Supply & Demand Chain Executive, a leading global supply chain publication, has recognized aThingz as a recipient of the prestigious 2024 Top Supply Chain Projects award. This accolade highlights aThingz’s innovative project aimed at automating and optimizing supply chain operations.
The award specifically acknowledges aThingz’s collaboration with a Top 5 global automotive OEM, where they successfully enhanced logistics financial visibility. By integrating advanced technologies, including AI and machine learning, aThingz significantly improved accuracy in logistics financial planning, achieving a 20% increase in accuracy and sustaining overall performance at 95%.
Kannan Ramachandran, Chief Commercial & AI Officer at aThingz, emphasized the critical need for visibility into international shipments, which often span 30 to 120 days. The OEM previously faced challenges in forecasting costs and managing variances between planned and actual expenses incurred during shipment journeys.
aThingz addresses these challenges by leveraging shipment data from the OEM’s freight forwarders and carriers, meticulously analyzing execution networks and costs. Through reverse network planning and advanced predictive analytics, aThingz ensures precise financial accruals and enhances operational transparency.
Vijaya Neela, CEO & President of aThingz, highlighted their approach of integrating AI-driven insights to predict shipment volumes and associated costs, thereby optimizing financial planning and enhancing cash flow management.
Marina Mayer, Editor-in-Chief of Supply & Demand Chain Executive, praised the resilience and innovation demonstrated by supply chain companies over the past year. She emphasized that collaborations and technological advancements have been pivotal in driving efficiency and safety across the supply chain industry.
The recognition underscores aThingz’s commitment to advancing supply chain capabilities through transformative projects, ultimately setting new standards for operational excellence and financial transparency within the industry.
