ZTABS builds custom integrations for Sydney enterprises — connecting ERP, CRM, e-commerce, banking, and operational systems. Real-time data synchronization, automated workflows, and seamless data flow across your entire technology stack.
Sydney businesses run on fragmented technology stacks. A typical mid-market Sydney company operates 12-25 different software systems — ERP (SAP, MYOB, NetSuite, Xero), CRM (Salesforce, HubSpot, Pipedrive), e-commerce (Shopify, Magento, WooCommerce), marketing (Google Ads, Meta, Mailchimp, Klaviyo), HR (Employment Hero, BambooHR, ADP), project management (Monday.com, Asana, Jira), communication (Slack, Teams, email), document management (SharePoint, Google Drive, Dropbox), industry-specific systems (POS for retail, PMS for hospitality, practice management for professional services), and custom internal tools (often built on spreadsheets). Each system contains valuable data. None of them talk to each other naturally. The result: manual data entry (staff copying information between systems — an order entered in the e-commerce platform manually re-entered in the ERP, customer details from the CRM manually copied to the invoicing system), data inconsistency (the same customer having different details in different systems — an address updated in the CRM but not in the ERP), process delays (a process that spans multiple systems waiting for a human to bridge the gap — an approved purchase order in one system needing manual creation of the invoice in another), and reporting blindness (business intelligence requiring data from multiple systems that can't be queried together — the CFO wanting revenue by customer segment requiring data from CRM + ERP + e-commerce, currently compiled manually in Excel). Custom integration development in Sydney means building the bridges between these systems — automated, real-time, reliable data flow that eliminates manual transfers, ensures consistency, and enables processes that span multiple systems to execute without human intervention. Integration is distinct from each individual system — it is the infrastructure that makes the whole greater than the sum of its parts.
Sydney's integration demand spans every sector because every sector runs fragmented tech stacks. Retail and e-commerce: Sydney's retailers running Shopify/Magento for e-commerce, Lightspeed/Square for POS, Xero/MYOB for accounting, and various marketing platforms. Integration needs: order sync (e-commerce orders flowing to accounting automatically — revenue, tax, and cost of goods recorded without manual entry), inventory sync (stock levels synchronized between e-commerce, POS, and warehouse management — preventing overselling online or in-store), customer sync (customer data unified across e-commerce, POS, and CRM — a customer who shops online and in-store recognized as one person with a unified purchase history), and marketplace integration (orders from Amazon, eBay, and The Iconic flowing into the same order management pipeline as direct website orders). Financial services: Sydney's fintech companies and financial institutions connecting multiple systems. Integration needs: payment processing (connecting payment gateways — Stripe, Tyro, BPAY — with accounting and reconciliation systems), banking data (Open Banking/CDR APIs providing bank transaction data to fintech applications — account aggregation, lending assessment, personal finance management), regulatory reporting (extracting data from multiple systems, transforming per APRA/ASIC requirements, and submitting reports — automating what is currently a painful manual process), and customer onboarding (connecting KYC/AML verification services — illion, Equifax — with onboarding workflows and core systems). Professional services: Sydney's law firms, accounting firms, and consulting companies running practice management, billing, CRM, and document management as separate systems. Integration needs: time entry to billing (timesheet data flowing from practice management to the billing system — invoices generated from recorded time without manual compilation), document management (documents from the practice management system automatically filed in the document management system with correct classification), client data sync (client information entered once, available in all systems — practice management, billing, CRM, document management), and accounting integration (bills, payments, and trust account transactions flowing from the practice management system to the general ledger — Xero or MYOB). Healthcare: Sydney's healthcare providers running clinical systems, billing, patient communication, and reporting as separate platforms. Integration needs: pathology and imaging (results from pathology labs and imaging centres flowing into the clinical system — currently, results arrive via fax or secure message and are manually filed), Medicare claiming (clinical events triggering Medicare claims automatically — correct item numbers, patient details, and provider numbers populated from the clinical record), appointment reminders (patient appointment data from the clinical system triggering automated SMS reminders — reducing no-show rates), and health fund claiming (private health fund claims generated from clinical and billing data — electronic claiming reducing manual form completion).
