Welcome to LTP - Advanced Analytics & Business Consultancy
We devise and materialize three key lines of action to put in practice a customer-centric vision:
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.
Using Machine Learning to improve markdown strategies for end-of-life products.
Fulfilling customer expectations requires an effective store operation, capable of replenishing items across offline and online channels, while frequently revising prices and delivering a high-quality service.
By infusing technology in traditional stores and gathering insights from the acquired data, it is possible to improve the experience of offline and online customers.
Avenida da Senhora da Hora, nº 459 4460-422 Senhora da Hora
+351 221 122 774 (National Landline Call) +351 934 000 541 (Mobile Network)
Maleo Mouzinho R. Mouzinho da Silveira 10 1250-167 Lisboa
(+351) 211 452 810 (National Landline Call)