Demand forecasting from uploads
Use recent sales activity to generate demand context that supports pricing and planning decisions. NewAxiom currently supports an upload-based workflow focused on product-level demand signals and near-term operating decisions.
What you get
Product-level demand signal
Demand outputs are calculated per product so pricing and planning teams can focus where movement is highest.
Recent-sales-informed context
Demand outputs are informed by recent sales movement and short-term direction, not static assumptions.
Latest-demand output rows
Teams can use the latest demand rows as operational context during pricing reviews, quote decisions, and near-term planning.
Downstream pricing and forecast use
Demand context can feed pricing decisions, quote posture, and short-horizon planning conversations.
When this workflow is useful
Faster signal, lower setup overhead
When teams need a practical demand signal without waiting on a long modeling setup.
Pricing and quote posture
When recent sales movement should inform pricing or quote posture.
Near-term planning context
When near-term planning decisions need better product-level context.
Minimum data needed
Required
A product column and at least one sales date field are required for demand computation.
Recommended
Quantity, line revenue, order id, invoice id, and customer id improve rollups and analysis quality.
Scope
Current output emphasizes demand strength scoring, recent-sales-driven context, and short-term horizon modeling.
Current scope
Today this workflow is upload-based and optimized for near-term demand context. It supports teams that need a practical demand signal to guide pricing and planning decisions.
Need help evaluating the demand workflow?
We can review upload mapping, signal scoring, and how to wire results into pricing actions.