Hyvä Development for Enterprise Retailers with Multi-Warehouse: A Checklist

Enterprise Hyvä implementation requires 14-16 week phased approach: pre-migration audit (week 1-2), environment setup (week 3-5), custom module development (week 6-10), warehouse integration (week 11-13), testing & go-live (week 14-16). This checklist covers 87 critical milestones ensuring production readiness for multi-warehouse retailers managing 5-50+ SKUs across multiple locations.

Pre-Implementation Phase (Weeks 1-2)

Technical Audit

• 
  Document current Magento version

  • Verify 2.4.6+ compatibility (Hyvä requirement)
  • List all installed extensions (identify retire/migrate/rebuild candidates)
  • Check custom module count and complexity
  • Audit database size and transaction volume
  • Document API integrations (payment, fulfillment, ERP, WMS)

• 
  Performance baseline

  • Measure current LCP, FCP, CLS on product/category/checkout pages
  • Record Core Web Vitals via Google Search Console
  • Document average API response times (inventory, cart, search)
  • Capture P99 latency under peak load
  • Screenshot user experience (page load speed, interaction responsiveness)

• 
  Warehouse operations audit

  • List all warehouse locations
  • Document inventory sync frequency (real-time? hourly? daily?)
  • Map fulfillment logic (zone-based? SKU-based? carrier-based?)
  • Identify WMS system (custom? Shopify Fulfillment? 3PL?)
  • Document current inventory display UI (product pages, cart, checkout)
  • List warehouse-related integrations (ERP, TMS, forecasting)

• 
  Custom code audit

  • Identify all custom frontend modules
  • Identify all custom backend modules touching storefront
  • Assess feasibility of migration vs. rebuild vs. retire
  • Document custom CSS and JavaScript
  • List custom template overrides
  • Identify deprecated patterns (knockout observers, core template hacks)

• 
  Third-party integration inventory

  • Payment processors (Stripe, Adyen, PayPal, etc.)
  • Fulfillment systems (ShipStation, EasyPost, custom WMS)
  • Tax calculation (Avalara, TaxJar)
  • Accounting integration (QuickBooks, NetSuite)
  • Marketing platforms (Klaviyo, Segment)
  • Analytics (GA4, Mixpanel)
  • Search engine (Elasticsearch, Algolia, Klevu)
  • Verify each has documented REST/GraphQL API

Stakeholder Alignment

• 
  Define success metrics

  • Specify target LCP/FCP/CLS improvements
  • Target inventory sync latency (real-time? 60-second? 5-minute?)
  • Expected feature velocity post-go-live (features per sprint)
  • Uptime SLA (99.9%? 99.99%?)
  • Acceptable migration downtime (4 hours? 0 hours?)

• 
  Identify team structure

  • Assign technical lead (yours or implementation partner)
  • Warehouse operations sponsor (owns inventory/fulfillment requirements)
  • Frontend/UX lead (owns storefront changes)
  • Infrastructure/DevOps lead (owns deployment, scaling)
  • QA lead (owns test strategy)
  • Schedule weekly sync meetings

• 
  Budget & timeline sign-off

  • Confirm 14-16 week implementation timeline
  • Approve implementation partner and costs
  • Reserve engineering capacity (can't do this + major features simultaneously)
  • Plan for post-go-live support (embedded engineers for 30 days)
  • Approve contingency budget (typically +15%)

Project Governance

• Define risks & decision framework
  • Create risk register (top risks: data quality, integration delay, performance regression)
  • Define escalation path (who approves scope changes?)
  • Set decision-making cadence (weekly? bi-weekly?)
  • Document success criteria for each phase
  • Plan for kill-switch/rollback scenarios

Environment Setup Phase (Weeks 3-5)

Infrastructure & DevOps

• 
  Production infrastructure

  • Provision production environment (separate from current Luma/legacy)
  • Database: Set up read replicas for analytics/reporting
  • Configure Elasticsearch/OpenSearch for product search
  • Set up Redis for caching (session, FPC, rate-limiting)
  • Configure Varnish or equivalent caching layer
  • Set up CDN for static assets (Cloudflare, Fastly)

