E-Commerce Platform Replatforming Guide 2026: The APAC Playbook

Quick Answer: Replatforming in 2026 is an operations migration, not a storefront rebuild. Map multi-market payment, tax and warehouse requirements before shortlisting platforms, capture twelve months of transactional baselines, design data migration early, and launch market by market with a tested rollback plan.

Most replatforming projects in Asia fail for a boring reason: the team scoped a platform migration when what they actually had was an operations migration. The storefront is the visible 20%. The other 80% is payment gateways that only exist in one market, a warehouse system that speaks a fixed-width text file, tax invoicing rules that differ between Taipei and Jakarta, and a finance team that reconciles six settlement reports by hand every Monday. Any e-commerce platform replatforming guide 2026 that opens with a platform comparison chart is starting in the wrong place.

I've spent the last decade building commerce systems for listed retail groups, multi-brand catering operators, and manufacturers selling through dealer networks across Greater China and Southeast Asia. The pattern is consistent. Companies moving off Adobe Commerce, SAP Commerce Cloud, or a decade-old bespoke build don't struggle with the frontend. They struggle because the legacy platform quietly absorbed a hundred undocumented business rules, and nobody wrote them down.

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This guide is structured as a sequence of steps, weighted toward the parts that actually break: multi-market configuration, payment and settlement, warehouse integration, and governance after go-live. It assumes you operate in more than one APAC market, or you're a US/UK/EU business using Hong Kong, Singapore, or Australia as your Asia operations hub.

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Prerequisites: What You Need Before Step 1

Don't start a migration without these four things in place. Every project I've seen slip by six months was missing at least two.

A named executive owner with budget authority

Not a steering committee. One person who can decide that Vietnam launches in phase two, and make it stick. Replatforming generates a steady stream of scope disputes between marketing, operations, and finance. Without a single decision-maker, each dispute costs you a fortnight.

A complete inventory of integrations

List every system that reads from or writes to your current platform: ERP, WMS, POS, loyalty, CRM, marketing automation, tax engine, 3PL, marketplace connectors, BI extracts. For each one, record the direction of data flow, the transport (API, SFTP, database view, webhook), the frequency, and — critically — the person who knows how it works. In a Hong Kong catering group we worked with, the integration inventory surfaced eleven systems the IT team knew about and four they didn't, including a nightly SFTP drop feeding a kitchen production planner.

Twelve months of transactional baselines

Orders per day by market, average order value, peak-hour concurrency, conversion rate by device, refund rate, and the top 50 SKUs by revenue. You cannot prove a migration succeeded without a pre-migration baseline, and you cannot debug a post-launch dip without one either. Pull these before you touch anything.

A written definition of "done"

A replatforming is done when a defined list of business processes runs end-to-end on the new stack without manual intervention. Write that list. "Site is live" is not a definition of done — I've seen sites go live with finance still exporting settlement data by hand nine months later.

Step 1: Decide Whether You Need to Replatform At All

Rehost, replatform, refactor, rebuild

These terms come from AWS's cloud migration "6 Rs" framework and they matter because they carry wildly different price tags.

• Rehost (lift-and-shift): move the same application to different infrastructure. Your Adobe Commerce 2.4.x install moves from an on-premise datacentre in Kwai Chung to AWS Singapore. Same code, same schema, new hosting. Weeks, not quarters.
• Replatform: move to a different commerce platform. Adobe Commerce to Shopify Plus, SAP Commerce to a composable stack. Data model changes, integrations get rewritten, business rules get re-implemented.
• Refactor: keep the platform, restructure the code — decoupling the frontend, extracting checkout, moving to headless.
• Rebuild/repurchase: start clean on a SaaS product and accept its opinions.

The honest question is which of your problems are platform problems. Slow page loads are often a CDN, image, and third-party script problem, not a platform problem. Google's Core Web Vitals thresholds require Largest Contentful Paint under 2.5 seconds at the 75th percentile (web.dev), and plenty of Adobe Commerce sites hit that with disciplined frontend work. If your issue is that merchandising takes three weeks per campaign because every change needs a developer, that is a platform problem.

