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Demand sensing software

Stay ahead of demand shifts with rapid, AI-driven responses

With fluctuating markets and rapidly changing consumer preferences, relying solely on historical data for forecasts can hurt efficiency, profitability, service levels, and customer satisfaction.  

RELEX demand sensing is a key part of our machine-learning (ML) demand forecasting, using new signals from internal and external data to quickly capture sudden demand changes and create accurate, dynamic forecasts that adapt to market shifts for faster, more demand-focused responses. 

Increase product availability

Higher

service levels

Improved

inventory turnover

Reduced

waste & spoilage

RELEX closes the gap between demand signal and supply chain response

With expertise built on years of experience, RELEX understands how to best integrate downstream data with upstream planning. Our demand sensing solution harnesses current data from multiple sources to identify demand signals faster, providing a comprehensive picture of demand needs to improve supply chain performance and deliver better business results.  

Key features

Detect immediate changes in demand and consumer behavior  

RECORDING

RELEX Talks Demand Sensing: The Key to Supply Chain Excellence

RELEX and guest panelists Capgemini Invent explore the future of demand planning, focusing on the transformative impact of machine learning in the consumer goods and manufacturing industries and on how ML improves the precision of demand forecasting.

Benefits

Improve forecasts, product availability and create better inventory turnover

Extract POS data downstream for a better demand signal.

  • Enhance operational efficiency by providing data-driven insights to help teams outmaneuver disruptions, optimize costs, reduce excess inventory, and minimize waste. RELEX demand sensing increases supply chain flexibility and resilience by enabling effective short-term planning and ensuring long-term adaptability to future market conditions. 

  • Achieve greater efficiency by automating data processing, allowing planners to generate accurate forecasts and make strategic decisions. Plan more proactively by providing accurate, granular forecasts that incorporate current demand behaviors, enabling better inventory and promotion management. 

    Elevate service levels and improve inventory turnover 

    With more accurate, timely forecasts, retailers and manufacturers can tailor production and procurement with actual customer demand, ensuring product availability.  

    Reduce waste and spoilage

    Drive smart order decisions with demand sensing to fulfill demand with the accurate volume of each product at the right time to reduce excess inventory, especially important with highly perishable or seasonal items.  

    “Following the introduction of machine learning, we were extraordinarily impressed to see just how much further RELEX algorithms could improve our forecast accuracy and stability—improvements critical to our ability to manage the complexity specific to our industry and business model.”

    Tapani Potka 
    SVP, Delivery Chain Management, Atria

    Case study: Atria

    Atria significantly improved their forecast accuracy and stability after implementing RELEX machine learning-based forecasting capabilities.

    Resources you might be interested in

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