Industry · AI support for vending and coffee machines

Stuck coin, jammed bill, no product — fixed by the next user

A vending machine that jams loses you margin every minute. Operators rely on incidental users to report. helpcode.ai turns the QR sticker on the machine into a 2-minute self-service flow.

Hosted in the EU GDPR

Three problems specific to this sector

01

Lost product = lost margin per minute of downtime

Lost product = lost margin per minute of downtime

02

Refund handling is manual and slow

Refund handling is manual and slow

03

Dispatch routes built on outdated machine state

Dispatch routes built on outdated machine state

Typical results — first 90 days

-80%
Refund processing time
40%
On-site visit deflection
+25 pts
Customer satisfaction

Typical workflow

01 Upload. Manuals, schedules, brand documentation — indexed in minutes with chunking tuned for the vertical.

02 Tuning. Your reviewer validates the most-asked questions and the team tunes hybrid retrieval on the first-run false positives.

03 Deploy. Web widget, mobile or voice — whichever channel your customers already use. SSO to your CRM, CSV log export.

04 Iterate. Dashboard surfaces unanswered questions. Add a manual → indexed in 4-8 minutes → live.

Frequently asked questions

How quickly can we go live for vending machines?
It depends. You can be live in minutes — upload a few PDFs and you already get meaningful value. Timelines extend only when you want to connect more of your infrastructure (CRM, ticketing, knowledge base, voice channel, SSO).
How is data isolated between customers?
Per-tenant database + per-tenant retrieval scope. No training on customer data. DPA + sub-processor list public.
Languages supported?
Eight by default — English, German, Italian, French, Spanish, Dutch, Polish, Portuguese. More on request.
Can we integrate with our CRM / ticketing system?
Yes — bi-directional webhook to Salesforce, HubSpot, Zendesk, Freshdesk, Jira Service Management, Intercom, or any HTTP endpoint.