Resources
Client results and practical writing on demand forecasting, planning and data, from a team that has been forecasting since 1988.
Featured case studies
Kraft Foods: trade promotion forecasting
Kraft Foods partnered with RoadMap Technologies to replace sales-driven overrides with statistical baseline forecasting, econometric promotional lift modeling, and retailer-level profit simulation across its trade planning process.
Multi-account retail · Trade promotionGenentech: oncology and specialty therapy planning
Genentech partnered with RoadMap Technologies to unify short-term operational demand forecasts with long-range strategic supply plans across oncology, neurology, and transplant anti-infective therapy portfolios, eliminating the planning disconnects that drove inventory imbalances and capital misallocation.
0–24 mo. + 3–10 yr. · 3 therapy portfoliosJohnson & Johnson: gross-to-net forecasting and reconciliation
Johnson & Johnson partnered with RoadMap Technologies to unify class-of-trade demand forecasting with Gross-to-Net financial reconciliation, closing the gap between supply chain planning and net revenue realization across its healthcare portfolio.
Retail, hospital, specialty & govt. · GTN reconciliation
Latest articles
Forecasting 1 Million Time Series in Under 8 Minutes on a Single PC with Geneva Forecasting™ Engine
Using RoadMap Technologies' Geneva Forecasting™ Engine API, we batch-forecasted 1 million time series in 7 minutes and 9 seconds at a rate of 2,300 to 2,500 series per second on a single $2,000 desktop PC with no GPU.
Why Pharmaceutical Market Access is Dependent on Risk Sharing and Persistency Modeling
In our case study for an injectable migraine medication, a higher patient persistency curve for patients with a lower co-pay increased drug utilization by 20%, while lowering payor price by 26% and payor total cost by 11%.
Product Life Cycle Curves in the 21st Century
Savvy consumers, preorders, and social media have compressed the classic innovation curve into the initial launch month. Here is a three-step framework for forecasting products with short life cycles.