Predictive Sales

Models

Background

Accurate sales forecasting is critical to a company’s success: all activities are planned around demand forecasting. The more precise the forecasting, the more efficiently and effectively a company can be managed. Inventory can be reduced, work-schedules improved and customers’ requests more easily satisfied.

The advancements made in computational calculations and in statistical forecasting techniques have provided us with the know-how to find the optimal solution for each company.

What We Offer

Retail-Lab has developed an innovative approach to sales forecasting. Various key points are taken into consideration: the distribution channel, pricing, the brand, promotional pressure intensity, the presence of specific trends and seasonal sales. We can find a solution using multi-level hierarchical models that allow us to obtain reliable forecasts since they incorporate – applying a general methodology- econometric multiple regression techniques, seasonal Arima models and ANOVA methods. Extreme values and outliers are also taken into account and appropriately calibrated.

Expertise

  • Sales Forecasting with Big Data
  • Sales Forecasting through Time Series Data Analysis
  • Programming Economically Efficient Workloads and Purchases

Tools & Methodology

Qualitative Research Interviews and focus group

Qualitative Research Interviews and focus group

Quantitative Research Questionnaires, analysis, models

Quantitative Research Questionnaires, analysis, models

Experiments In the lab and the field

Experiments In the lab and the field