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Rental Site, Search Footprint and Automatic Quoting

Rental Site, Search Footprint and Automatic Quoting

A launch build for a Singapore reality-capture rental business: a 68-page site engineered for how buyers search, with quoting automated from the enquiry form through to a signable PDF.

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Representative build

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Representative build

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Representative build

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Workflow challenge

Volumet launched with no domain history, no traffic, and a fleet of six scanners that only earn while they are out on rental. Every enquiry arrived as an email a founder had to price by hand.

  • A brand-new domain in a niche where buyers search by device name.

  • Quotes were priced manually, one enquiry at a time.

  • Availability changed weekly, but nothing told a lead whether a unit was free.

The Kelin approach

Kelin Studio built the site on Next.js with a Git-based CMS, then structured the content around real search behaviour: a page per device, head-to-head comparisons against the scanners buyers are already considering, plus industry and service pages. The contact form was wired to a quoting engine driven by a single config file, which decides from live stock status whether a lead receives a confirmed signable quote or a provisional one for internal approval.

Outcome

Volumet went live with a complete search footprint and a quoting loop that runs without the founder touching it. Leads receive a priced, signable PDF minutes after enquiring, and rates and availability are changed in one place.

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Pages shipped at launch

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Devices wired to live quoting

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Minutes from enquiry to quote

Implementation snapshot

Date:

Jul 1, 2026

Client:

Volumet

Industry:

Equipment rental

Services:

SEO architecture, GEO, web development, content design, quote automation, lead routing

Technology stack:

Next.js, React, TypeScript, Vercel, Keystatic, PDF generation, Google Tag Manager, GA4, WhatsApp

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