Our Unique Approach to S&OP AI
A2GO uses a 3 step approach to accelerate AI-enablement of S&OP workflows to under 6 months.
We work within our customers' existing S&OP processes and systems to provide the quickest 'time to benefit' and cost effective way to bring the power of AI to our customers.
1. Intelligent Automation
Knowledge workers managing legacy S&OP systems often rely on custom "human algorithms" for complex tasks like production scheduling and demand forecasting. These manual processes, however, are limited by the worker’s capacity to handle extensive data, especially when making routine decisions. Intelligent Automation alleviates this burden by automating these human-based methods, collecting relevant data, and performing necessary calculations to streamline repetitive tasks, empowering employees to make faster, data-driven decisions with the push of a button
2. Intelligent Monitoring
Following automation, S&OP workflows undergo Intelligent Monitoring to assess their impact and effectiveness through key performance indicators (KPIs). This phase helps determine the usability of interfaces, identify any workflow gaps, and reveal areas where AI can further enhance performance. The goal of Intelligent Monitoring is continuous improvement, allowing for iterative refinements in automated processes to better support knowledge workers in the S&OP framework.
3. AI Augmentation
In the final stage, insights gained from automation and monitoring inform the strategic integration of AI tools into S&OP workflows. AI Augmentation enhances decision-making by offering efficiencies, predictive insights, and actionable recommendations, thereby optimizing workflow outcomes. This phased approach supports a data-driven, adaptive strategy that evolves S&OP operations through intelligent augmentation tailored to the organization’s unique needs.