TMS Interactive Demo

Take our Transport Management System for a test drive

Not a screenshot, not a video — a working simulation of all 11 screens: order intake, trip planning, barcode loading, the driver signing on a phone, billing, and AI forecasting. Every screen explains what it does and where it saves money.

11
clickable screens
10
core modules
2
AI Local modules
8
months to go-live
TMS software demo
tms.yourcompany.local
DEMO
Friday 12 September 3
All data on this screen is simulated for demonstration.
End-to-End Flow

One system, from order intake to cash in the bank

The five beats of transport operations, all covered — without a single re-keyed record.

01 PLAN

Orders pulled automatically from ERP / WMS, consolidated into trips, vehicles and drivers assigned, weight–volume–pallets computed, and cost per trip visible before departure.

02 EXECUTE

Barcode-verified loading, seal numbers, condition photos, vehicle checklist, a full printed document set, and gate-out time and odometer.

03 PROVE

Offline-capable driver app, e-signature, evidence photos, short/damaged/returned handling, and original document tracking.

04 SETTLE

Freight calculated from the rate card, plan vs. actual per trip, customer invoicing, carrier payables, all posted into ERP.

05 PREDICT — AI Local

Volume forecast 7–30 days out, cheapest consolidation recommended, at-risk trips flagged before departure, and instant Thai-language Q&A.

Business Outcomes

Measurable results, not just a pretty system

Ranges observed from comparable distribution deployments. Actual results depend on volume, route structure and user discipline — we agree them as KPIs during blueprint.

10–18%
Lower freight cost

Consolidation, drop sequencing, and AI recommending the cheapest vehicle and carrier before you commit.

65% → 85%
Higher vehicle utilisation

Weight, volume and pallet fit computed instantly — no more half-empty trucks leaving the yard.

70–80%
Less planning time

From 2–3 hours a day in Excel down to 15–30 minutes, and anyone on the team can cover.

5–10 days
Faster invoicing

ePOD lands the moment delivery completes — no waiting for paper, shorter DSO.

3–5%
Less freight overpayment

One rate card company-wide, with AI catching abnormal invoices before approval.

50%+
Fewer mis-shipments and claims

Every unit barcode-checked before loading, with seals and photos on record.

60%+
Less duplicate data entry

WMS → TMS → ERP share one dataset — fewer errors and a faster close.

7–30 days
Forward visibility

AI forecasts volume by zone and customer, so vehicles and carriers are secured ahead of the peak.

ROI Calculator

Work out your own payback

Move the slider to your real annual freight spend and see what this system should return.

฿30 million / year
฿5M฿200M
Freight reduction from consolidation and AI recommendations (10%)
Overpayment recovered by AI invoice anomaly detection (1.5%)
Data entry and paperwork saved, equivalent to 2 headcount
Reporting and analysis time saved with the AI assistant
Claims, losses and redeliveries avoided
Total annual benefit
Project investment (indicative)
Payback period
months
First-year ROI
Three-year cumulative benefit
Request a quotation

An illustration of the method, not a guarantee. Share your real transport volume and we will model your specific savings free of charge, then convert it into KPIs measured jointly after go-live.

Why AI Local

Why the AI must run inside your own company

Customer lists, freight rates and routes are trade secrets — so none of it ever leaves your network.

AI Local — what we propose Typical cloud AI
Data security Customers, rates and routes stay 100% inside the company and never touch the internet. Data is shipped to an overseas provider on every single call.
Cost Paid once at installation, unlimited questions, no monthly token bill. Charged by usage — the more value you get, the more you pay.
Accuracy for your work Trained on your real transport history; it knows your customers, routes and internal vocabulary. A general model with no knowledge of your data; context must be re-fed every time.
Continuity Keeps working through an internet outage, because the model is on your LAN. Stops the moment the connection or the vendor has a problem.
Governance PDPA, internal audit and ISO ready — who asked what, and when, is on record. Limited control, dependent on an external provider's policy.
Implementation

Live in 8 months, delivered in phases

Operations (M1–M8) go live in month 6; AI Local switches on in month 8, once there is enough data for the model to be accurate on day one.

1
Phase 1 Weeks 1–4
Requirements & solution design

User interviews, process design, blueprint / SRS

2
Phase 2 Weeks 5–12
Build M1–M4 (origin)

Master data, transport orders, trip planning, load & dispatch

3
Phase 3 Weeks 11–18
Build M5–M6 and the driver app

ePOD, freight cost, billing and carrier settlement

4
Phase 4 Weeks 13–20
Build M7–M8

ERP / WMS integration, dashboards, reports and the portal

5
Phase 5 Weeks 17–26
Build M9–M10 (AI Local)

History preparation, on-prem install, training and accuracy validation

6
Phase 6 Weeks 25–29
Test, migrate and train

SIT, master data migration, UAT and user training

7
Phase 7 Weeks 30–32
Go-live and hypercare

Production cutover with 30 days of close support

Why TW Engineering

Why work with us

AI Local is our core skill

We have already built AI trained on customer databases and running on-premise — no cloud, no monthly fees.

We know both WMS and ERP

We build WMS and ERP ourselves, so the integration points are designed right from day one.

100% Thai team, built in-house

Same language, on site when it matters, and the system bends to your process.

Real plant-floor experience

MES, WMS, AMR and automation delivered in Thai factories and warehouses.

Ready to upgrade your factory?

Book a free consultation with our engineering team.