Discover Business Deep Dives at Albert School

Faced with a real-world challenge from Moncler, Albert School students analyzed key factors influencing optimal workforce planning across Moncler’s global retail network. By examining operational data and retail trends, they identified actionable insights to enhance staffing efficiency and support Moncler’s international growth. This project gave students hands-on experience in data-driven retail management and strategic workforce planning.

At the Milan campus, Albert School students took on a real-world challenge set by Google managers: crafting a data-driven go-to-market strategy for ProprioGO’s expansion into the Spanish housing market. Students blended market analysis, competitor benchmarking, and the development of acquisition and scoring models to deliver actionable recommendations. This Business Deep Dive provided hands-on experience in digital strategy, data science, and high-pressure problem-solving.

At the Geneva campus, Albert School students partnered with the United Nations Office of the High Commissioner for Human Rights (OHCHR) to enhance HRDx—a global platform centralizing human rights information. Tasked with stress-testing this vital tool, students assumed the roles of journalists, diplomats, researchers, and students to map diverse user journeys. Their challenge: identify pain points, design user surveys, and deliver actionable recommendations to improve HRDx’s usability and impact. This Business Deep Dive gave students hands-on experience in digital product audit, user research, and consulting within a high-stakes, mission-driven context.

At the Geneva campus, Albert School students took on a high-stakes challenge from Crédit Agricole Indosuez Wealth Management: harnessing twelve years of data on Switzerland’s 300 largest fortunes to drive business development and expansion. Students dove deep into data analytics, leveraging tools like natural language processing, vector databases, and relationship mapping to uncover actionable insights. Their task: recommend innovative strategies and build practical tools tailored to Indosuez’s suite of products and services. This Business Deep Dive offered a unique blend of data science, finance, and real-world consulting, culminating in a winning team being invited to Indosuez HQ for a strategy session on implementing their solution.

In Madrid, Albert School students joined forces with Amazon AWS to tackle one of education’s most timely questions: how can artificial intelligence transform non-technical university degrees? Over three intensive weeks, students explored the intersection of AI and higher education, mapping out which disciplines stand to benefit, identifying sector-specific needs, and analyzing the barriers to adoption. From business to the arts, their mission was to pinpoint practical AI applications, assess skills gaps, and envision the future of learning. The deep dive culminated in students designing innovative, AI-enabled learning models and proposing actionable roadmaps for universities to adapt and thrive by 2030.

At the Milan campus, Albert School students took on a real-world challenge set by UniCredit managers: designing an AI-driven solution to enhance the analysis of Italian SMEs. Students explored alternative data sources beyond traditional financial statements — including social media, online reviews, websites, e-commerce activity, and public registry data — to assess how they could strengthen SME evaluation. They then developed a high-level, GDPR-compliant AI architecture combining data acquisition, NLP, and machine learning techniques to support use cases such as credit assessment, segmentation, and growth analysis. This Business Deep Dive provided hands-on experience in AI strategy, data science, and innovation within the financial services industry. 

During the BDD, our students meticulously analyzed historical sales data to craft Louis Vuitton's Summer 2023 leather goods collection. They optimized product models, colors, materials, launch dates, and pricing to maximize revenue, minimize unsold inventory, and maintain desirability. Their data-driven approach provided actionable insights, enhancing Louis Vuitton's business strategy, while students honed their analytical and strategic planning skills, gaining invaluable industry experience.

A comprehensive analysis of Edmond de Rothschild funds over the past years was conducted by Albert School students to identify factors influencing collection performance. They provided insights on optimizing fund collections, suggesting targeted strategies per region. This analysis helped students gain valuable experience in financial analytics and strategic decision-making.

Albert School students were tasked with analyzing both internal and external factors that contribute to the success of Carrefour Voyages agencies. By examining sales data, customer demographics, and market trends, students provided actionable insights to help Carrefour Voyages optimize agency performance and drive growth. This project offered valuable experience in retail analytics and strategic decision-making.

In the first inter-campus Business Deepdive at Albert School, students from Geneva partnered with Valrhona to analyze commercial performance in key European markets. Drawing on business unit data, students identified actionable insights to support Valrhona’s growth and strategic decision-making. This project gave participants hands-on experience in international business analysis and collaborative problem-solving.

In Paris, Albert School students partnered with Grandir Group—a leading provider of early childhood education and care—to tackle the challenge of recruiting the right talent by improving recruitment processes. Leveraging data analysis and AI, students developed algorithms for candidate screening and process optimization, helping Grandir Group enhance the efficiency and quality of its hiring. This project gave students hands-on experience in applying data science and artificial intelligence to real-world HR challenges.

At the Geneva campus, Albert School students partnered with SwissBorg, a leading European crypto wealth management platform, to tackle critical challenges in user onboarding, client engagement, and product profitability. Armed with data from over 135,000 users, students analyzed the full customer journey—pinpointing onboarding drop-offs, modeling retention, and uncovering cross-product adoption trends. Their mission: design actionable strategies to streamline KYC and onboarding, boost client retention, and recommend innovative crypto product bundles to enhance profitability. This Business Deep Dive offered hands-on experience in data analytics, product strategy, and fintech consulting—connecting every insight to real business impact.

