AIMultiple ResearchAIMultiple Research

Why Should Order Management Be Automated in 2024?

With today’s increasing number of transactions, handling order management processes has become a more significant challenge for businesses. From receiving the order to the delivery, companies need to operate without errors and satisfy their customers with on-time deliveries. As the number of orders and customer expectations are getting higher, companies need to automate these processes with order management systems.

What is order management?

Order management, also called order-to-cash, O2C, quote-to-cash, or Q2C, is the process of monitoring and satisfying sales orders in a business. This requires a continuum of people, systems, and suppliers to create positive customer service.

The process begins when the customer places an order and continues as businesses keep track of the order until it is completed. 

How does order management automation work?

The order management process consists of several steps:

1. Offer preparation

The process begins with a customer showing interest in the product or service. While this is the scope of marketing & sales processes, offer preparation can be considered as the first step in order management because the data in the final offer to the customer is also repeated in the order.

2. Order Placement

The customer submits the order. There are several channels for this with different levels of automation:

  • Fully automated: Self service via the website or app
  • Manual with automation opportunities thanks to advances in AI.
    • In-store: Customer explains the order to the sales rep who fills in the relevant details in the order management system
    • Phone: Contact centers in B2C or directly call the B2B sales rep
    • Email: Email to a sales rep or a general sales address including a sales form or free text explaining the order

The ways to automate each of these channels are listed below:

  • In-store: Physical customer service bots or touch screens help customers order automatically from stores. However, they require both hardware and software investment
  • Phone: Smart IVR systems and voice bots can automate order collection via phone
  • Email: Forms or emails can be auto-processed by deep learning to extract data.

Automation rates can be improved using offer data since the latest offer to a customer includes the relevant details of the order. Customer details, date, and ordered items can be used to identify the relevant offer.

3. Order Information Recording

Data from the order needs to be recorded in the order management system to track the progress of the order and ensure its delivery.

4. Order Fulfillment and Delivery

Order fulfillment is a complex process that involves the company and its suppliers. It may involve:

  • Ordering additional products or services from suppliers to fulfill the order,
  • Manufacturing the products or supplying the services,
  • And necessary logistics for order fulfillment in case of orders involving physical items.

5. Order Entry

  • All orders that are up for payment are reported as cash or accounts receivable in the company’s ERP or accounting software. 
  • The sale is logged in the ledger. Using machine learning and previous records of revenues, relevant accounting entries for the sale can be automatically generated.
  • An invoice is generated and sent to the customer.
  • The payment is also registered when collected.

What are the main challenges with order management?

Filling orders promptly is the primary concern that enforcement operations managers are dealing with today, especially in B2C. With increased adoption of e-commerce, omnichannel, and social media, companies can see sudden spikes in the popularity of their products, making timely deliveries challenging. Processing a higher number of smaller orders (e.g., individual items versus pallets) rapidly and precisely has become a significant challenge today. To tackle this problem, companies are reassessing their order fulfillment processes.

Why should businesses automate their order management processes?

An automated order management system allows businesses to take advantage of the reduction in manual effort and time that is taken to process the order to achieve lower costs and higher productivity levels. Below you can find the main reasons why businesses need to upgrade to automated order management systems.

1. Reduced Errors

1.1. Accurate Order Delivery

By tracking orders in real-time and keeping details in the system, order management tools significantly reduce wrong order deliveries.

1.2. Reduced Errors in Data Collection

Manual order data collection is prone to human errors and can delay order processes significantly. Automated order management tools either prevent (in case of self-service) or reduce (in case of document data extraction) mistyping and duplication errors during data collection processes. 

2. Faster Processes

Automated order management systems provide faster processes and enable companies to handle more tasks in the same amount of time. In a case study by Infosys, Oracle has reduced its sales cycle time by 67% in 9 months.

2.1. Automated Data Capturing

With automated order management tools, businesses can automatically collect order data from all channels like email, phone, or online. It makes order fulfillment quicker and increases performance.

2.2. Handling Repetitive Processes Continuously

As manual order processing is a repetitive and low-skill task, automated systems can handle it without any breaks. Order management tools can enter order information and operate distribution processes continuously.

2.3. Customer Information Retrieval

Businesses can respond to their customers faster and more accurately by automatically extracting their details based on previous experiences. The order management tools can extract customer details like customer habits, purchasing trends, sales, and complaints without needing to go back and extend a service request.

3. Improved Customer Satisfaction

From delivery order, customer satisfaction plays a critical role in businesses. With intelligent order management systems, they can improve their customer satisfaction, which can also increase revenue and customer loyalty. With Cognizant’s order management system, an international food and beverage company upgraded to proactive delivery monitoring and increased its revenue per order by 31.75%.

3.1. On-Time Delivery

Businesses need to deliver correct orders on time (or even better, in advance), in tidy packaging to satisfy their customers. On the other hand, a single wrong order might cause customer loss. By tracking orders in real-time and keeping details in the system, order management tools provide a successful customer experience by delivering orders on time.

3.2. Automated Payment Notifications

The ordering process can be smoothed by storing and automatically retrieving payment data. Besides, notifying the customer in advance of details such as card expiry would be a better step than contacting them after the card has been rejected. With manual handling, bad debts and unpaid orders are harder to track.

4. Scalable Order Management

As companies grow, consumer numbers, orders, and data are growing. Automated order management tools are designed to accommodate this rise, making the transition more manageable for businesses.

For more on automation

If you are curious to learn more about other use cases of automation software in different industries, read:

Find the best order management software for your organization from our data-driven list of vendors.

To gain a more comprehensive overview of workload automation, download our whitepaper on the topic:

Explore Workload Automation

We will help you choose the best one for your business:

Find the Right Vendors
Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
Follow on

Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

To stay up-to-date on B2B tech & accelerate your enterprise:

Follow on

Next to Read


Your email address will not be published. All fields are required.