Developed solely for retail and consumer goods, Demand Intelligence addresses challenges specific to those industries such as margin erosion, non-productive inventory, varying forecasts used across functional areas, and poor data quality
Improves forecast accuracy by using sophisticated artificial intelligence and machine learning algorithms to apply the impact of internal demand drivers like price, promotion, and cannibalization with external impacts such as unemployment, customer sentiment, and Covid-19
Utilizes the latest advances in neural network technology to combine the best results of short-term demand sensing with long-range forecasting to provide a centralized demand signal to meet all your forecasting needs
Incorporates advanced data hygiene processes to filter data and improve data quality to get you up and running faster with more accurate forecasts
Provides a significantly improved demand forecast much quicker than traditional systems to use as a single starting point for estimating demand across all functions in the enterprise
Led by former retailers and consumer goods professionals, implementations typically incorporate business process design and change management to ensure new ways of using advanced analytics align with your organization and are embraced by business users
Related Case Studies
Below are a few examples of how Parker Avery clients have realized significant financial improvements while fostering collaboration with our Demand Intelligence platform, advanced analytics, and consulting services. For a full understanding of our firm’s experience, please visit our Case Studies page.