Netomi Case Studies AI-Driven Customer Service Transformation at Harry Rosen

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	AI-Driven Customer Service Transformation at Harry Rosen Netomi

AI-Driven Customer Service Transformation at Harry Rosen

Netomi

Applicable Functions	Sales & Marketing
Challenge	During the COVID-19 pandemic, Canadian menswear retailer Harry Rosen experienced a significant shift in its business to the digital realm due to lockdowns and changing customer behavior. This transition led to a sharp increase in digital customer service tickets, stretching the customer service department thin. The company initially tried to manage the surge by reallocating in-store associates to digital customer care. However, this approach proved to be insufficient and unsustainable, as the volume of tickets continued to rise, especially during peak seasons like the holiday shopping period. Read More
About Customer	Harry Rosen is a leading Canadian menswear retailer. The company has a significant digital presence, which became even more crucial during the COVID-19 pandemic when lockdowns and changing customer behavior led to a surge in online shopping. As a result, Harry Rosen experienced a sharp increase in digital customer service tickets, putting a strain on its customer service department. The company needed a solution that could handle the increased volume of tickets, particularly during peak shopping seasons, without compromising on the quality of customer service. Read More
Solution	Harry Rosen turned to Netomi's AI, named Hailey, to manage the influx of customer service tickets. Hailey began by assisting agents with suggested replies and actions, and eventually became an integral part of the workforce, interacting directly with customers to resolve tickets on both email and chat platforms. The AI was integrated with Harry Rosen's backend systems, enabling it to effectively handle repetitive customer queries such as order status and cancellations, exchanges, and alterations. Hailey's capabilities were particularly beneficial during busy seasons, as it automated repetitive tickets without any human effort, eliminating the need to hire additional agents to handle the increased ticket volume. This drastically reduced the resolution time on tickets to mere hours, down from several days. Read More Log in to view content
Contents

Applicable Functions

Sales & Marketing

Challenge

During the COVID-19 pandemic, Canadian menswear retailer Harry Rosen experienced a significant shift in its business to the digital realm due to lockdowns and changing customer behavior. This transition led to a sharp increase in digital customer service tickets, stretching the customer service department thin. The company initially tried to manage the surge by reallocating in-store associates to digital customer care. However, this approach proved to be insufficient and unsustainable, as the volume of tickets continued to rise, especially during peak seasons like the holiday shopping period.

About Customer

Harry Rosen is a leading Canadian menswear retailer. The company has a significant digital presence, which became even more crucial during the COVID-19 pandemic when lockdowns and changing customer behavior led to a surge in online shopping. As a result, Harry Rosen experienced a sharp increase in digital customer service tickets, putting a strain on its customer service department. The company needed a solution that could handle the increased volume of tickets, particularly during peak shopping seasons, without compromising on the quality of customer service.

Solution

Harry Rosen turned to Netomi's AI, named Hailey, to manage the influx of customer service tickets. Hailey began by assisting agents with suggested replies and actions, and eventually became an integral part of the workforce, interacting directly with customers to resolve tickets on both email and chat platforms. The AI was integrated with Harry Rosen's backend systems, enabling it to effectively handle repetitive customer queries such as order status and cancellations, exchanges, and alterations. Hailey's capabilities were particularly beneficial during busy seasons, as it automated repetitive tickets without any human effort, eliminating the need to hire additional agents to handle the increased ticket volume. This drastically reduced the resolution time on tickets to mere hours, down from several days.

Impact #1	The implementation of Netomi's AI has had a significant impact on Harry Rosen's customer service operations. The AI has not only helped manage the increased volume of tickets but also improved the efficiency and speed of ticket resolution. This has allowed human agents to focus on more complex tasks, enhancing the overall quality of customer service. Moreover, the AI's ability to handle repetitive queries has reduced the need for additional hires during peak seasons, leading to cost savings. The integration of the AI with the company's backend systems has also streamlined operations, making the process of resolving customer queries more seamless and efficient.

Impact #1

The implementation of Netomi's AI has had a significant impact on Harry Rosen's customer service operations. The AI has not only helped manage the increased volume of tickets but also improved the efficiency and speed of ticket resolution. This has allowed human agents to focus on more complex tasks, enhancing the overall quality of customer service. Moreover, the AI's ability to handle repetitive queries has reduced the need for additional hires during peak seasons, leading to cost savings. The integration of the AI with the company's backend systems has also streamlined operations, making the process of resolving customer queries more seamless and efficient.

Benefit #1	The AI deflects more than 70% of tickets, significantly reducing the workload on human agents.
Benefit #2	The AI performs at 95.63% accuracy, ensuring reliable and accurate responses to customer queries.
Benefit #3	Resolution time on tickets was drastically reduced to mere hours, down from several days.

Benefit #1

The AI deflects more than 70% of tickets, significantly reducing the workload on human agents.

Benefit #2

The AI performs at 95.63% accuracy, ensuring reliable and accurate responses to customer queries.

Benefit #3

Resolution time on tickets was drastically reduced to mere hours, down from several days.

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Overview

AI-Driven Customer Service Transformation at Harry Rosen

Operational Impact

Quantitative Benefit