Rivigo Hero’s Journey (RHJ)- Embark on a life changing experience

Posted in People & Culture, Rivigo

Hero’s journey vs leadership program

‘Hero’s Journey’ program at Rivigo (based on the work done by Joseph Campbell many centuries ago) is a two-year life changing experience is aimed at unleashing the potential of the talent we hire by facilitating them with unique and challenging work experiences and a conducive environment. This program is uniquely different from other leadership programs and is built on the following principles –

  • Heroes aspire for the “unattainable”; Leaders aspire for the “best”
  • Heroes develop an irrefutable inner strength and power; Leaders develop strength and power to create impact
  • Heroes are perfectionists; Leaders better previous work
  • Heroes thrive on challenges and obstacles; Leaders manage/avoid challenges and obstacles
  • Heroes are hugely inspirational and help people discover their own path to success; Leaders lead people through a common and well laid path

The hero’s journey is a program to develop a new set of heroes, who will go on solve complex problems, become entrepreneurs and CEO’s and help build a better India and a world

Rivigo – A natural world for heroes

Rivigo wants to open up the path toward accomplishing whatever you feel compelled to do in your own life. We have an absolute confidence in the ability of humans to overcome anything. Rivigo provides a truly diverse experience from managing truckers to building breakthrough technology products. It has set new global standards of excellence in delivery times, business scale up, infrastructure, project execution and in everything we’ve done so far. Rivigo is here to mentor and nurture heroes who can challenge the status quo, rewrite the game, push the boundaries, expand the horizon, think the unthinkable, solve unsolvable problems and improve lives of our people, clients in their quest to become their own best.

Rivigo ensures that this journey is intense yet reflective; engaging yet fun; tough yet protective in order to bring the best out of its people. It is a journey of crossing the threshold between the unknown and known in us not only to leave our mark on the world, but to make it a better place. So, here’s a call for adventure!

Write to us at hero@rivigo.com

Reproduced from linkedin article by Deepak Garg, founder & CEO, Rivigo.

Rivigo closes $75 million Series C funding

Posted in Leadership, Rivigo

Our mission at Rivigo to change logistics industry and improve the life of driver just got some excellent support. Rivigo has closed $75 million Series C funding with Warburg Pincus. Warburg Pincus was a key investor in Bharti Airtel where they made one of the largest private equity exit in India. Here are links to some media coverage.

Rivigo raises $75 million in Series C funding from Warburg Pincus (ET)
Warburg Pincus bets `500cr on logistics co Rivigo
(TOI)
 Warburg Pincus invests $75 mn in logistics startup Rivigo (vccircle)

funding

The success behind Rivigo is Deepak’s leadership, vision, business acumen and setting up a world class team with mission focus on getting things done.

Data disruption in trucking

Posted in Analytics, Data visualization, Decision Making, Disruption Opportunities, Internet of Things (IoT)

Global trucking revenue pool is close to USD 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 and antiquated business which lacks use of technology and data.

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

  1. It is a large and highest growth market to create impact, second only to goods commerce. More the internet commerce happens, higher the need of logistics and trucking to move goods. The next Amazon and Alibaba will come from Supply Chain technology and data disruption.
  2. The technology and data play is only starting to begin. Data availability is exponentially increasing through GPS, smartphones and IOT sensors.
  3. The problems are far more challenging and futuristic. It requires interplay of automation using IOT/driver assist systems, advanced mathematics/algorithms, and high quality UI/UX to exponentially increase adoption. Many other sectors don’t offer such a wide range and depth of problems.

Rivigo is leading the wave of disruption in trucking through a combination of the following factors

  • Unique operational ideas based on driver and network relay. First globally.
  • An outstanding leadership team across business, operations and technology
  • A strong and unflinching belief in the power of data

Rivigo has already attained a high quality business scale in India and aspires to build solutions which are applicable globally. In the truest sense, it has the potential to do what Amazon and Alibaba have done to commerce, Uber has done to cabs and several other disruptors have done to large global markets. The next 5-10 years is going to be exciting and enriching – some of the sample problems Rivigo tech and data 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 and driver performance and behavior. This model brings everything together from the network and creates a coherent stream of output to make the pit stop changeover process seamless and scalable

Fuel analytics and optimization

Fuel is one of the biggest operating cost in logistics and 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 and 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 and requires both predictive and heuristic problem solving approach. We are building patented fuel technology involving many complex algorithms and data science models to improve fuel efficiency.

Resource allocation and optimization

In trucking any idle capacity – truck or the driver is a fungible capacity. You cannot keep less or more of capacity at any point in the network. This is a massive problem and requires queuing theory, linear programming and advanced mathematical modeling to ensure the system is optimized and 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 and analysed. The big data from past and current has to be constantly evaluated to determine and 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.

location-intelligence

Geo analytics

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

Time continuum and visualization

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

Line haul planning

Line haul planning optimizes the plan based on historical demand, volumes and service time commitments. The planning model determines the number of vehicles required on each route and 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 and building sales strategy to optimize the entire network. This problem is inherently an LP problem with multiple optimization and requires very sophisticated approximation and heuristics to solve it.

Tech platform

One of our over-arching goals is bring 2 million trucks in India online in the next 3-4 years. We are building a high quality tech and data platform to bring the entire trucking commerce (fuel, service, brokerage, resale, financing) online to ensure higher efficiency, lower costs and data led optimization for individual truckers. This is an immensely exciting project being led by world class engineers.

The future will be better if we waste less and use less and less resources for more and more output. Rivigo’s core operating philosophy is based on this approach – through use of data we want to further gain the marginal efficiency to make the world of logistics as automated, efficient and safer as possible.

