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Schedule OptimisationQStory

QStory’s Optimisation product uses AI-driven algorithms to continuously reforecast and refine contact center schedules. It enables proactive planning by identifying quiet periods for offline tasks and reallocating agents during peak demand. This reduces shrinkage and admin effort while improving schedule fit, agent experience, and customer service reliability.

Vendor

Vendor

QStory

Company Website

Company Website

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Product details

Schedule Optimisation

QStory’s Optimisation software is an AI-powered solution designed to continuously refine contact center schedules. It ensures that staffing aligns with real-time demand while proactively identifying opportunities for offline activities such as training and coaching. The system minimizes manual intervention and maximizes operational efficiency by automating reforecasting and schedule adjustments.

Features

  • Continuous Reforecasting: Hundreds of algorithms constantly analyze live data to update schedules.
  • Automated Scheduling: Dynamically allocates agents and offline tasks based on demand fluctuations.
  • Queue Management: Automatically shifts agents between queues to maintain service levels.
  • Schedule Fit Optimization: Enhances alignment between agent availability and customer needs.
  • Real-Time Updates: Instantly rolls out changes while keeping integrated systems synchronized.

Capabilities

  • Shrinkage Reduction: Identifies and utilizes hidden capacity to reduce overstaffing and idle time.
  • Offline Task Planning: Schedules coaching, training, and one-to-ones during quiet periods.
  • Agent Request Automation: Approves agent schedule changes when they don’t impact service delivery.
  • System Integration: Works seamlessly with existing WFM platforms and other enterprise systems.

Benefits

  • Improved Efficiency: Reduces administrative workload and manual approvals.
  • Enhanced Agent Experience: Offers flexibility and development opportunities without compromising service.
  • Cost Savings: Lowers shrinkage and cost-to-serve by optimizing resource use.
  • Service Reliability: Maintains high service levels even during demand spikes or unexpected events.