The forcing functions that make the decision for you

Sometimes the vendor decides. Shopify retired checkout.liquid customisations for the Information, Shipping, and Payment pages in August 2024 and for the Thank You and Order Status pages in August 2025, forcing every Plus merchant onto Checkout Extensibility (Shopify Dev). Adobe has been steering customers toward Adobe Commerce as a Cloud Service and Commerce Optimizer, which changes the extension and upgrade model materially (Adobe Commerce docs). Magento Open Source users face a separate calculus around long-term security patching.

PCI DSS v4.0.1 is another forcing function. The future-dated requirements — including the client-side script inventory and integrity monitoring rules that hit payment pages directly — became mandatory on 31 March 2025 (PCI Security Standards Council). If your self-hosted checkout can't demonstrate script integrity monitoring, you have a compliance project whether you replatform or not.

Score it before you commit

Run a simple weighted scorecard across five axes: cost of change (how long to ship a merchandising change), operational manual effort (hours/week of human reconciliation), compliance exposure, market expansion blockers, and total cost of ownership trajectory. If fewer than three axes score red, fix what you have. Replatforming is the most expensive way to solve a problem you could have solved with an integration layer.

Step 2: Map Multi-Market Requirements Before You Shortlist Platforms

This is the step APAC teams skip and then pay for. A platform that is excellent for a single-market US DTC brand can be structurally wrong for a group operating in Hong Kong, Taiwan, Singapore, and Malaysia.

Build a market requirements matrix

For each market, document: currency and rounding rules, tax model, invoicing obligations, payment methods by share of transactions, delivery models (including locker and convenience-store pickup), returns process, language and content variants, and data residency constraints.

Concrete examples that regularly break generic platform assumptions:

• Taiwan requires government uniform invoice (GUI / 電子發票) issuance integrated with the Ministry of Finance e-invoice platform. Convenience-store pickup via 7-Eleven and FamilyMart is not an add-on — for many categories it's the default fulfilment method.
• Indonesia operates QRIS as the national QR payment standard under Bank Indonesia (Bank Indonesia), and cash-on-delivery remains material in tier-two cities.
• Singapore applies GST to imported low-value goods under the Overseas Vendor Registration regime from 1 January 2023 (IRAS), which means your platform needs to calculate and collect tax at checkout for shipments under S$400.
• Australia applies GST to imported goods valued at A$1,000 or less for registered overseas businesses (Australian Taxation Office).
• Hong Kong has no sales tax but heavy reliance on FPS, PayMe, Alipay HK, and WeChat Pay HK — a checkout without local wallets converts poorly.

Decide your market architecture: one store or many

Three patterns, three sets of trade-offs.

Single store, multi-market configuration. Shopify Markets, for example, handles currency, domain, duty, and price-list variation within one store. Lowest operational overhead, one product catalogue, one set of apps. The constraint: divergent catalogues, market-specific bundles, and per-market fulfilment logic get awkward fast.

Store per market. Full flexibility, clean tax and legal separation, easier local team ownership. The cost is multiplication — every app subscription, every theme change, every integration is done N times. A four-market group is effectively running four release cycles.

Hybrid: shared backend, market-specific storefronts. A composable setup with one commerce engine and per-market frontends. Highest flexibility, highest engineering demand, and it only pays back if you have (or will hire) in-house engineers.

For a Greater China jewellery retailer with distinct product assortments in Hong Kong versus mainland-facing channels, store-per-market was the right answer despite the overhead — the catalogues genuinely didn't overlap. For a Southeast Asian fashion group selling the same 800 SKUs across four markets, a single store with market configuration was clearly cheaper to run.

Data residency and privacy obligations

China's PIPL imposes cross-border transfer requirements that affect any personal data leaving the mainland (Cyberspace Administration of China). Singapore's PDPA and Australia's Privacy Act reforms shape consent capture and breach notification. Vietnam's Decree 13 on personal data protection introduced local processing expectations. None of this dictates a specific platform, but it does dictate where your customer database sits and which analytics vendors you can use — decide this before you sign, not during UAT.

Step 3: Choose Between a Suite and a Composable Stack

What "composable" actually costs

The MACH Alliance (microservices, API-first, cloud-native, headless) has done a good job making composable architecture the default answer in enterprise RFPs (MACH Alliance). It is often the wrong answer for mid-market APAC retailers.

