Replenishment Demand Forecaster™ (RDF)

 Accurate Demand Forecasting is the cornerstone of successful retail planning. Our Demand Intelligence Solutions empower retailers globally to tackle challenges in merchandise, pricing, promotions, and inventory management.

Optimize Your Basics

Precise Forecasting for Core Products

All retailers have merchandise that’s ‘always in stock,’ often referred to as ‘Basics’ or ‘Continuity’ items. These include products that:

Churchill’s Replenishment Demand Forecaster(RDF) is a powerful software that enables retailers to accurately forecast demand on these basic items. RDF offers Flexible Forecasting Intervals based on operational needs and inventory cycles – forecasts can be daily, weekly, monthly or periodic, at the distribution center or store levels. Whether forecasting products that sell less than one unit per week or processing millions of forecasts per hour, Churchill’s RDF software delivers the functionality, scalability, and power to handle it all.

High Volume & Fractional Velocity Forecasting

RDF handles both high-volume and fractional velocity forecasts, making it adaptable for products that vary widely in demand levels.

Benefit: Ideal for retailers with a mix of high-turnover items and low-velocity basics.

Event-Shifting Algorithms

Includes “day of the week” and “week of the month” algorithms to manage event-based shifts in demand.

Benefit: Ensures forecasts remain accurate around specific weekly or monthly trends, adapting to recurring events.

Attribute-based Seasonal Profiling

RDF’s Attribute-based Seasonal Profiling functionality simplifies seasonal profiling for "always in stock" items.

Benefit: Streamlines demand adjustments for seasonal fluctuations, saving time and increasing accuracy.

Dynamic Model Stock Algorithms

Dynamic model stock algorithms optimize in-stock levels to meet fluctuating demand without overstocking.

Benefit: Helps retailers maintain optimal inventory, reducing stockouts and excess inventory.

Your Solution for Accurate, Scalable Demand Forecasting

With advanced algorithms specifically designed for essential, always-in-stock items, Replenishment Demand Forecaster™ (RDF) enables precise forecasting that dynamically adapts to seasonal trends and market fluctuations. Whether you’re managing stock across multiple locations or responding to shifts in demand, RDF integrates effortlessly with existing systems, helping you streamline operations, optimize core inventory, and make data-driven decisions with confidence.

Features

  • Multiple forecasting algorithms
  • Algorithm optimization functionality
  • Attribute-based seasonal profiling
  • Dynamic model stock algorithms
  • Event and calendar shifting functionality
  • Fractional unit forecasting
  • Extreme scalability
  • Full integration capabilities

Benefits

  • Specific algorithms for slow-moving product
  • Utilizes algorithms that best fit individual business objectives
  • Allows for massive profiling capabilities in a timely manner
  • Automatically adjusts min/max based on demand
  • Supports store/item-specific forecasting for large retailers
  • Integrates with customer’s existing planning software

Additional Resources

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