AI-Powered Scenario Planning: Plan for Supply Chain Uncertainty

What-if Scenarios: Don't Guess the Future, Test It

Reimagine Your Supply Chain with Composable AI

The Atlas Difference

Your greatest supply chain planning advantage may be based on asking and answering a simple, powerful question: “What if?”

The Atlas Digital Supply Chain Twin models your end-to-end supply chain so you can explore in advance the effects of potential events and policy changes on your business. By running advanced simulations, your team can examine multiple what-if scenarios on a supply chain digital twin that mimics the behavior of your real-world network. An end-to-end AI-powered probabilistic planning approach provides a complete model of real-world supply chain probabilities across different scenarios, helping you manage risk and capitalize on uncertainty. Experiment “in the lab” with alternate supply chain configurations, inventory targets, sourcing policies, and other operational levers to foresee the best path, and reach greater resiliency and efficiency across your multi-tier network.

Stay Ahead of Uncertainty with AI-Powered Scenario Modeling

Don't just react to change – anticipate it. The Atlas Planning Platform models your end-to-end supply chain, allowing you to explore the impact of potential events and business shifts before they hit your bottom line.

Simulate Real-World Complexity

Visualize how changes to distribution networks, compressed product life cycles, volatile lead times, market swings, and shifting service expectations ripple through the plan.

John Galt Solutions - Supply Chain Management Software

Run What‑if Experiments

Adjust any parameter (demand spikes, inventory shortages, transport delays, unplanned shutdowns, capacity limits, promotions, etc.) to generate parallel plans.

Quantify Tradeoffs

Test alternative strategies and quickly pinpoint the optimal balance between inventory carrying cost, supply chain resiliency, service level targets, and overall profitability.

Compare Outcomes Side‑by‑Side

View key metrics (service level, inventory turns, cost‑to‑serve, profit impact, etc.) for each scenario to see which assumptions drive the greatest impact to your business.

Real‑time Risk & Opportunity Alerts

Receive automated warning notifications when scenario analysis detects emerging threats (e.g., a looming transportation bottleneck) or early‑stage opportunities (e.g., a demand surge).

AI for Experiment-Driven Planning

Go beyond traditional what-if analysis. Let Atlas’ AI run scenarios across the network, analyzing how changes across policies, strategies, or patterns affect cost, service, and risk.

Not All Supply Chain Scenarios Are Created Equal

This eBook, Not All Supply Chain Scenarios Are Created Equal, provides a comprehensive guide to explore the principles and key benefits of truly advanced scenario planning, to help you elevate your supply chain planning strategies and future-proof your operations.

Download the eBook

Harness the Predictive Power of What-if Scenarios

Stop Assuming, Start Anticipating!

Atlas helps you envision the most likely impacts resulting from factors like changes to distribution networks, compressed product life cycles, uncertain lead times, economic volatility, and evolving customer service challenges.

Your planning team can run countless scenarios by changing parameters based on available decision-support data, then compare the outcomes. Key metrics help your team understand the real-world impacts of elements like demand spikes, inventory shortages, transportation disruptions, unplanned shutdowns, capacity constraints, promotions, and others.

In assessing trade-offs, the team can test alternative approaches and zero in on the most beneficial balance among inventory costs, supply chain resiliency, customer service goals, profitability, and more.

Realtime Reaction to Real-World Change

Creating true supply chain resilience requires real-time analytics and automated reporting. Using a common set of supply chain metrics and KPIs, Atlas shares crucial insights into risks and opportunities with stakeholders across departments, enterprises, regions, and external partners.

To strengthen ongoing operations, Atlas’ scenario planning can trigger “heads up” notifications based on its real-time scenario analyses. The business can sense upcoming opportunities early, prescribe immediate mitigation options for short-term disruptions, while establishing agile, proactive plans across medium and long terms.

Atlas’ What-If facility creates a valuable competitive edge by putting your decision makers a step ahead in innovating, maximizing savings, boosting profits, and improving the customer experience.

Embrace Experiment-Driven Planning

Experiment-driven planning moves beyond basic what-if analysis by modeling the entire supply chain ecosystem. Atlas’ AI enables supply chain teams to simulate thousands of scenarios and assess the impact before executing real-world changes.

AI in experiment-driven planning uses techniques such as Q-learning, Markov Decision Processes and AI Look-back analysis to better understand disruptions and their impact through the chain. AI-powered scenario analysis helps organizations test any levers from network designs and policy changes to sourcing strategies and risk mitigation plans and see how each decision impacts cost, service, and risk.

From "What If" to "Here Is How."

The most critical supply chain decisions are often the ones with the highest stakes and the most variables. Atlas removes the guesswork by providing an end-to-end AI-powered environment to explore these decisions before they are ever implemented.

Use probabilistic planning in Atlas to capture the true range of real-world volatility. Run rapid, parallel experiments on a digital twin, testing everything from lead-time fluctuations to macro-economic swings. Quantify the impact on service levels, inventory, and profitability, embracing a single, cohesive approach. Stop leaving your most important outcomes to chance and start engineering them with Atlas.