Not complex dashboards for boardrooms. Basic operating data, captured properly and used honestly.
For example, when a container is delayed, the useful question is not only “why was it delayed?” The useful question is where the delay started, how long it lasted, who had the next action, and what cost it created.
Was the commercial invoice received late?
Was customs filing delayed?
Was the goods declaration lodged but not acted on?
Was DO release pending because payment was not posted?
Was the trucker waiting for a slot?
Was the yard too full to accept empty returns?
Was the consignee not ready to receive the cargo?
Was the carrier charge received after the job was already billed?
Each answer points to a different fix.
Without data, all of these get grouped under one broad word: delay.
That is not good enough for an industry trying to fix its cost base.
The same applies to high yard use. ACTOO’s recent discussion with truckers, international shipping lines, terminal operators, container yard operators, and other players is a practical example of the kind of issue that needs shared data. High yard use affects container withdrawal, empty returns, truck turnaround, and overall supply chain flow.
But high yard use is not one problem. It is a chain of smaller problems.
A container may not be withdrawn because DO release is pending.
It may not be withdrawn because the consignee cannot receive it.
It may not be withdrawn because the trucker does not have a slot.
It may not move because payment is pending.
It may be ready, but the customer does not know.
It may be cleared, but the forwarder’s system has not pushed the update to the right team.
If the industry cannot separate these causes, it will keep treating every port issue as a port issue. That is wrong. Some delays start at the port. Many start before the cargo reaches the gate.
This is where IT in logistics becomes important.
A good logistics system should not only record shipments. It should record events, timestamps, responsibility, and cost impact. It should show when documents were received, when customs filing was done, when release was obtained, when the DO was issued, when the truck was assigned, when the container was pulled out, when empty return was completed, and when billing was closed.
That sounds basic. In many companies, it is still not available in one place.
The data may exist, but it is split across emails, spreadsheets, phone calls, customs portals, carrier portals, terminal systems, and internal notes. By the time management reviews the problem, the trail is incomplete. By the time the customer complains, everyone is trying to rebuild the story from memory.
This is poor control.
It also weakens the industry’s ability to speak to government. If the sector wants action on fuel cost, port processes, truck routes, air cargo facilities, customs flow, or empty return rules, it needs numbers.
How many shipments were delayed?
Which lanes were affected?
Which ports saw the highest delay?
How much storage was incurred?
How many cases involved late documents?
How many involved DO release delay?
How many involved truck waiting time?
How much did costs vary from the original quotation?
How many invoices were delayed because carrier costs came late?
These are not academic questions. They decide whether the industry can prove its case.
This is also important as Clark grows as a cargo point. Clark airport’s operator has allotted 30 hectares for a proposed Cargo City, with warehousing, logistics operations, and cold storage in view. Clark handled sharply higher cargo volumes in 2025, and cargo flights also grew.
That is positive for Central Luzon and for shippers who need options beyond the usual gateways.
But new capacity alone will not solve old process problems. If Clark grows without clean digital handoffs, the same issues will move to a new location. Late documents will still delay cargo. Poor status updates will still cause customer pressure. Weak cost capture will still hurt margins. Poor coordination between air cargo, truckers, brokers, and warehouses will still create avoidable waiting time.
Capacity must be matched with information flow.
A cargo hub is not only a runway, warehouse, truck bay, and cold room. It is also a chain of data events. Acceptance. Screening. Customs. Storage. Loading. Trucking. Delivery. Billing. Exception handling.
If these are not connected, the hub may be modern but the work around it will remain slow.
The same point applies to Middle East disruption. When routes change and fuel costs rise, logistics companies need faster answers. Which shipments are affected? Which customers are exposed? Which contracts allow cost recovery? Which quotations need revision? Which lanes have higher risk? Which carriers have changed schedules? Which air cargo options are still viable?
This cannot be managed only by calls and emails.
The companies that handle disruption better will be the ones with clean shipment data, cost data, customer data, and exception data. They will know which shipments need action. They will know where margin is under pressure. They will know which customers must be informed first.
The weaker companies will only know that things are getting difficult.
That is not enough.
For logistics operators, the practical starting point is simple. Track the right events. Capture timestamps. Record the reason for delay. Link cost to the shipment. Close the loop after billing. Review patterns by customer, lane, port, carrier, and service type.
This does not require fancy language.
It requires discipline.
If a DO was delayed, record why.
If storage was incurred, record who had the next action.
If the truck waited, record where and how long.
If billing was delayed, record whether the issue was missing cost, missing document, or internal approval.
If customs release took longer than expected, record whether the delay came from data, permits, inspection, payment, or system availability.
Over time, this becomes evidence.
Evidence improves internal control. It also improves industry dialogue. It allows the sector to move from general complaints to specific fixes.
That is what government also needs. Broad concerns are easy to hear but hard to act on. Clean data is harder to ignore.
The Philippines logistics sector does not need more vague discussion about bottlenecks. It needs sharper facts about where the bottlenecks begin, how they move through the chain, and what cost they create.
Meetings can start the conversation.
Data must carry it forward.
In logistics, the party with clean data has the stronger argument.
About the Author
Amit Maheshwari is the CEO of Softlink Global. He built Logi-Sys, a freight platform now used by logistics companies in more than 50 countries. With over three decades in the logistics technology industry, he focuses on solving day-to-day operational problems in freight forwarding through practical software systems. He writes the “IT in Logistics” column for PortCalls Asia, where he cuts through technology hype and discusses the real issues that affect cargo movement, compliance, and operations across Asia and global trade lanes.
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