A mid-size e-commerce brand with ~60,000 monthly orders was drowning in support volume. Peak-season ticket queues hit 2,300 per week, but the human team never scaled with it — 12 agents were covering every channel, and first-response time stretched to 18 hours during surges. Customers were waiting a full business day just for an acknowledgement, and abandoned carts correlated visibly with delayed replies.
The breakdown was painfully familiar: ~58% of tickets were repeatable questions — "where is my order", "how do I return this", "what's my discount code", shipping and status queries — that consumed agent time without producing any judgment, relationship, or revenue. Meanwhile the genuinely hard tickets (refund disputes, damaged orders, edge cases) sat behind the easy ones, getting a slower response they didn't deserve.
Support leadership tried hiring, but turnover and training ramp ate the gains. They needed to absorb volume without linearly absorbing headcount. The goal was concrete: cut first-response time at least in half without hurting CSAT.
Novaboro deployed an AI help desk that sat above the existing ticketing system (Zendesk) and was grounded in the brand's real knowledge base, order API, and return policy. It was not a scripted chatbot — it was wired to live data.
Integration took three weeks, including a two-week shadow period where the AI answered nothing but logged how it would have answered, letting the team tune grounding before anything hit customers.
"Before, peak season meant planning for miserable response times and burning out our best agents on 'where is my order.' Now the AI absorbs that whole category and our team only touches real problems. It was the rare automation project that actually made the humans' work better."
After 90 days of live operation, the numbers the leadership had bet on came through, and then some:
The deflection rate wasn't the headline win — the quality of the remaining work was. With the repetitive volume gone, the 12-person team's attrition eased and their resolved-per-hour on complex tickets improved, because they stopped being interrupted by the easy queue. The AI help desk paid for itself inside roughly four months.
Novaboro builds and integrates AI help desks grounded in your data — we'll analyze your actual ticket mix and model the deflection, cost, and response-time impact before you spend a dollar.
Start a ProjectNovaboro is a software development and product intelligence firm that has delivered production systems for more than 40 companies since 2018, with 98% client retention and 24/7 operational support. AI integration — help desks, agents, and automations grounded in your real data — is a core engineering practice.
Case reflects a representative engagement; client anonymized at request. Results shown where the client's instrumented ticketing data confirmed the change. For the underlying economics, see our AI help desk ROI guide.