Welcome to LTP - Advanced Analytics & Business Consultancy
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.
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.
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.
A simulation tool allows to understand the impact of different compensation schemes on the carriers’ yearly operating margins.
By bridging the gap between technical and business expertise was possible to adapt the new forecasting tool.
An interactive app makes it possible to study the performance of future stores.
Consumer goods companies have to navigate through a rather heterogeneous.
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.
It was possible to increase the overall efficiency of the supply chain through a reduction on stock coverage.
Billing is often a critical pain point of the customer journey in telcos and utilities.
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.
A hybrid approach combining business sense with analytical expertise provides the company with the vision to disrupt its business model and be prepared for the new era of supply chain 4.0.
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 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.
Development of a system that dynamically estimates the reliability of different wind turbine generator.
Analytical-driven processes for assortment and space management.
Through a mathematical programming based approach, we delivered a continued service that guides the overall supply chain planning with an integrated perspective.
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.
In this new operational process, the cargos are transported by a sequence of transshipment operations that enable a better utilization of vehicles.
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 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.
Companies were forced to rethink their existing omnichannel strategies and shift operations to deal with online shopping behavior.
Moving products around have become increasingly expensive, and the margin for supply chain and inventory management errors has fallen to near zero.
A data-driven approach is the way to optimize inventory policies, quantities, and order schedules while minimizing stocks and maximizing sales.
