YDISTRI
Peter Hanko's work experience begins in 2005 when they worked as a Financial Analyst at ŠKODA AUTO a.s., where they prepared long-term and operating plans for the company and supported the implementation of purchasing workflow.
From 2006 to 2013, they worked at GE Capital, holding various roles including Customer Value Manager, Product Finance Manager, and Lead Financial Analyst. In these positions, they managed financial and business planning, created and implemented strategic programs, and conducted cost benefit and sensitivity analyses.
In 2013, Peter joined GE as a Base Cost Leader, responsible for managing base costs. Peter later moved to GE Renewable Energy in 2016, where they served as a Senior Finance Manager for R&D, Engineering, and Product Management until 2018.
From 2019 to 2021, they worked at BDP International as the Finance Director for Germany and at Home Credit International as a Senior Regional FP&A Manager.
In 2021, Peter Hanko joined DoDo as a Business Development Manager and later transitioned to the role of Chief Commercial Officer at Ydistri.
Peter Hanko attended the Prague University of Economics and Business from 2000 to 2005. Peter pursued a Master's degree in Business Administration and Management, with a focus on General studies.
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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.