Stockly
Maria Serra Valente is a data analyst at Stockly since May 2021, with previous experience at BNP Paribas CIB in quantitative research and trading assistance roles. Maria has a strong foundation in economics and mathematical finance, having earned an MSc from ISEG and a BSc in Applied Mathematics to Economics and Management. Additional education includes participation in an Erasmus program at Université Paris Dauphine and training at Centrale Lille. Maria has also held various teaching positions at ISEG and has interned in credit management at Vodafone, developing skills in data science and econometrics. Currently pursuing a master's degree in Economics & Public Policy at Iscte, Maria demonstrates a commitment to academic and professional growth in the fields of economics and finance.
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Stockly
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In today’s highly competitive market, e-commerce websites have to deal with a large variety of products in order to drive traffic and conversion, which results in low inventory.30% of e-shoppers drop their buying intention because of stock-outs. This is a huge loss for e-commerce websites. Stockly allows them to keep selling even when they are outof stock, using the inventory of other merchants competitive landscape.