Order-to-Cash Benchmarking
Measure Revenue Cycle Performance, Quantify AI Opportunity and Accelerate Cash Flow
Most organizations benchmark order-to-cash performance to identify opportunities to reduce costs, improve collections and strengthen working capital. AI World Class benchmarking goes further by quantifying what becomes possible when the entire revenue cycle is redesigned around artificial intelligence (AI).
The Hackett Group® helps finance leaders benchmark order-to-cash performance against peer organizations, Digital World Class® performers and AI World Class standards to identify performance gaps, quantify AI opportunities, and prioritize investments that accelerate cash realization, improve customer experience, and reduce operating costs.
The order-to-cash performance gap is growing
Order-to-cash sits at the intersection of revenue, cash flow and customer experience. Yet many organizations continue to manage credit, billing, cash application, collections and disputes as disconnected activities. AI World Class organizations are redesigning the entire process, creating measurable advantages in productivity, working capital performance and operating leverage.
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What we benchmark across order-to-cash
End-to-end revenue cycle performance
The Hackett Group® benchmarks the complete order-to-cash process, including:
Quantify your order-to-cash performance gap
Order-to-cash benchmarking provides an objective view of where performance gaps exist today, where AI can create the greatest value and what future-state performance is achievable.
Benchmark against today’s leaders and tomorrow’s possibilities
Digital World Class® benchmarks measure how leading organizations perform today. AI World Class benchmarks quantify future-state performance when work is redesigned around AI-enabled execution.
The AI World Class order-to-cash performance gap1
Process reinvention unlocks the full value of AI. AI transformation is not technology-led. It is process-led. AI World Class organizations focus on the workflows, decisions, and exception paths that drive enterprise performance and prioritize investment where it creates the greatest business value.
Increase straight-through processing and reduce downstream errors and exceptions.
Improve customer onboarding while reducing future collections risk.
Accelerate cash realization and reduce manual effort across the revenue cycle.
Improve customer experience while accelerating collections performance.
Spend more time engaging customers and less time gathering information and preparing for calls.
Improve working capital performance by focusing collection efforts on the accounts that matter most.
1 AI World Class benchmark modeling based on peer median and AI World Class performance scenarios, The Hackett Group®, 2026
Decision-grade benchmarks for high-stakes decisions
As AI investment accelerates, finance leaders need more than generic recommendations. Strategic decisions require validated benchmark data, peer comparability and measurable business outcomes.
How we help finance leaders prioritize AI investments
Quantify the opportunity. Prioritize the investment. Accelerate the return. Using Digital World Class® and AI World Class benchmarks, finance leaders can identify performance gaps, evaluate AI opportunities and build a roadmap for measurable business outcomes.
Trusted by the world’s best companies
The Hackett Group® provides benchmark standards used by many of the world’s highest-performing organizations, including 97% of the Dow Jones Industrial Average, 90% of the Fortune 100, 68% of the DAX 40 and 53% of the FTSE 100. Our Digital World Class® and AI World Class benchmarks help finance leaders identify performance gaps, quantify AI opportunities, and prioritize investments with confidence.
Quantify your order-to-cash opportunity
Benchmark revenue cycle performance. Prioritize AI investment. Accelerate cash flow.
Benchmark your order-to-cash process across credit, billing, cash application, collections and dispute management. Identify the largest gaps to Digital World Class® and AI World Class performance, quantify AI opportunities, and prioritize the initiatives with the greatest potential to improve working capital, reduce costs and accelerate business value.
Frequently asked questions
What is order-to-cash benchmarking?
Order-to-cash benchmarking evaluates order-to-cash performance across the full order-to-cash process – credit, billing, cash application, collections and dispute management – to identify performance gaps and improvement opportunities.
What is the difference between Digital World Class® and AI World Class order-to-cash benchmarks?
Digital World Class® benchmarks measure current performance. AI World Class benchmarks quantify future-state performance achievable through AI-enabled process redesign.
How does order-to-cash benchmarking help build a business case for AI investments?
Order-to-cash benchmarking quantifies performance gaps and identifies where AI can create the greatest value across credit, billing, cash application, collections and dispute management.
What order-to-cash processes should be benchmarked first?
Most organizations begin by assessing credit, billing, cash application, collections and dispute management performance to identify the largest opportunities for improvement.
What are AI opportunities in the order-to-cash process?
AI opportunities include automating credit decisions, improving cash application accuracy, optimizing collections prioritization and reducing disputes to improve overall order-to-cash performance.
How is order-to-cash performance measured?
Order-to-cash performance is measured using metrics such as cycle time, cost-efficiency, cash flow and collections effectiveness to assess how well the order-to-cash process converts revenue into cash.
What is the order-to-cash process?
The order-to-cash process includes all activities from order receipt through payment collection, including credit management, billing, cash application, collections and dispute resolution, directly impacting cash flow and efficiency.
How does order-to-cash benchmarking improve working capital performance?
Order-to-cash benchmarking improves working capital performance by identifying delays, inefficiencies, and gaps that affect cash flow, enabling faster cash realization and stronger liquidity.
What is accounts receivable benchmarking?
Accounts receivable benchmarking evaluates receivables performance, including collections and dispute management, to improve efficiency, reduce outstanding balances, and strengthen cash flow.
How does AI transformation improve the order-to-cash process?
AI transformation improves the order-to-cash process by automating manual activities, improving accuracy, and accelerating decision-making across credit, billing, cash application, and collections.
What are AI opportunities in the order-to-cash process?
AI opportunities include automating credit decisions, improving cash application accuracy, optimizing collections prioritization and reducing disputes to improve overall order-to-cash performance.
What is AI opportunity assessment in finance?
AI opportunity assessment identifies where AI can deliver the highest impact across the order-to-cash process by analyzing performance gaps, inefficiencies, and potential improvements in cost and cash flow.
What is order-to-cash AI?
Order-to-cash AI refers to applying artificial intelligence across the order-to-cash process to improve processing speed, accuracy, and efficiency, resulting in stronger order-to-cash performance and working capital outcomes.
How do AI opportunities improve working capital performance?
AI opportunities improve working capital performance by accelerating collections, reducing errors, optimizing cash application and enabling faster cash conversion across accounts receivable processes.