• 
  Staging environment

  • Clone production database to staging
  • Set up equivalent Redis/Elasticsearch in staging
  • Configure staging DNS (staging.yourdomain.com)
  • Enable staging HTTPS with self-signed or staging SSL cert
  • Verify performance baseline in staging matches production

• 
  Development environment

  • Docker setup or equivalent (standardized dev environment)
  • Local database with anonymized production data
  • Local Elasticsearch (single-node is fine)
  • Xdebug configuration for PHP debugging
  • Pre-commit hooks (code standards, security checks)

• 
  CI/CD Pipeline

  • Set up Git repository (GitHub, GitLab, Bitbucket)
  • Configure branch strategy (develop, staging, main/production)
  • Build pipeline: Composer install → PHP lint → Unit tests → Deploy to staging
  • Deployment pipeline: Tag → Build → Deploy to production
  • Set up rollback mechanism (last 3 releases available)
  • Automated backup before each production deployment

Hyvä Installation & Configuration

• 
  Hyvä theme setup

  • Download Hyvä (license keys configured)
  • Install via Composer: composer require hyva-themes/magento2-default-theme
  • Run bin/magento setup:upgrade
  • Set Hyvä as active theme in Admin
  • Clear caches: bin/magento cache:clean

• 
  Core Hyvä configuration

  • Configure store views (languages, currencies if multi-regional)
  • Set up Tailwind CSS build (npm install in theme directory)
  • Configure Tailwind purge list (exclude custom classes)
  • Set up image optimization (WebP format, responsive images)
  • Configure PWA (service worker, offline experience)

• 
  Magento 2 core settings

  • Configure Magento security settings (Admin URL, 2FA)
  • Set up GraphQL endpoint (/graphql)
  • Enable REST API (if using for front-end)
  • Configure CORS headers (if cross-origin requests needed)
  • Set up API rate limiting (prevent abuse)

• 
  Inventory & warehouse configuration

  • Create Magento inventory sources for each warehouse
  • Assign each source a warehouse location (name, address, phone)
  • Configure stock levels per source
  • Set up inventory reservation behavior
  • Configure backorder handling
  • Map fulfillment priority (which warehouse ships which regions?)

API & Integration Scaffolding

• 
  Warehouse inventory API endpoint

  • Create custom REST endpoint: /rest/V1/inventory/warehouse/availability
  • Input: SKU + location filter
  • Output: JSON with qty_available, qty_reserved, expected_restocking_date
  • Implement caching (30-60 second TTL)
  • Test with real warehouse system
  • Document API specification for front-end team

• 
  Fulfillment webhook receiver

  • Create endpoint: /rest/V1/webhooks/fulfillment/update
  • Accepts fulfillment status updates from WMS/3PL
  • Updates Magento order status
  • Triggers customer notifications
  • Implement retry logic (webhook might fail first attempt)
  • Log all incoming webhooks for debugging

• 
  Payment processor integration

  • Configure payment module for Stripe/Adyen/etc.
  • Test payment flow: add to cart → checkout → pay → confirm
  • Verify webhook handling (payment confirmed → order created)
  • Set up PCI compliance (tokenized payments, no card storage)
  • Document payment flow for QA

• 
  Third-party integrations scaffolding

  • Tax calculation API (mock or live)
  • Shipping rate API (EasyPost, Fedex, etc.)
  • Search engine sync (product feed to Elasticsearch or Algolia)
  • Analytics tracking (Google Analytics 4 tagging)
  • Email/SMS notification service (SendGrid, Twilio)

Custom Development Phase (Weeks 6-10)

Storefront Templates & Components

• 
  Home page

  • Hero section (banners, video, CTA)
  • Product carousels (featured, best-sellers, new arrivals)
  • Category grid or menu
  • Trust signals (reviews, testimonials, certifications)
  • Newsletter signup
  • Test on mobile, tablet, desktop

• 
  Product detail page

  • Product title, description, images (gallery with zoom)
  • Pricing display (with rule-based pricing if applicable)
  • Inventory display per warehouse (location-based)
  • SKU variants (size, color, etc.) with variant switching
  • Add to cart button with quantity selector
  • Related/upsell products
  • Reviews and ratings section
  • Warehouse location picker (optional: show nearest warehouse to customer)
  • Stock status indicators (In stock, Coming soon, Backorder)

