FarEye and Dipper Tech Team (L-R) Suryansh Jalan, Gaurav Srivastava, Kushal Nahata and Ayush Syal
FarEye announced the acquisition of Dipper for an undisclosed sum. Dipper, founded by Suryansh Jalan and Ayush Syal in September 2015 is an IoT platform that provides visibility and predictability in freight movement, trusted by Fortune 500 companies and large manufacturers.
FarEye is founded by Kushal Nahata, Gautam Kumar & Gaurav Srivastava in 2015 is a global leader in last mile delivery platform, servicing 100+ customers across 5 continents.
This move reinforces FarEye’s growth plans to solve challenges for long-haul and multi-modal logistics. Dipper’s predictive technology platform provides logistics stakeholders end to end real-time visibility of their chain while enabling them with preventive management tools and easy decision making aided with smart KPIs and analysis.
Their propriety ML engine estimates real-time delay in freight movement. This helps shippers with better planning for arrival of goods, reliable transportation reducing inventory and benchmarking SLAs to reduce transportation cost.
The technology allows on-time deliveries, bottleneck mitigation, theft and pilferage reduction, digitised document digitisation with electronic proof of deliveries and dispatch orders, customer satisfaction and optimised operations.
According to Frost & Sullivan, in 2016, the size of the logistics sector in GCC was estimated to be $ $107 billion of which the road transportation sector accounted for $26.9 billion, growing at a conservative rate of 5% year on year.
Kushal Nahata, Co-founder & CEO of FarEye, says, “Shippers are losing a lot of time, money and inventory due to unpredicted freight movement. Transport infrastructure investment is projected to increase at an average annual rate of about 5% worldwide over the period of 2014 to 2025.”
The biggest problem in road transportation is lack of data because of fragmented industry with multiple stakeholders. Dipper provides a unique solution by using a mix of IoT devices, SIM cards, smartphones and its wide network of IoT/ERP providers.
The location data (received from IoT ecosystem) is fed into FarEye’s machine learning platform that then predicts estimated time of arrival in long-haul movements by learning the delays at tolls and terrains. It optimises resources of 3PLs and allows better utilisation while improving the SLAs for higher on-time deliveries, digitised payments and pilferage & loss control for best customer satisfaction.
With multiple stakeholders involved in the movement of freight, the supply chain has historically been like a black box for enterprises, with customers not knowing where and what condition their goods were in.
As the world moves towards a just-in-time manufacturing model that demands shorter and reliable supply chains, companies are rightly demanding to know the location and state of their goods at every stage of their journey. FarEye Transportation will give businesses complete visibility of goods from the start of their journey until the final destination and help foster collaboration among the various stakeholders and logistics processes.