Instead of relying solely on sales historical data, we use multivariate analysis to uncover more intricate relationships.

Each indicator is defined as a function of the others in order to see how they interact.

This way, instead of treating each indicator's impact separately, our models capture interactions between them and their influence on your sales.

By using Lasso and other regularisation techniques through cross-validation, we ensure that only the relevant indicators are represented, delivering the most accurate results.

For companies that rely on qualitative forecasting methods or planning tools that only take historical data into consideration, biases can impact forecast accuracy negatively.

To meet that challenge, Indicio runs advanced statistical models,
unaffected by subjectivity.

All the models are then weighted based on their performance, ultimately increasing forecast accuracy. 

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We've made it easy to conduct a historical accuracy evaluation.

This includes backtesting and evaluating model performance, Indicio creates previous forecasts that are compared against actual outcome.