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RELEX

RELEX Solutions offers an integrated retail and supply chain planning system that enhances inventory management and demand forecasting for retailers. By optimizing stock levels and improving supply chain efficiency, the platform helps businesses reduce costs and increase service levels globally.

Helsinki, FinlandFounded 20052.2K50K+ followers
Updated 19 months ago

Funding

Funding not disclosed

BG
Funding rounds are not available yet.

Founders

Product

Problem

Retailers and manufacturers often struggle with disconnected planning systems, leading to inaccurate demand forecasts, inefficient inventory management, and increased costs. Siloed planning prevents a holistic view of the supply chain, hindering quick responses to changing market conditions and demand fluctuations.

Solution

RELEX Solutions offers a unified retail and supply chain planning platform powered by AI and machine learning to enhance demand forecasting and optimize inventory management. The platform integrates data across the entire supply chain, providing comprehensive visibility and control, enabling retailers and consumer goods companies to align demand planning, merchandising, supply chain, and operations planning. By automating manual processes and providing actionable analytics, RELEX enables businesses to make informed decisions, reduce waste, improve service levels, and drive profitable growth. The platform's no-code configuration simplifies deployment and allows for adaptability to changing business requirements.

Target Audience

The primary customers are retailers, wholesalers, distributors, and consumer packaged goods (CPG) manufacturers seeking to improve demand forecasting, optimize inventory, and streamline supply chain operations.

Features

  • AI-powered demand forecasting that combines automated forecasting with exception-based and collaborative demand planning workflows
  • Machine learning (ML) predicts the impact of demand drivers, including merchandising decisions, commercial decisions, external events, consumer preferences, and seasonality
  • Integration of retail data to capture demand changes caused by assortment changes, retail promotions, and new product introductions
  • User interface (UI) with dashboards at different levels to support review and reporting, and forecast visualizations
  • Probabilistic AI-based modeling that translates uncertainty in supply and demand into automated actions
  • End-to-end inventory planning to optimize stock levels and reduce stock-outs
  • Promotion planning and price optimization to maximize sales and customer satisfaction
  • Supply chain collaboration tools for visibility into shared plans, forecasts, and constraints across the end-to-end supply chain
This profile is AI-generated and may contain inaccuracies.