Staff handled opportunities individually while navigating a busy, error-prone set of conditional steps. The process was time-consuming, difficult to apply consistently, and vulnerable to calculation and classification mistakes.
Selected client work
Automation that holds up after the demo.
These anonymized examples show how Murray Commerce approaches finance work: understand the decision, formalize the rules, make exceptions visible, and leave behind something the business can operate.
Client identities and commercially sensitive details are intentionally omitted.01 / Commission automationClient work, anonymized
From opportunity-by-opportunity processing to a governed commission application.
A mobility products business needed one process to handle more than 30 interconnected rules covering product validation, partner pricing, discounts, shipment combinations, and commission exceptions.
A complete Zoho Creator application using Salesforce exports and maintained price books, with documented pricing and commission rules, automated calculations, validation, and exception routing.
Flags for invalid products, GPO identifiers, partner discounts above permitted thresholds, combined shipments, and other cases requiring attention.
More than 87% of commissions are now calculated automatically, with the remaining cases routed to sales leadership for review. The application saves approximately 30 hours each week while improving payment accuracy, visibility, and confidence in the process.
Zoho CreatorSalesforce dataPricing rulesException handling
Additional examples
Different tools. The same operating discipline.
02Applied AI workflow
A faster first pass for purchase orders and commercial terms.
- Problem
- Lengthy purchase orders and terms and conditions required careful review, while much of the initial identification and comparison work was repetitive.
- Build
- An AI-assisted first-pass tool that organized commercial terms, surfaced potential issues, and produced a structured review while preserving human approval.
- Outcome
- A faster, more consistent initial review that gave the team more time to focus on the terms and risks requiring judgment.
- Applied AI
- PO review
- Human controls
03Pricing & profitability
A product-level pricing model built for real cost and fulfillment scenarios.
- Problem
- Pricing decisions had to account for product costs, tariffs, freight, port charges, return allowances, warehouse labour, and parcel fulfillment across a broad catalog.
- Build
- A master pricing model that centralized cost inputs and calculated profit per unit, margins, price-to-cost ratios, MAP and MSRP comparisons, discounts, and fulfillment scenarios at the product level.
- Outcome
- A repeatable way to test price points, compare fulfillment environments, and identify products requiring pricing or cost review.
- Excel
- Scenario modeling
- Profitability analysis
Founder experience
Corporate-scale systems work, applied with a practical finance lens.
These examples were completed by Chris in corporate finance roles and are shown separately from Murray Commerce client engagements.
A repeatable EPM data-load model across four operating divisions.
Built standardized P&L and balance-sheet templates for loading budget and forecast data across four operating divisions. The model established a consistent reporting structure across dimensions including brand, program, product, department, and currency.
- EPM reporting
- Four divisions
- Multi-dimensional reporting
Thousands of accounts mapped for automated actuals.
Led a cross-functional ERP Readiness initiative to configure the flow of actuals from a redesigned ERP structure into the new EPM system. Built a VBA-based tool that parsed account metadata and mapped thousands of accounts across seven reporting dimensions, enabling actuals to be reported at the same program, product, and intercompany granularity as budgets and forecasts.
- ERP Readiness
- Seven dimensions
- Actuals integration
Advanced sales and forecast reporting across 15 brands.
Redesigned and automated complex sales and forecast reporting across 15 brands, multiple entities, and currencies. The new reporting infrastructure applied consistent business definitions, connected detailed customer activity with sales goals, and replaced fragmented manual reporting with reliable monthly outputs.
- 15 brands
- Multi-entity reporting
- Sales & forecasting