Dig Insights Agile Volumetric Forecasting provides fast, decision-quality sales forecasts for new products using predictive models grounded in consumer choice data.

What it is:

• Alternative to traditional volumetric forecasting
• Models sales potential using Upsiide Idea Screen choices and diagnostics
• Calibrates results against in-market data for accuracy
• Delivers forecasts in days rather than months

Capabilities:

• Predict unit and revenue potential for innovations
• Estimate source of volume and competitive impact
• Identify optimisation opportunities
• Support early-stage decision making with research-grade data
• Scalable forecasting across multiple concepts

Use cases:

• Prioritising innovation pipelines
• Early-stage concept validation
• Filtering ideas before costly development
• Evidence-based investment decisions
• Rapid innovation assessment