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Unif Clothing

The client experienced frequent delays in order processing during peak seasons, leading to customer dissatisfaction and negative reviews.

Unif Clothing 

https://www.unifclothing.com/


Client Overview: A popular online fashion retailer catering to customers across Europe and North America.


Challenge: The client experienced frequent delays in order processing during peak seasons, leading to customer dissatisfaction and negative reviews.


Solution Provided by Koslink: Koslink set up a multilingual customer support team and assigned order management specialists to handle high-volume transactions during peak times. Our outsourced staff ensured orders were processed efficiently and customers received timely updates.


Number of Staff Provided: 12 multilingual customer support agents and order processors.


Implementation Process:

  • Preparation: Worked with the client to map out peak-season demands and required roles.

  • Sourcing and Screening: Identified and selected customer support agents fluent in multiple languages.

  • Selection and Hiring: Finalized hires in collaboration with the client.

  • Onboarding: Trained staff on the client’s order management system and customer service protocols.

  • Training: Focused on peak-season workflows and handling escalations.

  • Management: Established daily reporting and regular feedback loops to monitor performance.


Outcome and Results:

  • Customer satisfaction rates improved by 35%.

  • Order processing times were reduced by 50%.

  • Negative reviews dropped significantly during the following peak season.

  • Cost Savings: Outsourcing reduced operational costs by 65% while improving service quality.


Client Testimonial: “Koslink’s team helped us deliver exceptional service during our busiest times. Their dedication and expertise made all the difference.”


Power in Numbers

Customer satisfaction rates improved by 35%.

Order processing times were reduced by 50%.

Cost Savings: Outsourcing reduced operational costs by 65%

Negative reviews dropped significantly during the following peak season.

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