Composable moves complexity from the vendor to you. Instead of one contract, one support line, and one upgrade path, you have a commerce engine, a CMS, a search provider, a CDP, a payment orchestrator, and a frontend framework — plus the integration code binding them, which nobody else maintains. That's a viable trade if you have an in-house engineering team of meaningful size and a product owner who can arbitrate between vendors. If your e-commerce team is four people and an agency, composable will slow you down.

Gartner has consistently noted that composable strategies deliver value primarily where organisations have the operating model to support them (Gartner). The operating model is the hard part, not the architecture.

A pragmatic shortlist for APAC in 2026

• Shopify Plus — strongest fit for brands prioritising speed of change and low operational burden. Checkout Extensibility and Shopify Functions cover most customisation needs now. Constraints: checkout logic remains partly opinionated, B2B capabilities are improving but still thinner than dedicated B2B platforms, and platform fees scale with GMV.
• Adobe Commerce — still the right answer for complex catalogue logic, deep B2B pricing hierarchies, and enterprises with existing Adobe Experience Manager investment. Higher TCO, larger engineering requirement, and the Cloud Service transition needs scrutiny in your contract.
• SHOPLINE — strong regional fit across Hong Kong, Taiwan, and Southeast Asia, particularly for local payment methods, logistics partners, social commerce, and OMO retail scenarios. Worth serious evaluation for brands whose demand is concentrated in Greater China rather than global.
• commercetools / composable engines — for organisations with genuine engineering capacity and requirements that no SaaS product satisfies.
• BigCommerce / Salesforce Commerce Cloud — credible, but weigh APAC payment and logistics connector depth carefully; connector maturity in Southeast Asia varies more than the sales deck suggests.

There is no single best e-commerce platform for 2026. There is a best fit for your catalogue complexity, market count, engineering capacity, and tolerance for operational overhead — in that order.

Test with a real proof of concept, not a demo

Before signing, build a two-week spike against your three hardest requirements. Not the happy path. Take your worst promotion rule, your most awkward warehouse handshake, and your most complex tax scenario, and make them work in a sandbox. Vendor demos are engineered around what works. Your POC should be engineered around what usually breaks.

Step 4: Model Total Cost of Ownership Over Three Years

Line items teams forget

Licence fees are the number everyone gets right. Here's what routinely gets missed:

• Payment processing differentials — moving off a negotiated acquirer rate to a platform's default gateway can cost more per year than the licence.
• App and SaaS subscriptions, multiplied by store count.
• Integration middleware (iPaaS licences, or the engineering cost of maintaining bespoke connectors).
• Data migration and cleansing effort, which is almost always underestimated because catalogue data quality is worse than anyone believes.
• Parallel running: you'll pay for both platforms for three to six months.
• Retraining operations, customer service, and warehouse staff across markets and languages.
• SEO recovery contingency — budget for a temporary organic traffic dip.

Model the operational hours, not just the software

The strongest replatforming business cases I've seen are built on manual-effort reduction, not licence savings. If finance spends 30 hours a month reconciling settlement files across five payment providers, and the new stack automates that, price the hours. If merchandising waits nine days for a developer to change a promotion, price the delay against campaign revenue.

Be honest about the payback period

A mid-market multi-market replatforming rarely pays back inside twelve months. If your business case shows it does, someone has under-scoped integration or over-claimed a conversion lift. Baymard Institute's aggregate research puts documented average cart abandonment at roughly 70% (Baymard Institute) — checkout improvements are real, but assume conservative conversion gains and let the operational savings carry the case.

Step 5: Design the Data Migration Before You Design the Site

Classify your data by migration strategy

Four buckets:

1. Migrate and transform — products, variants, categories, customers, active subscriptions.
2. Migrate as reference only — historical orders. Most platforms handle imported historical orders poorly. Consider keeping them queryable in a data warehouse and exposing a read-only order history rather than forcing them into the new schema.
3. Rebuild — CMS content, redirects, SEO metadata, promotional rules.
4. Archive and leave behind — inactive customers, discontinued SKUs, expired promotions. Migration is the cheapest catalogue cleanup you'll ever get. Take it.

