Giftify’s CardCash Deploys AI-Powered Customer Service Tools to Cut Response Times by More Than 90%
Key Highlights
- ➤Response times cut more than 90% across approximately 5,000 monthly support tickets
- ➤Staffing costs unchanged despite CardCash’s customer-service efficiency improvements
- ➤AI system gathers missing customer information and routes inquiries before agent handling
- ➤CardCash reallocated existing staff coverage to match demand without adding headcount
- ➤Giftify (GIFT) plans continued investment in practical AI applications
Expert Statements
Abe Nojowitz, Vice President of Operations at CardCash
“Together, AI and the operational changes we made have cut our response times by more than 90% without increasing staffing costs.”
Abe Nojowitz, Vice President of Operations at CardCash
“We looked at the entire customer service process and focused on removing the things that slow agents down. AI helps us collect better information before an inquiry reaches the team, while the operational changes make sure the right resources are available when customers need them.”
Ketan Thakker, President and Chief Executive Officer of Giftify, Inc.
“AI is becoming part of how we run this business, and this is one more example of that focus translating into measurable results.”
Ketan Thakker, President and Chief Executive Officer of Giftify, Inc.
“We continue to look for practical ways to apply AI and other technology across CardCash, and we'll keep investing in the tools that make our operations more efficient as we build long-term value for our shareholders.”
Customer service improvements come without adding headcount or increasing staffing costs
SCHAUMBURG, IL, Oct. 01, 2026 (GLOBE NEWSWIRE) -- Giftify, Inc. (NASDAQ: GIFT) (the “Company”), the owner and operator of CardCash.com, Restaurant.com, and Takeout7.com, and a leader in the incentives and rewards industry, today announced that CardCash has cut average customer service response times by more than 90% across a support operation that handles approximately 5,000 tickets per month, without increasing overall staffing costs, through a series of AI-assisted customer service and operational improvements.
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