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Machine Logic Co., Ltd.Machine Logic Co., Ltd.

Run Your Business Smarter with AI

Sales, purchasing, finance, stock and people on one set of data. Leaders see today’s real numbers, teams stop stitching spreadsheets, and AI points to what needs a decision first.

What the AI is doingERP: 30-day cash forecast updated. CRM: 4 deals likely to close this week. HR: Warehouse overtime up 22%. ERP: 3 purchase orders drafted for approval. LMS: Course recommended to 18 sales staff. BI: Daily executive summary ready. Chatbot: Chatbot answered 128 LINE OA messages this hour

Built for the people who make the calls

Everyone in the organisation works from the same data, and each role gets something different from it.

  • Owners and executives

    Numbers arrive late and each department reports a different figure

    Today’s sales, margin and cash on one screen, with an AI summary of what needs a decision

  • Finance and accounting

    Closing the books is slow because data lives in several systems

    Accounting and tax run on the same data as sales, purchasing and stock, with every entry traceable

  • Sales and customer service

    Hard to tell which deals will close, and messages pile up on every channel

    AI ranks the deals to chase first, and a chatbot answers customers on LINE OA from your real data

  • Operations, warehouse and plant

    Stock runs out or piles up, and machine problems surface too late

    Live stock and shop-floor status, alerts before problems hit, and purchase orders drafted for approval

  • HR and people development

    Too much paperwork, and no clear view of who needs which skills

    Time, overtime and payroll connected automatically, with courses recommended from the work each person does

Turn business data into decisions.

We don’t sell features, we sell outcomes. Pick one to see how the platform gets you there.

How it happens

Data is entered once and flows to every module; approvals and hand-offs run themselves.

Time spent on repeat work
Separate systemsMachine LogicConceptual trend. Actual results depend on each organisation.
from kickoff to go-live
4–8weeks
to respond to every request
< 4hours
of onboarding after go-live
30/60/90days
on one data layer, from ERP to chatbots
8solutions

One Platform. One Data. One Intelligence.

Most organisations run several systems whose data never meets. Teams compile numbers by hand, and any AI sees only part of the business. Machine Logic puts every module on one data layer, with AI on top seeing all of it.

AI Intelligence LayerUnderstands, analyses, predicts, recommends and acts — across every module
Business DataOne data set for the whole organisation

Select a module to see what it connects to

ERP

Enterprise Resource Planning

What it does
Records and controls core transactions, from sales order to financial statement.
Data it connects
Sales orders, purchase orders, stock, general ledger
How AI helps
Forecasts sales and stock, flags anomalies, writes the report summary for you.
Business impact
Faster close, less dead stock, cash visibility ahead of time.
Connected withHRCRMLMSIoT
Learn more ERP

Built to order for your business

When your problem is one of a kind, the team that builds the platform builds it for you: field hardware, LINE OA chatbots and dashboards around your KPIs. Use them with our platform or with the systems you already run.

  • Sample data

    AI Chatbot

    A chatbot that actually knows your business

    • LINE OA, Facebook and your website
    • Answers from real ERP, CRM and document data
    • Hands over to people with the full context
    Learn more AI Chatbot
  • Sample data

    Custom Dashboard

    Dashboards built around how you run the business

    • Designed around the KPIs leaders really use
    • Connects an existing ERP, Excel, Google Sheets and IoT
    • Desktop, mobile and TV walls on the floor
    Learn more Custom Dashboard
  • Sample data

    IoT & Hardware

    Connect the physical world to your business data

    • Sensors and machines in plants, warehouses and cold rooms
    • Time clocks, POS, scanners and RFID
    • Site survey, installation and ongoing care
    Learn more IoT & Hardware

AI isn’t a feature. It’s the intelligence layer of your business.

Machine Logic AI is not just a chatbot. It sits above every module, understands the whole organisation’s data, and helps from analysis all the way to action — with a person confirming every time.

  1. ExampleCombines 12 months of sales, stock in 3 warehouses and open purchase orders.

Select a step to follow one real example through

Machine Logic AssistantDemo with sample data

Hi. Ask me about sales, stock or your teams — I answer from every module’s data.

You: How are sales this month?

Sales are up 18.4% on last month, with Enterprise customers growing fastest.

Sales by customer segment (THB M)
  • SME2.11.95
  • Growing2.92.48
  • Enterprise3.93.09
This monthLast month

Try asking

We build assistants like this one for your LINE OA, website and internal tools. See the AI Chatbot service

Every industry works differently. We start by understanding yours.

