Post by Uilson Trojano

I help companies build AI-driven Supply Chains | Supply Chain Data Scientist | AI-driven Supply Chain | Demand Forecasting & Inventory Optimization | Process Automation | APICS CLTD | Italian & Spanish Citizen

๐‘๐ž๐ฏ๐ข๐ฌ๐ข๐ญ๐ข๐ง๐  ๐š๐ง ๐š๐ซ๐œ๐ก๐ข๐ฏ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐ฆ๐ฒ ๐…๐จ๐ซ๐ž๐ข๐ ๐ง ๐“๐ซ๐š๐๐ž ๐ฃ๐จ๐ฎ๐ซ๐ง๐ž๐ฒ Back in 2012, I was interviewed by Logwin Magazine as Manager of Foreign Trade and Logistics at Dixie Toga (at the time, part of Bemis, one of the largest flexible packaging manufacturers in the Americas). The feature, "Designs as Long-Lasting Value," covered how we kept raw materials โ€” polyethylene, aluminium foil โ€” arriving on time from the US, Europe, Argentina, and China to supply Dixie Toga's 16 production plants across Brazil and Argentina. I spoke about how the constant risk of customs delays meant we needed specialists who truly understood our products and our needs โ€” and how Logwin had been a strategic partner in that challenge since 2008. More than a decade later, that same principle still guides my work: understand the problem deeply before choosing the tool. Today, that logic is taking me from operational supply chain management into data science applied to demand forecasting โ€” where the question isn't "what's the most sophisticated model?" but "what's the right model for this decision, and what does it cost to get that choice wrong?" ๐Ÿ“Ž Sharing the original magazine page as a record of this chapter of my career. ๐Ÿ‡ง๐Ÿ‡ท Versรฃo em portuguรชs: https://lnkd.in/drptkm57 #SupplyChain #ForeignTrade #DataScience #DemandForecasting #CareerJourney

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