Client Profile & Challenge
Our client is a $250M national Pallet solutions company.
Challenge:
A one-year analytics implementation with another firm had failed, leaving the client without critical insights into pricing and related actions to impact profitability.
Solution Overview
Messina Group played a pivotal role in developing a real-time cloud enterprise data warehouse (EDW), integrating a custom NetSuite solution to create a robust foundation for machine learning (ML) and predictive modeling. With Messina Group’s expertise, this sophisticated system enabled ML analysis to identify real-time, historical, and predictive pricing elements across various dimensions such as market, customer, supplier, and product. The insights derived were used to generate prescriptive actions for sales and market managers. Additionally, Messina Group designed and implemented a comprehensive change management plan, significantly accelerating tool adoption, actionability, and ROI tracking for the client.
Team Composition:
The engagement was delivered in two phases, each lasting three months. A Solution Architect, Data Architect, and BI Developer from Messina teamed up with a Business Analyst and the Executive team from the client.
Solutions:
Technology Used:
“AFTER” BUSINESS VALUE CREATION
Our client achieved significant value creation with Predictive Pricing, generating over $3 million in new profit in less than a year. This innovation led to improved average purchase costs, sales, and pricing of pallets across all markets. Additionally, the implementation of the Analytics platform became a mission-critical system for the company, fostering a data-driven culture. This shift enabled comprehensive performance measurement, resulting in significant operational and sales improvements across the organization.
