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Multi-billion Dollar Retailer Case Study

Case Study

A Multi-billion Dollar Retailer Uses Merchandise Analytics to Increase Inventory Sell-Through and Prevent Lost Sales Due to Stockouts

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The client is among the leading retailers in the Middle East, spread across 17 countries. They operate in lifestyle and fashion retail businesses, with over 500+ stores and serving over 750,000+ customers on a daily basis.

The Challenge The client was facing major challenges in merchandise planning and operations due to their multi-format, multi-brand, and cross-industry retail profile. With Algonomy, they aimed to:

  • Generate accurate, reliable, and timely insights to improve their merchandising planning and related decisions.
  • Improve sales forecasting while accounting for factors like promotions, price changes, and weather.
  • Prevent stock outs as well as overstocking, which were common occurrences due to a missing single view of inventory across stores.

Product Used

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Top Brands Trust Algonomy

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Use Algorithmic Merchandising to Ensure the Right Assortment, Availability & Price Everywhere

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Precise demand forecasting

Predict demand with pinpoint accuracy while factoring in everything from holiday, seasonal, and planned promotions to product attributes and geography.

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Insights-driven assortment planning

Leverage automated store clustering, depth and breadth, size-pack recommendations, and style intelligence to improve your full-price sell through.

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Agile inventory management

Use predictive forecasts at the beginning of the season or product launch to get advanced notice of potential stockout or understock scenarios.

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Intelligent price discounts

Identify products and styles for markdown. Get markdown predictions while factoring in business constraints like target margin %, inventory, or sales.

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Multi-billion Dollar Retailer Case Study