AIDeploy.my

aideploy --industry=logistics --market=MY

Freight moves in hours. Paperwork shouldn't take days.

Malaysian forwarders and 3PLs run on PO PDFs in email threads, order photos on WhatsApp, and delivery orders that never quite match the invoice. We deploy production agents that read all of it and post clean records into the systems you already run. Every build passes an Agent GPA evaluation before go-live — 14 documented agent builds on our engineering hub, none of them demos.

Anchor Sprint Sdn Bhd · 1535934-DMalaysian-owned · HRD Corp & MDEC registeredEvery agent graded before go-livePDPA · BNM RMiT · MDEC

0
documented agent builds
0+
production incidents handled
0+
load-test audits
0+
resilience assessments

Order-intake agent

Reads purchase orders however they arrive — PDF attachment, Excel sheet buried in a reply chain, photo of a handwritten form on WhatsApp — extracts line items, validates against your rate card, and creates the order in your TMS or ERP. Outcome: same-hour order entry, zero re-keying.

Three-way match agent

Matches supplier invoice against PO and delivery order or GRN at the dock, tolerances configured per supplier, and routes only genuine exceptions to a human. Outcome: AP closes in days instead of weeks, and your team argues about real discrepancies, not typos.

Delivery-exception triage agent

Reads inbound complaints from customer WhatsApp and email, pulls the tracking status, drafts the reply, and escalates actual service failures with full context attached. Outcome: exceptions answered in minutes while your ops team stays on the floor.

docs: unstructured

What a Monday inbox actually looks like

A Port Klang forwarder's Monday morning: purchase orders as PDF attachments, an Excel order sheet five replies deep in a thread, a photo of a handwritten order form on WhatsApp. Downstream sit delivery orders, GRNs, K1/K2 customs declarations and supplier invoices that all have to agree before AP releases payment. Most operators along the Selangor logistics corridor still re-key everything into SQL Account, AutoCount or SAP Business One by hand. That re-keying is the bottleneck — and it is exactly the work language models are now reliable enough to do in production, with a human checking only the low-confidence cases.

agents: in-production

The agent patterns that fit this industry

Four patterns cover most of a logistics back office. Order intake: structured extraction from any format, validated against customer master and rate card before a record is created. Invoice matching: three-way match of invoice, PO and DO/GRN with per-supplier tolerance rules. Exception triage: classify, look up, draft, escalate — with the tracking data attached. Rate and product enquiry: instant answers from your own tariffs and schedules, not model guesses. Each agent posts into your existing ERP, TMS or WMS through APIs where they exist, with confidence thresholds and a human review queue where they don't. Nothing goes out unreviewed until the numbers prove it can.

  • Order intake: email + WhatsApp, any format, into your ERP
  • Invoice matching: three-way match at the dock, exceptions only
  • Exception triage: complaint to drafted reply in minutes
  • Rate enquiry: answers grounded in your tariff tables

pdpa: designed-in

Compliance is an architecture decision, not a checkbox

Consignee names, addresses and phone numbers are personal data under Malaysia's PDPA — so we design where documents are stored, how long extractions are retained, and which model endpoints data may touch before any agent goes live. With LHDN's e-Invoice mandate rolling out through MyInvois, matching agents validate against e-Invoice fields rather than fighting them. No regulator certifies or approves an AI deployment — anyone telling you otherwise is selling. What we do is design the deployment against PDPA expectations and document the data-flow decisions so your compliance officer can defend them.

risk: quantified

Evaluation and reliability, the unglamorous part

Before go-live, every agent is scored on an Agent GPA evaluation: a golden set built from your actual POs, DOs and invoices — the smudged ones, the ones in mixed Bahasa and English — with accuracy measured per field, not vibes. We load-test for your real peaks, because month-end invoice runs and pre-holiday order surges are when a fragile pipeline falls over. This discipline comes from operating software, not demoing it: 300+ production incidents handled, 30+ resilience assessments, 50+ load-test audits. No agent is right every time, so the review queue for the cases it gets wrong is designed in from day one — not bolted on after the first bad invoice.

pilot: scoped

Start with one lane, not a transformation

Pick one flow — one major customer's order intake, or one supplier's invoice matching. We run a two-week scoping exercise on your real documents, quantify current cycle time and error rate, and come back with a fixed-price pilot and a projected run-cost in RM per document. You see the agent working on your own paperwork before committing to a rollout. If the numbers don't clear the bar, we tell you that too — a scoping call that ends in "not yet" costs you thirty minutes, not a failed project.

Frequently asked questions

What does an AI agent for logistics cost in Malaysia?

Two numbers matter. The build: a single-workflow pilot (one order-intake lane or one supplier's invoice matching) is scoped as a fixed-price project after the two-week scoping exercise, so you know the RM figure before committing. The run-cost: model API charges typically work out to sen — not ringgit — per document processed, and we project it per document during scoping. You can sanity-check API economics yourself with our Claude cost calculator at www.anchorsprint.com/tools/claude-cost-calculator.

Can it integrate with AutoCount, SQL Account, SAP Business One or our custom TMS?

Yes — that integration is most of the engineering. Where your ERP or TMS exposes an API (SAP B1 Service Layer, Odoo, most modern WMS platforms), agents post records directly. Where it doesn't, we use file-drop, database-level, or supervised UI-automation fallbacks. The agent adapts to your system of record; we never ask you to replace your ERP to adopt an agent.

How do you handle PDPA and the LHDN e-Invoice mandate?

Consignee and shipper details are personal data under the PDPA, so data residency, retention and model-endpoint choices are made explicitly during design and documented for your compliance review. For e-Invoice, matching agents validate against MyInvois fields so the automation works with the mandate rather than around it. To be precise: no regulator approves or certifies an AI deployment — we design against their published expectations and give you the paper trail.

How long until something is actually running?

Two weeks of scoping on your real documents, then a pilot that typically reaches supervised production — agent working, human reviewing flagged cases — within four to eight weeks of kickoff. The gating item is usually access: sample documents, an ERP test environment, and one operations person who knows where the bodies are buried. Full autonomous operation comes only after the Agent GPA evaluation clears the agreed thresholds on live traffic.

Which AI model do you build on, and what's your relationship with Anthropic?

We build Claude-first — in our own extraction benchmarks it handles messy multi-format documents and strict extraction rules best — but every architecture is model-agnostic, so you are never locked in. Anchor Sprint is a member of the Anthropic Claude Partner Network, and the model choice for each workflow is justified in the scoping report with benchmark numbers from your own documents, not ours.

Scope your first agent

Book a 30-minute scoping call with Anchor Sprint Sdn Bhd (1535934-D). Bring one messy order thread and one unmatched invoice — we'll tell you what an agent can clear, what it can't, and what it would cost in RM. WhatsApp +6011 5924 6128.