Write the field mapping as a versioned artefact

A mapping spreadsheet in someone's inbox is how you lose three weeks. Keep the mapping in source control alongside the migration scripts. A minimal Shopify product mutation for a migrated SKU looks like this:

1mutation CreateProduct($input: ProductSetInput!) {
2  productSet(synchronous: false, input: $input) {
3    product { id handle }
4    userErrors { field message }
5  }
6}

1{
2  "input": {
3    "handle": "legacy-sku-88214",
4    "title": "Cashmere Crew Neck",
5    "productType": "Knitwear",
6    "metafields": [
7      { "namespace": "legacy", "key": "magento_entity_id", "type": "single_line_text_field", "value": "88214" },
8      { "namespace": "tax", "key": "tw_gui_code", "type": "single_line_text_field", "value": "6109" }
9    ]
10  }
11}

The legacy.magento_entity_id metafield matters more than it looks. Keeping the source system's primary key on every migrated record is what lets you reconcile, re-run, and debug. Without it, your third migration dry-run creates duplicates and you spend a weekend cleaning up.

Run at least three full dry-runs

Dry-run one finds the schema problems. Dry-run two finds the data quality problems — the 400 products with no images, the customers with invalid phone formats in three different Southeast Asian formats. Dry-run three is a timed rehearsal: you need to know whether the full migration takes four hours or eighteen, because that determines your cutover window. Use bulk operations rather than per-record API calls; Shopify's Bulk Operations API and Adobe Commerce's async bulk endpoints exist precisely for this.

Step 6: Rebuild the Payment and Settlement Layer for Each Market

Payment method coverage drives conversion more than design does

In Greater China and Southeast Asia, the gap between a checkout that supports local wallets and one that doesn't is not a design refinement — it's a revenue cliff. A working coverage baseline:

• Hong Kong: Visa/Mastercard, FPS, PayMe, Alipay HK, WeChat Pay HK, Apple Pay, Octopus for selected use cases
• Taiwan: credit card instalments (分期), LINE Pay, JKOPay, convenience-store payment on pickup, ATM virtual account transfer
• Singapore: PayNow, cards, GrabPay, Atome and similar BNPL
• Malaysia: FPX online banking, Touch 'n Go eWallet, GrabPay, cards
• Indonesia: QRIS, virtual account bank transfer, GoPay, OVO, COD
• Vietnam: MoMo, ZaloPay, VNPay, domestic ATM cards, COD
• Philippines: GCash, Maya, bank transfer, COD
• Australia/NZ: cards, PayID, Afterpay, Zip, Apple/Google Pay

Instalment payments in Taiwan and virtual-account transfers in Indonesia and Vietnam are the two that most often get discovered late, because neither exists in a Western checkout template.

Choose between direct gateway integrations and orchestration

Direct integrations (via Stripe, Adyen, AsiaPay, 2C2P, or local acquirers) give you better rates and fewer hops. A payment orchestration layer gives you routing, retry logic, and a single reconciliation format across providers — valuable once you're past roughly four providers or three markets. Adyen and Stripe both publish extensive regional method coverage (Adyen, Stripe); verify coverage per market rather than per region, because "Southeast Asia supported" in a datasheet frequently means Singapore only.

Design reconciliation on day one

Ask one question of every payment integration: how does a settled transaction get matched back to an order and posted to the general ledger? If the answer involves a human downloading a CSV, you have re-created the problem you're replatforming to escape. Specify the settlement webhook, the reference field that survives from checkout to bank statement, and the exception queue for mismatches. Multi-currency settlement — collecting in TWD and MYR, settling in HKD or SGD — introduces FX timing differences that finance will need modelled explicitly.

Step 7: Integrate Warehouse, OMS, and ERP as First-Class Scope

Establish the system of record for each data object

Write it down, one line per object: who owns inventory truth, who owns pricing, who owns customer records, who owns order status. Ambiguity here produces the classic failure mode — two systems both believing they own stock levels, and oversells during a flash sale.

Assume your WMS is older than your platform

Most warehouse systems in APAC — especially at 3PLs serving multiple markets — integrate over SFTP with delimited files on a schedule, not real-time REST. That's workable if you design for it. A typical pattern:

1# Inventory snapshot pulled from 3PL every 15 minutes
2sftp -i ~/.ssh/wms_key [email protected] <<'EOF'
3cd /outbound/inventory
4get INV_SNAPSHOT_*.csv /data/inbound/
5rm INV_SNAPSHOT_*.csv
6bye
7EOF
8
9# Transform to platform inventory adjustments, reconcile against last known state
10python3 sync_inventory.py --source /data/inbound --location-map config/locations.yml --dry-run false

The non-obvious requirements: idempotency (the same file arriving twice must not double-adjust), a reconciliation report showing platform stock versus WMS stock per location per day, and a defined behaviour when the file doesn't arrive. Silence should trigger an alert, not a silent stale-inventory state.

