We're on a mission to revolutionize how businesses plan their supply chains by embracing uncertainty and making it actionable.
Get in TouchSupply chain professionals have long understood a fundamental truth: the future is uncertain. Demand fluctuates, suppliers are unpredictable, and operations face countless variables. Yet traditional planning systems force businesses to pretend otherwise, demanding single-point forecasts that ignore the messy reality of variability.
This disconnect creates a cascade of problems. Planners spend their days firefighting exceptions rather than preventing them. Companies accumulate excess inventory in some areas while running out of stock in others. Critical decisions about resource allocation are made with incomplete information about risk and tradeoffs.
We founded Pillar AI because we saw an opportunity to bridge this gap. With advances in AI and probabilistic modeling, we can now create planning systems that embrace uncertainty rather than ignore it. Systems that help businesses make better decisions by quantifying risk, evaluating tradeoffs, and optimizing for actual business outcomes rather than arbitrary KPIs.
Traditional systems generate one number for future demand or supply, ignoring the full range of possibilities and their probabilities. This leads to systematic over- or under-preparation.
Without understanding true variability, companies resort to generic safety stock formulas that don't reflect actual risk profiles or business priorities.
Planning systems tell you what happened, not what might happen. By the time issues surface, it's often too late to prevent costly consequences.
Without probabilistic modeling, businesses can't quantify the expected value of different decisions or understand the risk-return tradeoffs they're making.
Pillar AI takes a fundamentally different approach. Instead of generating single-point forecasts, our AI models create forward-looking probability distributions for every element of your supply chain. We model demand variability, supply uncertainty, lead time fluctuations, and operational constraints as probability curves, not fixed numbers.
This probabilistic foundation enables something powerful: Expected Value optimization. Rather than asking "what do we think will happen," we can ask "what decision maximizes our expected return given all possible outcomes?" This shifts planning from guesswork to rigorous decision science.
Our platform continuously learns from your business ecosystem, adapting to changing patterns and incorporating feedback in near real-time. It doesn't just provide recommendations—it quantifies the expected impact of each decision and helps you understand the tradeoffs you're making between service levels, inventory costs, and other objectives.
We don't just add uncertainty bands to point forecasts. Every prediction is a full probability distribution generated by advanced AI models trained on your business data.
Our system evaluates decisions based on their expected financial impact across all scenarios, not arbitrary metrics. You optimize for business outcomes, not KPIs.
We don't overwhelm planners with data. Our platform provides a prioritized punch list of recommended actions, ranked by potential impact on service and inventory risk.
For routine decisions, our system can act autonomously. For complex situations requiring judgment, we provide decision support with clear risk-reward analysis.
Our AI-powered data lake harmonizes information from ERP systems, supply chain tools, and EDI messages into a unified model that learns continuously.
Different products and situations call for different risk profiles. Our system lets you tailor decisions to your specific service and financial objectives for each context.
Let's discuss how probabilistic planning can unlock value in your business.
Schedule a Conversation