Bonus Buddy Solutions (Pty) Ltd is a South African company that has positioned itself using blockchain – the world’s most important emerging technology with a less technologically advanced industry – that of the haulage of heavy goods to help them reduce fuel consumption by 20%.
The company was founded by one of South Africa’s most innovative electrical engineers, Alexandria Township-based scientist, Thabiso Sekhoto. Sekhoto has successfully developed a wide range of electrical hardware such as meteorological sensors, vehicle tracking systems, an automatic teller machine and the Standard Bank Blue mobile payments system.
Sekhoto’s success has enabled him to develop a reputation within technology circles as one of the country’s best innovation and embedded software engineers.
Thabiso studied Electronics Engineering at Tshwane University of Technology before becoming an embedded hardware and integrated software developer. After working for Stephen Larkin between 2005 and 2009 creating mine fleet tracking systems, he has since started his own company where he has become a respected provider of innovation solutions. Apart from committing to projects that ANE has awarded him, he has created weather sensor solutions for the Council of Scientific and Industrial Research, the most used mobile phone payments system in South Africa called Standard Bank Blue and a stand alone automatic teller machine specifically designed to deal with the security risks, literacy challenges and electricity intermittency. He has 15 years of experience as an innovation engineer where he has been involved in the development of telemetry systems, banking systems as well as fleet management and meteorological sensor systems.
These include:
With these four interventions, Bonus Buddy plans to assist ANE in its objective to help larger trucks to save 20% of their fuel bill, which in turn will on average be worth an estimated £10k per year.
The company plans to build a network of devices as the considerable overhead of running these services will be spread over a larger volume. It estimates a £12 million investment over a 3 year period where it plans to invest in systems on over 3,000 trucks.
Based on the above assumptions, the business will generate a fuel savings of £37 million. 50% will be retained by the customer and it is expected that 20% of the savings will be required to provide the monitoring, analysis and onsite support services required to achieve with a gross profit of 30%. Net profit is estimated at £4.5 million based on the model assumptions.
The solution will involve implementing change that will result in a targeted 20% saving in fuel costs. These fuel saving gains will be shared 50/50 between the supplier and the client.
The solution involves embedded software & hardware modules deep into truck mechanics where it reduces direct fuel costs and share revenues on the following is using a combination of 3rd party interventions.