End-to-End AI-Powered
Probabilistic Planning
Decode Uncertainty. Use the Power of Probabilities to Drive Supply Chain Agility
Revolutionize Your Supply Chain with End-to-End Probabilistic Planning
The Atlas Planning Platform by John Galt Solutions offers a unique end-to-end probabilistic planning approach, delivering a complete model of real-world supply chain probabilities to transform the way you manage risk and opportunity. Capitalize on uncertainty and variability, make more data-driven decisions, and drive superior outcomes.
Turn Uncertainty Into Opportunity
Go beyond one number plans. Atlas combines probabilistic planning, experimentation, and optimization to help you master risk, capitalize on uncertainty and seize new opportunities.
Probabilistic What-Ifs
Model a range of possible demand and supply outcomes with assigned probabilities to understand how plans perform under uncertainty.
Experiment-Driven Planning
Test different strategies, assumptions, policies, and responses before committing to a decision. Experiment with probabilistic scenarios to find what works best.
AI-Powered Digital Twin
Use AI to evaluate alternatives and model probabilities across the supply chain. Atlas’ digital supply chain continuously learns and reoptimizes as risks and conditions change.
Financial Impact Analysis
Quantify the financial impact of different scenarios and decisions, from inventory and capacity investments to sourcing and network strategies.
Decision-Centric Planning
Shift from predicting what might happen to determine what to do. Evaluate decisions against probabilities, constraints, and goals to make more aligned, data-driven choices.
Your Supply Chain is Ready for a Transformation
Traditional supply chain planning methods often fall short in today’s dynamic environment, treating supply chains in terms of certainty and accuracy. But we’re changing the game. Our end-to-end probabilistic planning approach, powered by AI-driven Q-learning, offers a comprehensive model of real-world supply chain probabilities.
Atlas helps you identify opportunities faster, stay ahead of uncertainty, and assess value across multiple dimensions at every step of the decision-making process. No longer will uncertainty be a barrier; instead, let it become an opportunity for creating value.
Atlas enables experiment-driven planning by combining probabilistic and scenario modeling with goal-seeking optimization.
Test different assumptions, strategies, policies, and responses against a range of possible futures to understand both what could happen, and which decisions are most likely to deliver your goals.
Run controlled experiments across demand, supply, costs, capacity, sourcing, and network decisions. Compare the potential outcomes, quantify the trade-offs, and identify the policies that perform best under different conditions.
Model demand and supply uncertainty with probabilistic inputs built directly into what-if scenarios. Evaluate how plans perform across different conditions and assess the financial impact of potential decisions.
Use playbooks and thresholds to align decisions across planning layers and govern tactical and operational responses.
Model the possibilities. Quantify the impact. Choose the path that delivers the greatest value.
Embrace Decision-Centric Planning
Atlas brings probabilistic planning and goal-seeking optimization together to support decision-centric planning. Rather than anchoring plans to a single forecast or relying on intuition, you can evaluate possible decisions against business goals, constraints, probabilities, and financial outcomes.
Connect strategic, tactical, and operational decisions within a shared model. Atlas helps you make more aligned decisions across the supply chain, balancing service, cost, inventory, risk, resilience, sustainability, and profitability.
Explore how Decision-Centric Planning helps you engineer planning processes with a focus on making the best possible decisions for your business.
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Probabilistic Planning Helps Master Supply Chain’s Unknowns
In supply chain planning, a probabilistic approach that considers a wide range of possibilities is increasingly important amid complexity and changing conditions, to help planners decode uncertainty and make more informed decisions...
Take the Next Step in the Future of
Supply Chain Planning
Join the probabilistic movement and revolutionize the way your business manages uncertainty and variability across your end-to-end supply chain. Schedule some time with one of our experts to learn more.