Metyis is a global, forward-thinking firm that develops and delivers AI & Data, Digital Commerce, Marketing & Design solutions, and provides Advisory services. Operating across a wide range of industries with a special focus on fashion, apparel, retail, and FMCG, Metyis offers cutting-edge strategies and end-to-end solutions. What sets Metyis apart is a distinctive long-term partnership model that goes beyond typical consulting by effectively combining disciplines to maximize impact for clients. Thanks to this embedded partnership approach, Metyis is able to address the ever-changing digital landscape and meet their clients' needs. This ability to quickly adapt and blend into clients' businesses is how Metyis has become a true Partner for Impact.

Metyis' suite of services and solutions is structured around four key areas:

-       AI & Data Solutions: We empower businesses through Generative AI, machine learning, and advanced data analytics, helping clients make data-driven decisions.

- Digital Commerce Solutions: We help clients build sustainable eCommerce capabilities and create unique customer experiences that drive growth.

- Marketing & Design Solutions: We enhance market presence and improve conversion rates with optimized content strategies across multiple channels.

- Advisory Services: We provide hands-on strategies that help navigate the business landscape, optimize operations, and achieve performance goals.

With a talent pool of over 1000 employees representing over 50 nationalities across 15 office locations worldwide, Metyis has grown significantly in recent years, expanding their global footprint while staying true to their mission of being Partners for Impact for their clients, people, and society at large.

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Unsold inventory in the fashion industry creates a dual challenge: significant environmental waste and substantial financial losses for brands through missed sales, high inventory costs, and expensive clearance solutions.

In this 2-hour case study at LED 2025, you'll partner with Hugo Boss, a Metyis client, to address these challenges through two strategic objectives: strengthening their sustainability initiatives and advancing their internal processes through data-driven decision-making.

Your task is to develop a demand forecasting model that supports the inventory buying process of Hugo Boss. By optimally allocating the buying budget across product categories, the model can play an important role in creating a sustainable buying process for Hugo Boss where sales potential is maximized and unsold inventory is minimized.

To build the predictive model, you'll have access to a comprehensive dataset encompassing historical sales data, planned promotional activities, weather patterns, consumer sentiment indicators, and economic metrics such as inflation rates. The integration of these diverse data sources will enable a sophisticated approach to demand prediction.

We are looking forward to seeing your innovative solution to this high-impact challenge!