Our Sydney integration projects cover assessment, architecture, development, testing, and monitoring. Integration assessment (week 1): understanding the integration landscape. We document: systems inventory (every system in the tech stack — vendor, version, hosting, data it contains, and current integration status), data flows (how data currently moves between systems — automated integrations, manual processes, spreadsheet bridges, email-based transfers), pain points (where data inconsistency, manual effort, or process delays cause business problems — ranked by business impact), and API landscape (which systems have APIs? What type — REST, SOAP, GraphQL, webhooks? What are the rate limits, authentication methods, and documentation quality?). Integration architecture (weeks 1-2): designing the integration approach. We design: point-to-point vs. hub-and-spoke (for 2-3 integrations: direct connections between systems are simpler. For 5+ integrations: a central integration hub avoiding the N² complexity of point-to-point connections), real-time vs. batch (order processing: real-time — a customer order should appear in the ERP within seconds, not hours. Financial reporting: batch — daily aggregation is sufficient. We match integration frequency to business requirements), synchronous vs. asynchronous (critical operations: synchronous — the sending system waits for confirmation that the receiving system processed the data. Non-critical operations: asynchronous — the message is queued and processed when the receiving system is available — more resilient to temporary outages), error handling (what happens when an integration fails? Retry logic: automatic retry with exponential backoff. Dead letter queue: messages that repeatedly fail stored for investigation. Alerting: the team notified when failures occur. Reconciliation: periodic checks verifying that data in all systems is consistent), and idempotency (ensuring that processing the same message twice doesn't create duplicate records — critical for financial data where duplicate transactions would be a serious error). Development (weeks 2-6): building the integrations. Technology: Node.js or Python for integration logic (depending on the team's existing skills), running as serverless functions (AWS Lambda — cost-effective for event-driven integrations, scaling automatically), or as containers (ECS Fargate — for long-running integration processes). Message queue: AWS SQS for asynchronous integrations (reliable message delivery, automatic retry, dead letter queue for failed messages). API gateway: for integrations that expose APIs — rate limiting, authentication, request validation, and logging. Monitoring: CloudWatch for metrics and alerting, structured logging for debugging integration issues. For each integration: a detailed specification (data mapping, transformation logic, error handling, testing plan) reviewed with stakeholders before development begins. Common integration patterns: webhook receiver (e-commerce system sends an order webhook → integration processes the order → creates the corresponding record in the ERP), scheduled sync (every 15 minutes: check for new or updated records in the source system → transform → load into the target system), event-driven (a record change in one system publishes an event → multiple downstream systems consume the event and update accordingly), and file-based (legacy systems that can't use APIs — generating CSV/XML files, processed by the integration, and loaded into the target system). Testing (weeks 5-6): verifying integration reliability. Unit testing: each transformation and mapping function tested with sample data — verifying correct output for normal cases, edge cases, and error cases. Integration testing: end-to-end testing with actual systems (in staging/sandbox environments) — verifying that data flows correctly from source to target. Load testing: simulating production volume — verifying that integrations handle peak load without failure or excessive latency. Error scenario testing: deliberately introducing failures (system unavailable, malformed data, duplicate messages) — verifying that error handling works correctly. Monitoring and operations (ongoing): ensuring integrations remain reliable. Dashboard: real-time visibility into integration health — messages processed, success rate, error rate, latency, and queue depth. Alerting: automatic alerts when: error rate exceeds threshold, latency exceeds threshold, queue depth grows (indicating processing backlog), or a specific integration hasn't run on schedule. Reconciliation: scheduled comparisons between connected systems — verifying that data is consistent (e.g., order count in e-commerce matches order count in ERP for the same period).
