YDISTRI
Petra Svestkova has a diverse work experience that spans various industries. Petra currently works as a Business Consultant at Ydistri, where they provide SaaS for BM retail chains and utilizes algorithm to optimize product transfers. Prior to this, Petra worked as a Pricing Analyst at MallGroup, where they facilitated communication between sales and developers to improve the pricing tool. Petra also has experience as a Business Improvement Consultant at MallGroup, where they focused on optimizing sales processes, and as a Process Expert at Komerční banka, where they utilized Lean Six Sigma methodology to improve business processes. Petra has also held roles at H1.cz, Rainmaking Loft Berlin, TechSquare, ČEZ, a.s., and the Regional Authority of the Ústí Region. Their roles in these organizations varied from account management to operations and community management. Overall, Petra has demonstrated their proficiency in business consulting, process improvement, pricing analysis, and project coordination throughout their career.
Petra Svestkova's education history begins in 2001 at Gymnážium Václava Hlavatého v Lounech, where they obtained their Maturita degree in General Studies. From 2009 to 2012, Petra attended Prague University of Economics and Business and completed their Bachelor's degree in International Business/Trade/Commerce.
In 2012, Petra enrolled at the University of Nebraska-Lincoln and studied Business Administration and Management, although the specific degree obtained is unknown. Petra returned to Prague University of Economics and Business in 2013 and earned a Master's degree in International Business, Trade, which they completed in 2016.
During their master's studies, Petra also pursued further specialization in Information Management. From 2014 to 2015, they attended the University of Malaya, Asia-Europe Institute, and received a Master of Arts (M.A.) in this field.
Beyond their formal education, Petra obtained a Green Belt Certification in September 2018 from ICG-Capability s.r.o. This certification, however, is not directly related to their academic qualifications.
YDISTRI
Ydistri is an algorithm-computed redistribution tool for the identification of unsold inventory (called „dead stock“) at current locations/stores. Instead of disposing of such goods at discounted prices, our AI tool forwards them to another store within the chain, where the goods have sales potential for the full price. It always consolidatessuch combinations of goods that are cheaper to re-allocate than sell out with discounts. The logistic costs are one of the key parameters we take into consideration. On top of the unsold stock optimization, our tool is also successfully solving the issue of suppliers out-of-stock due to balancing the inventory from stores with inventory surpluses to stores with a lack of inventory. In the current situation of massive supply-chain disruptions, almost half of our redistributions at our existing customers are covering out-of-stock.