Services
// Commerce Platform
Commerce platforms we run ourselves
ShopSCAPE is our own enterprise commerce platform. It runs Pantip MALL, a national marketplace, which is why we can tell you what breaks at scale before it breaks on you.
Talk to our team Request a current-state review
Built and operated by the team that builds it. Google Cloud certified implementation partner.
// Where off-the-shelf stops
Off-the-shelf ends where your business gets interesting.
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The platform fits everyone except you
Your pricing rules, your seller model or your fulfilment flow is the one thing the product does not do — and it is the thing your business runs on.
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Marketplace is a different problem from a shop
Multi-seller onboarding, commission, settlement, dispute handling and catalogue quality are not features you bolt onto a storefront.
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The integration list is longer than the build
ERP, payments, logistics, tax, loyalty, the marketplace channels. Commerce projects are integration projects wearing a nicer front end.
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Nobody owns it after launch
The agency that built it does not operate it, so month six is when the trouble starts.
// What we take on
What we build and run.
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Enterprise commerce on ShopSCAPE
Our own platform, configured and extended for your catalogue, pricing, customers and channels — not a template with your logo on it.
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Marketplace and multi-seller
Seller onboarding, commission and settlement, catalogue governance, and the operational tooling a marketplace team actually needs.
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Integration
ERP, payments, logistics, tax and CRM — including the Thai systems that international platforms treat as an afterthought.
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Commerce data and personalisation
Behavioural data flowing into your platform, with recommendations and segments built on the data layer beneath it.
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AI in the commerce workflow
Search that understands intent, content generation for large catalogues, and agents for the repetitive parts of seller and customer support.
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Operate it with you, or for you
We can run the platform after launch, or hand it to your team with the runbooks to do it themselves.
// How a project runs
Four phases, and the first one is where projects are saved.
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Commerce model and fit
We map your commercial model — catalogue, pricing, sellers, fulfilment, settlement — against what the platform does today, and are explicit about the gap.
- A commerce model document
- A fit-gap analysis and integration inventory
- A target architecture
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Platform and integration build
Configuration and extension of the platform, plus the integration work with your existing systems.
- A working environment
- Integrations built and tested
- Migrated catalogue and customer data
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Launch
Performance and load testing, operational readiness, staff training, and a controlled go-live.
- Production launch and runbooks
- Trained operations staff
- Monitoring in place
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Operate and grow
Day-two operations, and the roadmap work that follows real customer behaviour rather than the original wish list.
- Ongoing operations
- Performance and commercial reporting
- A prioritised improvement roadmap
Scope and timeline are agreed before work starts. Commerce projects fail on integration scope more than anything else, so phase one exists to find it early.
// Where this has run
Where this has run.
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Pantip MALL
A national marketplace, built and operated by us on ShopSCAPE.
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Reeeed
A content marketplace we built and run — a different commerce model on the same engineering discipline.
// Technology partners
The Data, AI and Agentic AI stack we build on.
We build on Google Cloud as a certified implementation partner, with multi-cloud delivery across BytePlus and Alibaba Cloud where the workload calls for it. From strategy through production, our deepest work is in Data Analytics, Data Foundation, Healthcare AI and Retail AI.
we are reseller
- Google CloudVertex AI
we are reseller-
One accountable partner.
From the first workshop to production support, you work with the same certified team. We advise, implement and stay accountable for what we ship.
Talk to our team 
we are reseller
- Data Lakehouse
- Streaming & CDC
- ETL & Pipelines
- BytePlusBytePlus Recommend
- Alibaba CloudMaxCompute
- Customer Data Platform
- Agentic AIHarness Engineering
- Agent Framework
- Conversational AI
// Why teams call us
Why teams build with us.
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We own the platform
ShopSCAPE is ours. When your requirement needs a change in the platform itself, that is a decision we can make rather than a ticket to a vendor abroad.
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We operate it at national scale
Pantip MALL runs on it. Our own uptime depends on the same code your business would.
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Commerce plus data plus AI in one team
The platform, the customer data and the AI on top are built by people who sit together. That is the difference between a personalisation feature and a personalisation system.
// Coming later
ShopSCAPE Studio — for smaller teams
We are building a lighter version of the platform for smaller businesses that need the same foundations without an enterprise programme around them. It is not open yet.
Join the waitlistWe will contact you when early access opens. Nothing else.
// Common questions
What teams ask before they replatform.
Is ShopSCAPE a product we buy, or a project you build?
Both, and the honest answer is that enterprises buy the platform and then need engineering around it. The platform is ours, which is why the engineering can go deeper than configuration when your commercial model requires it.
Can it handle a marketplace with many sellers?
Yes — that is where it came from. Pantip MALL is a multi-seller marketplace running on it, including onboarding, commission, settlement and catalogue governance.
Will it integrate with our ERP and our logistics providers?
That is most of the work in any commerce project, and it is why phase one is a fit-gap and integration inventory. We work with Thai payment, logistics and tax systems regularly, which is usually where international platforms struggle.
What about our existing platform and data?
Catalogue, customer and order migration is part of the build phase, with a reconciliation step so you can prove nothing was lost. We will also tell you when replatforming is not the right answer for your situation.
Do you operate it after launch?
If you want us to. Some clients run it with their own team using our runbooks; others hand day-two operations to us entirely.
When is ShopSCAPE Studio available?
Not yet. Join the waitlist and we will contact you when early access opens.
Tell us the part of your commerce model that does not fit
Every platform decision comes down to that one requirement the product does not handle. Start there and the rest of the conversation is quick.
Innovate for the better tomorrow.
// Corporate update
Our
Move
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Buying the platform and building on it used to be two conversations with two suppliers. It is one conversation now: we resell Google Cloud, Alibaba Cloud and BytePlus, and the same engineers who size the environment stay with it through production support.
For teams already running with us, nothing changes technically — the difference is commercial. Licensing, quota and billing sit with the people who know what the workload actually does.
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A certified implementation partner works to the cloud provider's published reference architectures. In practice that means your landing zone, IAM model and network layout look like something any Google Cloud engineer can pick up — including the next team you hire.
It also means the review gates are not ours to waive. Where the reference architecture asks for separation of duties or a break-glass path, it gets built.
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Hospital data arrives in fragments — HIS exports, lab feeds, scanned forms, free-text notes in Thai and English. Before a model sees any of it, someone has to answer where each field came from, who consented to what, and which records must never leave the country.
We build that layer first. It is slower to demo and it is the reason the pilots survive contact with a real ward.
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Live commerce moves fast enough that the recommendation loop has to close in the same session. That puts the weight on the event pipeline, not the model: what counts as a view, when a cart event lands, how quickly the feature store sees it.
We treat the BytePlus components as a stack to be wired properly rather than a switch to be flipped. The lift comes from the wiring.
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The site you are reading ships as static HTML, one stylesheet and one script, served by a Node process with a strict content security policy. There is no analytics tag, no font CDN and no tracker.
It is partly a statement of taste and partly a working sample: the same restraint we bring to a client's platform, applied to our own front door.
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Warehouses fill up faster than they get governed. By the time a model needs a feature, nobody can say which of the four revenue columns is authoritative, and the project stalls in a meeting about definitions.
The fix is unglamorous: contracts on the ingest side, lineage through the transformations, and one owner per domain. Do that and the AI work stops being archaeology.