Enterprise Intelligence
Enterprise Intelligence, Parker Avery’s AI-driven, industry-proven demand planning solution, provides significant financial results for retailers and consumer brand companies quickly and cost-effectively.
What is Enterprise Intelligence?
At the heart of Enterprise Intelligence is Parker Avery’s advanced analytics platform, designed exclusively for the retail and consumer goods industries. Using advanced artificial intelligence (AI), sophisticated machine learning (ML) modeling, and reinforcement learning (RL), our solution delivers enterprise-wide, connected demand planning through a unified demand signal. With an open-source architecture, the platform provides a stable and accurate demand signal across hierarchies and time.
“The differentiation that Parker Avery brings to the table is the vast experience they’ve had developing forecasting capabilities over the last 20, 30 years.”
– VP of Analytics and Data Science, US Foods
We firmly believe that technology alone is not the solution to delivering desired capabilities or solving industry challenges. To drive meaningful business results through collaboration across the enterprise, we infuse business process design and change management into every solution implementation. Combining our cutting-edge technology with best-practice-focused process changes and our tailored approach to organizational adoption of new ways of working enhance the “enterprise” and the “intelligence” of our solution.
Enterprise Intelligence Results
Within the first few months of implementing our advanced analytics platform to drive planning and supply chain decisions, Parker Avery clients have realized:
10 PT
forecast accuracy
3 to 4%
revenue growth
10 PT
fill rate improvement
3 to 4%
inventory turns
10%
profit improvement
These benefits continue to improve and are realized through enabling companies to:
Accurately predict future consumer demand
Quickly react
to customer preferences across selling channels
Identify and respond proactively to trends and behaviors
Detect and prioritize actions for near and long-term planning
Enterprise Intelligence Differentiating Factors
Advanced data hygiene processes filter data and improve data quality for superior results with less time spent upfront
Generates a significantly improved demand forecast much quicker than traditional systems
Implementations typically incorporate business process design and change management for better business results
Developed solely for retail and consumer goods by professionals focused on those industries
Improves forecast accuracy by using sophisticated artificial intelligence and machine learning algorithms
Neural network technology combines the best results of short-term demand sensing with long-range forecasting