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Angelini Beauty Simplifies Demand Planning with Blue Yonder
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Consumer Goods
Applicable Functions
- Procurement
- Product Research & Development
Use Cases
- Demand Planning & Forecasting
- Inventory Management
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Angelini Beauty, a leading global manufacturer and distributor of fragrances and cosmetics, faced challenges in accurately predicting demand and defining profitable stock levels due to the seasonal and trendy nature of its products and the geographically scattered markets it serves. The company operates in 85 markets worldwide, which means it has a lot of demand variability based on seasonality and shopper preference, not to mention trendy and short-lifecycle products. Prior to partnering with Blue Yonder, Angelini Beauty relied on manual analysis and had no real visibility to actual demand. Their processes were slow and inaccurate.
About The Customer
Angelini Beauty is a leading global manufacturer and distributor of fragrances and cosmetics, through licenses with fashion firms and luxury brands. The company is headquartered in Milan, Italy, and operates in 85 markets around the world. Because of the seasonal and trendy nature of its products, as well as the geographically scattered markets it serves, Angelini Beauty struggled to accurately predict demand and define profitable stock levels. The company needed a solution that could manage the complexity of its product lines and customer markets, and improve forecast accuracy.
The Solution
Angelini Beauty partnered with Blue Yonder on a cloud-based implementation of its demand planning solution, replacing manual processes and spreadsheets with automation and robust analytics. Blue Yonder’s demand planning solution manages the complexity of Angelini Beauty's product lines and customer markets. It leverages multiple history streams, forecasting algorithms, promotional information and event data to improve forecast accuracy. It classifies Angelini Beauty's products based on their demand patterns, applies the right forecasting algorithm, and automatically assigns the right stock levels. The solution also harnesses the power of machine learning to analyze potential demand-influencing factors in real-time. This powerful software-as-a-service (SaaS) solution helps Angelini Beauty develop a collaborative forecast that effectively predicts and shapes consumer-driven demand across segments and markets, as well as throughout its products’ complete lifecycles.
Operational Impact
Quantitative Benefit
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