Consumer Goods

How a strategic blend of machine learning and meticulous data consolidation techniques revolutionized CRM data integrity.

A case study in improving sales forecasting accuracy through analytical planning methods, in a consumer goods company.

The optimization tool greatly reduced the effort and time of the strategic planning team when generating new tax and pricing scenarios.

We transformed trade promotions planning by systematizing the activities and enabling access to data to all key accounts, and by leveraging advanced data analytics to achieve superior plans.

A simulation tool allows to understand the impact of different compensation schemes on the carriers’ yearly operating margins.

By implementing the proposed distribution strategy, opportunities were identified leading to a 7% potential increase in sales volume.

The planning team is now able to rapidly respond to demand fluctuations.

The integrated market model tool radically reduced the time of generating scenarios.

The strategic planning team reduced the average lead time of market planning from one week to a matter of hours

Building a market model that compile all information sources into reliable historical demand data.

The main goal was to help this FMCG company to schedule its orders optimally, fast, and allow what-if analysis.

In this new operational process, the cargos are transported by a sequence of transshipment operations that enable a better utilization of vehicles.