[ NEXT-GEN SUPPLY CHAIN ]

Probabilistic Planning is the Future

Planners live in a world of variability, current planning systems don't. Enable a resilient supply chain for your business powered by cutting-edge AI.

Let's Change That
Traditional Planning

Supply chain planning is broken

Traditional single-point forecasts can't handle real-world complexity causing costly errors and missed opportunities.

Probabilistic Planning

Our Solution

We analyze all possible scenarios and their probabilities—giving you precise risk assessment and optimized decisions.

Enter Pillar AI.

Unlock full visibility. Place Better Bets. Our artificial intelligence unveils the concealed potential in your supply chain data.

Predict forward-looking demand, supply, and inventory odds distributions

We predict variability by creating forward-looking probabilistic distributions of both supply and demand at key decision points.

Quantify, via Expected Value, the potential for value loss

We provide decision guidance by evaluating "bets" placed by planners (including do-nothing) based on Expected Value.

Give planners a punch list, sorted by biggest service & inventory risk

Recommended supply plan actions to mitigate the loss before it happens.

Risk tailoring for your supply chain

Probabilistic planning enables risk tailoring for strategic service and financial decisions.

Intelligent Data Lake

Our AI-powered system creates a unified data model that ingests and harmonizes data from various sources, including ERP systems, supply chain management tools, and EDI messages.

Automated Decision Making

Our platform emphasizes fully automated decision-making for routine supply chain tasks, reducing the need for manual intervention.

Unified Dashboard

We provide a single, comprehensive dashboard for each corporate function, prioritizing tasks based on monetary impact.

Continuous Learning and Improvement

Our AI models continuously learn from changing patterns and user inputs, offering near real-time updates to forecasts and recommendations.

What Our Customers Say

"We have plenty of excess capacity, and yet somehow we go out of stock all the time. Some products have too much inventory, and some have too little. The planning system is not working"
— Global Specialty Chemicals CIO
"The numbers in the planning system don't make any sense, we know they're going to change, but what can we do? We build to the plan."
— Global Consumer Products COO
"25% of my yearly sales in China occurs on one day. But I have to order the raw materials 6 months in advance. There is no process or system to support it. We just make up the demand number by convening a few people, with little sense of tradeoff. It's heavily biased."
— Global Cosmetics Manufacturer SVP Supply Chain

Probabilistic Planning is the future.

Open up new possibilities. Pillar AI generative models make it possible to dynamically adjust plans to maintain service levels.

Demand Distribution

Demand in a given week has a curve of likelihood

Looking backward is easy, but creating robust forward-looking probabilities requires AI

Supply Distribution

And so does supply

Every element of your supply chain is modeled probabilistically providing a comprehensive understanding of underlying risks and potential outcomes.

Inventory Risk

Leading to compounding week-on-week inventory issues

Issues not covered by safety stock, revealing the true complexity of supply chain management.

Bias for Service

Bias for Service

Our AI models are trained on your entire business ecosystem, creating a comprehensive simulation that culminates in an overall business Inventory Imbalance curve.

Bias for Low Inventory

Bias for Low Inventory

We focus on maximizing return on investment rather than adhering to arbitrary KPIs or percentages.

Trim Risk by Margin

Trim Risk by Margin

Our system balances multiple factors and constraints simultaneously, ensuring robust solutions that align with your risk preferences and business objectives.

Meet the Team

Jeff Alpert

Jeff Alpert

Founder & CEO
Aldo Marini

Aldo Marini

Founder & CTO

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