In today's data-driven world, data is for many businesses as essential as the blood in our veins. Companies store a lot of data in all types of systems. Storing data is important, but storing low quality data makes it a useless effort. When we look at optimization packages, data is THE most important factor. Using data with low quality, equals non-usable outcomes of the optimization. Garbage in is garbage out. So, detecting that garbage and turning it into a valuable asset is an necessary first step. Data cleaning is a process that might require too much time but as experience grows, you get to know the quick sanity-checks that will often save a lot of time. Below we list some validations, ranging from 1-minute scans to deep analysis simulations.Read More
As a transport or distribution company, you are unfortunately not unfamiliar with the message that a shipment of goods will be delayed. Nonetheless, updates of the ‘Earliest Time of Arrival’ (ETA) also present some opportunities. Knowledge of the latest ETA offers chances to both the customer and the transporter, enabling the latter to design a number of meaningful services.Read More
Successful businesses constantly work on staying ahead of the competition. Continuous innovation is simply part of the game. For business that have a substantial transport need this means, among other things, investing in quality transport optimization software. Investing is more than just putting money on the table. It includes making the right preparations for a fluent implementation to fully reap the benefits. Enterprises who innovate continuously gather experience and know the frequently occurring challenges. In this post, we point out 6 hurdles that come with a new software implementation project and how they can be overcome.Read More
In todays smartphone society, knowing who is where is considered normal. Who hasn't got a mobile phone? Everybody is constantly mapped, tracked and traced. You "check in", share your location, let the world know where you are. All that location-information is captured quite easily through geographical coordinates. These geographical coordinates typically consist of a latitude and a longitude. For people to interpret that stored location-information, these latitudes and longitudes are depicted on a map or translated into addresses. The process of translating latitudes and longitudes into addresses is called 'reverse geocoding'. Addresses are more interpretable for people. It's what we are used to and what we know.
When we want to feed that information into a system, these addresses are usually translated into geographical coordinates. That process is called geocoding. As adresses can be vague at times, proper geocoding is crucial. Needless to say that this is an understatement for transport industry.
In this blog, we'll illustrate the advantages of geocoordinates compared to addresses and why having a decent geocoding tool at your disposal is essential in transport industry.Read More
Data has become a critical part for many businesses in almost any industry. The transformation of unstructured data (information for humans) into structured data (information that computers can interpret) has been going on for decades. The point where the use of structured data boosts efficiency has long been reached but to reach its full potential, that data must be reliable and clean. In transport business, proper data is vital to maximally deliver added value. To get to that state of reliability, discipline and commitment is needed. This requires time and effort. The benefits will be felt in every layer of the organization and beyond the domain of route optimization. The benefits not only stem from the data itself but also from the insights that come with the focus that is required to get that clean data.Read More
When exploring the transport industry, we are shocked by the number of transport companies without planning software. We often ask ourselves why well-established values lack proper route optimization tools. Time and again, the added value through cost savings is demonstrated. If it is so obvious, how come so many experienced players opt to leave their money on the planning table?
We all know garbage in equals garbage out. This rule also applies to optimization packages. It is crucial to feed planning software with clean data if you aim for good results. Therefore, if only garbage is at hand, the necessary steps must be taken to clean that dirty data. This usually requires time and effort.
Spending resources on cleaning dirty data feels like a short-term solution when you know there are better, long term alternatives.