Strategy & Atlas Lead
Translates data into strategy and operates the Oura Atlas loop.
3PL logistics: strong ops, but enterprise shippers shortlist vendors on Perplexity — we're not there
A B2B logistics company with strong SLAs but weak digital entity. The VP Customer Success opened an RFP channel from enterprise AI research.
The buying question this story answers Our operations are strong — why don't enterprise shippers find us when researching vendors on AI?
The gist
In enterprise logistics, strong operations are invisible if procurement cannot find you in self-research. Transparent SLA on the web = AI shortlist entry.
Logistics / B2B 3PL
Anonymized client
“An enterprise client said: our procurement team researches 3PLs on Perplexity first. We're never named — though our SLA beats the recommended ones.”
Full story
Enterprise QBR: “We didn’t know you existed”
The VP Customer Success sat in a quarterly business review. The client was satisfied — high NPS, on-time SLA. Then the procurement manager said:
“Our team shortlists 3PL vendors on Perplexity every year. Your name never appears. We got an intro from your sales team by chance — not from research.”
Our operations: 96% on-time. NPS 72. But on the vendor research battlefield — we did not exist.
Customer success POV: happy after onboarding, invisible before
As VP CS, I measure retention, NPS, expansion. All green. But new logos? 95% from relational sales intros — not scalable.
Enterprise procurement does not call sales first. They research: coverage, cold chain SLA, onboarding timeline, vertical experience. Our website? Company profile with warehouse photos.
Internal case studies were strong — never published. Procurement could not forward them to legal.
What they tried
Company profile website redesign. Logistics event sponsorship. 60-page sales deck PDF. Sporadic LinkedIn thought leadership.
Branding up. Self-research shortlist unmoved.
Audit findings: winning operations, losing discovery
0 structured SLA pages — procurement needs numbers, not “we are trusted” copy.
3PL competitors — per-service pages + FAQ + coverage maps.
No areaServed schema — AI could not resolve “Jakarta cold chain 3PL”.
Case studies in drawers — citation-worthy but not indexed.
Decision: publish 3 anonymized case studies + 4 service cornerstones — 3-week legal review. Sales worried about exposing SLA. Counter: procurement asks anyway in RFP — better we answer on the web.
What we ran (Oura Domination — customer success lens)
- Procurement query map — client interviews + benchmark.
- 4 service cornerstones — cold chain, fulfillment, last-mile, cross-border.
- 3 published case studies — vertical, SLA metrics, anonymized.
- Organization + Service + areaServed schema.
- Enterprise OAVF — conversational procurement queries.
- RFP attribution — AI-referral → inquiry → CRM.
How to read the numbers below
Typical patterns for enterprise 3PL in Indonesia. Domination engagement patterns:
- AI shortlists usually appear after cornerstones + case studies + schema — months 4–6.
- Self-research inbound RFP typically 10–20% of pipeline after 8 months — not replacing relational sales.
- Customer success metric: time-to-shortlist drops — procurement forwards pages before calls.
Enterprise logistics: SLA on the web is not exposing weakness — it is the procurement filter they will use anyway.
Before Oura
What they had already tried
- 8-page company profile website — no SLA detail, coverage, or onboarding timeline
- Enterprise sales purely relational — no content for self-researching procurement
- Internal case study PDFs — not published, not indexed
- Logistics event sponsorship — good branding, no online research shortlist
Turning point
Audit findings that changed direction
- Enterprise client NPS 72 — but 0 pages answering standard procurement questions
- 3PL competitors had per-service pages (cold chain, last-mile, cross-border) + SLA FAQ
- No Service/Organization schema with areaServed — AI could not resolve coverage
- 95% new logos from sales referral — self-research channel not measured
Before & after
What changed when the strategy ran.
Before
- NPS 72 · 95% new logos from referral
- 0 structured SLA pages · 8 company profile pages
- Not on 3PL AI shortlists
- Internal case studies unpublished
After Oura Domination (target)
- 4 service cornerstones + 3 published case studies
- Named in AI shortlists for 3 enterprise queries
- Self-research inbound RFP 15% of pipeline (target)
- Procurement can forward SLA pages to legal
The challenge
Challenge
3PL with 8 warehouses, national coverage, enterprise NPS 72, 96% on-time SLA. But 95% of new logos from sales referral — zero measurable inbound from self-research. Website: generic company profile, not answering procurement questions: coverage area, SLA per service, onboarding timeline, cold chain capability, pricing model range. When enterprise shippers researched "Indonesia 3PL cold chain" or "e-commerce fulfillment logistics Jakarta" on Perplexity, competitors appeared — this company did not. Strong internal case studies never published.
