Delight customers with consistent, high-quality support.
Delight customers with consistent, high-quality support.
10%
in Total Cost Savings
10-15 Hours
Saved monthly for the finance team
Greater Oversight
across entities
10%
in Total Cost Savings
10-15 Hours
Saved monthly for the finance team
Greater Oversight
across entities
"Our AI platform has been a game changer — unifying our entire support ecosystem and giving us real-time visibility across every customer interaction."
Krishna Barbe
Customer Experience Lead @ UrbanEats
"Our AI platform has been a game changer — unifying our entire support ecosystem and giving us real-time visibility across every customer interaction."
Krishna Barbe
Customer Experience Lead @ UrbanEats
Company name
Retail Brand
Industry
Retail
Company size
Mid-Market (300–700 employees)
Pain point
Inconsistent customer support, long response times, and high ticket volume
AI automation solutions used:
AI-Powered Customer Support Automation
About the Company
A fast-growing retail brand with a strong e-commerce presence, offering lifestyle and consumer products. The company focuses on delivering exceptional customer experiences to drive loyalty and long-term growth.
Company name
Retail Brand
Industry
Retail
Company size
Mid-Market (300–700 employees)
Pain point
Inconsistent customer support, long response times, and high ticket volume
AI automation solutions used:
AI-Powered Customer Support Automation
About the Company
A fast-growing retail brand with a strong e-commerce presence, offering lifestyle and consumer products. The company focuses on delivering exceptional customer experiences to drive loyalty and long-term growth.
The problem
Inconsistent Customer Support Impacting Satisfaction
The retail brand struggled to keep up with growing customer inquiries across email, chat, and phone. Customers expected quick answers, but the average response time was more than eight hours.
Nearly half of all queries were simple, repetitive “Where is my order?” (WISMO) requests. These low-value tickets clogged up the support queue, leaving little room for agents to focus on complex or high-priority issues.
Because of slow responses and inconsistent service quality, customer frustration grew. Many customers reported negative experiences, and CSAT dropped to just 68%, well below the industry benchmark.
Because of slow responses and inconsistent service quality, customer frustration grew. Many customers reported negative experiences, and CSAT dropped to just 68%, well below the industry benchmark.
Support agents were overwhelmed, spending most of their time on routine updates instead of delivering personalized, high-quality assistance. This created a cycle of inefficiency—slower resolutions, more escalations, and declining loyalty.
The impact reached beyond customer service. Poor support experiences led to higher churn rates, weaker retention, and a direct hit on revenue growth.
Inconsistent Customer Support Impacting Satisfaction
The retail brand struggled to keep up with growing customer inquiries across email, chat, and phone. Customers expected quick answers, but the average response time was more than eight hours.
Nearly half of all queries were simple, repetitive “Where is my order?” (WISMO) requests. These low-value tickets clogged up the support queue, leaving little room for agents to focus on complex or high-priority issues.
Because of slow responses and inconsistent service quality, customer frustration grew. Many customers reported negative experiences, and CSAT dropped to just 68%, well below the industry benchmark.
Because of slow responses and inconsistent service quality, customer frustration grew. Many customers reported negative experiences, and CSAT dropped to just 68%, well below the industry benchmark.
Support agents were overwhelmed, spending most of their time on routine updates instead of delivering personalized, high-quality assistance. This created a cycle of inefficiency—slower resolutions, more escalations, and declining loyalty.
The impact reached beyond customer service. Poor support experiences led to higher churn rates, weaker retention, and a direct hit on revenue growth.
The solution
AI-Powered Support Automation for Scalable Customer Service
To overcome these challenges, the retail brand adopted an AI automation platform designed to streamline customer support. The solution is integrated directly with their order management system, enabling real-time responses for the most common WISMO requests. Customers could now check order status instantly through chat, email, or WhatsApp, without waiting for a human agent.
Beyond handling repetitive queries, the platform also introduced skill-based routing to ensure complex issues were assigned to the right human agents. This reduced unnecessary escalations and allowed experienced staff to focus on higher-value cases where empathy and expertise were most needed. By combining automation with intelligent escalation, the company achieved a balance between speed and personalized care.
The solution further enhanced efficiency through AI-driven sentiment analysis. Incoming messages were automatically scanned for urgency or frustration, allowing the system to prioritize unhappy customers and ensure faster resolution. This proactive approach prevented customer dissatisfaction from escalating into churn and helped protect the brand’s reputation.
