Built Logic

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Quarterly hire fleet review to rates, disposals and replacements

We take off your hands: working out which machines earn their keep, reviewing rates, weighing up what to keep, sell or replace and valuing ex-fleet kit.

You get: use of each asset and depot explained, new rates for your commercial director, keep, sell or replace advice for your managing director and draft sale listings.

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Or check first: Are we ready for AI?

The problem

We keep buying more kit, but I can't tell which machines actually earn their keep.

How the steps join up

It starts when: the quarterly fleet and rate review comes round.

  1. Show why hire fleet sits idle, by asset, category and depot

  2. Review hire rates and discounts against utilisation and market demand

    Your team checks and decides at this step.

  3. Rank hire assets to keep, sell or replace by lifetime margin

    Your team checks and decides at this step.

  4. Model the whole-life cost of vehicles and plant to plan replacements, including electric options

  5. Value old hire machines and draft their sale listings

  6. Track asset finance agreements against the fleet register and plan settlements and replacements

What you end up with: Utilisation is explained by asset, category and depot, rates are reset against demand, each asset gets a keep, sell or replace decision, ex-fleet machines are valued and listed, and finance agreements are planned around disposals.

Who signs it off: Your commercial director approves rates and your managing director approves disposals and capital spend.

What it needs to work

  • Asset-level revenue and cost history
  • Finance agreement details

If those aren’t in place yet, you’ll hear that before anything gets built.

Who it’s for

  • Manufacturers and suppliers

What would this cost for your team?

Answer questions about your company and how this work runs today. You see an indicative estimate of the hours back, what that time is worth and the price when you send your details.

Get a price for this

Or check first: Are we ready for AI?