• 
  Category/listing pages

  • Product grid/list toggle
  • Faceted filters (by category, price, brand, attributes)
  • Sorting (by relevance, price, newest, rating)
  • Pagination or infinite scroll
  • Active filter display (show selected filters, easy removal)
  • Search integration (if using external search engine)
  • Mobile-optimized layout

• 
  Shopping cart

  • Product list with images, SKU, quantity
  • Per-item pricing with applicable discounts
  • Quantity adjustment
  • Remove item functionality
  • Cart subtotal, tax estimate, shipping estimate
  • Promo code input
  • Proceed to checkout CTA
  • Mini-cart for header/sidebar

• 
  Checkout flow

  • Step 1: Shipping address (guest or login)
  • Step 2: Shipping method (calculate based on warehouse + address)
  • Step 3: Billing address (same as shipping or different)
  • Step 4: Payment method (Stripe, Adyen, PayPal, etc.)
  • Order summary (products, pricing, totals)
  • Order confirmation page
  • Test checkout with various scenarios (single warehouse, multi-warehouse SKUs, split shipments)

• 
  Account pages

  • Login/register
  • Profile (name, email, phone)
  • Addresses (shipping + billing)
  • Order history (list view with status)
  • Order detail (single order view, tracking info)
  • Wishlist (if applicable)
  • Password reset
  • Logout

Warehouse-Specific Features

• 
  Warehouse inventory display

  • Real-time stock per warehouse on product page
  • Warehouse location name and phone
  • Estimated delivery date per warehouse
  • Warehouse availability map (if multi-regional)
  • API integration: fetch from /rest/V1/inventory/warehouse/availability
  • Cache layer: 60-second TTL to prevent API overload

• 
  Fulfillment logic

  • Warehouse selection algorithm (which warehouse ships order?)
  • Split shipments (if SKU only available in warehouse B but customer in warehouse A territory, handle gracefully)
  • Backorder handling (customer can order out-of-stock item?)
  • Estimated delivery display (based on warehouse distance to customer)
  • Shipping method filtering (only show carriers available from selected warehouse)

• 
  Inventory sync mechanism

  • Scheduled job: Every 5 minutes, sync warehouse inventory to Magento
  • OR: Webhook listener for real-time updates from WMS
  • Reserve logic: Customer reserves inventory at checkout; WMS honors reserve until order fulfills
  • Handle sync failures gracefully (if WMS is down, what happens to stock display?)

• 
  Order status workflow

  • Order placed → Warehouse receives order
  • Warehouse fulfills → Updates Magento order status (Processing)
  • Warehouse ships → Updates Magento order status (Shipped) + sends tracking
  • Customer receives → Updates order status (Delivered)
  • Handle returns/RMA if applicable

Performance Optimization

• 
  Frontend performance

  • Implement image optimization (WebP format, responsive srcset)
  • Code splitting: JS modules load on-demand (lazy loading)
  • CSS: Tailwind production build (purge unused classes)
  • Minify JS/CSS
  • Defer non-critical JS (analytics, third-party scripts)
  • Target: LCP <1.5s, FCP <1.0s, CLS <0.1

• 
  API performance

  • GraphQL query optimization (fetch only needed fields)
  • REST API pagination (prevent huge responses)
  • Caching: Redis for inventory, product data
  • Database query optimization (N+1 query audits)
  • Target: API response time <200ms P95

• 
  Database performance

  • Analyze slow queries (MySQL slow query log)
  • Add indexes on frequently filtered columns
  • Archive old data (orders >2 years old can move to archive table)
  • Monitor table sizes (product catalog growth)

Integration & Testing Phase (Weeks 11-13)

Warehouse System Integration

• 
  WMS/Fulfillment system connection

  • Test inventory sync: update WMS → verify in Magento within 60 seconds
  • Test order push: new order in Magento → appears in WMS within 2 minutes
  • Test fulfillment webhook: WMS marks item shipped → Magento reflects status + customer notified
  • Test error scenarios: WMS down → graceful error handling
  • Load test: 1000 concurrent inventory checks → system doesn't break

