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Case Study 3

Southeast Asian Super-App Customer Service Transformation

Reducing overtime, attrition and peak-period staffing pressure through a hybrid human + AI customer service operating model.

80%

Overtime Reduction

Lower overtime requirement

30%

Attrition Reduction

Lower employee attrition

25%

Peak Staffing Reduction

Lower staffing requirements during peaks

AI + Human

Operating Model

Hybrid service transformation

Demand Volatility

Promotions and seasonal events created severe spikes in customer service demand.

Workforce Pressure

The organization relied heavily on overtime and temporary staffing to manage spikes.

Automation Opportunity

Over 50% of customer contacts involved repetitive inquiries suitable for automation-led containment.

Southeast Asian Super-App experienced severe demand volatility driven by promotions and seasonal events.

The organization relied heavily on overtime and temporary staffing to manage spikes.

A hybrid human + AI operating model was implemented.

Results included 80% lower overtime and 30% lower attrition.

Leadership needed to solve:

Rising operational costs
High employee burnout
Peak-period staffing challenges
Service inconsistency

Analysis revealed:

Over 50% of customer contacts involved repetitive inquiries.

Examples:

  • Order status
  • Delivery tracking
  • Payment questions
  • Account inquiries

Highly trained agents were handling low-value work.

Demand Segmentation Separated repetitive inquiries from complex interactions.
Conversational Automation Implemented chatbot and voice automation.
Smart Escalation Designed seamless transfer to human agents.
Workforce Optimization Refocused agents on higher-value interactions.

Workforce Benefits

  • 80% reduction in overtime
  • 30% reduction in attrition

Operational Benefits

  • 25% lower staffing requirements during peaks
  • Improved scalability

Customer Benefits

  • Faster response for routine inquiries
Contact Center TransformationRedesigning operations to handle demand spikes with lower operational stress.
Demand SegmentationSeparating repetitive inquiries from complex interactions to improve service efficiency.
Conversational AI StrategyApplying chatbot and voice automation where repetitive demand can be contained effectively.
Smart Escalation DesignEnsuring seamless transfer to human agents for complex or higher-value interactions.
Workforce OptimizationReducing overtime, attrition and peak staffing pressure through operating model redesign.
Scalable Operating Model DesignCreating a service model capable of absorbing volatility without proportional staffing increases.

Automation delivers maximum value when it absorbs operational volatility rather than attempting to replace every human interaction.

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