Sponsored By

AWS Adds ML-Powered Workforce Optimization to Amazon ConnectAWS Adds ML-Powered Workforce Optimization to Amazon Connect

Built-in forecasting, capacity planning, and scheduling features are in preview, with GA later in 2022.

Sheila McGee-Smith

March 22, 2022

3 Min Read
Pasquale DeMaio at Enterprise Connect

During the AWS keynote at Enterprise Connect today, Pasquale DeMaio, general manager for Amazon Connect, announced the newest functionality being for its CCaaS solution, Amazon Connect. Amazon Connect, which debuted at the show just five years ago, will now offer built-in forecasting, capacity planning, and scheduling features. Currently available in preview, the workforce management capabilities will become generally available later in 2022.

 

When I heard the news during a pre-briefing earlier this month, my response was immediate and audible. “Wow. Wow.” Workforce optimization (WFO) has increasingly become a core component of a total contact center solution. It is not surprising that as early as mid-2019, the Amazon Connect team recognized the value customers would derive from a single CCaaS-WEM solution and started a journey to re-imagine WFO.

 

The graphic below answers the simple question of what capabilities forecasting, capacity planning, and scheduling deliver. Contact centers have the challenge to predict and match the number of agents they need to have on hand to respond to queries with the expected flow of interactions from customers (or partners, employees, citizens, patients, etc.). Scheduling is about short-term planning; forecasting and capacity planning address longer-term needs, often related to hiring.

 

Sheila_Image_32222.jpg

Tom Johnston, principal product manager on the Amazon Connect team, has spent the last two-plus years working on the workforce management project. In the pre-briefing, he answered additional questions, including what this new set of Amazon Connect capabilities is called?

 

“We are calling these capabilities forecasting, capacity planning, and scheduling since they are built at the core of Amazon Connect. We are doing this because we believe that they need to be at the heart of everything that contact center managers need to run their organization” Johnston explained.

 

I had the opportunity to speak to Amazon Connect customer Bryan Carey, head of operations & analytics at Traeger, Inc. at AWS re:Invent in November 2021. He told me he is always interested in participating in early trials of new Amazon Connect capabilities. I was not surprised then to see Traeger described as one of the beta customers for Amazon Connect workforce management capabilities.

 

“We have complete visibility to manage our workforce and optimize our contact center across both internal and outsourced partners, all within Amazon Connect,” Carey said in today’s announcement. “The machine-learning (ML) powered forecasting, capacity planning, and scheduling capabilities in Amazon Connect helped us improve our forecasts and staffing accuracies by over 5%. Our agents will now have a more consistent workload and more time for training, all while delighting our end-customers.”

 

Refer to the blog posted by AWS for the details on the new capabilities. The blog also offers several screenshots of the various applications, and how they can be easily invoked and customized by users.

 

What do these new capabilities mean to the CCaaS market? They reinforce the view that CCaaS and WEM are inextricably linked. Some – typically very large companies – will continue to choose best-of-breed WEM portfolios from the category leaders, e.g., NICE, Verint and Calabrio. Most, however, will choose their CCaaS at least partially based on how robust the native WEM portfolio is. DeMaio ended his keynote by reinforcing AWS’s commitment to two of these WEM partners, Verint and Calabrio.

About the Author

Sheila McGee-Smith

Sheila McGee-Smith, who founded McGee-Smith Analytics in 2001, is a leading communications industry analyst and strategic consultant focused on the contact center and enterprise communications markets. She has a proven track record of accomplishment in new product development, competitive assessment, market research, and sales strategies for communications solutions and services.

McGee-Smith Analytics works with companies ranging in size from the Fortune 100 to start-ups, examining the competitive environment for communications products and services. Sheila's expertise includes product assessment, sales force training, and content creation for white papers, eBooks, and webinars. Her professional accomplishments include authoring multi-client market research studies in the areas of contact centers, enterprise telephony, data networking, and the wireless market. She is a frequent speaker at industry conferences, user group and sales meetings, as well as an oft-quoted authority on news and trends in the communications market.

Sheila has spent 30 years in the communications industry, including 12 years as an industry analyst with The Pelorus Group. Early in her career, she held sales management, market research and product management positions at AT&T, Timeplex, and Dun & Bradstreet. Sheila serves as the Contact Center Track Chair for Enterprise Connect.