NuMetriq’s work focuses on real operational decisions under uncertainty
Projects are typically scoped around a specific business question and delivered with an emphasis on clarity, transparency, and practical use—not technical theater or one-size-fits-all solutions
Inventory Risk Diagnostics for SKU-Heavy Retailers
Small retailers and light manufacturers often struggle with cash tied up in inventory while still experiencing stockouts. NuMetriq has developed inventory risk diagnostics that analyze demand variability, lead times, and existing reorder policies to identify where inventory decisions create hidden cash-flow and service-level risk. The risk is clear guidance on what to reorder, when, and why—without relying on black-box forecasting systems.
Pricing and Margin Analysis Under Demand Uncertainty
Revenue growth can obscure underlying margin problems at the product level. NuMetriq has worked on pricing and margin analyses that connect sales behavior, costs, and pricing decisions to reveal which products actually generate profit and where small adjustments can materially improve cash flow. The emphasis is on decision clarity, not constant repricing or algorithmic optimization.
Data Quality Risk Assessment for Operational Decision-Making
Many costly business decisions rely on data that appears clean but is quietly unreliable. NuMetriq has conducted data quality risk assessments focused on how missing, inconsistent, or outdated information distorts inventory, pricing, and planning decisions. These assessments prioritize decision impact over technical audits, helping organizations understand which data can be trusted—and where process fixes matter most.
Public Sector GIS & Zoning Analytics (Sarpy County, NE)
NuMetriq developed a reproducible GIS analytics pipeline and interactive dashboard using publicly available planning data to analyze parcel-level zoning distributions across jurisdictions of Sarpy County, Nebraska. The project demonstrates transparent spatial joins, validation, and aggregation designed to support exploratory analysis and planning discussions rather than opaque reporting
Note on Confidentiality
Many engagements involve sensitive operational and financial data. As a result, detailed case studies are not always public. Selected examples and demonstrations are available upon request.
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