Decisions,
measured.

Evidence-first analytics, fractional finance leadership, and the software to run on — built for small and mid-size companies.

Financial strategy, and the software to run it.

Financial modeling & forecasting

Driver-based, three-statement models that separate assumptions from calculations — multi-entity consolidation, cash-flow, scenario and sensitivity analysis.

Custom financial applications

When a spreadsheet stops scaling, Empirica builds the app — cloud-deployed, auth-gated dashboards with live scenario toggles and durable storage.

Revenue-recognition software

Engines for deferred revenue, membership amortization, breakage and period locking — reconciled to the general ledger every close.

Systems & data integration

Automated pipelines from QuickBooks Online, Shopify, POS and booking platforms — parsed and reconciled against the model.

AI-enabled workflows

AI compresses the junior-team work — assumption extraction, ledger reconciliation, and drafting model logic. Faster turnarounds, tighter reconciliations.

Fractional CFO advisory

The judgment layer on top of the tooling — budgeting, unit economics, pricing, runway management, and board-ready reporting.

Recent engagements.

A revenue-rec engine for a multi-location membership business.

Consolidated model across studios, with class-package and membership sales amortized over their real usage schedule — breakage, gap periods, locked months.

A live financial dashboard the leadership team logs into.

Replaced a static forecast file with a password-protected web app — CEO dashboard, cash-flow, P&L, surgery-volume drivers, and one-click actuals upload.

Unit-economics forecasting across every sales channel.

A units×price revenue engine spanning wholesale and DTC/retail, wired to Shopify and POS — blended ASP, discounting, gifting, and inventory flow.

Python — pandas, numpy, openpyxl — and Excel.

Streamlit web apps — cloud-deployed, auth-gated, Git-backed persistence.

QuickBooks Online, Shopify, POS & booking-platform exports.

LLM-assisted assumption extraction, reconciliation, and model generation.

A revenue-recognition engine for a multi-location membership business.

Built a consolidated financial model across multiple studio locations, then built the revenue-recognition pipeline underneath it: class-package and membership sales amortize over their real usage schedule, with rules for breakage, gap periods, and locked historical months that can never be silently restated. The engine reconciles sales-tax liability between the booking platform and QuickBooks Online, site-by-site, every quarter.

A live financial dashboard the leadership team logs into.

Replaced the static forecast file with a password-protected, cloud-deployed web application. Leadership gets a CEO dashboard, cash-flow forecast, monthly P&L, surgery-volume drivers, scenario modeling, and an expansion planner — plus a one-click "upload actuals" flow that ingests QuickBooks exports and writes them to durable storage, so nothing is lost between sessions.

Unit-economics forecasting across every sales channel.

Built a units×price revenue engine spanning wholesale and direct-to-consumer/retail channels, wired to Shopify inventory and point-of-sale data. The model tracks blended average selling price, discounting, gifting, and inventory flow — and folds in monthly actuals so the forecast stays honest as the brand scales.

Chandler Clemons, PhD

Data science, fractional CFO, and the software to run it. Insights emerge at the intersection of rigorous empirical method and creative thinking.