A lot of the statements made in the article are rather questionable.
Applying "digital learning" to saying schedules and saying that is a data culture? If the input is bad, improve the input of the data. What is stated regarding outdated schedules highly depends on the company. Some companies might be bad, but why try to improve bad data?
It seems more that they don't know about the different schedules you usually have. One is the proforma. It tells you that there should be a weekly call on some weekday at some time. But then for practical purposes you look at the estimated times the vessel arrives.
In the article they pretend that a vessel suddenly departed a day early without anyone knowing. That's really not how that works. Cargo needs to be delivered to the terminal. You're not going to silently advance such a vessel and not be able to fill it up with cargo. Cargo which then stands at the terminal for 6-7 days and causing problems for the next call (too much cargo).
Then this one:
> We’re still pretty much the only company that tries digitalization of an end to end shipment.
That the shipping industry as a whole is very inefficient is known. But it still seems like a lot of statements made in this article are rather questionable.
> We’re still pretty much the only company that tries digitalization of an end to end shipment.
They are totally BS'ing there:
Diversified Transportation Services (DTS) has had digital end-to-end shipping since at least 2009. That platform has made them a fortune. (Source: I worked with them for 5+ years and selected them as our preferred 3PL vendor because it was all web-based from end-to-end):
This is kind of a meta-comment, but one thing I love about this site is the amount of domain knowledge that comes out of the woodwork when articles like this are posted.
Think this commenter needs to get their facts right first.
First inttra doesn't allow shipper to make the booking it is purely a tool for forwarders. What Kontainers are doing is allow the shipper to do that them selves, and because of this behaviour is actually a pretty big deal. So inttra is not a competitor. Kontainer is removing this step, your making a comment on something you obviously know nothing about.
You should read the article properly before making comments. A schedule doesn't suddenly depart. What the article is saying is that the the data doesn't get into the distribution system fast enough but you can still ring up to get that schedule.
Applying "digital learning" to saying schedules and saying that is a data culture? If the input is bad, improve the input of the data. What is stated regarding outdated schedules highly depends on the company. Some companies might be bad, but why try to improve bad data?
It seems more that they don't know about the different schedules you usually have. One is the proforma. It tells you that there should be a weekly call on some weekday at some time. But then for practical purposes you look at the estimated times the vessel arrives.
In the article they pretend that a vessel suddenly departed a day early without anyone knowing. That's really not how that works. Cargo needs to be delivered to the terminal. You're not going to silently advance such a vessel and not be able to fill it up with cargo. Cargo which then stands at the terminal for 6-7 days and causing problems for the next call (too much cargo).
Then this one: > We’re still pretty much the only company that tries digitalization of an end to end shipment.
What about https://www.inttra.com/ ?
That the shipping industry as a whole is very inefficient is known. But it still seems like a lot of statements made in this article are rather questionable.