01
No usage-based pricing
Engineers calculating usage by hand and sending manual invoices.
Manual invoicing, involuntary churn and sales tax exposure
Rebuild your billing on Stripe: subscriptions and usage-based metering, tax calculation, a self-serve customer portal and automatic retries for failed payments.
Symptoms
If several of these sound familiar, the plan below is where we would start.
01
Engineers calculating usage by hand and sending manual invoices.
02
Revenue lost to expired and declined cards without automatic retries.
03
Tax not calculated correctly as you sell into more regions.
Remediation plan
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
Modeling subscription tiers, add-ons and metered usage in Stripe Billing.
02
Reporting consumption events to Stripe's metering API with idempotency keys.
03
A self-serve portal where customers update cards and change plans.
04
Turning on automatic tax calculation and machine-learning-based retry schedules.
Technical checklist
What we check before a change goes to production:
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
Related service
Custom software for Indian SMEs and startups, built around your workflow with an agreed scope, review milestones, clear ownership and documented handover.
Explore Custom softwareQuestions
Your application reports usage events to Stripe's metering API as they happen; Stripe aggregates them and bills customers on their invoice cycle.
A hosted, secure self-serve page where customers manage their subscriptions and payment methods and download past invoices.
Related playbooks
Move multi-step business processes onto Temporal so they resume after crashes and deployments, with compensation for steps that fail downstream.
Find out why a Next.js app is slow — client bundles, hydration, uncached data — fix the biggest causes first, and measure field Core Web Vitals before and after.
Find where your AWS money goes, then cut waste in order of value and risk: right-sizing, spot capacity, storage tiers, data transfer and commitment discounts.
Find the parts of the codebase that slow delivery most, put tests around them, and refactor them while feature work continues.
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.