Bobby Katoli, Co-Founder & CEO of Ceres Technology, shares his insights on the future of supply chain management through AI. He discusses the critical need for transparency in supply chains, especially amidst global disruptions like pandemics and political conflicts. Bobby also highlights how to effectively integrate traditional and non-traditional data for better decision-making. Furthermore, he emphasizes the importance of being 'AI ready' to tackle data challenges and enhance predictive analytics in high-stakes industries like agriculture and coffee.
Supply chain transparency is essential for mitigating risks from disruptions like pandemics and geopolitical conflicts, enhancing operational foresight and supplier management.
Utilizing AI and advanced data analytics enables businesses to predict supply chain disruptions, improving inventory decisions and streamlining procurement strategies.
Deep dives
Challenges in Supply Chain Transparency
Supply chain transparency is crucial for retailers and manufacturers to understand and mitigate risks associated with various disruptions such as weather events, pandemics, and geopolitical conflicts. A lack of visibility can lead to issues in product pricing, shortages, and relationship management with suppliers. Increasing transparency allows businesses to forecast the supply chain better, ensuring they order the right amount of cargo and understand potential delays. Key risks identified include logistical, economic, and geopolitical factors, which can severely impact supply chains across different sectors.
Leveraging Technology for Supply Chain Solutions
The development of technology has provided innovative solutions for businesses to improve supply chain management. Initially established as a coffee company, one organization transformed its focus to technology after identifying transparency issues during the supply chain process. Their technology aggregates extensive data from both internal systems and external sources to provide insights, which enhances visibility and risk assessment. This blending of traditional and non-traditional data enables companies to anticipate risks more effectively and streamline operations.
Data-Driven Decision Making in Supply Chains
A significant aspect of navigating supply chain risks lies in effective data management and utilization. Companies that consolidate and analyze their data can achieve improved insights into their operations, allowing them to make informed decisions regarding supplier selection and inventory management. By applying predictive analytics, organizations can forecast potential disruptions and adjust their procurement strategies accordingly. The success stories of companies using this platform illustrate how robust data practices lead to operational efficiencies and risk mitigation.
In this episode, we explore the future of supply chain management with Bobby Katoli, Co-Founder & CEO of Ceres Technology. Join us as we dive into how AI is transforming the field and being used to predict and mitigate upstream supply chain risks for manufacturers and retailers. Explore how to anticipate disruptions, overcome procurement challenges, and implement strategies for transparent, multi-tier supply chains in high-stakes industries.
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Ceres Technology uses AI to understand supply chain risk, product availability, and cost.
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Beyond The Buy podcast connects listeners with industry experts, leaders, and founders, for a full immersion in the world of eCommerce, retail, technology, and sustainability. We brings you up close with the visionary founders and industry leaders behind some of the fastest-growing eCommerce and retail brands.
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ReturnGO is a cutting-edge post-purchase platform for eCommerce stores that simplifies workflows while boosting revenue and sustainability.
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