• 
  Fulfillment logic validation

  • Test single-warehouse order (all items from warehouse A)
  • Test split shipment (SKU from warehouse A, SKU from warehouse B)
  • Test backorder scenario (item out of stock, customer backorders)
  • Test warehouse priority (is nearest warehouse selected?)
  • Test zone-based fulfillment (West Coast orders from West warehouse)

• 
  Payment processor testing

  • Successful charge (test card number, verify in processor dashboard)
  • Declined card (processor denies, customer sees error)
  • 3D Secure (if applicable, test 2FA flow)
  • Refund flow (admin refunds order, verify in processor)
  • Partial refund (refund one line item, not whole order)
  • Duplicate payment detection (prevent double-charges)

• 
  Third-party integrations

  • Tax calculation (order total = subtotal + tax?)
  • Shipping rates (EasyPost returns correct rate for address?)
  • Email notifications (customer receives confirmation email?)
  • Analytics tracking (GA4 receives order confirmation event?)

Quality Assurance

• 
  Functional testing

  • Happy path: Browse → Add to cart → Checkout → Pay → Confirmation (test 20+ times on various devices)
  • Edge cases: Empty cart, out-of-stock items, decimal pricing, promotional discounts
  • Error handling: Network failure during checkout, payment failure, inventory race condition
  • Cross-browser testing (Chrome, Safari, Firefox, Edge on desktop + mobile)

• 
  Performance testing

  • Load test: Simulate 1000 concurrent users browsing
  • Stress test: 5000 concurrent users (identify breaking point)
  • Spike test: Normal traffic → 10x spike (how does system recover?)
  • Endurance test: Run at 80% capacity for 24 hours (identify memory leaks)
  • Soak test: Run at normal capacity for 72 hours (identify subtle degradation)

• 
  Security testing

  • SQL injection (try ' OR '1'='1 in search field, verify parameterized queries)
  • XSS (insert “ in product reviews, verify sanitization)
  • CSRF (test form submissions without CSRF tokens)
  • Authentication bypass (try to access /customer/account without login)
  • Authorization (logged-in user A can't view user B's orders)
  • PCI compliance scan (no credit card numbers in logs, network traffic)

• 
  Accessibility testing

  • Keyboard navigation (tab through all interactive elements)
  • Screen reader compatibility (product pages readable by NVDA/JAWS)
  • Color contrast (WCAG AA standard: 4.5:1 for text)
  • Form labels (all inputs have associated <label>)
  • Alt text (all images have meaningful alt attributes)

• 
  SEO validation

  • Metadata: Title, description, canonical URLs present
  • Structured data: Product, FAQPage, BreadcrumbList JSON-LD
  • Sitemaps: XML sitemaps generated and valid
  • Robots.txt: Configured, not blocking crawlable pages
  • Mobile-friendly test (Google Mobile-Friendly Test)
  • Core Web Vitals: LCP, FCP, CLS meet targets

Data Migration Validation

• 
  Data quality checks

  • Product count: Compare legacy → Hyvä (should match)
  • SKU accuracy: Spot-check 50 random SKUs (prices, descriptions match?)
  • Image migrations: All product images display correctly
  • Customer data: Historical orders accessible, not corrupted
  • Pricing rules: Catalog/cart rules apply correctly

• 
  Parallel operation validation

  • Orders placed in Magento appear in legacy system within 5 minutes (if legacy is still primary)
  • Inventory changes in WMS reflect in both systems
  • Customer data consistency (no divergence between systems)

Go-Live & Cutover Phase (Weeks 14-16)

Pre-Go-Live Checklist

• 
  24 hours before cutover

  • Final database backup of production
  • Final backup of legacy system (full file + database)
  • Verify staging environment is 100% identical to production
  • Confirm all integrations working in staging
  • Brief all stakeholders (CTO, CIO, customer service, fulfillment team)
  • Confirm incident response team available during cutover window

• 
  Communication plan

  • Customer-facing status page (communicate downtime window)
  • Internal Slack channel for real-time updates
  • Customer support brief (if issues arise, what do we tell customers?)
  • Executive summary of cutover plan (timeline, risks, rollback)