Retail / Multi-Channel Commerce
A Sydney multi-channel retailer (homewares and lifestyle products, 8 physical stores, Shopify e-commerce, Amazon Australia marketplace, wholesale channel, A$32M annual revenue) operated with disconnected systems creating operational chaos. The problems: (1) Order processing: orders arrived from 4 channels — Shopify website, Amazon Australia, wholesale (email/phone), and in-store (Lightspeed POS). Each channel: separate order management. A Shopify order: manually entered into MYOB (accounting) by the finance team — 3-5 minutes per order. An Amazon order: downloaded from Seller Central as a CSV, data reformatted in Excel, then entered into MYOB. Wholesale orders: manually entered from email/phone orders into a spreadsheet, then into MYOB. Total manual order entry: estimated 25 hours per week across the finance and operations team. Error rate: 3-4% (incorrect amounts, wrong customer, missing orders) — requiring reconciliation effort to identify and correct. (2) Inventory: stock levels managed separately in each system — Shopify (online), Lightspeed (retail stores), Amazon (marketplace), and a warehouse spreadsheet. When a product sold in-store: the Lightspeed POS deducted stock, but Shopify and Amazon were not updated until the next manual sync (performed twice daily by the operations manager). Between manual syncs: 2-4 hours of potential overselling. Overselling incidents: 15-20 per month (customers ordering products online that had sold out in-store) — requiring apology emails, refunds, and lost customer goodwill. The worst incident: a popular product featured in an Instagram campaign sold out in stores before the online inventory was updated — 45 online orders for out-of-stock product, requiring 45 individual customer contacts and refunds. (3) Customer data fragmentation: the same customer shopping across channels appeared as different people — "John Smith" in Shopify, "J Smith" in Lightspeed, no record in Amazon (Amazon doesn't share customer email). Customer purchase history: incomplete and channel-specific. When a VIP customer (A$5,000+ lifetime spend across all channels) contacted support: the support agent saw only the online order history, not the significant in-store purchases. Marketing: unable to segment customers by total spend because total spend was unknown. (4) Reporting: the weekly management report compiled manually by the operations manager — taking 4 hours every Monday morning. The report: pulling sales data from Shopify, Lightspeed, Amazon Seller Central, the wholesale spreadsheet, and MYOB — copying into a master Excel workbook, reconciling discrepancies, and producing summary tables. Data accuracy: questionable (minor discrepancies between systems accepted because reconciliation effort was too high). By the time the report was ready: leadership reviewing last week's data, not taking real-time action. (5) Shipping: Shopify orders shipped via Australia Post (labels generated in Shopify Shipping), Amazon orders shipped via Amazon FBA or direct (labels generated in Seller Central), and wholesale orders shipped via a freight company (labels generated manually). Tracking information: entered manually back into each system — or not entered at all (wholesale tracking rarely updated). Customers on Shopify: receiving tracking automatically. Amazon customers: receiving tracking via Amazon. Wholesale customers: often calling to ask "where's my order?" because tracking was never communicated.
We built an integration platform over 7 weeks: (1) Centralized order hub: all orders from all channels flowing into a central order management system (custom-built on Node.js + PostgreSQL, running on AWS). Shopify: webhook integration — every new order instantly pushed to the order hub. Amazon: SP-API integration — orders polled every 5 minutes (Amazon doesn't support real-time webhooks). Wholesale: custom order entry interface (replacing email/spreadsheet — the sales team entering wholesale orders directly into the order hub). Lightspeed POS: API integration — in-store sales synced to the hub every 2 minutes. Each order: normalized to a standard format (regardless of source channel), assigned a unique order ID, and enriched with customer identification (matching across channels using email, phone, or name matching). MYOB integration: orders from the hub automatically created in MYOB as sales invoices — correct customer, correct products, correct amounts, correct tax (GST calculated automatically). The 25 hours/week of manual order entry: eliminated entirely. (2) Real-time inventory sync: inventory managed centrally in the order hub — every sale (from any channel) immediately deducting stock from the central count, and the updated stock level immediately pushed to all channels. Shopify: inventory updated via Shopify Admin API within 10 seconds of a sale on any channel. Amazon: inventory updated via SP-API within 5 minutes (Amazon's API processing time). Lightspeed: inventory updated via API within 2 minutes. The operations manager's twice-daily manual sync: eliminated. Overselling protection: if stock reaches zero in the hub, all channels updated to show "out of stock" within minutes — not hours. Safety stock threshold: configurable per product (e.g., reserve 2 units for in-store customers when online stock is low — preventing the situation where online sales leave stores with nothing to display). (3) Customer identity resolution: customer matching algorithm — when an order arrives from any