Clearance Price Elasticity Module™ (CPE)
Empowers retailers to optimize clearance pricing, driving maximum revenue while efficiently reducing excess inventory.
Designed to Address End-of-Season Inventory Management
Set Clearance Prices to Maximize ROI and Clear Inventory
The Clearance Price Elasticity Module™ (CPE) is a powerful solution designed to help retailers optimize end-of-season inventory management. Whether you’re handling seasonal goods, expiring items, or surplus stock, CPE provides actionable insights to recover costs and maximize value from unsold products. It identifies the limitations of markdown pricing, ensuring you avoid excessive discounts that erode sales or margins. For inventory clearance goals, CPE offers detailed predictions of how much stock will sell at various price points. Additionally, it analyzes your clearance pricing history, helping you understand which categories, lines, or items are elastic or inelastic to price changes, enabling more informed decisions for future strategies.

Solution Features
The CPE helps retailers strike the right balance between discounts and profitability during clearance. It targets items nearing expiration, seasonal unsold goods, or surplus inventory by predicting the impact of various price reductions (e.g. 50%, 75%, 90%) on clearance goals. Here are the key benefits of this solution:
- Reduces waste and labor costs from unsold inventory
- Supports markdown strategies for efficient sell-through
- Adaptable across retail contexts, from apparel to seasonal goods
What Makes CPE a Game-Changer?
Churchill’s Clearance Price Elasticity Module™ uses advanced neural network models built from your clearance history to forecast customer reactions (Lift) to markdown price options. This ensures you can predict how different price reductions will impact demand while accounting for depleted assortment profiles, such as limited sizes or seasonal items.
Demand Insights for Strategic Pricing
- The Clearance Price Elasticity Module™ analyzes how different discount levels impact customer demand
- Adjusts for depleted assortment profiles (e.g., remaining extreme sizes in apparel)
Tailored Pricing Strategies for Your Goals
- Provides optimal pricing tailored to your goals, whether maximizing revenue or clearing inventory by a specific deadline
- Offers two modes:
- Predictive Mode: Merchant sets the price; CPE forecasts demand
- Prescriptive Mode: CPE recommends the most effective price to achieve retailer objectives
Advanced Insights and Predictive Power
- Inventory Clearance Forecasting: Predicts how much of your remaining stock will sell through at different clearance price points
- Elasticity Analysis: Analyzes historical pricing data to identify which categories, lines, or items are elastic or inelastic to markdown pricing
Relevant Resources
Where Demand Forecasting Actually Pays Off
Better demand forecasting isn’t a dashboard upgrade — it’s a profit engine. When you tighten error and bias, you sell more at full price, carry less inventory, cut expedites and chargebacks, and free planners from spreadsheet firefighting. So, Where Does Demand Forecasting Actually Pays Off? Read this blog and explore.
Why Sell-Through Forecasting Is Retail’s Most Underrated Advantage
Most retailers track sell-through, but few forecast it. This article explores why Sell-Through Forecasting is one of retail’s most overlooked tools — and how it helps retailers allocate smarter, reduce markdowns, and protect margin by acting earlier in the product lifecycle.
How to Leverage Halo and Cannibalization Effects in Retail Forecasting
Retail success isn’t just about predicting how one product will sell; it’s about understanding how your entire assortment interacts. A price drop, a new launch, or a headline promotion can ripple across categories, boosting some products while stealing sales from others. These cross-product dynamics, known as Halo and Cannibalization effects, shape true demand and profitability far more than most retailers realize.