In modern ecommerce, customer support transformation is no longer an operational function but a core driver of customer experience, retention, and revenue growth.
A rapidly expanding multi-store ecommerce fragrance brand operating across the GCC, Europe, and the United States was managing more than 400 daily customer inquiries across WhatsApp, email, and live chat.
Support operations across nine Shopify Plus storefronts created operational bottlenecks and limited scalability.
During high-demand periods such as Ramadan and Eid, response delays exceeded 18+ hours, impacting customer satisfaction and retention.
The objective was to build an AI powered support infrastructure capable of:
The final solution combined AI automation, Shopify integrations, HubSpot CRM, omnichannel communication, and real-time support intelligence.
Nearly 65 percent of inbound support volume consisted of repetitive order related questions.
Expansion across multiple Shopify Plus stores created disconnected workflows and customer visibility gaps.
Most support requests included:
Traditional routing methods created inaccuracies because of:
The brand required consistent support experiences across English and Arabic audiences.
All support requests were centralized into one operational layer.
The solution included:
Each interaction automatically:
A Shopify order ID prefix mapping system enabled:
HubSpot CRM implemented intelligent escalation rules.
A custom support dashboard provided:
By implementing an AI-powered omnichannel support architecture, the business transformed fragmented support operations into a scalable customer experience engine.
The result delivered faster responses, improved satisfaction, and sustainable support growth across global storefronts.
Amwhiz helps ecommerce brands build scalable customer support systems including:
Email: sales@amwhiz.com
Phone: +91 91500 65500