Sanjay Sharma, Roambee CEO, on supply chains & cargo theft

Roambee is upgrading the global supply chain with AI-powered visibility to combat cargo theft. CEO Sanjay Sharma tells us about the technology Roambee uses

Roambee revolutionises supply chain visibility, ensuring timely, complete and secure deliveries of shipments and assets worldwide. Over 300 leading enterprises have harnessed Roambee’s real-time insights and predictive analytics to enhance customer satisfaction, service excellence, product quality, cash flow, operational efficiency, sustainability and automated logistics. 

Here, CEO Sanjay Sharma tells us about the technology Roambee uses, cargo theft trends and AI-driven solutions.


Hi Sanjay! What led you to this industry?

“In my past life, as co-founder and CEO of an RFID startup, we solved the problem of visibility within the four walls of the company. After its acquisition, I studied the various issues within the supply chain and discovered that real-time visibility outside of the four the walls of the company was lacking. In other words, companies had little or no knowledge of the movement of their goods and assets as they moved through the network and any relayed data was delayed and unactionable.

“Talking to many companies, we discovered that the problem was global. Real-time visibility is a precursor to digital supply chain transformation and Roambee was founded to deliver real-time visibility on demand globally and use it to transform the traditional supply chain to be autonomous, contextual, dynamic and self-healing.”


Tell us about cargo theft trends and how is Roambee’s technology revolutionising the landscape of cargo security?

“In the face of an alarming surge in cargo theft incidents, the security of cargo against theft is of paramount importance. Ensuring the safe and timely delivery of products is not only a logistical challenge but also a matter of safety. However, the traditional methods used to protect shipments, such as padlocks, electronic seals and manual control towers are no longer sufficient in today’s dynamic logistics industry. 

“These outdated techniques often result in a lack of timely insights into breaches, wasted time and resources chasing false alarms and increased insurance premiums. The urgency to reduce cargo theft and its associated problems in the logistics sector calls for innovative solutions.

“The escalating sophistication of cargo thieves, coupled with the intricacies of the global supply chain has elevated the importance of security measures. Traditional approaches, which often rely on mechanical and manual interventions, struggle to keep pace with the evolving strategies of criminals. Cargo theft has evolved into a dynamic and technologically driven threat, making it imperative for companies to embrace advanced technology to safeguard their supply chains effectively.

“Roambee, a global supply chain visibility provider, is offering an innovative AI solution to improve visibility of cargo. One compelling success story involves one of the world’s largest apparel manufacturers, managing 50+ factories and 248 lanes. Facing persistent theft issues, Roambee’s technology has transformed their shipping operations with tamper and security warning signals triggered by unauthorised container door openings. By identifying the top 16 high-risk lanes out of 248, Roambee’s AI has helped this manufacturer reduce security threats by 94% while enhancing overall supply chain security and compliance.

“Another illustrative case of a successful AI solution to improve visibility of cargo is exemplified by a leading pharmaceutical company facing the daunting challenge of drug theft in the highly dynamic South Asian market. This pivotal situation demanded a comprehensive solution that would not only safeguard their valuable pharmaceutical cargo but also elevate their supply chain security to unprecedented levels.

“However, the true game-changer lies in the real-time data and analytics generated by Roambee’s AI wireless sensors. This invaluable stream of information allowed the pharmaceutical giant to make informed decisions and accurate estimations regarding the arrival times of shipments at distribution centres. As a result, the risk of stockouts, a perpetual concern, was dramatically diminished, ensuring the uninterrupted flow of life-saving medications to those in need.”


Tell us about the crucial role of AI-driven solutions in detecting potential threats and enhancing overall supply chain resilience.

“AI-driven solutions play a crucial role in detecting potential threats and enhancing overall supply chain resilience in several ways:


Predictive Analytics

AI can analyse vast amounts of historical and real-time data to predict potential threats or disruptions in the supply chain. It can identify patterns, anomalies, and trends that might indicate future issues, allowing companies to proactively plan and mitigate risks.


Real-time Monitoring

AI-powered sensors and monitoring systems provide real-time visibility into the supply chain. They can track the location and condition of goods, monitor environmental factors, and detect any deviations from expected processes.


Risk Assessment

AI can assess various risk factors, such as geopolitical events, weather patterns, supplier reliability, and transportation delays, to calculate the overall risk to the supply chain. This helps organisations prioritise risk mitigation efforts.


Demand Forecasting

AI-driven demand forecasting models use historical data and market trends to predict future demand accurately. This ensures that companies can maintain optimal inventory levels, reducing the risk of overstocking or stockouts.


Supplier Risk Management

AI can assess the financial health and performance of suppliers, identifying potential risks before they impact the supply chain. It can also suggest alternative suppliers in case of disruptions.


Route Optimisation

AI algorithms can optimise transportation routes and schedules, considering factors like traffic conditions, fuel costs and delivery deadlines. This minimises transportation risks and improves efficiency.


“In summary, AI-driven solutions provide a data-driven, proactive approach to supply chain management. They enhance visibility, enable faster response times, and improve decision-making, ultimately strengthening supply chain resilience and reducing the impact of potential threats.”


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