Smart Surplus for Retailer
r4 XEM can make this affordable and scalable.
Smart Surplus AI solutions for retailers are designed to help manage and monetize excess inventory intelligently using artificial intelligence. These solutions reduce waste, improve profitability, and support sustainability goals by predicting surplus, identifying causes, and recommending optimal actions.

Solution Description

Surplus Forecasting

  • Predicts surplus at SKU, store, and regional levels using:
    • Sales trends
    • Seasonality
    • Promotion effectiveness
    • Supply chain data

Root Cause Analysis

  • Identifies why surplus occurred:
    • Over-ordering
    • Inaccurate demand forecasts
    • Failed promotions
    • Supplier delays

Markdown Optimization

  • AI recommends pricing strategies to clear surplus while maximizing margin:
    • Dynamic markdowns
    • Bundling
    • Flash sales
    • Clearance events

Redistribution & Reallocation

  • Suggests moving surplus to locations with higher demand.
  • Optimizes logistics to reduce transfer costs and time.

Alternative Monetization

  • Identifies non-traditional channels:
    • Donations (for tax credits and ESG)
    • Secondary markets
    • Recycling or upcycling

Sustainability & ESG Reporting

  • Tracks environmental and social impact:
    • Waste reduction
    • Carbon savings
    • Donation value
Benefits for Retailers
  • Reduced inventory write-offs and holding costs
  • Increased recovery from surplus stock
  • Enhanced sustainability and ESG performance
  • Improved planning and operational efficiency
Request a Conversation