Friday, November 4, 2016

Data disruption in Transportation!!!


Global trucking revenue pool is close to $ 2 trillion dollars which is about 20X the cab market revenue pool. Even in the developed market such as US, it is a highly fragmented & antiquated business which lacks use of technology and data.


If U are an aspiring leader in technology & data, this is the place to be for the next 5-10 years for the following 3 reasons


·     It is a large & highest growth market to create impact, second only to goods commerce. More the internet commerce happens, higher the need of logistics & trucking to move goods


The next Amazon & Alibaba will come fm Supply Chain technology & data disruption.


·     The technology & data play is only starting to begin. Data availability is exponentially increasing through GPS, smartphones & IOT sensors


·     The problems are far more challenging & futuristic. It requires interplay of automation using IOT/driver assist systems, advanced mathematics/algorithms & high quality UI/UX to exponentially increase adoption. Many other sectors don’t offer such a wide range & depth of problems


Truckkers.com is leading the wave of disruption in trucking through a combination of the following factors


·     Unique operational ideas based on driver & network relay. First globally.


·     An outstanding Mgmt team across business, operations & technology


·     A strong & unflinching belief in the power of data


Truckkers.com has already attained a high quality business scale in India & aspires to build solutions which are applicable globally. In the truest sense, it has the potential to do what Amazon & Alibaba have done to ecommerce, Uber has done to cabs & several other disruptors have done to large global markets. The next 5-10 years is going to be exciting & enriching – some of the sample problems Truckkers.com teams work on:


Network relay model

The driver relay model needs sophisticated technology to ensure that millions of trucks can run smoothly every month with several millions pilot changeovers. The underpinning of this technology is a network model that can predict estimated time of arrival, simulation models to predict vehicle arrivals, wait time optimization & driver performance & behavior. This model brings everything together fm the network & creates a coherent stream of output to make the pit stop changeover process seamless & scalable


Fuel analytics and optimization

Fuel is one of the biggest operating cost in logistics & fuel pilferage is a rampant problem for any trucking company having fleet of vehicles. However, reliable technology solutions are not available at present to prevent pilferages as the values fluctuate & the data has to be processed real time for even small reduction in fuel value. A fuel graph is a volatile time series graph, very similar to some of financial time series models & requires both predictive & heuristic problem solving approach. 


Resource allocation and optimization

In trucking any idle capacity – truck or the driver is a fungible capacity. U cannot keep less or more of capacity at any point in the network. This is a massive problem & requires queuing theory, linear programming & advanced mathematical modeling to ensure the system is optimized & balanced


Human behavior analysis

Good driving is at the core of making logistics successful. This means that every minute of driving across the network has to be monitored & analysed. The big data fm past & current has to be constantly evaluated to determine & predict the driver's behaviour. This needs to be done in real time to know how a driver is driving to make immediate corrective actions. Is the driver in control of the vehicle? Is the driver driving carefully? Is the driver driving cautiously? These are just some of questions that needs to answered to convert a qualitative system via quantitative model.


Geo analytics

All the vehicles at Truckkers.com are fitted with several different sensors & IoTs. These IoTs generate massive amount of data that needs to be processed, consumed & analysed. The analysis & data science on this data turns Truckkers.com vehicles into smart vehicles. The smart vehicles run on a geo-grid & we are building very advanced location analytics engine for constant monitoring & simulating intelligent events. We are building an artificial intelligence layer based on machine learning & deep learning approach for simulation such as demand-supply matching, traffic maps (imagine Google Maps for logistics), hotspot & density analysis.


Time continuum and visualization

Truckkers.com is building a time continuum of its key resources that will allow to predict & create performant & efficient logistic system. A time continuum is analysis & visualization of all that is happening during the lifecycle of the resource & is a solution that gets built after applying algorithms, intelligence & predictive behaviour on a time-series on huge quantities of data. This needs scalable real time & batch processing over big data.


Line haul planning

Line haul planning optimizes the plan based on historical demand, volumes & service time commitments. The planning model determines the number of vehicles required on each route & network in an optimized way such that the shipments can be routes in the most efficient way. This planning can also be used for processing center capacity planning & building sales strategy to optimize the entire network. This problem is inherently an LP problem with multiple optimization & requires very sophisticated approximation & heuristics to solve it.


Tech platform

One of our over-arching goals is bring trailers/ trucks in India online in the next 1 - 2 years. We are building a high quality tech & data platform to bring the entire trucking commerce (fuel, service, brokerage, resale,) online to ensure higher efficiencies, lower costs & data led optimization for individual trailer / truck owners.This is an immensely exciting project being led by world class engineers.


The future will be better if we waste less & use less & less resources for more & more output. Truckkers.com core operating philosophy is based on this approach – through use of data we want to further gain the marginal efficiencies to make the world of logistics as automated, efficient & safer as possibl

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