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Oniverse Selects RELEX Solutions to Unify Manufacturing and Retail Operations
Italian vertically integrated retailer adopts advanced production and demand planning solutions to enhance efficiency and visibility in supply chain operations.
Healthy Options to Improve Product Availability with RELEX
Philippine specialty retailer to implement AI and ML-driven forecasting & replenishment capabilities to reduce waste and ensure superior customer experience.
Wipro Announces Strategic Partnership with RELEX Solutions
The integration with RELEX’s AI-based supply chain and retail planning platform will enable joint clients to optimize end-to-end retail operations and inventory planning.
dm-drogerie markt Selects RELEX to Optimize Forecasting and Replenishment Processes
Germany’s top-selling drugstore company to expand relationship with RELEX to boost product availability in 12 European countries.
RELEX Solutions Named a Leader in Collaborative Supply Networks Analyst Report
RELEX recognized as a Leader for the first time in this report by independent analyst firm, for demonstrating “a superior vision of an adaptive and autonomous supply chain…”
Obramax enhances efficiency with RELEX Solutions in new distribution center in Brazil
Obramax, a building materials wholesaler in Brazil announced an expansion of their partnership with RELEX Solutions, provider of unified supply chain and retail planning solutions.
Empik to Unify Supply Chain and Retail Operations with RELEX
Polish leading omnichannel retailer to transform their store, floor, and space planning and replenishment strategy with end-to-end offering from RELEX.
RELEX Survey: 86% of Consumers Cutting Holiday Budgets as Retailers Brace for a Critical Season
New Research Reveals Dramatic Shift in Consumer Spending Habits and Brand Loyalty.
REMA 1000 to Improve its Demand Forecasting and Replenishment with RELEX Solutions
REMA 1000 Denmark, a leading Danish grocery retailer and wholesaler, has selected RELEX Solutions, provider of unified supply chain and retail planning solutions, to improve the accuracy and efficiency of their demand forecasting and replenishment processes.