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order to cash process

Order to Cash: What is order to cash process, why is it hard, how to improve it?


The complex order to cash process begs automation to meet the challenges of timeliness and accuracy. Early automation solutions focused on discrete processes but could not address the entire O2C process. Today, advances in newer technologies like artificial intelligence (AI) and analytics applied to automation make it truly possible to automate the O2C process. An intelligent O2C hyperautomation platform, like Emagia, includes data lake technology to unify finance information across the enterprise and bring in necessary data from multiple external sources to one location, creating one source.

What is meant by “order to cash” or O2C? The order to cash cycle is the essential but complex process through which a company converts credit sales order revenue to cash in hand. Here are a definition and discussion of steps, the importance of the overall process, the challenges, and the advantages now available to companies to address them successfully.

What is Order to Cash (O2C), and Why Is It Important?

Order to Cash” refers to the process of taking orders on credit and then converting those credit sales, that is, accounts receivable, to cash. The order-to-cash process includes discrete but connected functions operating in time. Order to cash or O2C is essentially the conversion of accounts receivable to cash. Revenue is vital, but cash is king.

A series of discrete tasks or actions occur to convert credit sales to cash, each function impacting others in the cycle. The processes vary in difficulty and expertise required, from clerically mundane to analytically profitable.

Summary Steps in the Order to Cash (02C) process

The steps include customer order, credit management, fulfillment, billing/invoicing, payment and collections, cash application and ledger posting. Each step in the process bears on others—notably, the latter stages provide critical information feedback to earlier stages. For example, cash application impacts collections, and collections impact credit decisions and sales order acceptance.
order to cash  process
Credit: The process often starts with a customer order, which initiates the credit process. The credit process involves gathering and analyzing information on the customer to determine their creditworthiness and to set the level of credit to extend to them. The data comes from the customer’s financials and other sources, including credit-rating agencies, trade groups, and internal records if the buyer is an existing customer.

Invoicing: Upon order fulfillment, billing (consumers) or invoicing (businesses) must be done timely and accurately, through whatever delivery mechanism is necessary. These might include EDI, email, regular mail, fax or via portals. Timely invoicing is vital to timely payment. But accuracy is just as important. Invoices with incorrect or missing information slow down the payment process, creating confusion and additional work.

Order to Cash  cycle

Shorten the O2C Cycle with Digital Invoicing & Payments

AR Portfolio Management: The customer processes the invoice and pays it on time according to terms in a perfect world. Then the order-to-cash team applies the payment to the invoice or invoices, closing them out. The closed invoices relieve collections of further action and free sales to take additional orders. But the AR portfolio must be tracked and managed, with accurate and timely information provided to the collections department.

Collections: Collections departments follow up on open invoices to encourage and obtain payment. Collectors must have accurate and timely payment information, or they will waste time collecting on invoices already paid. Collectors employ emails, phone calls, and other tools in communicating with customers to collect money owed.

Cash Application: Cash application is the reconciliation step of matching payments to invoices. Remittance information should accompany payments to indicate which invoice or invoices the customer is paying. Check payments include attached remittance information.

But with the shift to a variety of modern non-check payment formats, remittance information comes in separately, requiring an extra step. Remittance information now must be matched to payment before AR can apply the payment to open invoices and then record it in the company’s general ledger. Cash application comes at the end of the process but feeds back essential information to collections, credit and sales.

O2C Process with AI

Gain Exponential Advantage in Your O2C Process with AI

Because errors happen, payments do not always match invoices. While some customers withhold payment until problems are corrected, many more short-pay invoices, deducting any disputed amount. Deductions necessitate a dispute resolution step. Dispute resolution must be as efficient as possible, especially given that the customer is correct in most cases. But the volume could be overwhelming, and setting tolerances for payments are an effective tool for resolving minor deductions. Deductions can provide critical intelligence pointing to upstream problems, whether in manufacturing, shipping, or invoicing. Once again, information is essential.

Why Order to Cash (O2C) Is Hard

As with most processes, the challenge emerges in the details of each function. In the 21st Century, channels through which enterprises conduct business have increased, as have sources and formats of the information vital to transacting that business. Whether gathering credit information, invoicing, collecting payment, matching remittance information and applying payment, there are many sources, methods and formats involved, adding complexity.

Most large enterprises face a challenge in having multiple ERP or accounting systems, whether due to organization structure or mergers and acquisitions. That makes it very difficult, for example, to have a timely enterprise-wide view of cash position. These multiplicities are further complicated for global enterprises by multiple languages, customs, and currencies.

Within each discrete step in the O2C process across many systems, the team must locate, identify, gather, and input information in a useable format. Management, meanwhile, needs access to the data to gain an accurate understanding of the organization’s cash status and be able to make decisions. And the problem of manually doing this is twofold: manual data collection and processing is very time-consuming, and every step handled manually represents an opportunity to introduce error into the data.

Reimagine Order-to-Cash with Emagia

Reimagine Order-to-Cash with Emagia

Through AI, Analytics and Automation Technology, Success Is Possible

The complex O2C process begs automation to meet the challenges of timeliness and accuracy. Early automation solutions focused on discrete processes but could not address the entire O2C process.

Today, advances in newer technologies like artificial intelligence (AI) and analytics applied to automation make it truly possible to automate the O2C process. Together with big data management, these technologies enable the digital transformation of O2C. AI-driven O2C connects the distinct processes to provide timely, accurate intelligence through reporting and dashboard visualizations, enterprise-wide, regionally or by business unit, and individual customer.

An intelligent O2C hyperautomation platform, like Emagia, includes data lake technology to unify finance information across the enterprise and bring in necessary data from multiple external sources to one location, creating one source. The unified data lake enables the connection and communication of information between the discrete processes.

AI-enhanced robotic process automation relieves teams of manual data gathering, while cognitive data capture extracts information from multiple sources, including unformatted documents and eliminates manual data entry. In addition, machine learning increases the automation level and hones forecasting accuracy.

Transforming Order-to-Cash with Emagia Global Deployment: The ConvaTec GBS Success Story

Transforming Order-to-Cash with Emagia Global Deployment:
The ConvaTec GBS Success Story

Digital assistants interact with and support customers in resolving questions and paying invoices, which provides a positive customer experience, crucial in a very competitive environment.

Analytics interpret massive amounts of data to provide more accurate cash flow forecasting. Descriptive, predictive and prescriptive analytics provide precise forecasting and advice to support cash management, allowing data-driven decision making.

Together these technologies exponentially increase efficiency and relieve human personnel from tedious and repetitive tasks to attend to problem-solving, customer experience and application of insights to finance management.

In the past, though finance executives understood the relationships between sales, credit, AR, collections, deductions and cash application, organizing and managing them as an efficient end-to-end process was beyond the capabilities of technology. At last, that is no longer the case. Companies mapping their O2C flow can finally successfully automate the order to cash process through comprehensive AI- and analytics-empowered solutions like Emagia.

O2C process with AI

Experience Exponential Advantage in
Your O2C process with AI

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