Bright Pattern WFM

We provide AI-driven workforce management solutions to optimize staffing, improve agent productivity, and enhance customer experiences. Our services include accurate forecasting, smart scheduling, real-time monitoring, and AI-driven analytics to ensure seamless operations.

Workforce Management Solutions

We provide advanced Workforce Management (WFM) solutions to help businesses optimize their contact center operations. Our WFM services ensure that the right number of skilled agents are available to meet customer demands efficiently.

Accurate Forecasting

Predict call volumes and customer interactions to optimize staffing levels.

Smart Scheduling

Ensure the right agents are assigned at the right time to maximize efficiency.

Real-Time Monitoring

Track agent performance and customer interactions across all channels.

AI-Driven Analytics

Gain actionable insights for improved decision-making and resource allocation.

Cost Optimization

Reduce labor costs while maintaining high service quality.

Workforce Management

Forecasting

Forecasting is a five-step process to predict interaction volumes, handling times, and staffing needs by entering general information and historical data.

Effective forecasting relies on historical data, which must be validated and normalized to eliminate outliers and ensure accuracy.

Use Historical Data to forecast Volume, AHT & Staffing

Manual override options Available for forecasted volume, AHT, and required staffing

What if Scenarios

Identifies Key Metrics such as required SLA’s, Occupancy, etc required for Desired Scheduling

Creates the Basis for Scheduling

Scheduling

The shift overview screen allows planners to create, optimize, and edit agent schedules, providing insights on staffing needs and agent assignments. 

The mobile app enables agents to check their schedules anytime, view shift details, manage time off requests, and track their approval status.

Automated shift generation

Break optimization

Shift editor to create/edit shifts or record time offs

Intraday

Intraday management involves monitoring real-time data against forecasts, enabling responsive action to unexpected events.

If actions deviate from the forecast, one can trigger a reforecast, adjusting intervals and percentages to recalculate for the rest of the day.

Reforecasting based on actuals

Allows adjustments for extraordinary events and anomalies

Alert management

Real-Time Adherence

The request view allows approvers to manage manual approval requests by searching or filtering and easily approve pending requests. 

Monitor real-time agent adherence by org unit, skill/service, or scheduled activity

Adherence metrics for today/yesterday/this week/this month on group and individual level

Detail comparison of scheduled vs. actual agent activity

Reports and Analytics

By comparing historical data, forecast scenarios, and actual results, one can identify the best-performing forecasting method and adjust assumptions to optimize future predictions. This iterative process helps improve staffing levels, service levels, and overall workforce efficiency.

Validate Data and Identify Exceptions

Normalize Data by Setting thresholds to automatically identify outliers

Identify Special events and Exceptions

Goal: Use Data as Basis for Forecast

Synergy From Our Integrated Platform

ACD + QM + WFM + AI = A Powerful Synergy
  • Intelligent routing: AI analyzes data to determine the optimal agent, considering factors like agent skills, sentiment analysis, and historical performance.
  • Predictive routing: AI can predict call volumes and types, allowing for proactive staffing adjustments and reduced wait times.
  • Natural language processing and AI Virtual Agents (NLP/LLM): AI-powered Virtual Assistants automate routine inquiries
  • Automated quality assessments: AI analyzes Interactions to identify quality issues, such as adherence to scripts, tone of voice, and problem-solving skills.
  • Sentiment analysis: AI can gauge customer satisfaction by analyzing the emotional tone of conversations.
  • Predictive analytics: AI can identify trends in quality metrics and predict areas where training or process improvements are needed.
  • Predictive workforce scheduling: AI can forecast call volumes and agent availability more accurately, leading to optimized staffing levels.
  • Real-time agent performance monitoring: AI can track agent metrics in real time and identify potential issues or opportunities for improvement.
  • Agent attrition prediction: AI can analyze agent data to predict attrition risk and take proactive steps to retain top talent.
  • Built on A Single Platform
  • All Technology Necessary to speed time to Benefit and Customer Value
  • Enhanced customer experience: Improved routing, faster response times, and more personalized interactions
  • Increased operational efficiency: Optimized staffing, reduced costs, and improved agent productivity
  • Data-driven decision-making: AI provides valuable insights into customer behavior, agent performance, and operational effectiveness
  • Scalability: AI can handle increased call volumes and complexity without compromising quality

Contact Center Agent Experience

Mobile app to manage agent’s schedule
Agent preferences and availability for greater scheduling flexibility

Bright Pattern

Delivering the Next Generation Communications Platform

Real-Time Agent Assist

AI-driven guidance for agents during live interactions.

Sentiment Analysis

Detects customer emotions in real time.

Intent Analysis

Identifies customer intent for faster resolution.

LLM

Enhances chatbot and agent responses with AI.

Supervisor Alerts

Notifies supervisors of critical interactions.

Autoscoring

Automatically evaluates agent performance.

Teleprompter

Provides scripted prompts for agents.

Transcription

Converts voice calls to text instantly.

AI Virtual Agent

Automates customer interactions with AI.

Interaction Analytics

Extracts insights from customer conversations.

NLU

Improves AI’s ability to understand language.

Workforce Management

Optimizes agent scheduling and workload.