Overview
Supply Chain & Operational AI Solutions
Predictions and Decision Optimization for Discrete Manufacturing and Pharmaceutical
Predictions and Decision Optimization for Discrete Manufacturing and Pharmaceutical
Built for discrete manufacturers with complex, multi-echelon supply chains, Keystone replaces brittle point forecasts with a decision-ready forecasting foundation optimized for real-world demand variability.
Built on transaction-level data, probabilistic, multi-horizon demand forecasts optimized for intermittent and lumpy SKU × customer demand. Forecasts quantify uncertainty across hierarchies and directly power production planning, order execution, multi-echelon inventory optimization, supply replenishment, and commercial promotion and clearance decisions—reducing waste while protecting service levels and working capital.
These forecasts directly power production planning, order execution, multi-echelon inventory optimization, replenishment, and commercial promotion and clearance decisions, reducing waste while protecting service levels and cash flow.
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Built for CPG and discrete manufacturers with complex, multi-echelon operations, Keystone’s Unified Forecasting System ensures every function operates from the same forecast foundation.
Unified Forecasting transforms forecasting from a fragmented reporting exercise into a shared decision infrastructure—aligning finance, commercial, supply chain, and operations around consistent assumptions, drivers, and outcomes.
Keystone produces single, explainable forecasts that integrate internal demand signals with external market data to deliver consistent top-line views, clear attribution of variance, and reliable long-range outlooks across planning horizons. The result is faster decisions, fewer forecast disputes, and materially improved financial performance.
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Built for pharmaceutical and life sciences enterprises operating in highly regulated, rebate-driven markets, Keystone brings predictive intelligence and automation to gross-to-net management.
Keystone forecasts and monitors downstream financial events at the transaction level—including claims, rebates, chargebacks, and invoice activity—using event-driven prediction and automated exception handling to surface risk early and reduce manual intervention.
By embedding explainable forecasts directly into existing finance workflows and systems, Keystone improves gross-to-net accuracy, reduces revenue leakage, and compresses close cycles. The result is fewer surprises, faster financial operations, and materially better control over financial exposure.
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Traditional forecasting breaks down as complexity scales. Keystone’s demand forecasting system restores accuracy and reduces supply chain waste for modern manufacturers.
Breakthrough science can enable more accurate demand forecasting, helping planners optimize supply chains, unlock working capital, and improve service levels.
AI is a top investment priority, yet many CFOs struggle to measure its value. This article explores why—and outlines new ways to think about AI investment.
Enterprises are at an inflection point. Operational and technology-driven silos hinder performance. Fragmented data, legacy Enterprise Resource Planning systems, and non-scientific decision-making has left businesses struggling to keep pace — case in point we have witnessed a 30% attrition in the Fortune 500 over the past decade.
In global supply chains, demand planners are not able to perform high-grain forecasts across SKUs, markets and seasons. As a result, inventory managers make stocking decisions based on low-fidelity insights. On commercial teams, marketers struggle to understand which promotional, pricing and media decisions will have the greatest impact. In finance, we see FP&A struggle to stitch cross-functional forecast together. Despite their interdependence, the main operating functions of a business remain disconnected.
The AI revolution changes everything. Our mission is to help our customers transform into Deep Enterprises. We define the "Deep Enterprise" as a company that embeds neural network-based AI into the core of it's decision-making infrastructure. This is the natural next step from digital transformation and it promises operational improvement, optimized financial performance and a balance of immediate results and long-term value creation.
If your enterprise is in the automotive, consumer packaged goods, financial services, healthcare & pharmaceuticals, life sciences, manufacturing & industrial goods, hospitality, or telecommunications sectors, contact us to learn more.