Real-Time Visibility Mitigates Port Congestion for Leading Chemical Distributor
Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Chemical Sensors
Applicable Industries
- Agriculture
- Mining
Applicable Functions
- Logistics & Transportation
Use Cases
- Last Mile Delivery
- Port Automation
Services
- Data Science Services
About The Customer
The customer is a specialist chemical distributor established in the 1980s. The company is renowned for its market expertise in facilitating the supply of chemical solutions from manufacturers to industrial consumers worldwide. With a robust presence in over 11 countries and a portfolio of 3000+ products, the company serves all major markets, including agriculture, rubber, cosmetics, lubricants, mining, and more. It is one of the leading brands in the chemical distribution space, handling over 200 international shipments per month.
The Challenge
The company, a leading chemical distributor with a presence in over 11 countries, faced significant challenges due to the pandemic-driven port congestion that affected global trade. With over 200 international shipments per month, ensuring timely delivery was a top priority. However, the port congestion disrupted over 51% of the company’s shipments. The prolonged port delays impacted the production cycles of the company’s suppliers, especially in the far East, North America, and Europe, compromising delivery schedules across regions. The company also struggled with a capacity crunch as vessels queued outside ports and turnaround times increased. Securing cargo space became challenging due to lack of visibility over space availability and changes in lead times. Additionally, communication gaps arose as keeping stakeholders informed about changes in arrival timings, delays in transshipments, etc., became increasingly difficult due to a lack of reliable information on port delays and inefficiencies in tracking updates.
The Solution
The company sought a solution that could provide visibility into port delays and optimize their shipment planning. GoComet’s GoTrack Automated Shipment Tracking module provided the solution. With proprietary machine learning algorithms, GoComet’s Port Delay smart tool calculated delays at major ports across the globe and automatically notified the company of uncertainties affecting their shipments. The company also gained real-time cargo tracking capabilities, receiving live updates on the exact location and movement of shipments via advanced track and trace technology. This allowed the company to address potential bottlenecks and optimize shipment planning. The platform also provided predictive updates on delays and ETAs based on on-ground developments and data analytics, equipping the logistics team with actionable insights. The carrier service reports generated by the platform helped them identify the most reliable service providers. Furthermore, the GoComet platform shared live tracking updates with the company’s stakeholders for their specific orders, enhancing the customer experience.
Operational Impact
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