When you offer EV charging as a service — bundling infrastructure, energy, and management into one package — billing accuracy isn’t a nice-to-have. It’s the foundation of customer trust.

One of our partners in Germany manages charging infrastructure for commercial properties and bills customers for the energy consumed. Every session, every kilowatt-hour, every cent needs to be right.

The challenge: accurate data, painful process

The charging data was never the issue. The reev platform tracks every session in detail — energy consumed, duration, pricing — and makes it all available through the reev API.

The challenge was what happened next. To create invoices in Zoho Books, someone on the team had to export session data, reformat it into a spreadsheet, calculate costs per customer, and manually enter billing records. Every single month.

As the business grew — more locations, more charging stations, more sessions — the process became a bottleneck. Slow, error-prone, and pulling team members away from higher-value work.

The solution: an automated workflow that runs itself

The partner built a workflow on Make – AI Workflow Automation Software & Tools — a visual automation platform that connects applications without writing code. Once a month, it pulls session data from the reev API, applies each customer’s pricing model, and pushes billing records directly into Zoho Books, linked to the correct contact.

No spreadsheets. No copy-paste. No invoicing errors.

Manual billing might work at 10 charging points. At 50+ locations with hundreds of sessions per day, one wrong calculation erodes trust. One missed session means lost revenue. And every hour spent on data entry is an hour not spent growing the business.

Automated billing removes those risks. Every session is captured. Every cost is calculated consistently. Every invoice is accurate — and on time.

What’s remarkable: this was built entirely without a developer. The partner’s operations team designed, tested, and deployed the workflow themselves. That’s the power of combining a well-documented API with modern automation platforms.