channel, the system attempts to match the customer to an existing profile using: email (exact match), phone (normalized format match), and name + postcode (fuzzy match for customers without matching email/phone). Matched customers: order attributed to their unified profile — building a cross-channel purchase history. Unmatched customers: new profile created. Over time: the system building a comprehensive customer database with cross-channel behaviour. Customer profiles: available to the support team (when a customer contacts support, the agent sees all orders from all channels), marketing team (segmentation based on total lifetime value, not just single-channel value), and management (accurate customer count — not inflated by cross-channel duplication). (4) Automated reporting: daily reports auto-generated from the order hub — sales by channel, sales by product category, sales by store location, inventory levels (stock-on-hand, stock-in-transit, stock on order), and financial summary (revenue, COGS, gross margin by channel). Reports: delivered to Slack at 8am every morning — leadership reviewing yesterday's actual numbers before the day begins. Weekly management report: auto-generated (replacing the operations manager's 4-hour Monday morning compilation). Monthly P&L: data flowing automatically from the order hub to MYOB — the finance team reconciling rather than compiling. (5) Shipping integration: ShipStation integration — all orders from all channels routed to ShipStation for shipping label generation. Shipping rules: automatically selecting the carrier based on order attributes (under 500g → Australia Post eParcel, over 500g → StarTrack, wholesale → freight company). Tracking: automatically synced back to the source channel — Shopify orders updated with tracking in Shopify, Amazon orders updated in Seller Central, wholesale customers receiving tracking emails from the order hub. Customer communication: unified — all customers receiving shipping confirmation and tracking regardless of purchase channel. (6) Error handling and monitoring: integration dashboard showing real-time status of all integrations — orders processed, inventory syncs, errors, and latency. Error handling: failed integrations automatically retried (3 attempts with exponential backoff). Persistent failures: queued in a dead letter queue and Slack notification sent to the operations team. Reconciliation: nightly automated check comparing order counts and financial totals across all systems — discrepancies flagged for investigation.
Manual effort: order entry from 25 hours/week to zero — the finance team no longer entering orders manually. The operations manager: reclaiming 4 hours every Monday morning (automated reporting replacing manual compilation). Total manual effort eliminated: approximately 29 hours/week — A$78,000/year in labour cost at equivalent hourly rates. Overselling: from 15-20 incidents/month to 1-2 incidents/month (the remaining incidents caused by very rapid sequential sales in the few-minute sync window between channels). A 90% reduction in overselling. Customer refunds due to overselling: from A$4,500/month to A$300/month. Customer complaints about overselling: from a regular support burden to a rare exception. The Instagram campaign incident scenario: impossible with real-time inventory sync — stock deducted across all channels within seconds of each sale. Order accuracy: from 96-97% (manual entry with 3-4% errors) to 99.8% (automated — errors only from incorrect source data, not from data entry mistakes). Reconciliation effort: from 3 hours/week (identifying and correcting discrepancies) to 20 minutes/week (reviewing the automated reconciliation report — almost always clean). Customer intelligence: first-ever cross-channel customer view. Discovery: 22% of customers purchased from 2+ channels — these cross-channel customers having 3.1x higher lifetime value than single-channel customers. VIP identification: 340 customers identified as VIPs (A$5,000+ total lifetime value across channels) — 85 of these were previously unknown as VIPs because their purchases were spread across channels. VIP program: launched for these 340 customers — personal shopping appointments, early access to new products, exclusive events — driving 18% increase in VIP customer spend in the first 6 months. Reporting: from delayed and questionable (Monday morning report of last week's data, with acknowledged inaccuracies) to real-time and reliable (daily reports at 8am, sourced from automated data, reconciled nightly). The CEO: "I start every morning knowing exactly what happened yesterday across all channels. That didn't exist before." Shipping: tracking communicated to all customers automatically — wholesale customer "where's my order?" calls: reduced 80% (from 15/week to 3/week). Development cost: A$85,000 (7-week engagement). Annual value: A$78,000 (manual effort elimination) + A$50,000 (overselling reduction — refunds + goodwill recovery) + A$45,000 (VIP program revenue uplift) + reconciliation time savings + faster reporting + improved customer experience. ROI: development cost recovered within first year from operational savings alone; VIP program and customer intelligence providing additional strategic value.
We work with any API — REST, GraphQL, SOAP, gRPC. OAuth, API keys, JWT, webhook signatures — we handle every authentication pattern.
Event-driven integrations using webhooks, polling, or change data capture that keep systems in sync within seconds, not hours.
