John Galt Solutions enhanced explainable AI capabilities in its Atlas Planning Platform. By leveraging Generative AI (GenAI) to provide transparency and context, Atlas empowers supply chain organizations to understand, trust, and act on AI-driven insights with speed and confidence.
“At John Galt Solutions, we’re focused on demystifying AI so that it is intuitive, transparent, and empowering,” says Matt Hoffman, VP, product and industry solutions at John Galt Solutions. “With our further developments in explainable AI, Atlas delivers powerful recommendations while also providing the context behind them. This builds trust, accelerates adoption, and allows planners to make confident decisions that add significant value.”
Key takeaways:
· The latest enhancements combined advanced analytics with explainable AI (xAI) to democratize access to insights and accelerate decision-making.
· Multi-Echelon Inventory Optimization (MEIO) helps companies balance inventory across multi-node networks to free up working capital while simultaneously improving service levels.
· Galt Intelligence – Atlas’ GenAI assistant – makes MEIO highly approachable, understandable and actionable. Atlas’ intuitive, conversational interface transforms confusing stacks of data by explaining where and why inventory changes are recommended, identifying risk-pooling opportunities, and highlighting the value delivered. This enables planners to trust and act on optimization results while being fully in control of the process.
· Ensemble forecasting brings together multiple models to identify the best possible prediction. While highly effective, the process can leave planners questioning why certain forecasts are prioritized over others, especially when models show different peaks and valleys.
· Atlas solves this challenge by applying GenAI explainability to reveal the logic behind ensemble outcomes, clarifying why particular patterns, trends, or models were selected and how the combined forecast improves accuracy. This clarity ensures that planners understand the forecast’s elements and trade-offs to have the confidence to act quickly.
