ScenarioAll scenarios

Bloom Store

How Bloom Store automated 87% of its support tickets, without a single complaint about the AI.

This is a worked example scenario. Names, people and figures are illustrative and do not belong to an existing company.

Web shopCustomer service
NL120 employees · 5 web shopsMarch 2026
Automation rate
87%+62pp
Response time
1.4s-98%
CSAT
4.8+0.6
Hours saved
28h/w

Bloom Store runs 5 Shopify web shops with a peak volume of 18,000 support questions per month. After 6 weeks with Conveya, 87% of all tickets were handled autonomously, with no drop in quality.

We expected AI support to feel cold. The opposite happened: our CSAT went up, because people get answers faster.

Laura Mertens · Head of Customer Experience, Bloom Store

The problem: scale without the headache

Bloom's support team of 6 could not keep up with the volume without hiring more people. Order-status questions made up 62% of tickets: repetitive, predictable, but time-consuming. Growing the team meant €180k in extra salary costs per year.

The solution: Conveya + Shopify + PostNL

The agent (Nova) got direct access to Shopify Orders and PostNL track & trace. Questions about delivery times, address changes and returns are now handled fully on their own. When there is doubt, or a complaint about a defect, the agent escalates to the team automatically, with tags, a summary and the transcript.

What the team does now

The support team now focuses on complex work: partnerships, product feedback and tricky cases. Two team members moved up into customer success, and Nova handles the rest of the volume.

Integrations Bloom Store uses

Want numbers like these?

Start free, or book a demo where we show what the agent can do on your data based on your volume, including an ROI projection.

    Bloom Store × Conveya · worked scenario | Conveya