AI Solutions
Demand Forecasting
Unified, probabilistic, real-time decision forecasting & decision optimization
Unified, probabilistic, real-time decision forecasting & decision optimization
The Demand forecasting is the foundation for almost every inventory, production, and fulfillment decision.
When the forecast is wrong or incomplete, every downstream decision is compromised. Inventory builds up in the wrong places. Service levels miss targets. Production plans become unstable. Teams rely on manual overrides and heuristics to compensate.
The Uncomfortable Truth is most forecasting systems used by manufacturers were designed decades ago and have failed to keep up with how demand actually behaves.
Foundation ForecastingTM combines Rain EncodingTM which organizes real-world event data and proprietary neural network models to deliver fast, decision-ready forecasts across any horizon or level—explicitly modeling uncertainty where traditional approaches break down.
Keystone models consistently outperform legacy methods in environments with intermittent, lumpy, and hard-to-measure demand by 200-300%.
Designed to integrate directly with ERP, S&OP, and WMS systems, Foundation Forecasting™ works alongside existing platforms to align demand, execution, and financial performance—without rip-and-replace.
Industrial manufacturers face sparse demand, long lead times, and discrete order quantities. Traditional forecasts break down precisely where complexity is highest—at the SKU × customer × plant level—driving excess inventory and brittle production plans.
Foundation ForecastingTM models intermittent, periodic demand directly. Multi-horizon, quantile-based forecasts give planners the confidence to shorten production cycles, right-size buffers, and commit capacity with clarity.
Decisions optimized:
• Production lot sizing & frequency
• Safety stock & reorder points (SKU x Plant x Customer)
• Capacity commitment & sequencing
• Inventory positioning across plants and DCs
CPG demand is shaped by promotions, seasonality, and retail ordering behavior—not smooth averages. Fixed-interval forecasts obscure promotion lift, amplify error, and force planners to rely on overrides and heuristics.
Foundation ForecastingTM learns demand across brands, SKUs, retailers, and regions simultaneously. Quantile forecasts capture upside and downside risk so inventory, production, and distribution decisions stay aligned—even during promotions and peak seasons.
Decisions optimized:
• Pre-build & post-promotion inventory planning
• Retail replenishment & allocation
• Production smoothing across peaks
• Distribution & transportation reservations
Life sciences forecasting is dominated by asymmetry: stock outs risk patient access, while overproduction drives write-offs, obsolescence, and regulatory exposure. Point forecasts are insufficient for these trade-offs.
Foundation ForecastingTM produces probabilistic, multi-horizon forecasts optimized for decision risk. From launches to steady-state demand, the system quantifies uncertainty explicitly—supporting capacity planning, inventory policy, and financial forecasting under real constraints.
Decisions optimized:
• Launch ramp & capacity planning
• Inventory targets for expiry-sensitive products
• Network & regional supply allocation
• Financial forecasting (revenue, COGS, working capital)
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.