Model multi-location and cross-border fulfilment explicitly

If you ship Malaysian orders from a Singapore warehouse and Taiwanese orders from a Taipei 3PL, your platform needs location-aware inventory, market-to-location routing rules, and per-route lead times shown at checkout. Test the awkward cases: a split shipment across two countries, a partial refund on a split shipment, and a cross-border return. These are where the integration design either holds or collapses, and they're rarely in the UAT script unless you put them there.

Keep an integration test harness

Build contract tests against each integration and run them in CI. When the 3PL changes a column in their CSV without telling you — and they will — you want a failing test at 09:00, not a warehouse team calling at 16:00.

Step 8: Establish E-Commerce Platform Governance Before Launch

Governance sounds like a slide. In practice it's the difference between a platform that stays clean for four years and one that accumulates 60 apps and three conflicting discount mechanisms in eighteen months.

Define who can install what

Every app is a permanent dependency, a data processor under privacy law, and a potential source of client-side script on your checkout — which PCI DSS v4.0.1 now requires you to inventory and monitor. Require an approval step: business justification, data access review, and a named owner. Review the app list quarterly and remove anything unused.

Set the release process

Environments (dev, staging, production), version control for themes and functions, code review, and a deployment window that excludes Friday afternoons and the 48 hours before a major sale. For Shopify, that means theme code in Git with the CLI:

1shopify theme pull --store your-store.myshopify.com --theme <staging-id>
2git checkout -b feature/checkout-upsell
3# ...changes...
4shopify theme dev --store your-store.myshopify.com
5shopify theme push --theme <staging-id>

Assign regional versus central ownership

In multi-market groups, the recurring fight is how much local teams can change. A workable split: central owns platform configuration, checkout, payment, integrations, and the design system; local markets own merchandising, campaigns, content, and pricing within guardrails. Write the guardrails down. Unwritten guardrails get tested every quarter.

Step 9: Plan the Cutover Market by Market

Don't launch four markets on one night

Sequence by risk, not by revenue. Launch your smallest complex market first — it exercises the hard paths (tax, local payment, 3PL) at low volume. Learn, fix, then launch the revenue-heavy market. A big-bang multi-market launch means every problem surfaces simultaneously and you can't tell which system caused it.

Protect organic traffic with a redirect map

Organic traffic loss is the most common post-replatforming regret, and it's almost entirely preventable. Crawl the existing site, export every indexed URL with its traffic and backlink profile, and map old to new one-to-one. Never bulk-redirect to the homepage — Google treats those as soft 404s (Google Search Central).

1# 301 map, deployed at edge ahead of DNS switch
2map $request_uri $redirect_target {
3  "/collections/fw24-knitwear"        "/collections/knitwear";
4  "/products/cashmere-crew-neck.html" "/products/cashmere-crew-neck";
5  default                              "";
6}
7
8server {
9  if ($redirect_target != "") { return 301 $redirect_target; }
10}

Also migrate: canonical tags, hreflang across market domains or subfolders, structured data, XML sitemaps, and robots.txt. For multi-market sites, incorrect hreflang causes the wrong market's page to rank in the wrong country — a quiet, expensive error.

Write the rollback plan and the go/no-go criteria

Define, in advance, what triggers a rollback: order failure rate above X%, payment authorisation rate below baseline minus Y points, inventory sync failing for more than Z minutes. Agree these thresholds with the business before launch night, when everyone is calm. Keep DNS TTL low for 72 hours beforehand and keep the old platform warm for the full parallel-run period.

Freeze changes and rehearse

A content and configuration freeze 5–7 days before cutover. A full dress rehearsal against production-scale data, timed. Every person with a launch-night task has a written runbook step with a checkbox and an owner.

Step 10: Stabilise, Measure, and Decommission

The first 14 days are operational, not marketing

Watch order-to-fulfilment cycle time, payment authorisation rates by method and market, inventory sync error counts, customer service ticket volume by category, and checkout completion rate against your pre-migration baseline. Ticket categories are the best early-warning signal — a spike in "where is my order" almost always means the fulfilment integration is dropping status updates.

