Retail and eCommerce Solutions Built for Modern Commerce
We help retail and eCommerce businesses modernize operations, build better digital experiences, and use data and AI to drive customer growth and loyalty.
Trusted by Enterprises Across 30+ Countries
CHALLENGES
Retail and eCommerce Challenges We Solve
Retail and eCommerce businesses face pressure from every direction. Customers expect personalised experiences, fast fulfilment, and seamless journeys across every channel. Operations teams need real-time inventory visibility. And leadership needs data that connects online and offline performance into one clear picture.
Most retail technology stacks weren't designed to deliver all of that. Systems are disconnected, data is siloed, and manual processes slow down the decisions that drive growth. We work with retail and eCommerce businesses to close those gaps and build technology that keeps pace with how customers shop today.
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Disconnected online and offline channels creating poor experiences
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No real-time inventory visibility across locations and warehouses
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Manual merchandising and pricing processes slowing decisions
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Poor personalisation losing customers to more relevant competitors
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Legacy systems blocking AI and data-driven retail initiatives
SOLUTIONS
Our Solutions for Retail and eCommerce Organizations
We design and deliver custom retail and eCommerce software that addresses real operational and customer experience challenges — integrating with the platforms and systems your business already runs on.
Generic eCommerce platforms limit what a retail business can do and how it can grow. We build custom eCommerce platforms designed around your catalogue, customer journey, and operational requirements.
What We Build
Custom eCommerce platforms with product management, checkout, payment integration, and customer account functionality built to your requirements.
What You Get
A storefront that performs the way your business needs, scales with traffic, and supports the customer experience your brand requires.
Customers shop across web, mobile, and in-store without distinguishing between channels. We integrate your commerce systems so inventory, orders, and customer data are consistent and connected across every touchpoint.
What We Build
Omnichannel integration connecting eCommerce, POS, inventory, and CRM systems into one consistent view of the customer and stock.
What You Get
Customers get the same experience across every channel. Operations teams see one accurate view of inventory, orders, and fulfilment.
Generic product recommendations and promotions leave revenue on the table. We build AI-powered personalisation engines that surface the right product, offer, and content to each customer at the right moment.
What We Build
Recommendation engines and personalisation platforms using customer behaviour data to drive relevant product discovery and promotional targeting.
What You Get
Average order value and conversion rates improve. Customers find products faster and return more often because the experience feels relevant.
Inventory inaccuracy costs retail businesses in lost sales, overstock, and fulfilment errors. We build inventory and warehouse management platforms that give operations teams a live, accurate view across all locations.
What We Build
Real-time inventory platforms with multi-location tracking, demand forecasting, replenishment automation, and warehouse workflow management.
What You Get
Stock accuracy improves across all locations. Overstock and stockouts reduce. Fulfilment errors drop and customer SLAs become consistently achievable.
Retail decisions made on stale or disconnected data lead to poor buying, pricing, and promotional choices. We build analytics platforms that connect online and offline data into one view leadership can act on.
What We Build
Retail analytics dashboards covering sales performance, customer behaviour, inventory turns, and channel attribution across all trading channels.
What you get
Buying, pricing, and promotion decisions are based on current, accurate data. Channel performance is visible and comparable in real time.
Most retail AI initiatives stall because customer and operational data is fragmented across disconnected systems. We build the data foundation that makes AI work in production across personalisation, demand forecasting, and inventory use cases.
What We Build
Retail data pipelines connecting eCommerce, POS, ERP, and CRM into a clean, structured layer ready for AI and ML models.
What You Get
Customer, inventory, and sales data flows into one structured layer ready for AI-driven personalisation, forecasting, and demand planning.
OUR PROCESS
Our Approach to Retail and eCommerce
Our Approach
We start by mapping your current commerce technology landscape, customer journey, and operational workflows — identifying where disconnected systems, data gaps, and manual processes are creating the most friction and cost before any build begins.
Key Activities:
- Commerce technology and systems audit
- Customer journey and experience mapping
- Data quality and availability assessment
- Scope definition and priority setting
Our Approach
We design the technical architecture that connects your existing platforms and builds toward the unified, AI-ready commerce foundation the business needs. For retail and eCommerce, integration design is central — systems that don't talk to each other create the fragmented experiences customers notice and leave over.
Key Activities:
- Integration architecture and API design
- Data model and pipeline design
- Technology stack selection and alignment
- Phased delivery roadmap with milestones
Our Approach
We build and deploy in phases that minimise disruption to live trading operations, working alongside your commerce, operations, and technology teams. Every deployment is tested against real customer and operational data before going live to avoid issues during peak trading periods.
Key Activities:
- Phased build and platform integration
- Performance and load testing
- User acceptance testing with operations teams
- Staged deployment with rollback planning
Our Approach
We stay involved after deployment to tune systems against real trading data, address edge cases at scale, and adapt the platform as your catalogue, channels, and customer expectations evolve. Retail technology needs to keep pace with how customers shop — we make sure it does.
