Shipper-intent SEO & AEO
Search programs built for shipper and supply-chain-buyer intent: lane-specific queries, mode comparisons, 3PL alternatives. AEO optimization for the answer engines enterprise shippers now use for sourcing.
05 Verticals · Logistics
Marketing & AI for
logistics & supply chain.
We run B2B marketing and AI automation for logistics operators — 3PLs, freight platforms, and supply-chain SaaS. SEO and demand against shipper-intent search on one side; exception routing, document extraction, and quoting copilots on the other.
KacificSatellite Internet · SG
FlexxonNAND Solutions · SG
X-PHY IncCybersecurity · US
Gauze CareMedical Products · US
NDAB2B SaaS · US
NDAFintech · SG
NDAClimate & Energy · APAC
NDALogistics · US
Logistics wins on speed, compounds on both sides.
Your shipper prospect is Googling 'best 3PL for cold chain in APAC' at 11pm on a Tuesday, and your ops team is triaging a BOL exception at 6am on a Wednesday. Winning both takes a content and demand program that ranks where the shipper searches, and an automation layer that clears the exception before the SLA breach.
We've worked with logistics platforms in Singapore's cluster and the US mid-market — 3PLs, digital forwarders, fleet platforms, and warehouse SaaS. The playbook is the same: find the search shape your buyer is on, ship the content, wire the exception agent, hand it over.
Finyki is remote-first, with teams across Singapore and the United States. We staff operators who've shipped into WMS, TMS, customs systems, and B2B demand programs — not a team learning EDIFACT or HubSpot on your bill.
02 What we run in Logistics
Service shapes across marketing
and AI, tuned to logistics stacks.
Every engagement targets a shipper search pattern and an exception pattern — we ship both.
B2B demand for 3PL & freight sales
LinkedIn, paid search, and targeted content distribution reaching supply-chain leaders, logistics VPs, and shipper procurement. Scoped against pipeline, not MQL.
Logistics platform marketing site
Platform marketing sites with live rate feeds, calculator tools, and dynamic content on lanes and modes. Built to convert the shipper who lands on a programmatic page at midnight.
Document extraction & validation
BOL, POD, commercial invoice, and customs-declaration extraction with structured output and exception routing — not another OCR wrapper.
Exception triage & routing
Agent-first exception workflow: incoming event → classification → suggested action → human review → resolution, logged. Replaces the daily standup that shipped decisions 18 hours late.
Freight quoting & RFQ response
Agent-assisted quoting that drafts a response against your rate card, your margin floor, and your capacity constraints. Edited by a human; not autonomous.
Why most logistics agencies plateau.
Demo on clean data, campaign on generic intent. Production logistics data is filthy; the agent that hit 95% in the pilot hits 60% live. And generic 'freight marketing' content ranks nowhere — shipper intent is lane-specific and specialty-specific.
Nobody integrated to the TMS or the CRM. A document-extraction agent that emails ops isn't automation; a demand program that doesn't route to the AE isn't demand. Integration is the whole job — we don't skip it.
EDI was treated as a conversion target. EDIFACT, X12, and the dialects your carriers use don't go away because you put an LLM in front of them. We treat EDI as a first-class data format, and search data as a first-class signal.
The ROI story was about FTEs, or about MQLs. Real logistics payback is cycle-time reduction on exceptions and booking-rate lift on shipper searches — not FTE displacement or vanity lead counts. We scope for the former.
03 Proof
Logistics teams already operating
on what we built.
APAC · 3PL Platform · Exception AI + Demand
NDA · Regional 3PL
Replaced a 14-person overnight ops team's triage workflow with an exception-routing agent, and ran the shipper-intent SEO program that now drives 38% of platform signups.
- -92%Decision lag
- +38%Organic signups
- 27%Ops capacity released
US · Freight Platform · Quoting AI
NDA · Digital Freight Forwarder
Built the RFQ-response agent that now drafts every tender against the client's rate card, plus the programmatic content and paid program targeting enterprise shippers. Human reviewer per quote; zero autonomous sends.
- 4.1×Quotes per day
- +12ptsBid-win rate
- +58%Pipeline
How an engagement usually starts.
Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.
Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.
Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.
Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.
04 Questions Logistics teams ask
Usually in this order.
Do you run both sides for logistics platforms?
Yes. Most of our logistics engagements run shipper-intent SEO and B2B demand on one side, and document / exception / quoting AI on the other. Both sides feed the same growth model.
What's the highest-ROI first use case in logistics?
On marketing, usually programmatic SEO on shipper-intent queries. On AI, usually document extraction paired with exception routing. Both have clean before/after and live close to real operating time.
Do you handle EDI, EDIFACT, and the carrier dialects?
Yes. We don't try to replace EDI with JSON — we treat it as a first-class input and build parsers that survive the inconsistencies. That's unsexy work; most vendors skip it.
What about customs and regulatory documents?
We've shipped extraction and validation workflows for customs declarations, commercial invoices, and packing lists across SG, US, and EU. Accuracy gated on eval against your actual data.
Do you integrate to specific TMS or WMS platforms?
Yes. Oracle TMS, Blue Yonder, Manhattan, and a half-dozen platform-specific APIs. Integration is 50%+ of every logistics engagement.
Can AI agents send shipper-facing messages autonomously?
We default to a human reviewer for anything with commercial commitment (quotes, ETAs with SLA implications). Informational messages can be autonomous with monitoring.
How do you price logistics engagements?
First production AI system typically SGD 50k–120k. Marketing retainer from SGD 10k–25k / month. The integration and the content velocity are the biggest variables.
Your turn
Book the scoping
call.
Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your Logistics team — and a rough shape for the first engagement if it is.