Revenue forecasting
Talk to an expert
Talk to an expert
Esigenza
A system to accurately predict revenues over short and medium-term horizons, by day, product category or shop, both in sectors with fast dynamics (e.g. restaurants) and in e-commerce environments.
Approccio
We developed advanced time series models that combine internal business knowledge with external factors such as seasonality, holidays, weather conditions, sales periods, cultural and sports events.
Risultato
A server-side solution that integrates with restaurants and e-commerce platforms to continuously forecast revenues with high accuracy. It achieves an error margin below 4.5% for 14-day forecasts, providing actionable insights for planning, inventory management and commercial optimization.
Categorie
Type
AI & Data Science
Need
Benefit
Business function
Industry
Fashion & Design, Telco, Media & Entertainment, Utilities, Real estate, Finance, Tourism & Events, Goods Production & Distribution, Retail Distribution
Business Model
Business Size