Please do reach out at hemant@rivigo.com if you have common interests.

The future of transport is closer than you think!

Posted in Disruption Opportunities, Driverless, Internet of Things (IoT)

A convoy of truck recently traveled in Europe as part of the European Truck Platooning Challenge. One of the convoys traveled more than 2,000 KMs platooning where ever possible with all driverless trucks following the lead truck with a driver inside.

The driverless trucks open up several possibilities including higher utilization of inventory, lower fuel consumption (which is a bug cost) and less human errors leading to overall safety and better efficiency in the system.

4230

This week as part of Kista Mobility Week Program, Ericsson is offering test rides of driverless buses from and to Kista Galleria in Sweden.This is a very interesting demonstration of what is possible around future transport.

The transportation industry is huge both in volume and financial terms. And it is witnessing massive disruption that will change the way people and goods get transported. I am very excited about the kind of technology, intelligence and innovation that it will require to build such a system and operate at a scale.

Uber, Please Simplify Airport Booking!

Posted in General

I am a frequent Uber customer but I always find it difficult to book an Uber cab from the Bangalore airport. The reason is simple – poor internet connectivity at the airport arrival area. Since the app does not behave well with the limited connectivity, I always end up using an alternative. This must be a problem for many other passengers as well and lost customer opportunities for Uber.

On the flip side, if I am an Uber cab driver, I will prefer not to pick passengers for airport drop-off because I will find it difficult to get a return trip from the airport. Double whammy.

What if Uber builds an airport button that can fast-track the entire booking process? Why does it need to find so many vehicles that are available, then show it on the map and then allow the booking process? That just uses lot of bandwidth and takes time. I really don’t care to see which cab I am booking. I just want to know if there is a cab that gets booked and I can head home as fast as possible. Uber can always build intelligence on the cab inventory at the airport and use it while booking.

Less internet usage with faster booking process!

How Rivigo is contributing to the future of internet!

Posted in Hot, Leadership, People & Culture, Technology

For many of us Internet is all pervasive. It is essentially a medium without which we cannot imagine our present day lives. What started as a mechanism to connect several machines has grown to break political and social boundaries of the physical world that we live in.

And it has a profound impact in India too. The impact can be seen in all walks of life – banking, travel, social, politics, entertainment etc. The list is endless. However, the reach and penetration of internet is still limited to the big cities. Not surprisingly, lot of new application development is biased towards places where internet usage is already dense.

internet-rivigo

At Rivigo, we are changing that. Our business model involves thousands of people who are part of the logistics value chain to deliver business benefits to our customers. These people are connected to Rivigo technology platform from many remote places in India. Learning, understanding and using new age technology is how they go about doing their day’s job. And that is mandatory. Rivigo is making technology accessible to people in such remote places and creating a real need for them to be part of the internet.

This is what I believe is the future of internet – connecting people who are already not connected! And Rivigo is just doing that with its technology platform.

Alibaba Singles’ Day Sales – What it means for technology in logistics

Posted in Analytics, Disruption Opportunities, Internet of Things (IoT)

On November 11, Alibaba posted a record $14.3 billion in sales on Singles’ day passing every record that any company have ever posted. And this is just the beginning of what it means for future of logistics.

According to the Bloomberg post, Alibaba quoted

“Alibaba estimated that 1.7 million deliverymen, 400,000 vehicles and 200 airplanes would be deployed to handle packages holding everything from iPhones to underwear. Mobile devices accounted for 69 percent of Wednesday’s transactions.”

This is significant in many ways. The technology needed for building such kind of reliable logistics has to provide intelligence at another level. Imagine a constant stream of geo-location data from half a million trucks.

How will you place such large number of trucks every day? What will be the placement algorithm that will be used?

How will the technology churn data at this large scale on a low latency system? How will you design technology for such low latency?

logistic technology

What about the memory and server farms that will be setup? What about the failure points in the system? The system cannot go down under any circumstances because there is no way to find something missing manually – a needle in haystack!

How will you monitor performance? Nobody can watch the normal performance of 400,000 trucks. Just imagine if looking at a truck takes 1 minute, you need 400,000 minutes or around 6,666 hours or cool 277 days to monitor these trucks. What kind of user interactivity that needs to be provided with the use of technology that will make 277 days job to a less than few minutes job.

There is a disruption in the logistic industry that requires another level of technology and it is inevitable!

Image courtesy – altronshpg

Building Data Architectures

Posted in Technology

At Rivigo Labs, we are building the next generation of data acquisition, processing and visualization tools that will drive changes in the logistics industry. This essentially means building a data architecture that can cater to the needs of this complex system. Here are some of the considerations that I have for data architecture that we are building –

1. Scalability – Can handle growing amount of works
2. High availability – Allows continuity of work
3. Performance – Responsive within reasonable time
4. Maintainability – Ease of making future changes
5.  Comprehendible – Easy to understand

Now, there are several technology that can fit the bill for any type of architectural considerations. But how do you select the right technology?

And, I believe this is a wrong question to ask at the initial stages of designing the data architecture. The right questions to ask are – What are the requirements? How the information and data will flow through the system? What are the events in the system and how they will be generated? Who are the consumer of the data?

The idea is to be able to draw a simple diagram that represents answers to the above questions. This will help understand the functionality and complexity of the system. And at this stage, it is essential to introduce discussions on the scalability of the system. I feel this approach is extremely cost effective because the cost of changing anything is as good as changing a diagram to represent new assumptions and flow.

data2

Once this stage is hashed out after considering exceptions and important edge cases, the time is right to think about what is the right technology to be used to build this system?

This way you are not forcing yourself to adopt to a particular technology but opening up to evaluate multiple technology that meets the design.