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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![Image link](https://algonomy.com/wp-content/uploads/2020/12/robinsonssupermarket.png)
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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.
Insights-driven assortment planning
Leverage automated store clustering, depth and breadth, size-pack recommendations, and style intelligence to improve your full-price sell through.
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.
Want to learn more about our merchandising solutions?
Read the Case Study
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