Demand Planning | Case Studies

Enterprise Intelligence implementation enabled this client to drive enterprise automation, collaboration, and agility resulting in optimized inventory mix performance

Achieving 99.45% demand forecasting accuracy in just 90 days through implementation of Parker Avery’s open-source advanced analytics demand platform

Achieving $83 million in annual profit improvements through artificial-intelligence-driven retail warranty price optimization

Thorough assessment and selection of a demand forecasting and replenishment solution set that will demonstrably improve forecasting, planning, and reporting capabilities, while providing better support and efficiencies to customer-facing roles

Defining the strategy and developing new processes to support the deployment of new forecasting and replenishment solutions, bolstered by advanced analytics capabilities

Leveraging deep retail industry and solution expertise, while maintaining objectivity to assess and select a solution set that will enable improved and efficient merchandising activities and reduce manual tasks

Program management and industry expertise to support an international retail planning, forecasting, and replenishment transformation and expansion, encompassing multiple merchandising systems, processes, and teams

Achieving 15-point improvements in forecasting accuracy through the implementation of AI-driven SKU and regional-level demand planning capabilities