• 
  Rollback plan

  • Document rollback procedure (if go-live goes sideways, here's how we revert)
  • Test rollback in staging (confirm it actually works)
  • Confirm DNS rollback (can revert to legacy system quickly?)
  • Estimated rollback time: 30 minutes total downtime

Cutover Execution

• 
  Week 14 (Cutover window, 2am-8am recommended)

  • [ T-60min ] Final backup of production systems
  • [ T-45min ] Announce maintenance window (status page + email)
  • [ T-30min ] Final health check: staging environment fully validated
  • [ T-15min ] Database final sync (if using legacy → new data migration)
  • [ T-0min ] DNS switch: Route traffic from legacy IP to Hyvä IP
  • [ T+10min ] Monitor error logs, customer support channels
  • [ T+30min ] Smoke test: Browse homepage, add to cart, checkout (can't all be 100% perfect yet)
  • [ T+60min ] Open traffic at 5% (monitor closely)
  • [ T+120min ] Increase to 25% if no major incidents
  • [ T+180min ] Increase to 50% if stable
  • [ T+240min ] Increase to 100% if no issues
  • [ T+360min ] Status page shows "back to normal"

• 
  Cutover team structure

  • Incident Commander (makes final decisions)
  • Technical Lead (monitors systems, coordinates fixes)
  • Database Admin (stands by for data issues)
  • Bemeir's Principal Engineer (on-call for Hyvä-specific issues)
  • Customer Success (monitors support tickets, escalates urgent issues)

Post-Go-Live Stabilization (Weeks 15-16)

• 
  Weeks 15-16: Monitor, stabilize, embed knowledge

  • Run at 100% traffic for 72 hours, monitor continuously
  • Bemeir embeds 1-2 senior engineers on-site or remote (30 days)
  • Your team shadows engineers on first 20 feature tickets
  • Document operational procedures (how to deploy? how to debug? escalation?)
  • Conduct postmortem (what went well? what would we do differently?)

• 
  Keep legacy system running (60-90 days post-cutover)

  • Don't decommission legacy system yet
  • Keep in archive mode (read-only), accessible if needed
  • Use for reference/validation during first quarter on Hyvä

• 
  Customer communication

  • Email all customers: "We've upgraded our platform for better performance"
  • Monitor feedback (use UserTesting, survey, NPS)
  • Address any negative feedback (performance issues, UI confusion)

• 
  Analytics & success metrics

  • Compare new vs. old metrics (LCP, conversion rate, order volume)
  • Analyze customer feedback (were page loads noticeably faster?)
  • Document wins (feature velocity improved? team happier?)
  • Celebrate with team (you shipped this!)

Post-Go-Live Operations (Ongoing)

Monitoring & Maintenance

• 
  Weekly

  • Review error logs (Sentry, New Relic, or equivalent)
  • Check Core Web Vitals (Google Search Console)
  • Monitor API latency (inventory sync, payments, etc.)
  • Review customer support tickets for patterns

• 
  Monthly

  • Hyvä security updates (apply patches)
  • Magento security updates (separate from Hyvä)
  • Database optimization (vacuum, index review)
  • Dependency updates (Composer, npm)
  • Cost review (CDN, hosting, third-party services)

• 
  Quarterly

  • Feature planning (next 12 weeks of development)
  • Performance review (can we make it faster?)
  • Security audit (penetration test, vulnerability scan)
  • Team retrospective (what's working? what's hard?)

Team Knowledge Transfer

• 
  Day 1-7 (Bemeir embedded engineer present)

  • Codebase tour (directory structure, key files)
  • Local development setup (Docker, database, running locally)
  • Deployment process (how code gets to production)
  • Debugging workflow (xdebug, error logs, monitoring)

• 
  Week 2-4

  • First customer feature ticket (pair with engineer)
  • Second feature ticket (less hand-holding)
  • Database schema review (how data is organized)
  • API integration patterns (how to build new endpoints)

• 
  Week 5-12

  • Team leads new features independently
  • Embedded engineer reviews PRs, provides feedback
  • Document standard procedures (coding standards, PR template)
  • Gradual engineer withdrawal (less present, more on-call)

Success Metrics to Track

Before checking these boxes, define what success looks like: