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6 Reasons to Use Order-to-Cash Automation in 2021

Webinar - On-Demand

The last 12 months have made it clear: The people, processes and technology that constitute the order-to-cash (O2C) cycle matter a whole lot. And now that many businesses have regained their footing, they are turning their attention to solutions that can help them optimize their O2C performance for the future while fostering a more secure, adaptable and sustainable IT landscape.

In this webinar, we will explore real-world examples and outcomes of applying O2C automation to for consolidate your O2C processes and maximize your SAP® infrastructure. You will learn:
• 6 reasons companies are turning to O2C automation now.
• The biggest challenges/pain points impacting O2C leaders.
• Specific ways O2C automation alleviates these pains.
• How to implement O2C solutions in a remote working environment.

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MEET THE AUTHORS

Mark Anderson Esker
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Mark Andersen joined Esker in September 2011 as a Business Development Manager. For 16 years, Mark consulted with businesses on how to most efficiently output their documents. With Esker, Mark has now “switched teams,” and consults with organizations on how to most effectively manage their complex, ever-changing manual business processes through cloud-based automation solutions and Artificial Intelligence.

Your Roadmap for Moving to SAP S/4 HANA: Aligning Automation Initiatives to Ensure Migration Success

On-Demand Webinar

With a looming deadline for customers to move to SAP S/4HANA and the current business and economic climate being unpredictable, many SAP customers are unsure as to their migration plans and when is the best time to automate their processes. These customers want answers to help them identify and respond to the challenges from both a business and IT perspective that come with a migration to SAP S/4HANA.

In this webinar, learn how order management automation can help bridge gaps in the migration process. Topics covered include:

• Identifying the gaps that you should be looking for that order management automation could fill

• Learning how aligning your order management digital transformation initiative — and automating manual order-entry tasks — can increase the ease and effectiveness of your SAP S/4HANA migration

• Understanding the benefits of automating order management both prior to the SAP S/4HANA migration and post-migration

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The Role of Artificial Intelligence in Automation

An Interview with Aurélien Coq, Product Manager, Esker

By Rizal Ahmed, Chief Content Officer, SAPinsider

Everyone is talking about Artificial Intelligence and Machine Learning, but how specifically can these technologies add value to your automation projects?

Applying AI and ML for Automation: Where Are You on the Spectrum?

Stories and content on Artificial Intelligence are regularly splashed across most business and technology trade publications, but when does hype become reality when It comes to applying AI and ML to generate real results?

It already has for many organizations, finds a recent SAPinsider study. Just under half (44%) of the respondents in our recent “Integrating Process Automation and SAP S/4HANA” report (June 2020) have already started down the path of using Machine Learning and AI to improve business processes. However, 56% are doing nothing or just using basic Robotic Process Automation.

In order to understand this wide disparity and further explore the benefits and use cases of applying artificial Intelligence and machine learning to process automation, SAPInsider sat down with Aurélien Coq, Product Manager, Esker.

Demystifying AI, ML, and RPA and Their Role in Automation

Coq describes AI as simply as a way for the machine to mimic the human mind. “Machine Learning is a subset of AI, and Deep Learning is a subset of machine learning. Machine learning is a machine that can learn by itself without being explicitly programmed,” Coq says.

When it comes to automation AI and ML are typically applied in two distinct ways when it comes to order-to-cash automation. First for document capture and helping to automate the standardization of documents and data. The second use centers more on using intelligence to identify anomalies or areas of improvement. “In this scenario, one example might be setting alerts that can be initiated if certain conditions or thresholds are achieved. For instance., if a quantity entered is unusually high or low. That might be a basic one. A more advanced one could be using a predictive algorithm that senses when a customer’s credit or ability to pay comes into question and then you can flag the order or escalate to a personal communication,” Coq describes.

So what about Robotic Process Automation (RPA)? Is that AI? According to Coq, RPA is more of a steppingstone. RPA originated from software engineering circles where it was developed to automate testing. Because it focuses on simple manual tasks, there are limitations to its application in the business “RPA is good for small simple parts of an end-to-end process but not the entire process. The reason is that RPA does not work well when it comes to visual recognition, leveraging intelligence, or facilitating decision making,” Coq reports.

Reaping the Benefits: 80% Efficiency Improvements Are Possible

Esker has been working with many clients on applying AI to improve business processes. Efficiency and productivity are among the key measures where they are seeing results particularly on the order processing side. “We have been working with a pharmaceutical company that has been able to improve processing time by 80%. They took 3 minutes typically to process an order before and now they are doing it in 33 seconds. They are saving over 190 hours a month for the customer service team and now they can spend time on more strategic initiatives to improve their business,” reports Coq

So how does one get started, and how easy is it to start generating the results that are described above? Well it depends on the path you take. The longer road involves going it on your own. Unless you already have the AI skillsets, data and algorithms in place, many organizations are turning to vendors such as Esker to help them move forward.

Esker has been applying AI solutions to automation for more than a decade, and in that time has been able to build out a significant set of data and trained algorithms that their customers can leverage. According to Coq, data is one of the most important elements of any AI-based project. Without properly cleansed, tested, and labeled data, it doesn’t matter the quality of the algorithm.

Esker like most AI focused vendors has also benefited from being able to tap into many public algorithms that have been developed by technology stalwarts such as Facebook and Google. “We were able to adapt some of Facebook’s facial recognition technology into our document scanning engine,” reports Coq. In that spirit, the AI community has been able to share knowledge to help accelerate innovation.

