Forecast
Olivia combines historical data and artificial intelligence to offer accurate forecasts and strategic advice. From forecasting for new openings to financial analysis, she helps companies and retailers optimize choices and resources with data-driven tools.
Case study
Olivia worked with Mondadori to develop advanced predictive models, combining internal and external data. The goal was to improve strategic decisions through trend analysis and data-driven opportunity identification.
The project used machine learning and business intelligence to process complex variables, such as historical data, market indicators, and socioeconomic factors. This approach allowed for more accurate forecasts and personalized business strategies.
Thanks to the implemented models, Mondadori was able to reduce uncertainty in decisions, anticipate future scenarios and optimize resources. Data-driven analysis supported a more agile and informed decision-making process, strengthening competitiveness in the publishing market.
Proprietary algorithms are based on database and variable analysis, ensuring reliable forecasts. Integration with external data and collaboration with large companies demonstrate the adaptability of the solution to different business contexts, to support strategic decisions in food, retail, finance and much more.
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Forecasting new openings
Olivia utilizza un algoritmo proprietario, basato su oltre 25.000 locali e più di 100 variabili, per prevedere le performance di nuove aperture e consigliare le location più strategiche.
Consultations
We offer AI-based consulting for restaurants, hospitality and retail. Solutions include sales forecasting, marketing campaign optimization, and customer survey analysis.
Financial Forecasting
Abbiamo sviluppato moduli per la previsione finanziaria (es. trading di asset di nicchia), analizzando asset, età aziendale, round di investimento e altri fattori per stimare il fabbisogno futuro di cassa.