Demand forecasting & demand sensing

Improve planning accuracy by combining machine learning forecasting with real-time demand signals.

Demand planning is increasingly affected by changing customer behavior, promotions, market volatility, channel shifts and supply constraints. upsta helps organizations improve demand forecasts by combining historical sales patterns with real-time demand signals and machine learning models.

This solution helps planning, supply chain, sales and operations teams create more accurate forecasts, detect demand changes earlier and improve inventory planning.

What the solution helps with

Forecast demand at SKU, product, customer, region or channel level

Detect demand shifts earlier using near-real-time signals

Model promotion impact and market behavior

Improve forecast accuracy dashboards and planning workflows

Reduce planning uncertainty and manual forecast adjustments

Support better inventory and replenishment decisions

Key capabilities

SKU-level forecasting

Generate granular forecasts across SKUs, categories, locations, customers, channels or time horizons.

Demand alerts

Detect unusual demand movements, sudden spikes, drops or changes in buying behavior.

Promotion modeling

Estimate and track the impact of promotions, campaigns, price changes or events on demand.

Market and customer behavior sensing

Incorporate external or internal signals that indicate shifts in customer demand or market conditions.

Forecast accuracy dashboards

Monitor forecast accuracy, bias, error trends and performance by SKU, region, product group or planning cycle.

Business outcomes

Higher forecast accuracy

Fewer stockouts

Reduced excess inventory

Better inventory planning

Ready to turn data into intelligent action?

Whether you are modernizing finance, automating O2C, building a supply chain control tower, optimizing logistics or deploying agentic AI, upsta can help you move from fragmented data to measurable business impact.

Let’s build your next analytics advantage.