CardCash Deploys AI Tools, Cuts Response Times Over 90%

What happened

Giftify has rolled out AI-powered customer service tools across CardCash, its gift-card marketplace, cutting customer response times by more than 90%, according to reporting from The Manila Times. The deployment marks a significant operational shift for the platform, which connects buyers and sellers of discounted and unused gift cards.

The move signals a broader push by Giftify to automate front-line support functions at CardCash, replacing or augmenting manual response processes with AI-driven handling of customer queries.

Why it matters

For a marketplace business like CardCash, response speed is a direct lever on trust: customers resolving gift-card balance disputes, transaction delays or account issues want fast, reliable answers, and slow support has historically been a known friction point in this category. An order-of-magnitude reduction in response times suggests the AI tools are not simply supplementing human agents but substantially reshaping how query volume is triaged and resolved.

The case also reflects a wider pattern across digital marketplaces and e-commerce platforms, where AI-driven service automation is increasingly positioned as a competitive differentiator rather than a cost-cutting afterthought. Faster resolution can translate into measurable gains in repeat usage and seller/buyer confidence, which matters disproportionately in secondary markets where trust is the primary currency.

By the numbers

• More than 90% reduction in customer response times reported following the AI deployment at CardCash.

The Renascence take

Headline efficiency metrics like a 90% cut in response time are easy to publish and hard to interrogate — the real test is whether resolution quality and customer sentiment moved in step, not just speed.

A response-time statistic on its own tells us nothing about whether customers got the right answer, or whether they simply got an answer faster. Marketplaces live or die on trust at the point of dispute — a refund query, a card balance mismatch — and that is precisely where AI triage can either reassure a customer or quietly frustrate them into churn if escalation paths aren't well designed. Operators chasing similar gains should be publishing resolution and satisfaction metrics alongside speed, and stress-testing the AI layer on exactly the edge cases — fraud flags, disputed balances, expired cards — where speed without judgement does more harm than good.