Planning & Forecasting
Planning risk doesn’t show up in forecasts.
It shows up later, in excess inventory, avoidable markdowns, vendor disputes, and margin erosion that can’t be unwound.
Newmine brings planning into the decision layer.
By connecting in-season demand signals, return behavior, and vendor performance, teams gain early visibility into where forecasts are holding, and where underlying economics are already drifting.
The Decisions That Matter
With Newmine, leaders make clear calls on:
Where demand is real, and where early return, cost, or vendor signals indicate forecast risk forming beneath the surface.
When variance reflects temporary noise versus a structural mismatch between plan, product, and execution.
Which inventory, sourcing, or capacity commitments require adjustment before margin exposure hardens.
How in-season signals should reshape forward plans, while change is still possible, not after outcomes are locked.
How leading retailers use Newmine
An online footwear brand uses Newmine to monitor in-season performance across styles, beyond sales alone.
When one style began showing elevated return signals relative to demand, Newmine surfaced the issue early and identified it as a design-related risk rather than a merchandising or pricing miss. The system not only highlighted the problem, but also pointed to the specific product attributes driving returns and recommended escalation to the vendor before future buys were locked.
With that guidance, the team engaged its vendor with clear, data-backed direction and adjusted the shoe design in-season, protecting upcoming inventory commitments and preventing margin erosion from repeating at scale.