Key Activities:
- Post-deployment monitoring and system tuning
- Conversion and performance optimisation
- New channel and feature additions
- Quarterly performance reviews and planning
Our Approach
We start by mapping your current commerce technology landscape, customer journey, and operational workflows — identifying where disconnected systems, data gaps, and manual processes are creating the most friction and cost before any build begins.
Key Activities:
- Commerce technology and systems audit
- Customer journey and experience mapping
- Data quality and availability assessment
- Scope definition and priority setting
Our Approach
We design the technical architecture that connects your existing platforms and builds toward the unified, AI-ready commerce foundation the business needs. For retail and eCommerce, integration design is central — systems that don't talk to each other create the fragmented experiences customers notice and leave over.
Key Activities:
- Integration architecture and API design
- Data model and pipeline design
- Technology stack selection and alignment
- Phased delivery roadmap with milestones
Our Approach
We build and deploy in phases that minimise disruption to live trading operations, working alongside your commerce, operations, and technology teams. Every deployment is tested against real customer and operational data before going live to avoid issues during peak trading periods.
Key Activities:
- Phased build and platform integration
- Performance and load testing
- User acceptance testing with operations teams
- Staged deployment with rollback planning
Our Approach
We stay involved after deployment to tune systems against real trading data, address edge cases at scale, and adapt the platform as your catalogue, channels, and customer expectations evolve. Retail technology needs to keep pace with how customers shop — we make sure it does.
Key Activities:
- Post-deployment monitoring and system tuning
- Conversion and performance optimisation
- New channel and feature additions
- Quarterly performance reviews and planning
Latest Case Studies
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Digital TransformationRebuilt and unified parcel operations for an Australian logistics network across 1,700+ locations
Rebuilt and unified a parcel management platform for an Australian logistics network across 1,700+ locations.
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Data EngineeringDesigned and built every internal clinical system for Australia's leading cancer centre
Built clinical systems, MDT workflows, and an analytics platform for Australia's leading cancer centre.
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Digital TransformationEngineered a joint replacement care platform connecting surgeons, engineers, and patients across 17,350 cases
Built a joint replacement care platform connecting surgeons, engineers, radiologists, and patients across 17,350 cases.
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Digital ModernizationDelivered a multi-phase order lifecycle platform for a global industrial manufacturer
Built a multi-phase order lifecycle automation platform for a global industrial manufacturer across eight years.
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Digital TransformationEliminated IT dependency for Kaizen teams across 30+ manufacturing sites
Built a self-service workflow builder enabling Kaizen teams across 30+ sites to work without IT.
Read Full Case Study →
TESTIMONIALS
Businesses Worldwide Trust Classic Informatics
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★ ★ ★ ★ ★Their support helped us speed up development, expand global partnerships, and set up a cost-friendly cloud infrastructure for the future.
David McLean CEO, Hubbed -
★ ★ ★ ★ ★The API was deployed on schedule, collection revenue improved, and reporting got better. Their understanding of our requirements was exemplary.
Mohamed Tholley Standard Chartered Bank -
★ ★ ★ ★ ★Classic Informatics built and modernized our loan workflow platform, maintaining the same team across three years — critical for a product of this complexity.
Soren Scheibye Co-Founder, UdenomBanken -
★ ★ ★ ★ ★Everyone is professional, friendly, and diligent. Even in hectic times, work is always completed reliably — often after hours without complaint.
Daniel Hoffmann Founder, FAMILIARA GmbH -
★ ★ ★ ★ ★They delivered a seamless product with great code — organised, solution-oriented, and always willing to work through any problem.
David Englestien Director, Bloonaway -
★ ★ ★ ★ ★Always timely, highly communicative, and capable of taking on any kind and size of project — an unparalleled level of service.
Francesco De Conto Co-Founder, Kashew -
★ ★ ★ ★ ★Their skill set is unmatched — developers available for any requirement. We grew from 3 to 12 locations thanks to their work.
Software Manager, ParkCo Inc. -
★ ★ ★ ★ ★They're contributors and partners, not just vendors — bringing expertise and suggestions beyond the scope of work. Our product launch was a success.
Sonika Mehta Co-Founder, Zonka Feedback
PARTNER WITH US
Why Classic Informatics?
Value Beyond Code
Real-time data and modern systems give your teams the visibility to act.
Deep Tech Expertise
20+ years across legacy, data, and AI — the hard problems aren't new to us.
Built for Growth
We align every solution to your business goals, not just your tech stack.
Reliable Delivery
Expert teams who move fast, communicate clearly, and deliver on time.
AI-First Approach
Every solution we build is designed with AI in mind, from architecture to delivery.
Complete Transparency
You know what we're building, why, and what it costs — at every stage.
FAQS
Frequently Asked Questions
Yes. We work across both — digital-first eCommerce brands looking to scale their platforms, and traditional retailers modernizing their technology to compete in an omnichannel environment. The approach adapts to where the business is and what it needs to build.
Build the Commerce Technology Your Business Needs to Grow
From eCommerce platforms to AI-ready retail data infrastructure.