Map and transform data between systems with different schemas, formats, and conventions. Handle edge cases, missing fields, and schema evolution.
Robust error handling with exponential backoff, dead letter queues, alerting, and manual retry capabilities. No data loss, ever.
Build reusable connectors for proprietary APIs, legacy systems, and custom databases that plug into your integration infrastructure.
Dashboards showing sync status, data volumes, error rates, and latency for every integration — with alerting for anomalies.
Sydney's integration market includes iPaaS platforms (MuleSoft, Boomi, Workato — enterprise integration platforms, A$50,000-200,000/year), integration-focused agencies (Australian firms specializing in system integration), freelance developers (building point-to-point integrations), and native platform integrations (Shopify apps, Salesforce connectors — limited to their ecosystem). iPaaS platforms provide powerful integration capabilities but at enterprise pricing and complexity. Integration agencies offer expertise but often at A$200-350/hr. Freelancers build individual integrations but lack the architectural thinking for multi-system integration. Native integrations are limited to their specific platforms. ZTABS provides custom integration development — architected for your specific systems, at rates competitive with Sydney integration specialists.
Custom integration development in Sydney ranges from A$10,000 for single-system integrations (e-commerce to accounting, CRM to email) to A$100,000+ for multi-system integration platforms (centralized data hub connecting 5+ systems with real-time sync). Sydney integration developers: A$150-280/hr. ZTABS delivers at competitive rates — our integration architecture experience preventing the "spaghetti integration" that happens when integrations are built without a coherent plan.
Verified reviews from real client engagements — sourced from our public testimonial archive and Clutch profile.
My experience is throughout positive. Communication, service, the short response times and the flawless execution of a challenging topic was absolutely great. ZTABS is definitely my first choice again.
Christian Neff
Bank Software Advisory · Bank Software Advisory
Fintech
Fantastic Agency! I couldn't fault them even if I tried. They always go above and beyond to meet your expectations and always produces quality work. Thank you ZTABS.
Stephanie Kal
CEO · Beauty Finder Australia
Marketplace
It has been great working with ZTABS. They bounce off the ideas along the way. Amazing Experience.
Joel Rowe
CEO · Drill Quoter
Marketplace
We don't just contract — we ship and operate our own software. 17 products in production.
Common questions about custom integration development for Sydney businesses
iPaaS (MuleSoft, Workato, Make) for: simple connections between popular SaaS tools (Shopify to Xero, HubSpot to Mailchimp), organizations wanting low-code integration management, and teams wanting to manage integrations without developer support. Custom integration for: complex data transformations, high-volume real-time sync, integration with systems that lack standard connectors, and organizations wanting full control over integration logic and data flow.
ZTABS is a remote-first custom integration development agency serving Houston businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Energy & Oil/Gas, Healthcare & Biotech, Aerospace & Defense companies in Houston, TX via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Custom Integration Development in New York, NYZTABS is a remote-first custom integration development agency serving New York businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Finance & Fintech, Media & Advertising, Fashion & Retail companies in New York, NY via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Custom Integration Development in Los Angeles, CAZTABS is a remote-first custom integration development agency serving Los Angeles businesses — including rest & graphql api integration, real-time sync, data transformation. We work with Entertainment & Media, E-commerce & DTC Brands, Gaming & AR/VR companies in Los Angeles, CA via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Web Development in Sydney, AustraliaZTABS is a remote-first web development agency serving Sydney businesses — including full-stack development, progressive web apps, api development. We work with FinTech, PropTech, HealthTech companies in Sydney, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Web Design in Sydney, AustraliaZTABS is a remote-first web design agency serving Sydney businesses — including ui/ux design, responsive design, custom interfaces. We work with FinTech, PropTech, HealthTech companies in Sydney, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
AI Development in Sydney, AustraliaZTABS is a remote-first AI development agency serving Sydney businesses — including llm integration & fine-tuning, ai agents & automation, rag & knowledge systems. We work with FinTech, PropTech, HealthTech companies in Sydney, Australia via timezone-aligned engineers and async workflows; we do not have a local office, and we are explicit about that with every client.
Custom Integration DevelopmentLearn more about our custom integration development services nationwide.
Partner with ZTABS for expert custom integration development in Sydney. Get a free consultation today.