Measure against the baseline you captured in prerequisites

Compare like-for-like periods and be careful with seasonality. Do not declare victory on week-two revenue; declare it when the operational hours you promised to remove have actually been removed and the finance team confirms it.

Decommission deliberately

Export and archive legacy data with a documented retention policy that satisfies each market's tax and privacy rules — record-keeping periods differ between Hong Kong, Singapore, Taiwan, and Australia. Then cancel the licences. I've seen groups pay for a decommissioned platform for a year because nobody owned the cancellation.

Common Mistakes and How to Troubleshoot Them

Treating replatforming as a design project

Symptom: three months into the project, the team has beautiful Figma files and no integration specification. Fix: split the workstreams. Design and content can run in parallel, but the integration and data workstream sets the critical path. If the two are managed as one project, design will consume the attention and integration will be discovered late.

Discovering payment or tax requirements during UAT

Symptom: two weeks before launch, someone in the Taipei team asks how GUI invoices will be issued. Fix: the market requirements matrix in Step 2, signed off by each local finance lead — not by regional headquarters on their behalf.

Migrating dirty data faithfully

Symptom: the new site launches with the old site's duplicate SKUs, inconsistent category names, and 15 variants of "Black". Fix: a data quality gate between dry-run two and three, with an owner in merchandising who signs off on catalogue readiness.

Underestimating the parallel-run period

Symptom: the old platform was switched off after three weeks and a settlement dispute from month one can't be investigated. Fix: budget three to six months of overlap, with read access retained even after the storefront is retired.

Organic traffic drops 30% in week three

Diagnosis order: check Search Console coverage reports for spikes in 404s and soft 404s; verify the redirect map covers URLs with traffic and URLs with backlinks (they're different sets); confirm canonical tags aren't pointing at the staging domain (this happens more often than anyone admits); check hreflang across markets; confirm the new sitemap is submitted and the old one removed.

Inventory oversells during the first promotion

Diagnosis order: check sync frequency against peak order velocity — a 15-minute snapshot cannot support a flash sale; check whether the platform or the WMS is the declared system of record; check whether reservation logic exists between add-to-cart and payment capture. The usual fix is a buffer threshold per SKU plus real-time decrement on order creation with periodic full reconciliation.

Payment authorisation rates fall after cutover

Diagnosis order: compare authorisation rates by issuer and by method against the old gateway; check whether 3-D Secure configuration changed; check whether the merchant descriptor changed (issuers penalise unfamiliar descriptors); check retry logic on soft declines. A two-point authorisation drop on a large book of business is worth more than most conversion optimisation programmes.

The project has no owner after go-live

Symptom: the agency demobilises, the internal team returns to BAU, and the backlog stops moving. Fix: name the post-launch product owner and fund the roadmap before launch. A platform without an owner degrades at a predictable rate.

What to Do Monday Morning

Three things you can start this week, before you approach any vendor.

1. Build the integration inventory. One row per system touching your commerce platform: direction, transport, frequency, owner. Give it two days and interview operations and finance, not just IT. The gaps you find will tell you more about migration difficulty than any vendor assessment.
2. Pull your twelve-month transactional baseline. Orders, AOV, conversion by device and market, refund rate, payment method mix, and monthly manual-reconciliation hours. Without this you cannot build a business case or prove success afterwards.
3. Run a two-hour market requirements workshop with each local finance and operations lead. Ask exactly one question per market: what would break if we moved platform tomorrow? Take notes verbatim. That list is the real scope of your migration — and, in my experience, it's the single highest-value artefact any e-commerce platform replatforming guide 2026 can push you to create.

If you're weighing a move off Adobe Commerce or SAP toward Shopify Plus, SHOPLINE, or a composable stack across multiple APAC markets, Branch8 runs platform assessments that start with the integration and market matrices rather than the platform shortlist. Get in touch if you want a second opinion on scope before you commit budget.

Sources

• web.dev — Core Web Vitals
• Shopify Dev — Checkout and theme architecture documentation
• Adobe Commerce Developer Documentation
• PCI Security Standards Council
• Baymard Institute — Cart Abandonment Rate Statistics
• Google Search Central — Redirects and Site Moves
• MACH Alliance
• IRAS — GST on Imported Low-Value Goods