At the Milan campus, Albert School students partnered with Sense Reply—a specialist in digital transformation for the energy sector—to tackle the challenge of anomaly detection in electrical power consumption. Students developed machine learning algorithms to identify abnormal patterns in electricity usage, contributing to the broader goal of energy transition and decarbonization. This Business Deep Dive provided hands-on experience in AI, energy analytics, and the application of data science to real-world sustainability challenges.

Albert School students tackled a pressing sustainability challenge from Group SEB: how to achieve ambitious CO₂ reduction targets in line with the SBTi framework by 2030. Over a three-week sprint, students dove into four years of real company data, analyzing the drivers behind carbon emissions and visualizing the evolution of SEB’s carbon footprint. Their mission: identify actionable levers, propose strategic recommendations, and help SEB advance toward carbon neutrality. This Business Deep Dive combined rigorous data analysis, real-world environmental stakes, and high-level consulting—culminating in a final pitch to a jury of SEB professionals.

Albert School students partnered with EBRA Events to support the marketing transformation of Tech&Fest, Grenoble’s flagship tech event. With a brand-new internal marketing team stepping in for the first time, students were challenged to analyze participant data from previous editions and deliver actionable insights. Their objectives: help refine acquisition strategies across digital channels, reduce no-show rates by identifying key influencing factors, and design loyalty initiatives to boost repeat attendance. This Business Deep Dive blended data-driven marketing, real-world event management, and strategic consulting—culminating in practical recommendations to power Tech&Fest’s growth.

Albert School students were challenged by Descours & Cabaud, leaders in industrial distribution, to unlock the power of multichannel sales. With most customers still relying on traditional channels, the company saw untapped potential in boosting engagement with their digital platform, prolians.fr. Students analyzed four rich data sets to understand customer behaviors across channels, then crafted targeted email campaign strategies to drive web adoption and increase overall sales. This Business Deep Dive brought together data analytics, digital marketing, and strategic thinking—culminating in actionable campaigns designed to accelerate Descours & Cabaud’s digital transformation.

In Madrid, Albert School students took on a strategic challenge from Carrefour Spain: launching a new e-commerce business line to capture market share and boost digital growth. With a vast product offering—ranging from appliances to gaming and electronics—students were tasked with analyzing the competitive landscape, operational costs, and pricing strategies. Their mission: deliver actionable recommendations to optimize pricing, promotions, and logistics for a sustainable and profitable online platform. This Business Deep Dive combined real-world retail strategy, digital innovation, and data-driven consulting, culminating in practical solutions to help Carrefour excel in the fiercely competitive Spanish e-commerce market.

In Madrid, Albert School students collaborated with Talan to explore workforce dynamics and employee experience through data-driven analysis. The project centered on structured exit data, with students identifying distinct groups among former employees based on demographics, roles, tenure, and departure reasons. By developing nuanced personas, teams were able to propose targeted recommendations to support engagement and retention. Master’s students took the analysis further by incorporating insights from a variety of external sources—including professional networks, public reviews, and industry forums—to enrich their understanding and provide well-rounded perspectives for Talan’s HR strategy.

Albert School students took on a real-world marketplace challenge with SIXT ride in Madrid, focusing on the strategic and operational dynamics of a two-sided mobility platform. Their mission: uncover what drives Accepted Driver Price (ADP) inflation and develop solutions to control subsidy costs without compromising service quality. By analyzing factors such as market liquidity, matching frictions, risk constraints, and behavioral trends, the teams built a predictive KNN pricing model from historical ride data. They also crafted innovative incentive strategies—like speed-acceptance bonuses and loyalty mechanisms—to reduce strategic waiting and improve platform efficiency.

During their Milan Business Deep Dive, Albert School students acted as Digital Managers at Venchi, tasked with reimagining the online shopping experience for the US and European markets. Their mission: redesign product merchandising and website navigation to drive revenue by improving product discoverability, increasing conversion rates, and raising average order value. To achieve this, teams studied luxury food ecommerce best practices, analyzed Venchi’s site data to identify customer preferences, and benchmarked its digital presence against leading chocolate competitors. Their proposals combined creative merchandising concepts with technical feasibility, ensuring each recommendation aligned with Venchi’s premium positioning and could be effectively implemented across both markets.

Tasked by CMA CGM, a group of Albert School students optimized maritime routes to reduce costs and carbon footprint while maintaining high service levels. They analyzed graph connectivity and proposed routes that avoid high-risk zones, taking into account security, regulatory, and commercial considerations. This strategic input helped CMA CGM enhance efficiency and sustainability. Through this project, students gained practical experience in maritime logistics and optimization.

Students from Albert School undertook a Business Deep Dive with Nestlé, devising an AI-driven virtual assistant to streamline administrative tasks for field sales teams. This innovation helped Nestlé's operational efficiency while providing students with practical experience in AI integration and real-world business problem-solving. The project bridged classroom learning with professional application, fostering invaluable skills for the students' future careers.