Within weeks, the company also leveraged the platform’s multi-channel support capabilities. Customers could reach out through their preferred channel—email, chat, social media, or messaging apps—and still receive consistent, on-brand replies. The seamless experience not only improved response times but also strengthened customer trust in the brand’s reliability.
By implementing AI automation, the retail brand transformed its support operations. Repetitive work was eliminated, response times dropped dramatically, and agents were freed up to deliver higher-quality, human-centered service. This scalable model created a foundation for sustainable growth, ensuring that customer satisfaction could keep pace with the company’s rapid expansion.
AI-Powered Support Automation for Scalable Customer Service
To overcome these challenges, the retail brand adopted an AI automation platform designed to streamline customer support. The solution is integrated directly with their order management system, enabling real-time responses for the most common WISMO requests. Customers could now check order status instantly through chat, email, or WhatsApp, without waiting for a human agent.
Beyond handling repetitive queries, the platform also introduced skill-based routing to ensure complex issues were assigned to the right human agents. This reduced unnecessary escalations and allowed experienced staff to focus on higher-value cases where empathy and expertise were most needed. By combining automation with intelligent escalation, the company achieved a balance between speed and personalized care.
The solution further enhanced efficiency through AI-driven sentiment analysis. Incoming messages were automatically scanned for urgency or frustration, allowing the system to prioritize unhappy customers and ensure faster resolution. This proactive approach prevented customer dissatisfaction from escalating into churn and helped protect the brand’s reputation.
Within weeks, the company also leveraged the platform’s multi-channel support capabilities. Customers could reach out through their preferred channel—email, chat, social media, or messaging apps—and still receive consistent, on-brand replies. The seamless experience not only improved response times but also strengthened customer trust in the brand’s reliability.
By implementing AI automation, the retail brand transformed its support operations. Repetitive work was eliminated, response times dropped dramatically, and agents were freed up to deliver higher-quality, human-centered service. This scalable model created a foundation for sustainable growth, ensuring that customer satisfaction could keep pace with the company’s rapid expansion.
The results
Higher Satisfaction, Faster Resolutions, and Stronger Growth
Within just six months of adopting AI-powered automation, the retail brand experienced a remarkable turnaround in customer service performance. The most noticeable impact came in customer satisfaction—CSAT scores jumped by 25%, rising from 68% to 85%, moving the company above industry benchmarks and restoring customer trust.
Response times were reduced drastically. What previously took more than eight hours was now resolved in under three hours on average, with routine WISMO inquiries answered instantly through automation. This improvement not only delighted customers but also removed the frustration of long waiting times.
The automation system successfully deflected 40% of repetitive queries, allowing support agents to focus on complex or high-value cases. Freed from the burden of handling the same questions repeatedly, agents became more engaged and effective, which improved both morale and overall service quality.
From an efficiency perspective, agents saved more than 15 hours per week collectively. These hours were reinvested into proactive support, customer relationship building, and upselling opportunities—activities that had a direct positive impact on business growth.
Ultimately, the AI-driven transformation led to improved loyalty and stronger revenue performance. Customers who experienced faster, more reliable service were more likely to return, contributing to a 12% increase in revenue from repeat buyers. The company not only solved its support challenges but also unlocked a scalable model for future growth.
Higher Satisfaction, Faster Resolutions, and Stronger Growth
Within just six months of adopting AI-powered automation, the retail brand experienced a remarkable turnaround in customer service performance. The most noticeable impact came in customer satisfaction—CSAT scores jumped by 25%, rising from 68% to 85%, moving the company above industry benchmarks and restoring customer trust.
Response times were reduced drastically. What previously took more than eight hours was now resolved in under three hours on average, with routine WISMO inquiries answered instantly through automation. This improvement not only delighted customers but also removed the frustration of long waiting times.
The automation system successfully deflected 40% of repetitive queries, allowing support agents to focus on complex or high-value cases. Freed from the burden of handling the same questions repeatedly, agents became more engaged and effective, which improved both morale and overall service quality.
From an efficiency perspective, agents saved more than 15 hours per week collectively. These hours were reinvested into proactive support, customer relationship building, and upselling opportunities—activities that had a direct positive impact on business growth.
Ultimately, the AI-driven transformation led to improved loyalty and stronger revenue performance. Customers who experienced faster, more reliable service were more likely to return, contributing to a 12% increase in revenue from repeat buyers. The company not only solved its support challenges but also unlocked a scalable model for future growth.