trackIT: Transforming Container Logistics

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Avi Azulai, Founder and CEO, trackITAvi Azulai, Founder and CEO
Despite being the lifeline of international trade, supply chain logistics remains one of the most fragmented industries. The ever-prevalent information gap or time events take to be updated among all the stakeholders grows wider with technological inadequacies, which is the principal cause of several inefficiencies in supply chain logistics, including reduced visibility, delays, increased cost, thefts, and wastages. To address these issues businesses must start with a substantially higher level of visibility. trackIT has developed innovative technologies and solutions that provide critical decision-making information and predictions to mitigate inefficiencies of supply chain logistics for shipping containers. Combining context sensitive tracking algorithms, IoT-based sensing devices, and a the trackIT data-driven Event Recognition Platform, the company enables shippers, freight forwarders, shipping companies, and importers to accurately monitor the conditions of their cargo and containers and receive real-time events during transit that their decision support systems need.



Although dry box containers carry the bulk of the goods around the world, most of the existing technologies only carry around five sensors on these containers (excluding reefers). This offers limited event information that can be deduced with a high level of certainty. Some of these technologies require permanent fixtures into containers rendering the solution too expensive to be fitted into all containers, thus reducing the coverage for all customers. trackIT is significantly ahead of the market with more than 20 sensors, which is upgradable to 255 sensors based on the clients’ requirements. These sensors along with the Event Recognition algorithms deliver enhanced visualisation of containers, including real-time tracking of location and condition of cargo, real-time alerts on shipment departure and arrival, and an accurate assessment of the events that may need to be addressed urgently with the cargo. The enhanced visibility improves clients’ efficiency manifolds by enabling clients to discover new events and reduce false positives or false negatives.
Notably, the company’s solutions and services come at very affordable entry prices, enabling clients to enjoy significant benefits from the outset. Clients can upgrade their information requirements depending on the cargo value and other factors that affect their decision support systems per container load. Further, trackIT’s solutions have no permanent installation requirements and can be installed in the containers and removed at the end of a journey with ease. No training is required for staff.

Moreover, leveraging big data analytics from the industry as well as from their systems from machine learning algorithms, trackIT provides critical operational insights, improving the decision-making abilities of the clients. For instance, if the contents of a particular cargo are deteriorating due to temperature and / or humidity in a container, trackIT’s algorithms can accurately predict this in real-time and report it to clients in advance, which enables them to take necessary steps to avoid wastage. With this information, clients can improve their profitability by selling their products before they go rancid. Additionally, it will also help reduce wastage of cargo due to decomposition, which stands anywhere between 15 to 25 percent today.

Most importantly, trackIT is among one of the very few companies globally that build a knowledge base by ‘anonymously’ collecting data from all of its devices and uploading it to its database to make data-driven predictions for all of its clients. “Our clients can leverage trackIT’s data-driven predictions before their container starts its journey,” states Avi Azulai, CEO/Founder, trackIT. For instance, if a client’s container has to reach Houston from Shanghai, trackIT uses previous data of containers travelled on the route to render accurate predictions about all the possible contingencies during the journey. This information enables clients to improve their supply-chains and reduce costs.
  • Our Clients Can Leverage Trackit’s Data-Driven Predictions Before Their Container Starts Its Journey


trackIT intends to create an open collaborative model that will enable other players to work within the technologies and systems that it has built. This collaboration will deliver the client the efficiencies they need to achieve. By conforming to the Digital Container Shipping Association (DCSA) requirements for shipping companies, trackIT will also ensure that its clients can achieve further cost savings with anything new that the DCSA will be offering for its shippers.

The full offering from trackIT will enable shippers to automate functions that need their intervention, wherever possible. In this way, decisions that need quick responses to can be done even when the shipper is not awake in their time zones. Days and weeks are lost because of events that happen when the shippers are not being notified timeously.

Although COVID 19 exposed the obstacles of logistics, the industry was already on the brink of disruption due to several inefficient practices. With its innovative solutions and services, trackIT is well on course to transform container logistics for all the stakeholders by enabling the complete industry rather than just a select number of containers.
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trackIT

Company
trackIT

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Avi Azulai, Founder and CEO

Description
trackIT has developed innovative technologies and solutions that provide critical decision-making information and predictions to mitigate inefficiencies of supply chain logistics for shipping containers. Combining context sensitive tracking algorithms, IoT-based sensing devices, and a the trackIT data-driven Event Recognition Platform, the company enables shippers, freight forwarders, shipping companies, and importers to accurately monitor the conditions of their cargo and containers and receive real-time events during transit that their decision support systems need.

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