We are no longer looking at a document as a scanned file,
but assess the document as offered:
These days, that is a digital document.
Technically speaking a different type of document that can be directly ‘machine read.’
With this approach, we are able to flawlessly interpret the entire document,
without traditional scan and ID techniques.
Take for instance a Rotterdam-based transport enterprise with partial deliveries to Zierikzee for a colleague from Groningen.
The Rotterdam transporter does not drive to Zierikzee every day, and stores the pallets with cargo in their warehouse. The storage period is a week on average, and all parties are perfectly content with this.
After delivering the cargo, there are sometimes pallets that are returned, and some pallets that remain in Zierikzee;
that means a loss of value without registration. The same goes for storage in the warehouse.
Overview requires effort
Separate shipments have been documented and can be digitally requested through linked systems.
Even so, the transporters are not capable of automatically registering returned pallets with a register number; overview requires manual labour.
With the current state of technology, we can provide digital insight into information flows.
File compilation without thinking, Big Data applied in practice.
It’s actually nothing new: the transport sector and food industry have been doing it for years with EDI.
Time to take a look at other elements in the transport sector in this data exchange.
Not just transport and logistics; this is only an example.
Each company where documents and information are shared have increasing interest in Data Capture.
The expertise shifts from ‘scan and ID’ to digital document interpretation.
Achieving results only requires a few actions. A sizeable profit compared to the previous scan technology where implementation was often a complex process.