Speed is the name of the game when it comes to getting these projects up and running quickly Most of Esker’s clients are completing their AI projects within months, not years, says Coq. Esker’s Cloud-based solutions have been an important piece of the puzzle. Customers can just plug their applications into Esker’s solution,

There’s more to it of course, Coq stresses. Most of their AI focused automation projects are completed over the course of two key phases. First, integrating key applications and processes into Esker’s AI engine, which typically takes 2-3 months. The second stage involves another 2-3 months of tuning the engine to the customers data so that the algorithm produces accurate results. The more customers that use the algorithm, the faster this becomes for follow on customers, “The models are getting better with their use. The more we see adoption the later the ramp up time decreases for new customers,” reports Coq.

Esker is not trying to boil the ocean with their AI approach but rather remain focused in what they feel they do best; Order-to-Cash and Procure-to-Pay. “We’re not trying to automate the entire world and be another EDI type technology. We want to help organizations combine human and artificial intelligence to deliver greater value within their customer/supplier relationships,” explains Coq.

What Does This Mean for SAPinsiders?

Whether you’ve already started down the Artificial Intelligence Path or are taking your first steps. Here are some takeaways to guide your exploration of AI and ML in process automation.

  • Build institutional knowledge on AI and RPA in data, skillsets, partners and algorithms. No matter who you are or what role you play, getting smarter on AI is only going to help you and your organization. Expand your knowledge of AI concepts and how they can be applied within your organization. In addition to SAPInsider, Organizations like Esker have plenty of knowledge, case studies, whitepapers, etc. on AI and Machine Learning. Be voracious in feeding your AI appetite.
  • Identify your biggest process problems and potential fit for RPA or ML/AI: Perform a fundamental assessment of your end-to-end processes. Benchmark them against industry standards to see how you measure up. Understand the sources of inefficiency within your business processes and where RPA, AI, or machine learning can add value. Talk to peers at industry conferences or reference customers from your partners to learn how they have applied these technologies for business benefits.
  • Question your current and future partner on their AI and ML capabilities and experiences Vendors have varying level of experiences with applying AI and Machine Learning to specific business instances and industries. Make sure you have the right fit. Newer AI companies may not have had the opportunity to tune their data models and algorithms or work with enough companies to truly test the accuracy and results of what they are doing. Ask for reference customers who have applied their technology to the specific processes you are focused on and who also fit in your industry and company profile to make sure that they can deliver against their promises.
  • Clean up your data and interfaces. AI algorithms are only as good as the data that it uses. You must be able to have clean, labelled data that can be easily passed and integrated with Cloud-based models and algorithms like the ones that Esker relies on. If you need to work on the data, that will impact the length and complexity of your project no matter what vendor you choose or even if you do the project on your own.

ABOUT Esker

Esker is a global provider of automation solutions that support the full procure-to-pay and order-to-cash business processes. Founded in 1985, Esker serves over 6,000 global SaaS customers across more than 50 countries. Esker has more than 700 employees and 14 offices worldwide.

 

 

 



A Roadmap to Success: Align Your Automation Initiatives to Ensure a Smooth Transition to SAP S/4HANA

Webinar

With a looming deadline for customers to move to SAP S/4HANA and the current business and economic climate being unpredictable, many SAP customers are unsure as to their migration plans and when is the best time to automate their processes. These customers want answers to help them identify and respond to the challenges from both a business and IT perspective that come with a migration to SAP S/4HANA. In this webinar, learn how order management automation can help bridge gaps in the migration process. Topics covered include:

  • Identifying the gaps that you should be looking for that order management automation could fill
  • Learning how aligning your order management digital transformation initiative — and automating manual order-entry tasks — can increase the ease and effectiveness of your SAP S/4HANA migration
  • Understanding the benefits of automating order management both prior to the SAP S/4HANA migration and post-migration
Register Now

Order Management Automation: Ensuring a Successful Implementation in Any Environment

On-Demand Webinar

During times of economic uncertainty, few things are more important to a company than ensuring a steady cashflow. However, factors such as reduced revenues, declining profitability, and increased customer insecurity can make that a challenge. Introducing automation to your order management processes can have transformational effects on your cashflow. But how do you get there—and get your company on board?

Join us for a live webinar that addresses the common reluctancies of an automation project (especially for remote workforces) and tips for developing a winning business case. When you attend, you’ll learn how to:

• Gain increased visibility over your entire order flow—regardless of source

• Enhance your bottom line by reducing operational costs & increasing business agility

• Improve customer experience through faster fulfillment, greater transparency and more collaborative self-service tools

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Making a Business Case for AP Automation: 7 Strategies for Convincing Upper Management to Make the Move

Webinar

Wednesday, November 4 at 2:00 PM EDT

Accounts payable (AP) automation helps organizations around the world streamline and automate AP processes, removing manual tasks and providing better visibility and control over important financial data. In the current climate, many businesses facing declining profits and challenges to pay suppliers on time have been forced to modernize their manual AP practices in order to keep operations running and bottom lines strong . But your first task is to convince c-suite executives that automation will help their business.

Register for the webinar to discover seven current issues SAP users are facing, how AP automation can help alleviate those problems, and strategies for crafting a business case for automation that’s sure to get approval from upper management.

Webinar attendees will learn how to highlight executive-focused benefits of automation for businesses, including:

  • Increased staff productivity by freeing more time for higher-value activities
  • Improved vendor relationships by providing self-service tools
  • Flexibility via a cloud-based infrastructure that enables staff to work remotely
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