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Amazon Connect

Amazon Connect Forecasting, Capacity Planning, and Scheduling

Respond to contact center changes faster with AI-powered capacity and workforce management

Overview

Ensure that the right number of agents, with the right skills, are scheduled at the right time. Using AI-powered workforce management capabilities, you can easily translate contact volumes and arrival patterns into optimal staffing requirements. Better optimize internal operations, meet service goals, and improve agent and customer satisfaction.

 

Save time and complexity with a single application

With workforce management capabilities native to Amazon Connect, you can reduce the time and cost needed to build your own solution or integrate with traditional third-party solutions. Contact center supervisors can forecast, plan, and schedule directly in Amazon Connect. Agents can view their shifts, handle contacts, and take time off within the same application.

Screenshot of the Amazon Connect case management dashboard showing details for a windshield damage insurance claim, including customer profile, claim summary, policy information, and an activity feed of inbound calls and actions.

Forecast service workloads with AI

Schedule agents more efficiently by using AI to accurately predict customer service workloads, including contact volume and average handling time. Intraday forecasts allow supervisors to be more responsive by providing rest-of-day contact volume predictions that are updated every 15 minutes.

Screenshot of the Amazon Connect intraday forecast performance dashboard, displaying key contact center metrics such as contact volume, average handle time, average queue answer time, abandonment rate, and effective staffing levels with various data visualizations and filters for performance analysis.

Estimate staffing needs with long term planning

Accurately estimate the optimal number of full- time equivalent (FTE) agents needed to meet your service-level goals with Amazon Connect’s capacity planning. Through what-if analyses, you can continuously refine these targets over time while collaborating with HR, finance, and training teams to facilitate long-term strategic resource planning and reduce operational overhead.

A screenshot of a machine learning-powered capacity planning dashboard showing plan outputs for a contact center. The table includes metrics such as forecasted contact volume, average handling time, required FTEs, forecasted occupancy, shrinkage-adjusted FTE requirements, available FTEs, and calculated gaps and percentages for selected weeks.

Optimize agent schedules

Ensure you have the right number of agents, with the right skills, staffed at the right time to support a variety of customer contacts. Amazon Connect scheduling generates individual agents’ schedules based on their assigned skills, your short-term forecasts, shift patterns, and internal rules and policies. Supervisors can then view and adjust these schedules, before sharing them with the agents through the agent workspace.

Screenshot of the Amazon Connect agent scheduling dashboard showing agent schedules, staffing metrics, and assigned work activities for various teams.

Automate intraday agent request management

Eliminate the need for manual manager approvals by giving your agents the flexibility to choose when they want to work overtime or take time off within predetermined parameters. Using AI, Amazon Connect simplifies real-time schedule readjustments, such as moving or creating additional rest breaks, freeing supervisors to focus on higher impact activities.

Screenshot of an automated intraday agent request management dashboard, displaying a weekly calendar view of work schedules, breaks, meetings, and requests for overtime, VTO, and time off in a contact center environment. Includes request statuses such as approved, pending, declined, and cancelled.

Customer stories

Traeger Grills

Amazon Connect is now giving us a way to consolidate our processes for determining our contact center workload, staffing levels, and agent scheduling. This is incredibly powerful; it dramatically simplifies the current disjointed experiences into a unified platform for our managers and agents. We have complete visibility to manage our workforce and optimize our contact center across both internal and outsourced partners, all within Amazon Connect. The machine learning–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.

Bryan Carey, Head of Operations and Analytics – Traeger Grills
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FAQs

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For pricing information, visit Amazon Connect pricing.

Yes, forecasting, capacity planning, and scheduling is fully compliant with GDPR. Amazon Connect customers can deactivate these capabilities, and data related to forecasting, capacity planning, and scheduling is automatically deleted after 30 days. End customers can reactivate data collection within 30 days and continue its use with previous data intact.