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 consolidates such 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.
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 consolidates such 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.
TL;DR
What they do: AI-powered SaaS that redistributes unsold/underperforming retail inventory across store networks to increase full-price sales and reduce markdowns
Founded / HQ: Founded 2019; headquartered in Prague, Czechia
Funding: Seed ~€2.5M (June 2021); total funding reported ≈ $3.05M
Team size: Reported ~26–50 employees (sources vary)
Company Overview
Problem Domain
Retail inventory optimization; dead stock reduction; supply-chain balancing
Founded
2019
Industry
SaaS; Retail technology; Supply chain
Funding Track Record
€2.5M
Publicly disclosed investors include V-Sharp Venture Studio, Nation 1 (N1), Falco Capital, and Marton Szoke
Investor Signal
“Seed backing from strategic/regionally active investors (V-Sharp Venture Studio, Nation 1, Falco Capital, Marton Szoke)”