The approach
Approach
- 01
Enterprise procurement query gap analysis — coverage, SLA, vertical, onboarding.
- 02
Cornerstone per service: cold chain, last-mile, fulfillment, cross-border — answer-first + FAQ.
- 03
3 published anonymized case studies — vertical-specific, SLA metrics, citation-worthy.
- 04
Organization + Service + areaServed schema — clear coverage entity for AI.
- 05
Enterprise OAVF: conversational procurement query mapping.
- 06
AI-referral → RFP inquiry — GA4 + CRM correlation.
Execution phases
How the work unfolded month by month.
-
Months 1–2
Procurement query map
Interview 5 enterprise clients (anonymized), benchmark competitors, gap citation vs real operations.
-
Months 3–5
Cornerstones + case studies
4 answer-first services, 3 published case studies, Service schema. Customer success + legal review.
-
Months 6–8
OAVF & pipeline
Enterprise conversational mapping, AI citation monitoring, RFP attribution from AI-referral.
Oura Atlas
Every step runs through a safe, audited loop.
Data from GSC & GA4 becomes a brief, execution runs through dry-run and backup, impact is verified — not wild production changes.
Relate?
Is this your story?
A good fit if…
- 3PL / B2B logistics with strong SLAs but weak digital discovery
- Enterprise procurement researches vendors on Google & AI before RFP
- Customer success ready to publish anonymized case studies + transparent SLA
Less of a fit if…
- B2C same-day delivery — different buyer journey
- Unwilling to publish SLA ranges or coverage publicly
- Need enterprise logos in 30 days without cornerstone content
“Clients are happy after onboarding — but they couldn't find us before onboarding. We lose at research, not operations.”
“I send Perplexity shortlists to legal. Those on the list have clear SLA and coverage pages — not generic company profiles.”
Measured impact
Impact
0 → 3
enterprise queries in AI shortlist
95% → 80%
referral-only new logos
+75%
AI referral in GA4
- Customer success has pages to forward to procurement — not PDF decks.
- Enterprise sales no longer 100% dependent on relational intros.
- Leadership sees self-research as a scalable channel — not just event sponsorship.
Squad
The team behind execution
Managed service means real people operating Atlas — not software sold as a self-serve product.
Technical SEO Lead
Core Web Vitals, architecture, schema, and overall site health.
Content & Editorial
Answer-first content that Google reads and AI engines cite.
AI Visibility Specialist
OAVF execution, query mapping, and citation monitoring across generative engines.
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FAQ — Case Studies
What was the main challenge in this Logistics / B2B 3PL case study?
3PL with 8 warehouses, national coverage, enterprise NPS 72, 96% on-time SLA. But 95% of new logos from sales referral — zero measurable inbound from self-research. Website: generic company profile, not answering procurement questions: coverage area, SLA per service, onboarding timeline, cold chain capability, pricing model range. When enterprise shippers researched "Indonesia 3PL cold chain" or "e-commerce fulfillment logistics Jakarta" on Perplexity, competitors appeared — this company did not. Strong internal case studies never published. This story shows how the Oura squad + Atlas handle similar profiles through the Oura Domination package.
Which Oura package ran the "3PL logistics: strong ops, but enterprise shippers shortlist vendors on Perplexity — we're not there" project?
This project ran on Oura Domination. Service scope was tailored to Logistics / B2B 3PL — see the timeline and approach sections on this page for execution detail.
What is the main takeaway from this case study?
In enterprise logistics, strong operations are invisible if procurement cannot find you in self-research. Transparent SLA on the web = AI shortlist entry. Figures on this page come from real client data with publication permission.
How long until impact usually shows?
It depends on technical foundation and competition. Technical fixes and quick wins often show in 4–8 weeks; organic momentum and AI referral usually need several months of continuous iteration.
Which package fits a profile like this?
See the sidebar summary — each case study links to the Oura package that ran it. A Mini Audit helps map the realistic tier for your context.