Product presentation · Thailand · 2026

Orders start in chat.
Orderline makes them operational.

A controlled ordering workflow for food suppliers that turns natural LINE messages into catalogue-matched, correctly priced order drafts—ready for sales to review and confirm.

Built for food suppliers Works with LINE Sales stays in control
Restaurant order · LINE
Hi, please send 2 cases burrata and 6 kg salmon for Thursday.
ORDER DRAFT Thursday delivery
Review
B
Burrata2 cases · catalogue matched
✓
S
Salmon6 kg · client price applied
✓

The operational gap

Chat is excellent for ordering.
It is not an order system.

Restaurant customers naturally send shorthand, mixed languages, corrections, delivery notes, and partial product names. Supplier teams must turn every message into accurate operational data—usually by hand.

01

Information is unstructured

Product, quantity, unit, timing, and special instructions arrive in one conversational message.

02

Knowledge lives in people

Aliases, preferred products, pack sizes, and client prices depend on individual memory.

03

Mistakes surface too late

Ambiguity, missed changes, and retyping errors can reach customer service or the warehouse.

The Orderline product

One controlled layer between customer chat and fulfilment.

Orderline keeps the customer’s familiar ordering channel while giving the supplier a structured, traceable workspace. It supports the sales team; it does not replace their commercial judgment.

01
Understand the messageNatural, multilingual order extraction
02
Apply business truthCatalogue, pricing, units, and delivery rules
03
Put people in controlReview, resolve, confirm, and hand off

How it works

From message to confirmed order

A complete operational flow with a human-controlled decision at the point that matters.

  1. 1
    LINE

    Receive

    Capture the raw customer message first, preserving the original source for auditability.

  2. 2
    AI

    Extract

    Identify candidate items, quantities, units, intent, delivery hints, and notes.

  3. 3
    SKU

    Validate

    Match against the real tenant catalogue using deterministic product and alias rules.

  4. 4
    THB

    Price

    Apply client-specific prices, units, pack constraints, and supplier delivery rules.

  5. 5
    OPS

    Review

    Surface ready, held, cancellation, change-request, and needs-review work in one queue.

  6. 6
    ✓

    Confirm

    Create the final order and structured internal handoff only after controlled confirmation.

The operator workspace

Every order shows the next safe action.

Sales sees a focused operational queue instead of searching chat history. Clear orders move forward; uncertain orders stay visible and held until a person resolves them.

  • Ready Catalogue-matched and safe to confirm
  • Needs review Product, pricing, unit, or delivery attention
  • Held Customer intent preserved without guessing
  • Changes Add, update, remove, and cancel through a controlled path
OPERATIONSToday’s orders
OP
Active18All open work
Needs action4Resolve first
Ready11Safe to send
Order queueIllustrative product view
Siam Garden KitchenLINE group · 10:42
Needs review

2 items · Product choice required for “buffalo mozzarella”

Review product optionsResolve →
River HouseLINE group · 10:37
Ready

4 items · Delivery Thursday · Client pricing applied

Validated and confirmableConfirm & send email →

Designed for trust

AI reads language.
Orderline controls the order.

The product deliberately separates language understanding from business decisions. That boundary makes automation useful without letting uncertain model output silently become operational truth.

AI Extracts evidence
  • Candidate item text
  • Quantity and unit evidence
  • Order or change intent
  • Delivery hints and notes
  • Language context
Controlled boundary
OL Owns business truth
  • Product and SKU selection
  • Client price resolution
  • Unit and pack constraints
  • Delivery validation
  • Confirmation and final order
01No silent guessing

Ambiguous or unmatched items remain held for review.

02No AI pricing

Prices come only from deterministic tenant and client rules.

03No automatic final order

Confirmation is a separate, explicit business action.

04Full audit trail

Raw intake and key workflow decisions remain traceable.

Product value

Less order administration.
More operational confidence.

↘

Reduce manual retyping

Convert chat evidence into structured draft lines for the team.

◎

Catch uncertainty earlier

Surface product, unit, price, and delivery blockers before fulfilment.

◇

Standardise client knowledge

Keep aliases, preferences, catalogue rules, and pricing in the system.

✓

Create cleaner handoffs

Send confirmed, structured order information to internal teams.

Operating economics

Cost scales with people,
not with servers.

A 170-fold increase in clients raises the monthly running cost by roughly 3.6×. Every figure below is taken from live billing or modelled from measured system behaviour.

Today $85–105

Per month for the complete system, running two fully independent environments.

At 1,000 clients ≈ $310

Per month, as a planning figure. The modelled total is $257; the remainder is headroom.

Per order at scale ≈ 1.4¢

Hosting, transactional email, and AI language processing combined.

TodayUSD / month
Cloud hostingTwo DigitalOcean environments, automatic backups included
84
Transactional emailSendGrid, order confirmations to customer service
0–20
AI language processingOpenAI, charged per message parsed
0.47
Domain and DNSCloudflare
1
Total
85–105
At 1,000 restaurant clientsUSD / month
Cloud hostingSame two environments, after one capacity upgrade
118
Transactional emailAround 22,000 order confirmations a month
20
AI language processingAround 66,000 messages a month
99
Messaging platformLINE Official Account, internal alerting
20
Modelled total
257
01Hosting barely moves

Two full environments with backups carry the pilot today and a thousand clients after one upgrade.

02AI is priced per message

Under half a cent of language processing per order, and only for the messages that need it.

03Capacity is measured

Load testing puts throughput headroom several times above projected demand at a thousand clients.

04Review stays human

Confirmation is deliberately a person’s decision. That is the cost that grows, and where leverage is planned.

Modelled on 22 ordering days a month, one order per client per ordering day, three AI-parsed messages per order, and one confirmation email per order—about 22,000 orders a month. Structured orders bypass language processing entirely and cost nothing to parse. Under deliberately conservative assumptions—five parsed messages per order, a managed database, and higher email volume—the upper bound is roughly USD 680 a month.

Current product stage

Live production pilot

The full ordering workflow now runs in production. Real restaurant orders arrive through LINE, are reviewed and confirmed by sales, and reach fulfilment as structured orders—while the pilot expands restaurant by restaurant.

Production system live · real orders processed end-to-end · pilot onboarding active

Running in production today

  • LINE text intake and raw-message storage
  • Natural-language candidate extraction
  • Deterministic catalogue matching
  • Client-specific pricing and rules
  • Held drafts, review, and confirmation
  • Dashboard queue, audit trail, monitored backups

Live pilot focus

  • Onboarding pilot restaurants and their pricing
  • Refinements driven by real order traffic
  • Operator review workflow polish
  • Learning from sales resolutions over time
  • Weekly supplier price-list imports
  • Controlled path from pilot to full launch

Orderline

Keep the conversation.
Control the order.

Supplier-owned ordering infrastructure for the way restaurants already buy.