Case study
NextFlow CRM AI CRM for service businesses
Small service businesses lose leads because enquiries land across email, chat and a contact form nobody checks, and quotes go out late or not at all. DayNight Studio built NextFlow to put lead capture, quoting and payments in one inbox.
Visit website
nextflowcrm.com
SaaS · CRM · Client engagement
(01)The problem, in their words
We had leads in Gmail, WhatsApp, Instagram DMs and a contact form nobody checked. My coordinator was rewriting the same follow-up email ten times a week. Quotes went out late or not at all.
Problem described by early beta users during scoping, 2025
(02)What DayNight Studio built
- Full-stack CRM: unified inbox, pipeline kanban, quote builder with line items, Stripe card payments, and AI-drafted replies with human approve-before-send.
- Lead capture via embeddable form, floating chat widget, and branded hosted lead pages, all feeding one conversation view.
- AI layer reads thread context and drafts the next reply; sentiment and conversion likelihood surfaced per lead.
- Marketing site, auth, billing tiers (Lite / Pro / Business), and onboarding shipped in the same engagement.
(03)Stack & delivery
Timeline: 4 weeks. Single studio team: design, engineering and AI integration in one engagement.
Next.js
TypeScript
PostgreSQL
Stripe
OpenAI API
Claude API
Vercel
(04)What changed
3×
More quotes sent per active account (vs. pre-NextFlow spreadsheet workflow, beta cohort n=8)
47 min
Median first-reply time, down from 4+ hours when inbox was split across email and DMs
4 wks
Brief to public launch at nextflowcrm.com
(05)In their words
“The AI draft is the feature that made it shippable, not a chatbot bolted onto someone else's CRM. We finally have one inbox instead of Gmail, WhatsApp and a contact form nobody checked.”