Choose an industry to preview the dashboard AI prepares every morning.

Plant overviewERPIoTDashboardHRLMSBI

Plan production from a real forecast

OEE78.4%+3.1
Scrap rate1.8%
Downtime / week3.2 h
Sample data

AI suggests: Raw material PP-04 will fall short of next week’s plan. Order today.

See solutions for Manufacturing

We don’t just deploy software. We build business outcomes.

We are with you from day one until the system creates real value — and we don’t disappear after go-live.

  1. Discover

    Understand the business and its goals

  2. 4–8 weeks

    Implement

    Set up the system to fit your size and needs

  3. Train

    Role-based training for every user

  4. 30 / 60 / 90 days

    Go-live

    Go live with confidence

  5. Optimize

    Regular health checks

  6. Grow

    Quarterly business reviews

Implementation doesn’t end at go-liveTimelines vary with the size and scope of each project.
W1W2W3W4W5W6W7W8306090
Discovery
Configuration
Implementation
Testing + Training
30 / 60 / 90-day success program
Go-live
30
Every team runs its core work unaided
60
Workflows and reports tuned to real use
90
Health check and results against goals
< 4hoursResponse to every request

“We take it on, see it through, or hand it over properly.”

Every request has a named person on it within 4 hours, who sees it through or hands it to the right team and keeps you informed. We explain things in plain language, not jargon.

See how we support customers

Trust, in the system and in the AI

A platform holding the whole business must be secure from the first layer, and AI that helps decide must be explainable and supervised by people.

Enterprise-ready security architecture

  • Data SecurityBusiness data is isolated and protected from the architecture up.
  • Access ControlControl who can sign in, from where, and when.
  • Role-based PermissionsPermissions by role, so people see only what their job needs.
  • Audit TrailEvery create, edit and approval is recorded and traceable.
  • BackupScheduled backups with a recovery plan.
  • MonitoringContinuous monitoring to catch problems early.
  • Infrastructure SecuritySegmented infrastructure with least-privilege access.
  • PrivacyDesigned with PDPA in mind; personal data used only as needed.
See the security architecture

Responsible AI

  • Secure by DesignSecurity is designed into the architecture, not added later.
  • Privacy FirstAI sees only what the user is allowed to see, and uses only what the task needs.
  • Human in the LoopAI proposes and prepares; people confirm the decisions that matter.
  • Explainable AIEvery recommendation shows its sources and reasoning, and can be traced.
  • Data GovernanceCustomer data belongs to the customer, with clear rules for keeping, using and deleting it, designed with PDPA in mind.
  • Business-first AIAI goes where it measurably improves the work, not where it just looks modern.
Read our Responsible AI principles
What is Machine Logic?

Machine Logic is an AI-powered business platform that brings ERP, HR, CRM, LMS, Business Intelligence and IoT together on one data layer, so organisations work faster and decide more accurately.

How is it different from a typical ERP?

Typical systems keep data apart and add AI as an extra feature. Machine Logic puts every module on one data set, with AI working above all of them — analysing, predicting, recommending and preparing work for people to confirm.

How long does implementation take?

Usually 4–8 weeks, depending on project size and scope, with a dedicated project manager and 30/60/90-day follow-up after go-live.

What size of business is it for?

From SMEs to large enterprises. Start with the module you need, then add more on the same data without changing systems.

How secure is our data?

Security is designed into the architecture: role-based permissions, audit trail, backups and monitoring. It is designed with PDPA in mind, and AI sees only what each user is allowed to see.

Do you also do IoT and hardware?

Yes. We design, install and connect IoT devices, sensors, machines, time clocks and POS terminals to the platform, so data from the floor reaches ERP and AI instantly.

Do you build custom chatbots and dashboards?

Yes. We build AI chatbots for LINE OA, websites and internal tools that answer from your real business data, and we design dashboards around your KPIs, using data from our platform or from the systems you already run.

What support do you provide after go-live?

Every request has a person on it within 4 hours. You also get health checks and quarterly business reviews, with recommendations on modules and features for your next stage.

Is training available in Thai?

Yes. Role-based training comes with manuals, videos and learning content in Thai and English, and continues on the online LMS.

See the real system with your business in mind

Meet our specialists. We listen to how you work first, then walk you through the system in a scenario close to your business.

  • A walkthrough built around a scenario like yours, not slides
  • Which modules to start with, and which can wait
  • Scope, timeline and an initial budget

The full feature set, connecting your current systems and pricing are covered in the meeting.