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John Galt Solutions introduced Atlas Planning Platform, an end-to-end probabilistic planning approach that provides a comprehensive model of real-world supply chain probabilities.
“With so much uncertainty and variability in today’s business environment, supply chain planning is ready for a transformation,” says Alex Pradhan, global product strategy leader at John Galt Solutions. “The end-to-end probabilistic planning approach we’re bringing to the market with the Atlas Planning Platform empowers companies to assess a full range of probabilities and assumptions and – when business conditions change—to pivot faster and unlock new value by embracing the unknown. This is a game-changer.”
Key takeaways:
- Enhanced by artificial intelligence (AI)-powered Q-learning, this platform allows companies to identify opportunity faster and capitalize on uncertainty; assess value across multiple dimensions; and measure the value of uncertainty in resource utilization and timing, projecting the benefits and risks of each decision as costs or savings.
- This approach embraces the natural ranges of outcomes and unpredictability in critical supply chain elements such as demand, supply, costs, and key areas across the supply chain. The end-to-end probabilistic planning system empowers companies to evaluate the probability and consequences of different future events, enhancing strategic decision-making.
- The Atlas Planning Platform evaluates alternatives using an innovative mathematical approach, leveraging AI to provide a holistic range of probabilities for end-to-end planning. With a digital supply chain twin at its core, Atlas’ model continuously learns and reoptimizes in response to ongoing risks. Companies can adjust and align risk with their organization’s tolerance, goals, and strategies, enabling them to make decisions with greater confidence.
