MARGIN INTELLIGENCE
ILLUSTRATIVE MARGIN BRIDGE
31.8%
−1.2
−0.6
−0.4
29.6%
Expected margin → loss drivers → actual margin
Most companies can see overall gross margin. The harder question is why it changed.
What changed?
Why did it change?
Where is the money?
What should we do next?
Purchasing, pricing, sales, ERP, accounting, and operating data often live in different systems. Marginuity connects those economics into one management view.
Two focused diagnostics.
FOR IMPORTERS & DISTRIBUTORS
Landed Margin Diagnostic
Supplier Cost → Freight → Duty / Tariff → FX → Customer Price → Realized Margin
Identify where changes in landed cost were fully recovered, partially recovered, absorbed, or over-recovered.
• Landed-cost-to-margin bridge
• Customer / SKU recovery analysis
• Margin leakage by customer, SKU, supplier, and cost driver
• Ranked financial opportunities
• Pricing and sourcing actions
FOR MANUFACTURERS
Actual Margin Recovery Diagnostic
Quote / Standard → Material → Labor → Overhead → Freight → Realized Price → Actual Margin
Identify why customer, product, or job profitability finished differently from what was originally expected.
• Quote-to-actual margin bridge
• Customer / product / job profitability
• Material, labor, freight, scrap, pricing, and mix variance
• Ranked financial opportunities
• Quoting, pricing, costing, and operating actions
How it works
01 EXPORT
Use existing ERP, accounting, purchasing, sales, pricing, and operating data.
02 RECONCILE
Connect expected economics to what actually occurred.
03 DIAGNOSE
Quantify the margin variance and isolate the primary drivers.
04 PRIORITIZE
Focus management attention on the customers, products, jobs, and decisions with the greatest financial impact.
Not another dashboard. A decision framework.
What changed?
Why did it change?
Where is the financial opportunity?
What should management do next?
The objective is not simply to visualize more data. Marginuity is designed to turn fragmented financial and operating information into measurable management actions.
ILLUSTRATIVE EXAMPLE
Example: supplier and tariff costs increased materially on a group of products, but customer pricing recovered only part of the increase.
See what a Marginuity diagnostic could look like.
ILLUSTRATIVE ANALYSIS USING SYNTHETIC DATA. NOT CLIENT RESULTS.
Expected-to-actual waterfall
Margin bridge / recovery analysis
Customer / SKU heatmap
Recovery opportunity concentration
Job / product margin analysis
Ranked opportunity table
Built for companies where complexity has outgrown profitability visibility.
Importers & Distributors
Recurring international sourcing · meaningful freight, duty, tariff, or FX exposure · many SKUs · customer-specific pricing or discounting · limited landed-margin visibility
Manufacturers
Custom quoting or customer-specific pricing · material and labor complexity · multiple products, jobs, or processes · quoted or standard costing · limited quote-to-actual margin visibility
Finance expertise applied to operational economics.
AZFAR SHAREEF — FOUNDER, MARGINUITY
Marginuity was founded by Azfar Shareef, a finance professional with experience across FP&A, pricing, profitability analysis, forecasting, business partnering, analytics, and finance transformation. Throughout that work, one recurring challenge stood out: companies often possess the data necessary to understand profitability, but the information is fragmented across systems and is not organized around the decisions that ultimately determine margin. Marginuity is being built around that problem — combining finance, analytics, and business judgment to connect expected economics to actual results.
Is there a margin question your current reporting doesn’t answer well?
A short conversation can help determine whether a focused Marginuity diagnostic is relevant.
Schedule a 15-Minute Discussion
NO SOFTWARE IMPLEMENTATION. NO SYSTEM REPLACEMENT.