Consultancy

The developed simulation tool allowed testing of different scenarios, plan structures, and indicator weights to quantify the end-to-end costs and gains obtained with the implementation of an incentive plan.

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.

Through an optimization-simulation approach we developed a 10-year roadmap for business expansion.

The project fostered the company’s monitoring culture and ensured effective management of its raw materials inventory.

The adopted methodology allowed the planning team to have a complete view of the network and to obtain efficiency gains.

The delivered methodology and simulation tool allow the retailer’s team to quickly iterate on future adjustments, thus understanding the end-to-end impacts of the proposed changes.

Estimate customers’ preferences for product’s attributes to an effective assortment planning decision-making process.

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 main goals were to increase store traffic and conversion rates.

How to increase overall competition

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

Leading organizations are increasingly using advanced analytics to improve their people management practices.

Developing a prediction-prescription engine capable of increasing the sales volume performed by a call center operation.

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.

The simulator outputs made clear which sectors of the plant were able to accommodate additional volume and which were not.

A comprehensive approach, focused on maximizing the overall efficiency of the factory, while simultaneously assuring the delivery date.

A simulation tool was designed and implemented to draft a prospective budget for each given scenario.

Analytical-driven processes for assortment and space management.

Technological advances have led customers to look for highly flexible, fast and integrated shopping experiences.

We created a recommendation engine capable of identifying the next best offer that maximizes the return of value for each client.

With the overall decrease of stock levels, there was a significant shrinkage and inventory costs reduction.

New policies included the explicit acknowledgment of a dynamic demand variability, the multi-echelon and multi-site nature of the company.

How to minimize transportation and structure costs without jeopardizing customer service level.

The project has ultimately generated a fully customized decision support system.

The new marketing structure resulted in additional visibility over customers’ preferences and the commercial strategy is more aligned with the customers’ needs.

The project demonstrates that digital twins may help to develop risk-free approaches for testing in an agile way, different layouts and scenarios.