Data Science for Supply Chain

Supply chain optimization impacts every industry, from retail to manufacturing, transportation to warehousing. Machine learning and AI bring additional opportunities to tighten supply chain logistics using new sources of data and new techniques that can radically improve operations, most notably at the hyper-local level. In January 2018, Business Insider found that 42% of organizations surveyed identified supply chain and operations as driving revenue from AI capabilities today. During this webinar, Japan Tobacco International shares insights on what data science did for their company's logistics & stock optimization: In direct selling operation models, logistic optimizations play a key role since the internal organization is fully responsible for the end to end distribution chain. Optimizing the daily van loading means minimizing load/unload operations, optimize the time spent in the warehouse, still keeping under control out of stock potential losses. We will cover the following: - Jesus Oliva, Data Science & AI Expert at Japan Tobacco International, shares insights on what data science did for his company's logistics & stock optimization - How Dataiku can help organizations to introduce AI-driven processes into the supply chain - How the Microsoft Data Platform and partner ecosystem can help enterprises to transform into data-driven organizations and what is the needed culture change to build a data gravity culture Please be aware that by registering for this webinar, you agree to have your information shared with Dataiku's partner Microsoft.