Marketing & Customer Analytics

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

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.

Applying experience design to optimize pricing in the context of highly-volatile demand.

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.

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

Our key deliverable was a thorough diagnosis of marketing practices, from an analytical standpoint.

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

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

Billing is often a critical pain point of the customer journey in telcos and utilities.

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

Through a mathematical programming based approach, we delivered a continued service that guides the overall supply chain planning with an integrated perspective.

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

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.