Retail & e-commerce

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

An analytical approach to improve pharmaceutical retail operations, reducing waiting lines, and improving customer satisfaction.

An analytical-driven approach to employee compensation design aimed at reducing voluntary turnover

With the goal of reducing food loss and waste the retailer turn to analytics and partnered with LTP.

The sellout rate increased compared to previous campaigns, without compromising margin targets.

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.

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

Results show that 55% of our recommendations at the family level were accepted by the customer.

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.

An interactive app makes it possible to study the performance of future stores.

The main goals were to increase store traffic and conversion rates.

It was possible to increase the overall efficiency of the supply chain through a reduction on stock coverage.

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

A retail company was looking to boost the results of its direct and targeted campaigns.

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.

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

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

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

The robustness and modularity of the developed methodology has enabled the deployment of a service to periodically revise the Case Pack quantities.

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