Billion Data Points! LogiNext Reaches a Milestone Untouched by Most in Enterprise Mobility Solutions!
A billion data points. One for every 8th person in the world. One for almost every vehicle in the world. Comprehensive location tracking data points encompassing more than three continents including North America, Asia, Northern Africa, and Southern Europe. It doesn’t get any bigger than this. Before we dive in deeper into the significance of having the power of a billion data points by your side, let’s understand why tracking data points are needed in the first place.
Our desire to know more and be better has been the fulcrum point of our success and progress as a culture, society, and individuals.
We have done great things and then found out how to make those great things better. And when we were done, we tried to figure out a way to make the process of doing the same thing faster and more efficient.
Why do we do this? It’s because achieving greatness needs effort and dedication. If something can be done, it can be automated. Only then would one have the free energy, time, and dedication to pursue something totally disruptive and innovative. That’s why machine learning and Internet of Things are so important at this turning point in our generation. We must automate the process to perfection which would help us move ahead to more challenging tasks.
So, we know that automation is necessary for growth and progress. We also know that a machine learning, over and above a mean critical level, is required to attain such automation.
What is then required to make machine learning successful? Data Points!
Data points are the scalable, and interlinking units of information that hold a unique set of data pertaining to any irreplaceable knowledge set. Data points may also hold fungible or fuzzy data which then point to more unique of irreplaceable information. For example, unique data points might include locational identities such as latitudes and longitudes(lat-long); addresses; directions; etc. Fungible data points (which are also unique and are used in conjunction with the core irreplaceable information as and when required) are traffic and weather information pertaining to a location at a precise moment in time.
A multitude of these fungible data points contributes to creating data or information trends (in correlation with the lat-longs) that become the foundation of machine learning. This means that if your vehicle moves through traffic in the peak evening hours on weekdays, then a machine learning enabled system can then suggest the eventual traffic patterns (and traffic time-frames) you might experience in the future.
Think about a data point as each minor function of your body. Each data point occupies the exact task your body should do at a time such as walking, breathing, capturing vision, hearing, etc. Now when you are reading this, you are sitting (perhaps), breathing, capturing the words as information, registering your surrounding through your senses, and making sense of the full set to then process it into actionable insights, which right now is understanding this article.
You can do all this because your body has automated every function and now your historical ‘learning’ or experience helps you to run your life properly. For instance, you know if you have an early meeting, you must sleep early in the night to be well-rested and fresh for the same.
That’s machine learning. And as it has been established, it requires a critical mass of data points to make it a truly powerful support.
This brings us to the central point of this article. LogiNext has become the primary authority in the global population of data points. We now have more than ‘1 BILLION’ data points across the world.
The next question that arises is why should you be excited about the same?
Cost leadership has become the primary strategic target for most companies. Heightened competition demands customer centricity. Companies must either make their product/service exceptional or give the end-customer a higher value through a larger service bundle (or both scenarios together). To invest in this growth, companies have two major bottlenecks.
- Cost associated with service fulfillment or product replenishment. This cost is in excess of the core value generating investments (often considered as an overhead).
- Lack of forecasting ability to streamline the above-mentioned costs.
These points make the companies wary of progressive disruption and they often end up sticking to what has been tried and tested previously. Such practices, without an emphasis on innovation, eventually make the companies lose connection with the customer. We have already seen some big names such as Toys “R” Us being phased out of their core business because they didn’t react to market variations in time.
What LogiNext does is bridge the gap between the uncertainties of operation. Through our exhaustive data points population and our patented machine learning algorithms, we track all your resource movement which are on-field for service fulfillment or product delivery/replenishment. We optimize their routes, again leveraging our machine learning, to suggest the most cost and time effective routes available towards the destination. This boosts your on-time deliveries, complying with your estimated time of arrival and your service level agreements. This brings down your detention and delay costs while streamlining your invoicing (which we also fulfill through our intuitive and agile mobile apps). Your overall turnaround time goes down and at the same time, your resource capacity utilization rate goes up.
The real-time tracking and optimization can be accessed at any level in your company, which brings in visibility, control, and accountability in your operations. More importantly, with this real-time visibility, you can react much faster to any service disruptions, customer distresses, or product quality hassles. This increases customer satisfaction and loyalty. Congratulations, you just turned your primary cost point into your potential core competency.
Now, the next question you may ask, is how do we do it?
Well here’s the secret… we are really good at it. The tracking data points are captured through multiple source points. Through our mobile apps, the movement information is accurately captured and recorded in our database. The same thing happens with our trackers which ensure your shipment moves on-time.
The location and tracking data points are captured over the internet. What about the available bandwidth? Our apps and trackers are designed to work with the minimalistic bandwidth, including 2G. The same apps and trackers are also capable of working offline where they utilize triangulated GPS networking to understand location movement.
These tracking data points are then passed on to our filtering system which qualifies the ‘Good’ data and eliminates the bad, or erroneous data. You may have heard the phrase, Garbage in-Garbage out, which essentially means that if your input data is bad, your results would be flawed. Well, due to our superior pattern recognition platform, the data passing through is always 100% accurate.
As the data flows through, our machine learning algorithm process the information and directs them along two channels. One is the alert mechanism. If the information reaches any set parameters in terms of service level agreements or service checkpoints, then the respective alert is sent to all stakeholders. For example, if your vehicle carrying industrial chemicals is not allowed to exceed a preset speed and yet such an event occurs, our system would alert immediately and you would be able to take appropriate actions for the same. Similarly, if some delivery personnel is nearing their destination, then an alert about the same would be sent to the authorities and the customer regarding the development.
The other channel for data movement is analytics. Our pattern recognition, or in other words machine learning algorithm, perform in-depth analysis on the data and captures trends and actionable insights which are then passed on to you as reports. These reports help you to decipher what has worked in your operations, what hasn’t, and what can be done better. This is where the second bottleneck mentioned before can be addressed.
Technology is no longer a business entity, it has become the foundation stone of an entire progressive ecosystem.
Machine learning is the present and the future, with multiple industries adopting it into their core functionalities. Data points are the basis of this entire structure, and we just crossed a billion of them.
Let’s raise a toast to a brighter future. We are already on our way there and we are ready for you to join us.