Dizenly for Logistics & Supply Chain

Logistics buyers think in routes, fleets and peak-season capacity. This playbook raises company size and geography, pulls weight off AI-framing, and times outreach around network expansion and peak-season hiring rather than a generic calendar.

Who you're selling to: VP Operations, Head of Supply Chain, Logistics Director, Director of Procurement. Tone: Operational and cost-driven. The pitch that wins is the one with a number attached to downtime or cost per shipment.

Ideal Customer Profile

This playbook
Roles
VP Operations, Head of Supply Chain, Logistics Director, Director of Procurement, COO
Company size
100–3,000 employees
Maturity
Running an active multi-site or multi-route network - not a single-location operation
Geography
North America, UK, EU - dense freight and distribution corridors

Buying signals

  • New warehouse or distribution hub opening
  • Fleet expansion announced
  • ERP or TMS migration underway
  • Hiring ahead of a peak shipping season

Disqualifiers

  • Single-site operation with no multi-route network
  • Purely last-mile gig platform with no B2B shipper relationship
  • Network currently under active downsizing

How the nine scoring factors get re-tuned

Default weights come straight from the platform's baseline model and total 100. The Logistics tuning keeps the same total and moves points toward whichever factors actually predict a good logistics prospect.

  • Role / decision authority

    Default 20 ptsTuned 18 pts▼ -2

    Operations decisions are often made jointly by a VP and a procurement prospect, softening the role weight slightly.

  • Industry match

    Default 15 ptsTuned 14 pts▼ -1

    Still a strong signal, just marginally less decisive than company footprint in this vertical.

  • Services-to-needs alignment

    Default 15 ptsTuned 13 pts▼ -2

    Slightly less predictive once company size and geography already capture most of the fit signal.

  • Company size fit

    Default 10 ptsTuned 14 pts▲ +4

    Fleet and warehouse footprint tracks buying power closely - bigger networks have bigger operational budgets.

  • Geography match

    Default 10 ptsTuned 16 pts▲ +6

    Route and hub coverage decides relevance outright - a vendor with no presence on their corridor is a non-starter.

  • Technology relevance

    Default 10 ptsTuned 9 pts▼ -1

    TMS/ERP fit still matters, just marginally less than the default weight implies.

  • Outsourcing probability

    Default 10 ptsTuned 8 pts▼ -2

    A modest reduction - logistics outsourcing decisions track network scale more than general propensity.

  • AI / digital transformation fit

    Default 5 ptsTuned 3 pts▼ -2

    Digital maturity varies widely across the sector, so this signal is dialled back.

  • Contact info completeness

    Default 5 ptsTuned 5 pts- no change

    Operational contacts are typically already well documented, so this stays at default.

Default total: 100 pts · Tuned total: 100 pts

The tuned four-day sequence for Logistics

Same four-step structure the platform uses everywhere - reviewed profile, engagement, connection, AI opener - paced and worded for this vertical.

  1. Day 1

    Review profile & network footprint

    Map their routes or hub locations before writing anything specific.

  2. Day 2

    Engage with a network or capacity post

    React to an expansion or peak-season announcement, not a general company update.

  3. Day 3

    Send the connection request

    Reference the specific hub, route or fleet change.

  4. Day 4

    Send the AI-drafted opener

    Prospects with a cost-per-shipment or downtime outcome, the number logistics buyers actually respond to.

Sample prospects, re-ranked

Illustrative prospects showing how the logistics tuning moves a score against the same nine-factor model.

  • VP Operations at a 400-person regional carrier opening a third distribution hub

    Default 75%Tuned 90%▲ +15 pts

  • Director of Procurement at a 30-person single-site 3PL with no expansion plans

    Default 72%Tuned 58%▼ -14 pts

  • Head of Supply Chain at a 1,100-person manufacturer mid-way through a TMS migration

    Default 78%Tuned 89%▲ +11 pts

  • COO at a 900-person last-mile gig platform with no B2B shipper base

    Default 81%Tuned 64%▼ -17 pts

PLACEHOLDER data: these companies, roles and scores are invented for illustration and are not real prospects.

Questions about logistics & supply chain

What this playbook weights differently, and why those factors predict better here than the defaults do.

Is this how you sell?

Bring your own list and we will run it against this playbook while you watch. Half an hour, and you will know whether the ranking matches your judgement.

Book a 30 minute callAll FAQs
Why is company size weighted up here when other playbooks weight it down?

Because in logistics it is a real proxy rather than a lazy one. Fleet and warehouse footprint tracks buying power closely, in a way headcount does not in a software business.

How much does route coverage matter?

Enough that geography is weighted above default. A shipper whose lanes you do not cover is not a prospect with a longer sales cycle; it is not a prospect.

Who owns the decision in a logistics business?

Operations more often than IT, and the playbook weights evidence of operational ownership accordingly.

Start here

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