Import product, cost, and sales data, apply rules at scale, add demand context, and move approved prices into quoting and execution with more control.
Pricing workspace
Product: Sample
Recommended Price: $18.60
25.0%
Guardrail active
+9.4%
14-day trend
$18.60
Within policy range
+29%
($6.68/unit vs $5.18 baseline)
Move from product, cost, and sales inputs to approved pricing and quotes, in a repeatable workflow.
1
Use uploads or connect your data sources to unify catalog, cost, and sales inputs so every pricing decision starts from the same baseline.
Unified Baseline
2
Run the pricing engine to produce initial recommendations at scale, creating a clear starting point for each product and segment.
Unified Baseline
Prices generated
3
Layer in demand signals and forecast context to strengthen pricing outcomes before approval.
Unified Baseline
4
Validate recommendations, confirm policy compliance, and publish approved prices to quotes, exports, data connections, snapshots, and templates.
Review & Approve
Every recommendation is built from cost reality, demand context, catalog rules, and margin safeguards before it reaches review.
1
Starts from current cost, baseline price, and recent price context so the recommendation reflects commercial reality.
2
Uses recent sales movement and forecast direction to show where pricing can be more assertive or more cautious.
3
Applies category logic, margin rules, and pricing structure consistently across the catalog.
4
Flags floor breaches, policy issues, and exceptions before pricing moves forward.
1
Large product catalogs make it difficult to review, update, and validate prices consistently.
2
Category rules create structure at scale, while still leaving room to handle strategic products, bundles, and component-driven exceptions.
3
When cost, demand, and competitive conditions shift, spreadsheet-heavy workflows struggle to keep up.
Keep floor logic, markup rules, and cost-aware guardrails in place across large product catalogs.
Use sales behavior, demand signals, and business rules together instead of relying on one-dimensional price edits.
Move faster with category-level controls while still managing the exceptions that matter.
Standardize pricing reviews and reduce spreadsheet rework across your team.
We're onboarding a small set of distributors, manufacturers, and B2B teams with real pricing complexity. If that fits your business, request access and we'll follow up with next steps for a pilot conversation or walkthrough.
Best fit: large catalogs, recurring pricing updates, margin guardrails, quoting pressure, or spreadsheet-heavy workflows.
As catalogs, costs, and exceptions grow, ad hoc pricing becomes harder to review, harder to explain, and harder to scale. NewAxiom is built to bring structure, visibility, and review control into that process.
As product counts grow, manual updates and spot checks become harder to review consistently.
Frequent changes make static price sheets harder to explain, defend, and keep current.
Category rules help, but teams still need visibility and control over strategic exceptions.
1
Not yet. NewAxiom is in active beta with a focus on refining the underlying pricing engine and integrations.
2
We are prioritizing manufacturers and distributors with real pricing pain and a clear owner for pricing decisions. If that sounds like you, add your email above.
3
We'll review fit, schedule a walkthrough, and discuss your current pricing workflow, data inputs, and pilot goals.
4
Typically product, cost, and sales inputs. We'll help map those into a shared pricing baseline.
